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Toledo JB, Salmon DP, Armstrong MJ, Galasko D. Cognitive decline profiles associated with lewy pathology in the context of Alzheimer's disease neuropathologic change. Alzheimers Res Ther 2024; 16:270. [PMID: 39707423 PMCID: PMC11660495 DOI: 10.1186/s13195-024-01628-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2024] [Accepted: 11/18/2024] [Indexed: 12/23/2024]
Abstract
BACKGROUND Alzheimer's disease neuropathologic change (ADNC) and Lewy pathology (LP) often coexist in cognitively impaired individuals. These pathologies' relative distribution and severity may modify these individuals' clinical presentation, cognitive profile, and prognosis. Therefore, we examined the contributions of LP and concomitant ADNC to disease survival and profiles of cognitive decline in preclinical and clinical stages in a large neuropathologically diagnosed group. METHODS We evaluated 597 participants with LP and 491 participants with intermediate/high ADNC in the absence of LP from the National Alzheimer Coordinating Center (NACC) database. At baseline, 237 participants were cognitively normal (CN), 255 were diagnosed with mild cognitive impairment (MCI), and 596 with dementia. Cognition was assessed using three cognitive domain scores (i.e., Memory, Executive, and Language) from the NACC Uniform Dataset (UDS) neuropsychological test battery, MMSE, and Clinical Dementia Rating (CDR). Multivariate adaptive regression splines were used to evaluate associations between baseline cognitive scores and mean annual rate of change over two years. The likelihood of progression to MCI or dementia was assessed using Cox hazard models. RESULTS Neocortical LP, independent of the clinical diagnosis, was associated with lower Executive and higher Language and Memory scores at baseline, whereas Braak V-VI neurofibrillary tangle pathology was associated with lower Memory and Language scores. Similarly, neocortical LP was associated with faster Executive decline, whereas Braak V-VI neurofibrillary tangle pathology was associated with faster Memory and Language decline. A clinical diagnosis of Lewy Body Dementia (i.e., a strong LP phenotype) was associated with the LP cognitive profile and shorter disease duration. Progression to incident MCI or dementia was primarily associated with the degree of tau pathology; neocortical LP or a diagnosis of Lewy Body Dementia only predicted progression when those with intermediate/high ADNC were excluded. CONCLUSIONS LP and ADNC differentially affected cross-sectional and longitudinal cognitive profiles in a large autopsy sample. Concomitant Braak V-VI neurofibrillary tangle pathology had a strong impact on clinical progression in those with LP, regardless of the initial stage. Thus, LB and ADNC co-pathology interact to affect cognitive domains that may be used to track Lewy Body disease longitudinally and as outcome measures in therapeutic trials.
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Affiliation(s)
- Jon B Toledo
- Stanley H. Appel Department of Neurology, Nantz National Alzheimer Center, Houston Methodist Hospital, Houston, TX, USA.
| | - David P Salmon
- Shiley-Marcos Alzheimer's Disease Research Center, Department of Neurosciences, University of California, San Diego, CA, USA
| | - Melissa J Armstrong
- Department of Neurology, Fixel Institute, University of Florida College of Medicine, Gainesville, FL, USA
| | - Douglas Galasko
- Shiley-Marcos Alzheimer's Disease Research Center, Department of Neurosciences, University of California, San Diego, CA, USA
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2
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Thomas JA, Tröster AI. Neuropsychology and Movement Disorders. Neurol Clin 2024; 42:821-833. [PMID: 39343477 DOI: 10.1016/j.ncl.2024.05.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/01/2024]
Abstract
Neuropsychology is important in differential diagnosis, treatment planning, surgical work-up, and support of patients with movement disorders and their families. The cognitive profiles of several movement disorders are reviewed here. The authors also review relevant neuropsychologic literature related to neurosurgic intervention and cognitive-enhancing medication for patients with movement disorders.
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Affiliation(s)
- Julia A Thomas
- Department of Clinical Neuropsychology, Barrow Neurological Institute, 222 West Thomas Road, Suite 315, Phoenix, AZ 85013, USA
| | - Alexander I Tröster
- Department of Clinical Neuropsychology, Barrow Neurological Institute, 222 West Thomas Road, Suite 315, Phoenix, AZ 85013, USA.
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3
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Noroozi M, Gholami M, Sadeghsalehi H, Behzadi S, Habibzadeh A, Erabi G, Sadatmadani SF, Diyanati M, Rezaee A, Dianati M, Rasoulian P, Khani Siyah Rood Y, Ilati F, Hadavi SM, Arbab Mojeni F, Roostaie M, Deravi N. Machine and deep learning algorithms for classifying different types of dementia: A literature review. APPLIED NEUROPSYCHOLOGY. ADULT 2024:1-15. [PMID: 39087520 DOI: 10.1080/23279095.2024.2382823] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/02/2024]
Abstract
The cognitive impairment known as dementia affects millions of individuals throughout the globe. The use of machine learning (ML) and deep learning (DL) algorithms has shown great promise as a means of early identification and treatment of dementia. Dementias such as Alzheimer's Dementia, frontotemporal dementia, Lewy body dementia, and vascular dementia are all discussed in this article, along with a literature review on using ML algorithms in their diagnosis. Different ML algorithms, such as support vector machines, artificial neural networks, decision trees, and random forests, are compared and contrasted, along with their benefits and drawbacks. As discussed in this article, accurate ML models may be achieved by carefully considering feature selection and data preparation. We also discuss how ML algorithms can predict disease progression and patient responses to therapy. However, overreliance on ML and DL technologies should be avoided without further proof. It's important to note that these technologies are meant to assist in diagnosis but should not be used as the sole criteria for a final diagnosis. The research implies that ML algorithms may help increase the precision with which dementia is diagnosed, especially in its early stages. The efficacy of ML and DL algorithms in clinical contexts must be verified, and ethical issues around the use of personal data must be addressed, but this requires more study.
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Affiliation(s)
- Masoud Noroozi
- Department of Biomedical Engineering, Faculty of Engineering, University of Isfahan, Isfahan, Iran
| | - Mohammadreza Gholami
- Department of Electrical and Computer Engineering, Tarbiat Modares Univeristy, Tehran, Iran
| | - Hamidreza Sadeghsalehi
- Department of Artificial Intelligence in Medical Sciences, Iran University of Medical Sciences, Tehran, Iran
| | - Saleh Behzadi
- Student Research Committee, Rafsanjan University of Medical Sciences, Rafsanjan, Iran
| | - Adrina Habibzadeh
- Student Research Committee, Fasa University of Medical Sciences, Fasa, Iran
- USERN Office, Fasa University of Medical Sciences, Fasa, Iran
| | - Gisou Erabi
- Student Research Committee, Urmia University of Medical Sciences, Urmia, Iran
| | | | - Mitra Diyanati
- Paul M. Rady Department of Mechanical Engineering, University of Colorado Boulder, Boulder, CO, USA
| | - Aryan Rezaee
- Student Research Committee, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Maryam Dianati
- Student Research Committee, Rafsanjan University of Medical Sciences, Rafsanjan, Iran
| | - Pegah Rasoulian
- Sports Medicine Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Yashar Khani Siyah Rood
- Faculty of Engineering, Computer Engineering, Islamic Azad University of Bandar Abbas, Bandar Abbas, Iran
| | - Fatemeh Ilati
- Student Research Committee, Faculty of Medicine, Islamic Azad University of Mashhad, Mashhad, Iran
| | | | - Fariba Arbab Mojeni
- Student Research Committee, School of Medicine, Mazandaran University of Medical Sciences, Sari, Iran
| | - Minoo Roostaie
- School of Medicine, Islamic Azad University Tehran Medical Branch, Tehran, Iran
| | - Niloofar Deravi
- Student Research Committee, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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4
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Cao LX, Kong WL, Chan P, Zhang W, Morris MJ, Huang Y. Assessment tools for cognitive performance in Parkinson's disease and its genetic contributors. Front Neurol 2024; 15:1413187. [PMID: 38988604 PMCID: PMC11233456 DOI: 10.3389/fneur.2024.1413187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Accepted: 06/14/2024] [Indexed: 07/12/2024] Open
Abstract
Background We have shown that genetic factors associating with motor progression of Parkinson's disease (PD), but their roles in cognitive function is poorly understood. One reason is that while cognitive performance in PD can be evaluated by various cognitive scales, there is no definitive guide indicating which tool performs better. Methods Data were obtained from the Parkinson's Progression Markers Initiative, where cognitive performance was assessed using five cognitive screening tools, including Symbol Digit Modalities Test (SDMT), Montreal Cognitive Assessment, Benton Judgment of Line Orientation, Modified Semantic Fluency Test, and Letter Number Sequencing Test, at baseline and subsequent annual follow-up visit for 5 years. Genetic data including ApoE and other PD risk genetic information were also obtained. We used SPSS-receiver operating characteristic and ANOVA repeated measures to evaluate which cognitive assessment is the best reflecting cognitive performance in PD at early stage and over time. Logistic regression analyses were used to determine the genetic associations with the rapidity of cognitive decline in PD. Results SDMT performed better in detecting mild cognitive impairment at baseline (AUC = 0.763), and SDMT was the only tool showing a steady cognitive decline during longitudinal observation. Multigenetic factors significantly associated with cognitive impairment at early stage of the disease (AUC = 0.950) with IP6K2 rs12497850 more evident, and a significantly faster decline (AUC = 0.831) within 5 years after motor onset, particularly in those carrying FGF20 rs591323. Conclusion SDMT is a preferable cognitive assessment tool for PD and genetic factors synergistically contribute to the cognitive dysfunction in PD.
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Affiliation(s)
- Ling-Xiao Cao
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Wee Lee Kong
- Pharmacology Department, School of Biomedical Sciences, Faculty of Medicine and Health, UNSW Sydney, Sydney, NSW, Australia
| | - Piu Chan
- Department of Neurobiology, Neurology and Geriatrics, National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Wei Zhang
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Margaret J. Morris
- Pharmacology Department, School of Biomedical Sciences, Faculty of Medicine and Health, UNSW Sydney, Sydney, NSW, Australia
| | - Yue Huang
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Pharmacology Department, School of Biomedical Sciences, Faculty of Medicine and Health, UNSW Sydney, Sydney, NSW, Australia
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5
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Alzola P, Carnero C, Bermejo-Pareja F, Sánchez-Benavides G, Peña-Casanova J, Puertas-Martín V, Fernández-Calvo B, Contador I. Neuropsychological Assessment for Early Detection and Diagnosis of Dementia: Current Knowledge and New Insights. J Clin Med 2024; 13:3442. [PMID: 38929971 PMCID: PMC11204334 DOI: 10.3390/jcm13123442] [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: 05/15/2024] [Revised: 06/06/2024] [Accepted: 06/10/2024] [Indexed: 06/28/2024] Open
Abstract
Dementia remains an underdiagnosed syndrome, and there is a need to improve the early detection of cognitive decline. This narrative review examines the role of neuropsychological assessment in the characterization of cognitive changes associated with dementia syndrome at different states. The first section describes the early indicators of cognitive decline and the major barriers to their identification. Further, the optimal cognitive screening conditions and the most widely accepted tests are described. The second section analyzes the main differences in cognitive performance between Alzheimer's disease and other subtypes of dementia. Finally, the current challenges of neuropsychological assessment in aging/dementia and future approaches are discussed. Essentially, we find that current research is beginning to uncover early cognitive changes that precede dementia, while continuing to improve and refine the differential diagnosis of neurodegenerative disorders that cause dementia. However, neuropsychology faces several barriers, including the cultural diversity of the populations, a limited implementation in public health systems, and the adaptation to technological advances. Nowadays, neuropsychological assessment plays a fundamental role in characterizing cognitive decline in the different stages of dementia, but more efforts are needed to develop harmonized procedures that facilitate its use in different clinical contexts and research protocols.
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Affiliation(s)
- Patricia Alzola
- Department of Basic Psychology, Psychobiology and Methodology of Behavioral Sciences, University of Salamanca, 37005 Salamanca, Spain;
| | - Cristóbal Carnero
- Neurology Department, Granada University Hospital Complex, 18014 Granada, Spain
| | - Félix Bermejo-Pareja
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Institute of Health Carlos III, 28029 Madrid, Spain
- Institute of Research i+12, University Hospital “12 de Octubre”, 28041 Madrid, Spain
| | | | | | | | | | - Israel Contador
- Department of Basic Psychology, Psychobiology and Methodology of Behavioral Sciences, University of Salamanca, 37005 Salamanca, Spain;
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6
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Bosch PJ, Kerr G, Cole R, Warwick CA, Wendt LH, Pradeep A, Bagnall E, Aldridge GM. Enhanced Spine Stability and Survival Lead to Increases in Dendritic Spine Density as an Early Response to Local Alpha-Synuclein Overexpression in Mouse Prefrontal Cortex. Cell Mol Neurobiol 2024; 44:42. [PMID: 38668880 PMCID: PMC11052719 DOI: 10.1007/s10571-024-01472-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Accepted: 03/18/2024] [Indexed: 04/29/2024]
Abstract
Lewy Body Dementias (LBD), including Parkinson's disease dementia and Dementia with Lewy Bodies, are characterized by widespread accumulation of intracellular alpha-Synuclein protein deposits in regions beyond the brainstem, including in the cortex. However, the impact of local pathology in the cortex is unknown. To investigate this, we employed viral overexpression of human alpha-Synuclein protein targeting the mouse prefrontal cortex (PFC). We then used in vivo 2-photon microscopy to image awake head-fixed mice via an implanted chronic cranial window to assess the early consequences of alpha-Synuclein overexpression in the weeks following overexpression. We imaged apical tufts of Layer V pyramidal neurons in the PFC of Thy1-YFP transgenic mice at 1-week intervals from 1 to 2 weeks before and 9 weeks following viral overexpression, allowing analysis of dynamic changes in dendritic spines. We found an increase in the relative dendritic spine density following local overexpression of alpha-Synuclein, beginning at 5 weeks post-injection, and persisting for the remainder of the study. We found that alpha-Synuclein overexpression led to an increased percentage and longevity of newly-persistent spines, without significant changes in the total density of newly formed or eliminated spines. A follow-up study utilizing confocal microscopy revealed that the increased spine density is found in cortical cells within the alpha-Synuclein injection site, but negative for alpha-Synuclein phosphorylation at Serine-129, highlighting the potential for effects of dose and local circuits on spine survival. These findings have important implications for the physiological role and early pathological stages of alpha-Synuclein in the cortex.
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Affiliation(s)
- Peter J Bosch
- Department of Neurology, Carver College of Medicine, University of Iowa, 169 Newton Road, Pappajohn Biomedical Discovery Building, Iowa City, 52242, USA
| | - Gemma Kerr
- Department of Neurology, Carver College of Medicine, University of Iowa, 169 Newton Road, Pappajohn Biomedical Discovery Building, Iowa City, 52242, USA
| | - Rachel Cole
- Department of Neurology, Carver College of Medicine, University of Iowa, 169 Newton Road, Pappajohn Biomedical Discovery Building, Iowa City, 52242, USA
| | | | - Linder H Wendt
- Institute for Clinical and Translational Science, University of Iowa, Iowa City, IA, USA
| | - Akash Pradeep
- Department of Neurology, Carver College of Medicine, University of Iowa, 169 Newton Road, Pappajohn Biomedical Discovery Building, Iowa City, 52242, USA
| | - Emma Bagnall
- Department of Neurology, Carver College of Medicine, University of Iowa, 169 Newton Road, Pappajohn Biomedical Discovery Building, Iowa City, 52242, USA
| | - Georgina M Aldridge
- Department of Neurology, Carver College of Medicine, University of Iowa, 169 Newton Road, Pappajohn Biomedical Discovery Building, Iowa City, 52242, USA.
- Iowa Neuroscience Institute, University of Iowa, Iowa City, IA, USA.
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7
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Šubert M, Novotný M, Tykalová T, Hlavnička J, Dušek P, Růžička E, Škrabal D, Pelletier A, Postuma RB, Montplaisir J, Gagnon JF, Galbiati A, Ferini-Strambi L, Marelli S, St Louis EK, Timm PC, Teigen LN, Janzen A, Oertel W, Heim B, Holzknecht E, Stefani A, Högl B, Dauvilliers Y, Evangelista E, Šonka K, Rusz J. Spoken Language Alterations can Predict Phenoconversion in Isolated Rapid Eye Movement Sleep Behavior Disorder: A Multicenter Study. Ann Neurol 2024; 95:530-543. [PMID: 37997483 DOI: 10.1002/ana.26835] [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: 07/06/2023] [Revised: 11/13/2023] [Accepted: 11/20/2023] [Indexed: 11/25/2023]
Abstract
OBJECTIVE This study assessed the relationship between speech and language impairment and outcome in a multicenter cohort of isolated/idiopathic rapid eye movement (REM) sleep behavior disorder (iRBD). METHODS Patients with iRBD from 7 centers speaking Czech, English, German, French, and Italian languages underwent a detailed speech assessment at baseline. Story-tale narratives were transcribed and linguistically annotated using fully automated methods based on automatic speech recognition and natural language processing algorithms, leading to the 3 distinctive linguistic and 2 acoustic patterns of language deterioration and associated composite indexes of their overall severity. Patients were then prospectively followed and received assessments for parkinsonism or dementia during follow-up. The Cox proportional hazard was performed to evaluate the predictive value of language patterns for phenoconversion over a follow-up period of 5 years. RESULTS Of 180 patients free of parkinsonism or dementia, 156 provided follow-up information. After a mean follow-up of 2.7 years, 42 (26.9%) patients developed neurodegenerative disease. Patients with higher severity of linguistic abnormalities (hazard ratio [HR = 2.35]) and acoustic abnormalities (HR = 1.92) were more likely to develop a defined neurodegenerative disease, with converters having lower content richness (HR = 1.74), slower articulation rate (HR = 1.58), and prolonged pauses (HR = 1.46). Dementia-first (n = 16) and parkinsonism-first with mild cognitive impairment (n = 9) converters had higher severity of linguistic abnormalities than parkinsonism-first with normal cognition converters (n = 17). INTERPRETATION Automated language analysis might provide a predictor of phenoconversion from iRBD into synucleinopathy subtypes with cognitive impairment, and thus can be used to stratify patients for neuroprotective trials. ANN NEUROL 2024;95:530-543.
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Affiliation(s)
- Martin Šubert
- Department of Circuit Theory, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic
| | - Michal Novotný
- Department of Circuit Theory, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic
| | - Tereza Tykalová
- Department of Circuit Theory, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic
| | - Jan Hlavnička
- Department of Circuit Theory, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic
| | - Petr Dušek
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Evžen Růžička
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Dominik Škrabal
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Amelie Pelletier
- Department of Neurology, Research Institute of the McGill University Health Centre, Montreal General Hospital, Montreal, Quebec, Canada
- Center for Advanced Research in Sleep Medicine, CIUSSS-NÎM - Hôpital du Sacré-Coeur de Montréal, Montreal, Quebec, Canada
| | - Ronald B Postuma
- Department of Neurology, Research Institute of the McGill University Health Centre, Montreal General Hospital, Montreal, Quebec, Canada
- Center for Advanced Research in Sleep Medicine, CIUSSS-NÎM - Hôpital du Sacré-Coeur de Montréal, Montreal, Quebec, Canada
| | - Jacques Montplaisir
- Center for Advanced Research in Sleep Medicine, CIUSSS-NÎM - Hôpital du Sacré-Coeur de Montréal, Montreal, Quebec, Canada
| | - Jean-François Gagnon
- Center for Advanced Research in Sleep Medicine, CIUSSS-NÎM - Hôpital du Sacré-Coeur de Montréal, Montreal, Quebec, Canada
| | - Andrea Galbiati
- Sleep Disorders Center, Division of Neuroscience, Ospedale San Raffaele, Università Vita-Salute, Milan, Italy
- Department of Psychology, "Vita-Salute" San Raffaele University, Milan, Italy
| | - Luigi Ferini-Strambi
- Sleep Disorders Center, Division of Neuroscience, Ospedale San Raffaele, Università Vita-Salute, Milan, Italy
- Department of Psychology, "Vita-Salute" San Raffaele University, Milan, Italy
| | - Sara Marelli
- Sleep Disorders Center, Division of Neuroscience, Ospedale San Raffaele, Università Vita-Salute, Milan, Italy
| | - Erik K St Louis
- Mayo Center for Sleep Medicine, and Sleep Behavior and Neurophysiology Research Laboratory, Departments of Neurology and Medicine, Division of Pulmonary and Critical Care Medicine Mayo Clinic College of Medicine and Science Rochester, Rochester, MN, USA
- Mayo Clinic Health System Southwest Wisconsin, La Crosse, WI, USA
| | - Paul C Timm
- Mayo Center for Sleep Medicine, and Sleep Behavior and Neurophysiology Research Laboratory, Departments of Neurology and Medicine, Division of Pulmonary and Critical Care Medicine Mayo Clinic College of Medicine and Science Rochester, Rochester, MN, USA
| | - Luke N Teigen
- Mayo Center for Sleep Medicine, and Sleep Behavior and Neurophysiology Research Laboratory, Departments of Neurology and Medicine, Division of Pulmonary and Critical Care Medicine Mayo Clinic College of Medicine and Science Rochester, Rochester, MN, USA
| | - Annette Janzen
- Department of Neurology, Philipps University Marburg, Marburg, Germany
| | - Wolfgang Oertel
- Department of Neurology, Philipps University Marburg, Marburg, Germany
| | - Beatrice Heim
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Evi Holzknecht
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Ambra Stefani
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Birgit Högl
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Yves Dauvilliers
- National Reference Network for Narcolepsy, Sleep-Wake Disorder Unit, Department of Neurology, Gui-de-Chauliac Hospital, CHU Montpellier, INSERM, University of Montpellier, Montpellier, France
| | - Elisa Evangelista
- National Reference Network for Narcolepsy, Sleep-Wake Disorder Unit, Department of Neurology, Gui-de-Chauliac Hospital, CHU Montpellier, INSERM, University of Montpellier, Montpellier, France
| | - Karel Šonka
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Jan Rusz
- Department of Circuit Theory, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
- Department of Neurology & ARTORG Center, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
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Hirschberg Y, Valle‐Tamayo N, Dols‐Icardo O, Engelborghs S, Buelens B, Vandenbroucke RE, Vermeiren Y, Boonen K, Mertens I. Proteomic comparison between non-purified cerebrospinal fluid and cerebrospinal fluid-derived extracellular vesicles from patients with Alzheimer's, Parkinson's and Lewy body dementia. J Extracell Vesicles 2023; 12:e12383. [PMID: 38082559 PMCID: PMC10714029 DOI: 10.1002/jev2.12383] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 10/16/2023] [Accepted: 11/09/2023] [Indexed: 12/18/2023] Open
Abstract
Dementia is a leading cause of death worldwide, with increasing prevalence as global life expectancy increases. The most common neurodegenerative disorders are Alzheimer's disease (AD), dementia with Lewy bodies (DLB) and Parkinson's disease dementia (PDD). With this study, we took an in-depth look at the proteome of the (non-purified) cerebrospinal fluid (CSF) and the CSF-derived extracellular vesicles (EVs) of AD, PD, PD-MCI (Parkinson's disease with mild cognitive impairment), PDD and DLB patients analysed by label-free mass spectrometry. This has led to the discovery of differentially expressed proteins that may be helpful for differential diagnosis. We observed a greater number of differentially expressed proteins in CSF-derived EV samples (N = 276) compared to non-purified CSF (N = 169), with minimal overlap between both datasets. This finding suggests that CSF-derived EV samples may be more suitable for the discovery phase of a biomarker study, due to the removal of more abundant proteins, resulting in a narrower dynamic range. As disease-specific markers, we selected a total of 39 biomarker candidates identified in non-purified CSF, and 37 biomarker candidates across the different diseases under investigation in the CSF-derived EV data. After further exploration and validation of these proteins, they can be used to further differentiate between the included dementias and may offer new avenues for research into more disease-specific pharmacological therapeutics.
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Affiliation(s)
- Yael Hirschberg
- Health UnitFlemish Institute for Technological Research (VITO)MolBelgium
- Centre for Proteomics (CfP)University of AntwerpAntwerpBelgium
| | - Natalia Valle‐Tamayo
- Department of Neurology, Sant Pau Memory Unit, Sant Pau Biomedical Research InstituteHospital de la Santa Creu i Sant Pau, Universitat Autònoma de BarcelonaBarcelonaSpain
- Network Center for Biomedical Research in Neurodegenerative Diseases (CIBERNED)MadridSpain
| | - Oriol Dols‐Icardo
- Department of Neurology, Sant Pau Memory Unit, Sant Pau Biomedical Research InstituteHospital de la Santa Creu i Sant Pau, Universitat Autònoma de BarcelonaBarcelonaSpain
- Network Center for Biomedical Research in Neurodegenerative Diseases (CIBERNED)MadridSpain
| | - Sebastiaan Engelborghs
- Department of Neurology and Bru‐BRAINUniversitair Ziekenhuis Brussel and NEUR Research Group, Center for Neurosciences (C4N), Vrije Universiteit Brussel (VUB)BrusselsBelgium
- Department of Biomedical SciencesUniversity of AntwerpAntwerpBelgium
| | - Bart Buelens
- Data Science Hub, Flemish Institute for Technological Research (VITO)MolBelgium
| | - Roosmarijn E. Vandenbroucke
- VIB Center for Inflammation Research, VIBGhentBelgium
- Department of Biomedical Molecular BiologyGhent UniversityGhentBelgium
| | - Yannick Vermeiren
- Faculty of Medicine & Health Sciences, Translational NeurosciencesUniversity of AntwerpAntwerpBelgium
- Division of Human Nutrition and Health, Chair Group of Nutritional BiologyWageningen University & Research (WUR)WageningenThe Netherlands
| | - Kurt Boonen
- Health UnitFlemish Institute for Technological Research (VITO)MolBelgium
- Centre for Proteomics (CfP)University of AntwerpAntwerpBelgium
| | - Inge Mertens
- Health UnitFlemish Institute for Technological Research (VITO)MolBelgium
- Centre for Proteomics (CfP)University of AntwerpAntwerpBelgium
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9
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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: 0.5] [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.
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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
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10
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Gharbi A, Nasri A, Sghaier I, Kacem I, Mrabet S, Souissi A, Ben Djebara M, Gargouri A, Gouider R. Subtypes of Dementia with Lewy Bodies: Clinical Features, Survival, and Apolipoprotein E Effect. J Alzheimers Dis Rep 2023; 7:1277-1288. [PMID: 38143772 PMCID: PMC10741894 DOI: 10.3233/adr-230064] [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: 07/11/2023] [Accepted: 11/01/2023] [Indexed: 12/26/2023] Open
Abstract
Background Dementia with Lewy bodies (DLB) is a progressive neurodegenerative disease with various clinical symptoms. Limited data have described the clinical subtypes of DLB. Objective We aimed to compare clinical subtypes of DLB according to initial symptoms and to study the effect of Apolipoprotein E (APOE) gene in DLB. Methods We included DLB patients classified into three groups based on initial symptoms: non-motor onset (cognitive and/or psychiatric) (NMO-DLB), motor onset (parkinsonism and/or gait disorders) (MO-DLB), and mixed onset (non-motor and motor symptoms) (MXO-DLB). Clinical and APOE genotype associations and survival were analyzed. Results A total of 268 patients were included (NMO-DLB = 75%, MXO-DLB = 15.3%, MO-DLB = 9.7%). Visual hallucinations were more frequent (p = 0.025), and attention was less commonly impaired in MXO-DLB (p = 0.047). When adjusting with APOE ɛ4 status (APOE genotype performed in 155 patients), earlier falls and frontal lobe syndrome were more common in MXO-DLB (p = 0.044 and p = 0.023, respectively). The median MMSE decline was 2.1 points/year and the median FAB decline was 1.9 points/year, with no effect of clinical subtypes. Median survival was 6 years. It was similar in DLB subtypes (p = 0.62), but shorter for patients with memory symptoms at onset (p = 0.04) and for males (p = 0.0058). Conclusions Our study revealed a few differences between DLB clinical subtypes. APOE ɛ4 appears to be associated with earlier falls and a higher prevalence of frontal syndrome in MXO-DLB. However, DLB clinical subtypes did not impact on survival. Nevertheless, survival analysis identified other poor prognosis factors, notably inaugural memory impairment and male gender.
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Affiliation(s)
- Alya Gharbi
- Neurology Department, Razi University Hospital, Tunis, Tunisia
- Faculty of Medicine of Tunis, University of Tunis El Manar, Tunis, Tunisia
- Clinical Investigation Center (CIC) “Neurosciences and Mental Health”, Razi University Hospital, Tunis, Tunisia
| | - Amina Nasri
- Neurology Department, Razi University Hospital, Tunis, Tunisia
- Faculty of Medicine of Tunis, University of Tunis El Manar, Tunis, Tunisia
- Clinical Investigation Center (CIC) “Neurosciences and Mental Health”, Razi University Hospital, Tunis, Tunisia
| | - Ikram Sghaier
- Neurology Department, Razi University Hospital, Tunis, Tunisia
- Faculty of Medicine of Tunis, University of Tunis El Manar, Tunis, Tunisia
- Clinical Investigation Center (CIC) “Neurosciences and Mental Health”, Razi University Hospital, Tunis, Tunisia
| | - Imen Kacem
- Neurology Department, Razi University Hospital, Tunis, Tunisia
- Faculty of Medicine of Tunis, University of Tunis El Manar, Tunis, Tunisia
- Clinical Investigation Center (CIC) “Neurosciences and Mental Health”, Razi University Hospital, Tunis, Tunisia
| | - Saloua Mrabet
- Neurology Department, Razi University Hospital, Tunis, Tunisia
- Faculty of Medicine of Tunis, University of Tunis El Manar, Tunis, Tunisia
- Clinical Investigation Center (CIC) “Neurosciences and Mental Health”, Razi University Hospital, Tunis, Tunisia
| | - Amira Souissi
- Neurology Department, Razi University Hospital, Tunis, Tunisia
- Faculty of Medicine of Tunis, University of Tunis El Manar, Tunis, Tunisia
- Clinical Investigation Center (CIC) “Neurosciences and Mental Health”, Razi University Hospital, Tunis, Tunisia
| | - Mouna Ben Djebara
- Neurology Department, Razi University Hospital, Tunis, Tunisia
- Faculty of Medicine of Tunis, University of Tunis El Manar, Tunis, Tunisia
- Clinical Investigation Center (CIC) “Neurosciences and Mental Health”, Razi University Hospital, Tunis, Tunisia
| | - Amina Gargouri
- Neurology Department, Razi University Hospital, Tunis, Tunisia
- Faculty of Medicine of Tunis, University of Tunis El Manar, Tunis, Tunisia
- Clinical Investigation Center (CIC) “Neurosciences and Mental Health”, Razi University Hospital, Tunis, Tunisia
| | - Riadh Gouider
- Neurology Department, Razi University Hospital, Tunis, Tunisia
- Faculty of Medicine of Tunis, University of Tunis El Manar, Tunis, Tunisia
- Clinical Investigation Center (CIC) “Neurosciences and Mental Health”, Razi University Hospital, Tunis, Tunisia
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11
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Choudhury P, Zhang N, Adler CH, Chen K, Belden C, Driver-Dunckley E, Mehta SH, Shprecher DR, Serrano G, Shill HA, Beach TG, Atri A. Longitudinal motor decline in dementia with Lewy bodies, Parkinson disease dementia, and Alzheimer's dementia in a community autopsy cohort. Alzheimers Dement 2023; 19:4377-4387. [PMID: 37422286 PMCID: PMC10592344 DOI: 10.1002/alz.13357] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 05/04/2023] [Accepted: 05/05/2023] [Indexed: 07/10/2023]
Abstract
INTRODUCTION We examined the progression of extrapyramidal symptoms and signs in autopsy-confirmed dementia with Lewy bodies (DLB), Parkinson's disease dementia (PDD), and Alzheimer's disease dementia (AD). METHODS Longitudinal data were obtained from Arizona Study of Aging and Neurodegenerative Disease, with PDD (n = 98), AD (n = 47) and DLB (n = 48) further sub-grouped as with or without parkinsonism (DLB+ and DLB-). Within-group Unified Parkinson's Disease Rating Scale (UPDRS) -II and UPDRS-III trajectories were analyzed using non-linear mixed effects models. RESULTS In DLB, 65.6% had parkinsonism. Baseline UPDRS-II and III scores (off-stage) were highest (P < 0.001) for PDD (mean ± SD 14.3 ± 7.8 and 27.4 ± 16.3), followed by DLB+ (6.0 ± 8.8 and 17.2 ± 17.1), DLB- (1.1 ± 1.3 and 3.3 ± 5.5) and AD (3.2 ± 6.1 and 8.2 ± 13.6). Compared to PDD, the DLB+ group had faster UPDRS-III progression over 8-years (Cohen's-d range 0.98 to 2.79, P < 0.001), driven by gait (P < 0.001) and limb bradykinesia (P = 0.02) subscales. DISCUSSION Motor deficits progress faster in DLB+ than PDD, providing insights about expected changes in motor function. HIGHLIGHTS Dementia with Lewy bodies has faster motor progression than Parkinson's disease dementia Linear and non-linear mixed modeling analysis of longitudinal data was utilized Findings have implications for clinical prognostication and trial design.
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Affiliation(s)
- Parichita Choudhury
- Cleo Roberts Center, Banner Sun Health Research Institute, Sun City, Arizona, 85351, USA
| | - Nan Zhang
- Department of Quantitative Health Sciences, Mayo Clinic College of Medicine, Scottsdale, Arizona, 85259, USA
| | - Charles H. Adler
- Department of Neurology, Mayo Clinic College of Medicine, Scottsdale, Arizona, 85259, USA
| | - Kewei Chen
- Computational Imaging Lab, Banner Alzheimer’s Institute, Phoenix, Arizona, 85006, USA
| | - Christine Belden
- Cleo Roberts Center, Banner Sun Health Research Institute, Sun City, Arizona, 85351, USA
| | - Erika Driver-Dunckley
- Department of Neurology, Mayo Clinic College of Medicine, Scottsdale, Arizona, 85259, USA
| | - Shyamal H. Mehta
- Computational Imaging Lab, Banner Alzheimer’s Institute, Phoenix, Arizona, 85006, USA
| | - David R. Shprecher
- Cleo Roberts Center, Banner Sun Health Research Institute, Sun City, Arizona, 85351, USA
| | - Geidy Serrano
- Civin Laboratory for Neuropathology, Banner Sun Health Research Institute, Sun City, Arizona, 85351, USA
| | - Holly A. Shill
- Department of Neurology, Barrow Neurological Institute, Phoenix, Arizona, 85013, USA
| | - Thomas G. Beach
- Civin Laboratory for Neuropathology, Banner Sun Health Research Institute, Sun City, Arizona, 85351, USA
| | - Alireza Atri
- Cleo Roberts Center, Banner Sun Health Research Institute, Sun City, Arizona, 85351, USA
- Center for Brain/Mind Medicine & Department of Neurology, Brigham and Women’s Hospital, Boston, MA, 02115, USA
- Harvard Medical School, Boston, MA, 02115, USA
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12
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Chappelle SD, Gigliotti C, Léger GC, Peavy GM, Jacobs DM, Banks SJ, Little EA, Galasko D, Salmon DP. Comparison of the telephone-Montreal Cognitive Assessment (T-MoCA) and Telephone Interview for Cognitive Status (TICS) as screening tests for early Alzheimer's disease. Alzheimers Dement 2023; 19:4599-4608. [PMID: 36939111 PMCID: PMC10509307 DOI: 10.1002/alz.13039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 02/16/2023] [Accepted: 02/19/2023] [Indexed: 03/21/2023]
Abstract
INTRODUCTION Remote screening for cognitive impairment associated with Alzheimer's disease (AD) has grown in importance with the expected rise in prevalence of AD in an aging population and with new potential treatment options. METHODS The Telephone Interview for Cognitive Status (TICS) and new telephone adaptation of the Montreal Cognitive Assessment (T-MoCA) were administered to participants independently classified through in-person clinical evaluation as cognitively normal (CN; n = 167), mild cognitive impairment (MCI; n = 25), or dementia (n = 23). Cerebrospinal fluid AD biomarkers were measured (n = 79). RESULTS TICS and T-MoCA were highly correlated (r = 0.787; P < 0.001): groups differed on both (CN DISCUSSION TICS and T-MoCA are effective for remotely detecting cognitive impairment associated with AD in older adults. Strong correlation between tests provides construct validity for the newer T-MoCA. HIGHLIGHTS Construct validity for the telephone adaptation of the Montreal Cognitive Assessment (T-MoCA) was newly established against the Telephone Interview for Cognitive Status (TICS). TICS and T-MoCA effectively detected cognitive impairment with remote administration. Both tests negatively correlated with a composite cerebrospinal fluid Alzheimer's disease (AD) biomarker (tau/amyloid beta 1-42).
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Affiliation(s)
- Sheridan D Chappelle
- Shiley-Marcos Alzheimer's Disease Research Center, Department of Neurosciences, University of California, San Diego, La Jolla, California, USA
| | - Christina Gigliotti
- Shiley-Marcos Alzheimer's Disease Research Center, Department of Neurosciences, University of California, San Diego, La Jolla, California, USA
| | - Gabriel C Léger
- Shiley-Marcos Alzheimer's Disease Research Center, Department of Neurosciences, University of California, San Diego, La Jolla, California, USA
| | - Guerry M Peavy
- Shiley-Marcos Alzheimer's Disease Research Center, Department of Neurosciences, University of California, San Diego, La Jolla, California, USA
| | - Diane M Jacobs
- Shiley-Marcos Alzheimer's Disease Research Center, Department of Neurosciences, University of California, San Diego, La Jolla, California, USA
| | - Sarah J Banks
- Shiley-Marcos Alzheimer's Disease Research Center, Department of Neurosciences, University of California, San Diego, La Jolla, California, USA
| | - Emily A Little
- Shiley-Marcos Alzheimer's Disease Research Center, Department of Neurosciences, University of California, San Diego, La Jolla, California, USA
| | - Douglas Galasko
- Shiley-Marcos Alzheimer's Disease Research Center, Department of Neurosciences, University of California, San Diego, La Jolla, California, USA
| | - David P Salmon
- Shiley-Marcos Alzheimer's Disease Research Center, Department of Neurosciences, University of California, San Diego, La Jolla, California, USA
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Bosch PJ, Kerr G, Cole R, Warwick CA, Wendt LH, Pradeep A, Bagnall E, Aldridge GM. Enhanced spine stability and survival lead to increases in dendritic spine density as an early response to local alpha-synuclein overexpression in mouse prefrontal cortex. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.09.28.559765. [PMID: 37808820 PMCID: PMC10557684 DOI: 10.1101/2023.09.28.559765] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/10/2023]
Abstract
Lewy Body Dementias (LBD), including Parkinson's disease dementia and Dementia with Lewy Bodies, are characterized by widespread accumulation of intracellular alpha-Synuclein protein deposits in regions beyond the brainstem, including in the cortex. Patients with LBDs develop cognitive changes, including abnormalities in executive function, attention, hallucinations, slowed processing, and cognitive fluctuations. The causes of these non-motor symptoms remain unclear; however, accumulation of alpha-Synuclein aggregates in the cortex and subsequent interference of synaptic and cellular function could contribute to psychiatric and cognitive symptoms. It is unknown how the cortex responds to local pathology in the absence of significant secondary effects of alpha-Synuclein pathology in the brainstem. To investigate this, we employed viral overexpression of human alpha-Synuclein protein targeting the mouse prefrontal cortex (PFC). We then used in vivo 2-photon microscopy to image awake head-fixed mice via an implanted chronic cranial window to assess the early consequences of alpha-Synuclein overexpression in the weeks following overexpression. We imaged apical tufts of Layer V pyramidal neurons in the PFC of Thy1-YFP transgenic mice at 1-week intervals from 1-2 weeks before and 9 weeks following viral overexpression, allowing analysis of dynamic changes in dendritic spines. We found an increase in the relative dendritic spine density following local overexpression of alpha-Synuclein, beginning at 5 weeks post-injection, and persisting for the remainder of the study. We found that alpha-Synuclein overexpression led to an increased percentage and longevity of newly-persistent spines, without significant changes in the total density of newly formed or eliminated spines. A follow up study utilizing confocal microscopy revealed that the increased spine density is found in cortical cells within the alpha-Synuclein injection site, but negative for alpha-Synuclein phosphorylation at Serine-129, highlighting the potential for effects of dose and local circuits on spine survival. These findings have important implications for the physiological role and early pathological stages of alpha-Synuclein in the cortex.
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14
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Carli G, Meles SK, Reesink FE, de Jong BM, Pilotto A, Padovani A, Galbiati A, Ferini-Strambi L, Leenders KL, Perani D. Comparison of univariate and multivariate analyses for brain [18F]FDG PET data in α-synucleinopathies. Neuroimage Clin 2023; 39:103475. [PMID: 37494757 PMCID: PMC10394024 DOI: 10.1016/j.nicl.2023.103475] [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: 01/06/2023] [Revised: 05/18/2023] [Accepted: 07/09/2023] [Indexed: 07/28/2023]
Abstract
BACKGROUND Brain imaging with [18F]FDG-PET can support the diagnostic work-up of patients with α-synucleinopathies. Validated data analysis approaches are necessary to evaluate disease-specific brain metabolism patterns in neurodegenerative disorders. This study compared the univariate Statistical Parametric Mapping (SPM) single-subject procedure and the multivariate Scaled Subprofile Model/Principal Component Analysis (SSM/PCA) in a cohort of patients with α-synucleinopathies. METHODS We included [18F]FDG-PET scans of 122 subjects within the α-synucleinopathy spectrum: Parkinson's Disease (PD) normal cognition on long-term follow-up (PD - low risk to dementia (LDR); n = 28), PD who developed dementia on clinical follow-up (PD - high risk of dementia (HDR); n = 16), Dementia with Lewy Bodies (DLB; n = 67), and Multiple System Atrophy (MSA; n = 11). We also included [18F]FDG-PET scans of isolated REM sleep behaviour disorder (iRBD; n = 51) subjects with a high risk of developing a manifest α-synucleinopathy. Each [18F]FDG-PET scan was compared with 112 healthy controls using SPM procedures. In the SSM/PCA approach, we computed the individual scores of previously identified patterns for PD, DLB, and MSA: PD-related patterns (PDRP), DLBRP, and MSARP. We used ROC curves to compare the diagnostic performances of SPM t-maps (visual rating) and SSM/PCA individual pattern scores in identifying each clinical condition across the spectrum. Specifically, we used the clinical diagnoses ("gold standard") as our reference in ROC curves to evaluate the accuracy of the two methods. Experts in movement disorders and dementia made all the diagnoses according to the current clinical criteria of each disease (PD, DLB and MSA). RESULTS The visual rating of SPM t-maps showed higher performance (AUC: 0.995, specificity: 0.989, sensitivity 1.000) than PDRP z-scores (AUC: 0.818, specificity: 0.734, sensitivity 1.000) in differentiating PD-LDR from other α-synucleinopathies (PD-HDR, DLB and MSA). This result was mainly driven by the ability of SPM t-maps to reveal the limited or absent brain hypometabolism characteristics of PD-LDR. Both SPM t-maps visual rating and SSM/PCA z-scores showed high performance in identifying DLB (DLBRP = AUC: 0.909, specificity: 0.873, sensitivity 0.866; SPM t-maps = AUC: 0.892, specificity: 0.872, sensitivity 0.910) and MSA (MSARP: AUC: 0.921, specificity: 0.811, sensitivity 1.000; SPM t-maps: AUC: 1.000, specificity: 1.000, sensitivity 1.000) from other α-synucleinopathies. PD-HDR and DLB were comparable for the brain hypo and hypermetabolism patterns, thus not allowing differentiation by SPM t-maps or SSM/PCA. Of note, we found a gradual increase of PDRP and DLBRP expression in the continuum from iRBD to PD-HDR and DLB, where the DLB patients had the highest scores. SSM/PCA could differentiate iRBD from DLB, reflecting specifically the differences in disease staging and severity (AUC: 0.938, specificity: 0.821, sensitivity 0.941). CONCLUSIONS SPM-single subject maps and SSM/PCA are both valid methods in supporting diagnosis within the α-synucleinopathy spectrum, with different strengths and pitfalls. The former reveals dysfunctional brain topographies at the individual level with high accuracy for all the specific subtype patterns, and particularly also the normal maps; the latter provides a reliable quantification, independent from the rater experience, particularly in tracking the disease severity and staging. Thus, our findings suggest that differences in data analysis approaches exist and should be considered in clinical settings. However, combining both methods might offer the best diagnostic performance.
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Affiliation(s)
- Giulia Carli
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Sanne K Meles
- Department of Neurology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Fransje E Reesink
- Department of Neurology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Bauke M de Jong
- Department of Neurology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Andrea Pilotto
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Alessandro Padovani
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Andrea Galbiati
- School of Psychology, Vita-Salute San Raffaele University, Milan, Italy; Department of Clinical Neuroscience, Sleep Disorders Center, San Raffaele Hospital, Milan, Italy
| | - Luigi Ferini-Strambi
- School of Psychology, Vita-Salute San Raffaele University, Milan, Italy; Department of Clinical Neuroscience, Sleep Disorders Center, San Raffaele Hospital, Milan, Italy
| | - Klaus L Leenders
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
| | - Daniela Perani
- School of Psychology, Vita-Salute San Raffaele University, Milan, Italy; In Vivo Human Molecular and Structural Neuroimaging Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan; Nuclear Medicine Unit, San Raffaele Hospital, Milan, Italy.
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15
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Gonzalez MC, Tovar‐Rios DA, Alves G, Dalen I, Williams‐Gray CH, Camacho M, Forsgren L, Bäckström D, Lawson RA, Macleod AD, Counsell CE, Paquet C, DeLena C, D'Antonio F, Pilotto A, Padovani A, Blanc F, Falup‐Pecurariu C, Lewis SJ, Rejdak K, Papuc E, Hort J, Nedelska Z, O'Brien J, Bonanni L, Marquié M, Boada M, Pytel V, Abdelnour C, Alcolea D, Beyer K, Tysnes O, Aarsland D, Maple‐Grødem J. Cognitive and Motor Decline in Dementia with Lewy Bodies and Parkinson's Disease Dementia. Mov Disord Clin Pract 2023; 10:980-986. [PMID: 37332651 PMCID: PMC10272890 DOI: 10.1002/mdc3.13752] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 03/09/2023] [Accepted: 03/29/2023] [Indexed: 06/20/2023] Open
Abstract
Background There is a need to better understand the rate of cognitive and motor decline of Dementia with Lewy bodies (DLB) and Parkinson's disease Dementia (PDD). Objectives To compare the rate of cognitive and motor decline in patients with DLB and PDD from the E-DLB Consortium and the Parkinson's Incidence Cohorts Collaboration (PICC) Cohorts. Methods The annual change in MMSE and MDS-UPDRS part III was estimated using linear mixed regression models in patients with at least one follow-up (DLB n = 837 and PDD n = 157). Results When adjusting for confounders, we found no difference in the annual change in MMSE between DLB and PDD (-1.8 [95% CI -2.3, -1.3] vs. -1.9 [95% CI -2.6, -1.2] [P = 0.74]). MDS-UPDRS part III showed nearly identical annual changes (DLB 4.8 [95% CI 2.1, 7.5]) (PDD 4.8 [95% CI 2.7, 6.9], [P = 0.98]). Conclusions DLB and PDD showed similar rates of cognitive and motor decline. This is relevant for future clinical trial designs.
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Affiliation(s)
- Maria Camila Gonzalez
- Department of Quality and Health Technology, Faculty of Health SciencesUniversity of StavangerStavangerNorway
- The Norwegian Centre for Movement DisordersStavanger University HospitalStavangerNorway
- Centre for Age‐Related MedicineStavanger University HospitalStavangerNorway
| | - Diego Alejandro Tovar‐Rios
- Centre for Age‐Related MedicineStavanger University HospitalStavangerNorway
- Grupos de investigación INFERIR and PRECEC, Section of BiostatisticsUniversidad del ValleSantiago de CaliColombia
| | - Guido Alves
- The Norwegian Centre for Movement DisordersStavanger University HospitalStavangerNorway
- Department of Chemistry, Bioscience and Environmental EngineeringUniversity of StavangerStavangerNorway
- Department of NeurologyStavanger University HospitalStavangerNorway
| | - Ingvild Dalen
- Department of NeurologyStavanger University HospitalStavangerNorway
| | | | - Marta Camacho
- Department of Clinical NeurosciencesUniversity of CambridgeCambridgeEngland
| | - Lars Forsgren
- Department of Clinical Science, NeurosciencesUmeå UniversityUmeåSweden
| | - David Bäckström
- Department of Clinical Science, NeurosciencesUmeå UniversityUmeåSweden
| | - Rachael A. Lawson
- Translational and Clinical Research InstituteNewcastle UniversityTyneUK
| | - Angus D. Macleod
- Institute of Applied Health SciencesUniversity of AberdeenAberdeenUK
| | - Carl E. Counsell
- Institute of Applied Health SciencesUniversity of Aberdeen, Polwarth BuildingAberdeenUK
| | - Claire Paquet
- Université de Paris, Cognitive Neurology Center, APHP, Lariboisière Fernand‐Widal HospitalParisFrance
| | - Carlo DeLena
- Department of Human NeurosciencesSapienza University of RomeRomeItaly
| | | | - Andrea Pilotto
- Neurology Unit, Department of Clinical and Experimental SciencesUniversity of BresciaBresciaItaly
| | - Alessandro Padovani
- Neurology Unit, Department of Clinical and Experimental SciencesUniversity of BresciaBresciaItaly
| | - Frédéric Blanc
- Memory Resource and Research Centre (CM2R), Geriatrics Day Hospital, Geriatrics DepartmentUniversity Hospital of StrasbourgStrasbourg CedexFrance
| | - Cristian Falup‐Pecurariu
- Department of Neurology, County Clinic Hospital, Faculty of MedicineTransilvania UniversityBrasovRomania
| | | | - Konrad Rejdak
- Department of NeurologyMedical University of LublinLublinPoland
| | - Ewa Papuc
- Department of NeurologyMedical University of LublinLublinPoland
| | - Jakub Hort
- Memory Clinic, Department of NeurologyCharles University, 2nd Faculty of Medicine and Motol University HospitalPragueCzech Republic
| | - Zuzana Nedelska
- Memory Clinic, Department of NeurologyCharles University, 2nd Faculty of Medicine and Motol University HospitalPragueCzech Republic
| | - John O'Brien
- Department of PsychiatryUniversity of Cambridge School of Clinical MedicineCambridgeUK
| | - Laura Bonanni
- Department of Medicine and Aging SciencesUniversity Gd'Annunzio of Chieti‐PescaraChietiItaly
| | - Marta Marquié
- Ace Alzheimer Center Barcelona—Universitat Internacional de CatalunyaBarcelonaSpain
| | - Mercè Boada
- Ace Alzheimer Center Barcelona—Universitat Internacional de CatalunyaBarcelonaSpain
| | - Vanesa Pytel
- Ace Alzheimer Center Barcelona—Universitat Internacional de CatalunyaBarcelonaSpain
| | - Carla Abdelnour
- Department of Neurology and Neurological SciencesStanford University School of MedicineStanfordCaliforniaUSA
| | - Daniel Alcolea
- Sant Pau Memory Unit, Department of Neurology, IIB Sant Pau—Hospital de Sant PauUniversitat Autònoma de BarcelonaBarcelonaSpain
| | - Katrin Beyer
- Department NeuroscienceResearch Institute Germans Trias i PujolBadalonaSpain
| | - Ole‐Bjørn Tysnes
- Department of NeurologyHaukeland University HospitalBergenNorway
| | - Dag Aarsland
- Centre for Age‐Related MedicineStavanger University HospitalStavangerNorway
- Department of Old Age PsychiatryInstitute of Psychiatry, Psychology, and Neuroscience, King's College LondonLondonUK
| | - Jodi Maple‐Grødem
- The Norwegian Centre for Movement DisordersStavanger University HospitalStavangerNorway
- Department of Chemistry, Bioscience and Environmental EngineeringUniversity of StavangerStavangerNorway
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Should patients with Parkinson’s disease only visit a neurologist’s office? - a narrative review of neuropsychiatric disorders among people with Parkinson’s disease. CURRENT PROBLEMS OF PSYCHIATRY 2022. [DOI: 10.2478/cpp-2022-0021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
Abstract
Abstract
Introduction: Parkinson’s disease is a neurodegenerative disease that is often accompanied by disorders such as depression, psychotic disorders, cognitive disorders, anxiety disorders, sleep disorders, impulse control disorders. The aim of the study was to review the literature and present the characteristics of neuropsychiatric disorders occurring in people suffering from Parkinson’s disease, with the specification of the above-mentioned disorders.
Material and method: The literature available on the PubMed platform from 1986 to 2022 was reviewed using the following keywords: Parkinson’s disease, depression, anxiety disorders, psychotic disorders, sleep disorders, cognitive disorders, impulse control disorders. Original studies, reviews, meta-analyzes and internet sources were analyzed.
Results: The above-mentioned neuropsychiatric disorders appear with different frequency among people suffering from Parkinson’s disease and occur at different times of its duration or even precede its onset for many years. The non-motor symptoms in the form of depressed mood, energy loss or changes in the rhythm of the day may result in a delay of appropriate therapy and thus in complications. Neuropathological changes in the course of Parkinson’s disease as well as dopaminergic drugs used in its therapy influence the development of neuropsychiatric disorders.
Conclusions: In order to avoid misdiagnosis, practitioners should use, e.g. scales intended for patients with Parkinson’s disease. To prevent the consequences of the aforementioned disease entities, methods of early diagnosis, determination of risk factors and standardization of the treatment process must be determined. Consistent care for patients with Parkinson’s disease is significant, not only in the neurological field, but also in the psychiatric one.
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Salmon DP, Smirnov DS, Coughlin DG, Hamilton JM, Landy KM, Filoteo JV, Hiniker A, Hansen LA, Galasko D. Perception of Fragmented Letters by Patients With Pathologically Confirmed Dementia With Lewy Bodies or Alzheimer Disease. Neurology 2022; 99:e2034-e2043. [PMID: 36028327 PMCID: PMC9651460 DOI: 10.1212/wnl.0000000000201068] [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: 12/16/2021] [Accepted: 06/21/2022] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND AND OBJECTIVE Patients with dementia with Lewy bodies perform worse than those with Alzheimer disease (AD) on tests of visual perception, but the clinical utility of these tests remains unknown because studies often had clinically diagnosed groups that may inadvertently cross-contaminate Lewy body disease (LBD) with pure AD pathology, used experimental tests not easily adaptable for clinical use, and had no way to examine relationships between the severity of LBD pathology and degree of cognitive impairment. Therefore, we sought to determine whether performance on a widely used clinical test of visuoperceptual ability effectively differentiates between patients with autopsy-confirmed LBD or AD and correlates with the severity of LBD pathology. METHODS Patients with mild to moderate dementia (n = 42) and cognitively healthy controls (n = 22) performed a Fragmented Letters Test in which they identified letters of the alphabet that were randomly visually degraded by 70% and additional visuospatial and episodic memory tests. At autopsy, dementia cases were confirmed to have LBD (n = 19), all with concomitant AD, or only AD (n = 23). Severity of α-synuclein pathology in the hippocampus and neocortex was rated on an ordinal scale. RESULTS Patients with LBD performed worse than those with AD (B = -2.80 ± 0.91, p = 0.009) and healthy controls (B = -3.34 ± 1.09, p = 0.01) on the Fragmented Letters Test after adjustment for age, sex, education, Mini-Mental State Examination score, and ability to name intact letters. Patients with AD did not differ from controls (B = -0.55 ± 1.08, p = 0.87). The test effectively distinguished between patients with LBD or AD with 73% sensitivity and 87% specificity, and the area under the curve in receiver operating characteristic analyses was 0.85 (95% CI 0.72-0.95), higher than for standard tests of visuospatial ability (Block Design; 0.72; CI 0.35-0.75) or memory (California Verbal Learning Test, trials 1-5; 0.55; CI 0.57-0.88). Fragmented Letters Test scores were negatively correlated with LBD pathology density ratings in hippocampus and neocortical regions (Spearman rs = -0.53 to -0.69). DISCUSSION Fragmented Letters Test performance can effectively differentiate patients with LBD pathology from those with only AD pathology at a mild to moderate stage of dementia, even when LBD occurs with significant concomitant AD pathology, and may also be useful for gauging the severity of cortical α-synuclein pathology in those with LBD.
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Affiliation(s)
- David P Salmon
- From the Department of Neurosciences (D.P.S., D.S.S., D.G.C., J.M.H., K.M.L., J.V.F., L.A.H., D.G.), Psychiatry (J.V.F.), and Pathology (A.H., L.A.H.), University of California, San Diego.
| | - Denis S Smirnov
- From the Department of Neurosciences (D.P.S., D.S.S., D.G.C., J.M.H., K.M.L., J.V.F., L.A.H., D.G.), Psychiatry (J.V.F.), and Pathology (A.H., L.A.H.), University of California, San Diego
| | - David G Coughlin
- From the Department of Neurosciences (D.P.S., D.S.S., D.G.C., J.M.H., K.M.L., J.V.F., L.A.H., D.G.), Psychiatry (J.V.F.), and Pathology (A.H., L.A.H.), University of California, San Diego
| | - Joanne M Hamilton
- From the Department of Neurosciences (D.P.S., D.S.S., D.G.C., J.M.H., K.M.L., J.V.F., L.A.H., D.G.), Psychiatry (J.V.F.), and Pathology (A.H., L.A.H.), University of California, San Diego
| | - Kelly M Landy
- From the Department of Neurosciences (D.P.S., D.S.S., D.G.C., J.M.H., K.M.L., J.V.F., L.A.H., D.G.), Psychiatry (J.V.F.), and Pathology (A.H., L.A.H.), University of California, San Diego
| | - J Vincent Filoteo
- From the Department of Neurosciences (D.P.S., D.S.S., D.G.C., J.M.H., K.M.L., J.V.F., L.A.H., D.G.), Psychiatry (J.V.F.), and Pathology (A.H., L.A.H.), University of California, San Diego
| | - Annie Hiniker
- From the Department of Neurosciences (D.P.S., D.S.S., D.G.C., J.M.H., K.M.L., J.V.F., L.A.H., D.G.), Psychiatry (J.V.F.), and Pathology (A.H., L.A.H.), University of California, San Diego
| | - Lawrence A Hansen
- From the Department of Neurosciences (D.P.S., D.S.S., D.G.C., J.M.H., K.M.L., J.V.F., L.A.H., D.G.), Psychiatry (J.V.F.), and Pathology (A.H., L.A.H.), University of California, San Diego
| | - Douglas Galasko
- From the Department of Neurosciences (D.P.S., D.S.S., D.G.C., J.M.H., K.M.L., J.V.F., L.A.H., D.G.), Psychiatry (J.V.F.), and Pathology (A.H., L.A.H.), University of California, San Diego
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Neuropsychological Impairments and Their Cognitive Architecture in Mild Cognitive Impairment (MCI) with Lewy Bodies and MCI-Alzheimer's Disease. J Int Neuropsychol Soc 2022; 28:963-973. [PMID: 34666864 DOI: 10.1017/s1355617721001181] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
OBJECTIVE The present study aimed to clarify the neuropsychological profile of the emergent diagnostic category of Mild Cognitive Impairment with Lewy bodies (MCI-LB) and determine whether domain-specific impairments such as in memory were related to deficits in domain-general cognitive processes (executive function or processing speed). METHOD Patients (n = 83) and healthy age- and sex-matched controls (n = 34) underwent clinical and imaging assessments. Probable MCI-LB (n = 44) and MCI-Alzheimer's disease (AD) (n = 39) were diagnosed following National Institute on Aging-Alzheimer's Association (NIA-AA) and dementia with Lewy bodies (DLB) consortium criteria. Neuropsychological measures included cognitive and psychomotor speed, executive function, working memory, and verbal and visuospatial recall. RESULTS MCI-LB scored significantly lower than MCI-AD on processing speed [Trail Making Test B: p = .03, g = .45; Digit Symbol Substitution Test (DSST): p = .04, g = .47; DSST Error Check: p < .001, g = .68] and executive function [Trail Making Test Ratio (A/B): p = .04, g = .52] tasks. MCI-AD performed worse than MCI-LB on memory tasks, specifically visuospatial (Modified Taylor Complex Figure: p = .01, g = .46) and verbal (Rey Auditory Verbal Learning Test: p = .04, g = .42) delayed recall measures. Stepwise discriminant analysis correctly classified the subtype in 65.1% of MCI patients (72.7% specificity, 56.4% sensitivity). Processing speed accounted for more group-associated variance in visuospatial and verbal memory in both MCI subtypes than executive function, while no significant relationships between measures were observed in controls (all ps > .05). CONCLUSIONS MCI-LB was characterized by executive dysfunction and slowed processing speed but did not show the visuospatial dysfunction expected, while MCI-AD displayed an amnestic profile. However, there was considerable neuropsychological profile overlap and processing speed mediated performance in both MCI subtypes.
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Smirnov DS, Salmon DP, Galasko D, Edland SD, Pizzo DP, Goodwill V, Hiniker A. TDP-43 Pathology Exacerbates Cognitive Decline in Primary Age-Related Tauopathy. Ann Neurol 2022; 92:425-438. [PMID: 35696592 PMCID: PMC9391297 DOI: 10.1002/ana.26438] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 06/06/2022] [Accepted: 06/09/2022] [Indexed: 11/10/2022]
Abstract
OBJECTIVE Primary age-related tauopathy (PART) refers to tau neurofibrillary tangles restricted largely to the medial temporal lobe in the absence of significant beta-amyloid plaques. PART has been associated with cognitive impairment, but contributions from concomitant limbic age-related TDP-43 encephalopathy neuropathologic change (LATE-NC) are underappreciated. METHODS We compare prevalence of LATE-NC and vascular copathologies in age- and Braak-matched patients with PART (n = 45, Braak stage I-IV, Thal phase 0-2) or early stage Alzheimer disease neuropathologic change (ADNC; n = 51, Braak I-IV, Thal 3-5), and examine their influence on clinical and cognitive decline. RESULTS Concomitant LATE-NC and vascular pathology were equally common, and cognition was equally impaired, in PART (Mini-Mental State Examination [MMSE] = 24.8 ± 6.9) and ADNC (MMSE = 24.2 ± 6.0). Patients with LATE-NC were more impaired than those without LATE-NC on the MMSE (by 5.8 points, 95% confidence interval [CI] = 3.0-8.6), Mattis Dementia Rating Scale (DRS; 17.5 points, 95% CI = 7.1-27.9), Clinical Dementia Rating, sum of boxes scale (CDR-sob; 5.2 points, 95% CI = 2.1-8.2), memory composite (0.8 standard deviations [SD], 95% CI = 0.1-1.6), and language composite (1.1 SD, 95% CI = 0.2-2.0), and more likely to receive a dementia diagnosis (odds ratio = 4.8, 95% CI = 1.5-18.0). Those with vascular pathology performed worse than those without on the DRS (by 10.2 points, 95% CI = 0.1-20.3) and executive composite (1.3 SD, 95% CI = 0.3-2.3). Cognition declined similarly in PART and ADNC over the 5 years preceding death; however, LATE-NC was associated with more rapid decline on the MMSE (β = 1.9, 95% CI = 0.9-3.0), DRS (β = 7.8, 95% CI = 3.4-12.7), CDR-sob (β = 1.9, 95% CI = 0.4-3.7), language composite (β = 0.5 SD, 95% CI = 0.1-0.8), and vascular pathology with more rapid decline on the DRS (β = 5.2, 95% CI = 0.6-10.2). INTERPRETATION LATE-NC, and to a lesser extent vascular copathology, exacerbate cognitive impairment and decline in PART and early stage ADNC. ANN NEUROL 2022;92:425-438.
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Affiliation(s)
- Denis S. Smirnov
- Department of Neurosciences, University of California, San Diego
| | - David P. Salmon
- Department of Neurosciences, University of California, San Diego
| | - Douglas Galasko
- Department of Neurosciences, University of California, San Diego
- Veterans Affairs San Diego Healthcare System
| | - Steven D. Edland
- Department of Neurosciences, University of California, San Diego
- School of Public Health, University of California, San Diego
| | - Donald P. Pizzo
- Department of Pathology, University of California, San Diego
| | | | - Annie Hiniker
- Department of Pathology, University of California, San Diego
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Su Z, Liu S, Chen G, Gan J, Bao X, Zhu H, Wang X, Wu H, Ji Y. Pisa syndrome in dementia with Lewy bodies: A Chinese multicenter study. Parkinsonism Relat Disord 2022; 103:50-55. [PMID: 36041278 DOI: 10.1016/j.parkreldis.2022.08.021] [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: 04/02/2022] [Revised: 08/17/2022] [Accepted: 08/19/2022] [Indexed: 10/15/2022]
Abstract
BACKGROUND Pisa syndrome (PS) is rarely reported in Dementia with Lewy bodies (DLB). The aim of this article is to investigate the prevalence rate of PS and the correlation with clinical features evaluated in patients with DLB. METHODS A total of 209 DLB patients were consecutively recruited and underwent standardized clinical evaluation in our multicenter study. The associations between PS and clinical factors were evaluated. RESULTS The prevalence rate of PS in patients with DLB was 15.3%, which was higher in the moderate and severe stages than mild cognitive impairment and mild stages (81.2% vs. 18.8%). Patients with PS had a longer duration of disease (P = 0.020) and parkinsonism (P = 0.003), higher scores of NPI (P = 0.028), ADL (P = 0.002) and UPDRS part III (P < 0.001), lower scores of clock drawing test (P = 0.009), visuospatial/executive abilities (P = 0.018), attention (P = 0.020), language and praxis (P = 0.020), registration (P = 0.012), greater H&Y stage (P < 0.001), and higher proportion of cholinesterase inhibitors used (P = 0.044) than those without PS. Longer disease duration (OR = 1.166, P = 0.023), presence of parkinsonism (OR = 7.971, P = 0.007), moderate and severe dementia (OR = 3.215, P = 0.021) were associated with the presence of PS. Patients had a longer duration of PS (P = 0.014) and lower mean age of onset (P = 0.040) in the group with severe lateral trunk flexion. CONCLUSION The development of PS may be associated with longer disease duration, the presence of parkinsonism and severe stages of dementia in DLB. Cholinesterase inhibitors may have a correlation with PS. The severity of lateral flexion is related to the duration of PS and mean age of onset.
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Affiliation(s)
- Zhou Su
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China; Department of Neurology, Tianjin Huanhu Hospital, Tianjin Key Laboratory of Cerebrovascular and of Neurodegenerative Diseases, Tianjin Dementia Institute, Tianjin, China; Department of Neurology, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan, China
| | - Shuai Liu
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin Key Laboratory of Cerebrovascular and of Neurodegenerative Diseases, Tianjin Dementia Institute, Tianjin, China
| | - Gang Chen
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China
| | - Jinghuan Gan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Xinran Bao
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China
| | - Hongcan Zhu
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Xiaodan Wang
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin Key Laboratory of Cerebrovascular and of Neurodegenerative Diseases, Tianjin Dementia Institute, Tianjin, China
| | - Hao Wu
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin Key Laboratory of Cerebrovascular and of Neurodegenerative Diseases, Tianjin Dementia Institute, Tianjin, China
| | - Yong Ji
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China; Department of Neurology, Tianjin Huanhu Hospital, Tianjin Key Laboratory of Cerebrovascular and of Neurodegenerative Diseases, Tianjin Dementia Institute, Tianjin, China.
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Lu J, Ge J, Chen K, Sun Y, Liu F, Yu H, Xu Q, Li L, Ju Z, Lin H, Guan Y, Guo Q, Wang J, Zuo C, Wu P. Consistent Abnormalities in Metabolic Patterns of Lewy Body Dementias. Mov Disord 2022; 37:1861-1871. [PMID: 35857319 DOI: 10.1002/mds.29138] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 06/06/2022] [Accepted: 06/07/2022] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Whether dementia with Lewy bodies (DLB) and Parkinson's disease (PD) dementia (PDD) represent the same disease, distinct entities, or conditions within the same spectrum remains controversial. OBJECTIVE The objective of this study was to provide new insight into this debate by separately identifying disease-specific metabolic patterns and comparing them with each other and with previously established PD-related pattern (PDRP). METHODS Patients with DLB (n = 67), patients with PDD (n = 50), and healthy control subjects (HCs; n = 15) with brain 18 F-fluorodeoxyglucose positron emission tomography were enrolled as cohorts A and B for pattern identification and validation, respectively. Patients with PD (n = 30) were included for discrimination. Twenty-one participants had two scans. The principal component analysis was applied for pattern identification (DLB-related pattern [DLBRP], PDD-related pattern [PDDRP]). Similarities and differences among three patterns were assessed by pattern topography, pattern expression, clinical correlations cross-sectionally, and pattern expression changes longitudinally. RESULTS DLBRP and PDDRP shared highly similar topographies, with relative hypometabolism mainly in the middle temporal gyrus, middle occipital gyrus, lingual gyrus, precuneus, cuneus, angular gyrus, superior and inferior parietal gyrus, middle and inferior frontal gyrus, cingulate, and caudate, and relative hypermetabolism in the cerebellum, putamen, thalamus, precentral/postcentral gyrus, and paracentral lobule, which were more extensive than the PDRP. Patients with DLB and PDD could not be distinguished successfully by any pattern, but patients with PD were easily recognized, especially by DLBRP and PDDRP. The pattern expression of DLBRP and PDDRP showed similar efficacy in cross-sectional disease severity assessment and longitudinal progression monitoring. CONCLUSIONS The consistent abnormalities in metabolic patterns of DLB and PDD might underline the potential continuum across the clinical spectrum from PD to DLB. © 2022 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Jiaying Lu
- PET Center, Huashan Hospital, Fudan University, Shanghai, China
- National Center for Neurological Disorders & National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Jingjie Ge
- PET Center, Huashan Hospital, Fudan University, Shanghai, China
- National Center for Neurological Disorders & National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Keliang Chen
- National Center for Neurological Disorders & National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Yimin Sun
- National Center for Neurological Disorders & National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Fengtao Liu
- National Center for Neurological Disorders & National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Huan Yu
- National Center for Neurological Disorders & National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Qian Xu
- PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Ling Li
- Department of Nuclear Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Zizhao Ju
- PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Huamei Lin
- PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Yihui Guan
- PET Center, Huashan Hospital, Fudan University, Shanghai, China
- National Center for Neurological Disorders & National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Qihao Guo
- Department of Gerontology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Jian Wang
- National Center for Neurological Disorders & National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Chuantao Zuo
- PET Center, Huashan Hospital, Fudan University, Shanghai, China
- National Center for Neurological Disorders & National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
- Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai, China
| | - Ping Wu
- PET Center, Huashan Hospital, Fudan University, Shanghai, China
- National Center for Neurological Disorders & National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
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Šubert M, Šimek M, Novotný M, Tykalová T, Bezdíček O, Růžička E, Šonka K, Dušek P, Rusz J. Linguistic Abnormalities in Isolated Rapid Eye Movement Sleep Behavior Disorder. Mov Disord 2022; 37:1872-1882. [PMID: 35799404 DOI: 10.1002/mds.29140] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 05/18/2022] [Accepted: 06/13/2022] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND Patients with synucleinopathies frequently display language abnormalities. However, whether patients with isolated rapid eye movement sleep behavior disorder (iRBD) have prodromal language impairment remains unknown. OBJECTIVE We examined whether the linguistic abnormalities in iRBD can serve as potential biomarkers for conversion to synucleinopathy, including the possible effect of mild cognitive impairment (MCI), speaking task, and automation of analysis procedure. METHODS We enrolled 139 Czech native participants, including 40 iRBD without MCI and 14 iRBD with MCI, compared with 40 PD without MCI, 15 PD with MCI, and 30 healthy control subjects. Spontaneous discourse and story-tale narrative were transcribed and linguistically annotated. A quantitative analysis was performed computing three linguistic features. Human annotations were compared with fully automated annotations. RESULTS Compared with control subjects, patients with iRBD showed poorer content density, reflecting the reduction of content words and modifiers. Both PD and iRBD subgroups with MCI manifested less occurrence of unique words and a higher number of n-grams repetitions, indicating poorer lexical richness. The spontaneous discourse task demonstrated language impairment in iRBD without MCI with an area under the curve of 0.72, while the story-tale narrative task better reflected the presence of MCI, discriminating both PD and iRBD subgroups with MCI from control subjects with an area under the curve of up to 0.81. A strong correlation between manually and automatically computed results was achieved. CONCLUSIONS Linguistic features might provide a reliable automated method for detecting cognitive decline caused by prodromal neurodegeneration in subjects with iRBD, providing critical outcomes for future therapeutic trials. © 2022 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Martin Šubert
- Department of Circuit Theory, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic
| | - Michal Šimek
- Department of Circuit Theory, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic
| | - Michal Novotný
- Department of Circuit Theory, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic
| | - Tereza Tykalová
- Department of Circuit Theory, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic
| | - Ondřej Bezdíček
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Evžen Růžička
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Karel Šonka
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Petr Dušek
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Jan Rusz
- Department of Circuit Theory, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic.,Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic.,Department of Neurology & ARTORG Center, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
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Desai U, Chandler J, Kirson N, Georgieva M, Cheung HC, Westermeyer B, Lane H, Biglan K. Epidemiology and economic burden of Lewy body dementia in the United States. Curr Med Res Opin 2022; 38:1177-1188. [PMID: 35442134 DOI: 10.1080/03007995.2022.2059978] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
OBJECTIVE To describe the trends in epidemiology, healthcare resource use (HCRU), and costs associated with Lewy body dementia (LBD), dementia with Lewy bodies (DLB), and Parkinson's disease dementia (PDD) in the United States. METHODS This retrospective study used administrative claims data for Medicare fee-for-service (2010-2018) and commercially-insured beneficiaries (2010-2017). The annual prevalence and incidence were calculated among the Medicare beneficiaries by dividing the number of prevalent or incident LBD, DLB, and PDD patients by the total eligible population of that calendar year. Baseline patient characteristics, HCRU, and costs over time were described for Medicare and commercially insured patients with continuous health plan enrollment for ≥12 months before and ≥24 months after first cognitive impairment (CI) diagnosis. RESULTS From 2010 to 2016, the incidence and prevalence rates of LBD among Medicare beneficiaries ranged from 0.21%-0.18% and 0.90%-0.83%, respectively. Of 9019 Medicare patients with LBD who met other inclusion criteria, 4796 (53.2%) had DLB and 4223 (46.8%) had PDD. The mean age was 78 years and the mean Charlson Comorbidity Index score was 1.6. On average, patients with LBD incurred $18,309 in medical costs during the 1-year pre-diagnosis and $29,174 and $22,814 at years 1 and 5 after diagnosis, respectively. The main cost drivers were inpatient and outpatient visits. Similar trends were observed for DLB and PDD as well as for commercially-insured patients. CONCLUSIONS Our findings highlight the substantial epidemiological and economic burden across the LBD spectrum and underscore a high unmet need for effective treatments to improve patient outcomes.
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Affiliation(s)
- Urvi Desai
- Analysis Group, Inc, Boston, Massachusetts, USA
| | | | - Noam Kirson
- Analysis Group, Inc, Boston, Massachusetts, USA
| | | | | | | | - Henry Lane
- Analysis Group, Inc, Boston, Massachusetts, USA
| | - Kevin Biglan
- Eli Lilly and Company, Indianapolis, Indiana, USA
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24
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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: 5.3] [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.
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Affiliation(s)
- Kurt A Jellinger
- Institute of Clinical Neurobiology, Vienna, Austria, Alberichgasse 5/13, A-1150, Vienna, Austria.
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Phillips JR, Matar E, Ehgoetz Martens KA, Moustafa AA, Halliday GM, Lewis SJ. An adaptive measure of visuospatial impairment in Dementia with Lewy Bodies. Mov Disord Clin Pract 2022; 9:619-627. [PMID: 35844276 PMCID: PMC9274351 DOI: 10.1002/mdc3.13488] [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: 09/13/2021] [Revised: 03/07/2022] [Accepted: 03/26/2022] [Indexed: 11/13/2022] Open
Abstract
Background Dementia with Lewy bodies (DLB) is a common cause of dementia with poor prognosis and high hospitalization rates. DLB is frequently misdiagnosed, with clinical features that overlap significantly with other diseases including Parkinson's disease (PD). Clinical instruments that discriminate and track the progression of cognitive impairment in DLB are needed. Objectives The current study was designed to assess the utility of a mental rotation (MR) task for assessing visuospatial impairments in early DLB. Methods Accuracy of 22 DLB patients, 22 PD patients and 22 age‐matched healthy controls in the MR task were compared at comparing shapes with 0°, 45° and 90° rotations. Results Healthy controls and PD patients performed at similar levels while the DLB group were significantly impaired. Further, impairment in the visuospatial and executive function measures correlated with MR poor outcomes. Conclusion These findings support the MR task as an objective measure of visuospatial impairment with the ability to adjust difficulty to suit impairments in a DLB population. This would be a useful tool within clinical trials.
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Affiliation(s)
- Joseph R. Phillips
- Faculty of Medicine and Health Brain and Mind Centre and Central Clinical School, University of Sydney, Camperdown Sydney Australia
- School of Psychology & Marcs Institute for Brain and Behaviour Western Sydney University Sydney New South Wales Australia
| | - Elie Matar
- Faculty of Medicine and Health Brain and Mind Centre and Central Clinical School, University of Sydney, Camperdown Sydney Australia
- Dementia and Movement Disorders Laboratory, Brain and Mind Centre University of Sydney Sydney New South Wales Australia
| | - Kaylena A. Ehgoetz Martens
- Faculty of Medicine and Health Brain and Mind Centre and Central Clinical School, University of Sydney, Camperdown Sydney Australia
- Department of Kinesiology, Faculty of Health University of Waterloo Waterloo Ontario Canada
| | - Ahmed A. Moustafa
- Faculty of Medicine and Health Brain and Mind Centre and Central Clinical School, University of Sydney, Camperdown Sydney Australia
- School of Psychology & Marcs Institute for Brain and Behaviour Western Sydney University Sydney New South Wales Australia
| | - Glenda M. Halliday
- Faculty of Medicine and Health Brain and Mind Centre and Central Clinical School, University of Sydney, Camperdown Sydney Australia
- Dementia and Movement Disorders Laboratory, Brain and Mind Centre University of Sydney Sydney New South Wales Australia
| | - Simon J.G. Lewis
- Faculty of Medicine and Health Brain and Mind Centre and Central Clinical School, University of Sydney, Camperdown Sydney Australia
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Rodriguez-Porcel F, Wyman-Chick KA, Abdelnour Ruiz C, Toledo JB, Ferreira D, Urwyler P, Weil RS, Kane J, Pilotto A, Rongve A, Boeve B, Taylor JP, McKeith I, Aarsland D, Lewis SJG. Clinical outcome measures in dementia with Lewy bodies trials: critique and recommendations. Transl Neurodegener 2022; 11:24. [PMID: 35491418 PMCID: PMC9059356 DOI: 10.1186/s40035-022-00299-w] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 03/31/2022] [Indexed: 12/28/2022] Open
Abstract
The selection of appropriate outcome measures is fundamental to the design of any successful clinical trial. Although dementia with Lewy bodies (DLB) is one of the most common neurodegenerative conditions, assessment of therapeutic benefit in clinical trials often relies on tools developed for other conditions, such as Alzheimer's or Parkinson's disease. These may not be sufficiently valid or sensitive to treatment changes in DLB, decreasing their utility. In this review, we discuss the limitations and strengths of selected available tools used to measure DLB-associated outcomes in clinical trials and highlight the potential roles for more specific objective measures. We emphasize that the existing outcome measures require validation in the DLB population and that DLB-specific outcomes need to be developed. Finally, we highlight how the selection of outcome measures may vary between symptomatic and disease-modifying therapy trials.
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Affiliation(s)
- Federico Rodriguez-Porcel
- Department of Neurology, Medical University of South Carolina, 208b Rutledge Av., Charleston, SC, 29403, USA.
| | - Kathryn A Wyman-Chick
- Department of Neurology, Center for Memory and Aging, HealthPartners, Saint Paul, MN, USA
| | | | - Jon B Toledo
- Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, USA
| | - Daniel Ferreira
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences, and Society, Center for Alzheimer's Research, Karolinska Institutet, Stockholm, Sweden
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | - Prabitha Urwyler
- ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland
| | - Rimona S Weil
- Dementia Research Centre, University College London, London, UK
| | - Joseph Kane
- Centre for Public Health, Queen's University, Belfast, UK
| | - Andrea Pilotto
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Arvid Rongve
- Department of Research and Innovation, Helse Fonna, Haugesund Hospital, Haugesund, Norway
- Institute of Clinical Medicine (K1), The University of Bergen, Bergen, Norway
| | - Bradley Boeve
- Department of Neurology, Center for Sleep Medicine, Mayo Clinic, Rochester, MN, USA
| | - John-Paul Taylor
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Ian McKeith
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Dag Aarsland
- Department of Old Age Psychiatry Institute of Psychiatry Psychology and Neuroscience, King's College London, London, UK
| | - Simon J G Lewis
- ForeFront Parkinson's Disease Research Clinic, Brain and Mind Centre, School of Medical Sciences, University of Sydney, 100 Mallett Street, Camperdown, NSW, 2050, Australia
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Smirnov DS, Salmon DP, Galasko D, Goodwill VS, Hansen LA, Zhao Y, Edland SD, Léger GC, Peavy GM, Jacobs DM, Rissman R, Pizzo DP, Hiniker A. Association of Neurofibrillary Tangle Distribution With Age at Onset-Related Clinical Heterogeneity in Alzheimer Disease: An Autopsy Study. Neurology 2022; 98:e506-e517. [PMID: 34810247 PMCID: PMC8826459 DOI: 10.1212/wnl.0000000000013107] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Accepted: 11/04/2021] [Indexed: 02/03/2023] Open
Abstract
BACKGROUND AND OBJECTIVE Patients with earlier age at onset of sporadic Alzheimer disease (AD) are more likely than those with later onset to present with atypical clinical and cognitive features. We sought to determine whether this age-related clinical and cognitive heterogeneity is mediated by different topographic distributions of tau-aggregate neurofibrillary tangles (NFTs) or by variable amounts of concomitant non-AD neuropathology. METHODS The relative distribution of NFT density in hippocampus and midfrontal neocortex was calculated, and α-synuclein, TAR DNA binding protein 43 (TDP-43), and microvascular copathologies were staged, in patients with severe AD and age at onset of 51-60 (n = 40), 61-70 (n = 41), and >70 (n = 40) years. Regression, mediation, and mixed effects models examined relationships of pathologic findings with clinical features and longitudinal cognitive decline. RESULTS Patients with later age at onset of AD were less likely to present with nonmemory complaints (odds ratio [OR] 0.46 per decade, 95% confidence interval [CI] 0.22-0.88), psychiatric symptoms (β = -0.66, 95% CI -1.15 to -0.17), and functional impairment (β = -1.25, 95% CI -2.34 to -0.16). TDP-43 (OR 2.00, 95% CI 1.23-3.35) and microvascular copathology (OR 2.02, 95% CI 1.24-3.40) were more common in later onset AD, and α-synuclein copathology was not related to age at onset. NFT density in midfrontal cortex (β = -0.51, 95% CI -0.72 to -0.31) and midfrontal/hippocampal NFT ratio (β = -0.18, 95% CI -0.26 to -0.10) were lower in those with later age at onset. Executive function (β = 0.48, 95% CI 0.09-0.90) and visuospatial cognitive deficits (β = 0.97, 95% CI 0.46-1.46) were less impaired in patients with later age at onset. Mediation analyses showed that the effect of age at onset on severity of executive function deficits was mediated by midfrontal/hippocampal NFT ratio (β = 0.21, 95% CI 0.08-0.38) and not by concomitant non-AD pathologies. Midfrontal/hippocampal NFT ratio also mediated an association between earlier age at onset and faster decline on tests of global cognition, executive function, and visuospatial abilities. DISCUSSION Worse executive dysfunction and faster cognitive decline in people with sporadic AD with earlier rather than later age at onset is mediated by greater relative midfrontal neocortical to hippocampal NFT burden and not by concomitant non-AD neuropathology.
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Affiliation(s)
- Denis S Smirnov
- From the Departments of Neurosciences (D.S.S., D.P.S., D.G., G.C.L., G.M.P., D.M.J., R.R., A.H.), Pathology (V.S.G., L.A.H., D.P.P., A.H.), and Family Medicine and Public Health (Y.Z., S.D.E.), University of California, San Diego; and VA San Diego Healthcare System (D.G., R.R., A.H.), CA
| | - David P Salmon
- From the Departments of Neurosciences (D.S.S., D.P.S., D.G., G.C.L., G.M.P., D.M.J., R.R., A.H.), Pathology (V.S.G., L.A.H., D.P.P., A.H.), and Family Medicine and Public Health (Y.Z., S.D.E.), University of California, San Diego; and VA San Diego Healthcare System (D.G., R.R., A.H.), CA
| | - Douglas Galasko
- From the Departments of Neurosciences (D.S.S., D.P.S., D.G., G.C.L., G.M.P., D.M.J., R.R., A.H.), Pathology (V.S.G., L.A.H., D.P.P., A.H.), and Family Medicine and Public Health (Y.Z., S.D.E.), University of California, San Diego; and VA San Diego Healthcare System (D.G., R.R., A.H.), CA
| | - Vanessa S Goodwill
- From the Departments of Neurosciences (D.S.S., D.P.S., D.G., G.C.L., G.M.P., D.M.J., R.R., A.H.), Pathology (V.S.G., L.A.H., D.P.P., A.H.), and Family Medicine and Public Health (Y.Z., S.D.E.), University of California, San Diego; and VA San Diego Healthcare System (D.G., R.R., A.H.), CA
| | - Lawrence A Hansen
- From the Departments of Neurosciences (D.S.S., D.P.S., D.G., G.C.L., G.M.P., D.M.J., R.R., A.H.), Pathology (V.S.G., L.A.H., D.P.P., A.H.), and Family Medicine and Public Health (Y.Z., S.D.E.), University of California, San Diego; and VA San Diego Healthcare System (D.G., R.R., A.H.), CA
| | - Yu Zhao
- From the Departments of Neurosciences (D.S.S., D.P.S., D.G., G.C.L., G.M.P., D.M.J., R.R., A.H.), Pathology (V.S.G., L.A.H., D.P.P., A.H.), and Family Medicine and Public Health (Y.Z., S.D.E.), University of California, San Diego; and VA San Diego Healthcare System (D.G., R.R., A.H.), CA
| | - Steven D Edland
- From the Departments of Neurosciences (D.S.S., D.P.S., D.G., G.C.L., G.M.P., D.M.J., R.R., A.H.), Pathology (V.S.G., L.A.H., D.P.P., A.H.), and Family Medicine and Public Health (Y.Z., S.D.E.), University of California, San Diego; and VA San Diego Healthcare System (D.G., R.R., A.H.), CA
| | - Gabriel C Léger
- From the Departments of Neurosciences (D.S.S., D.P.S., D.G., G.C.L., G.M.P., D.M.J., R.R., A.H.), Pathology (V.S.G., L.A.H., D.P.P., A.H.), and Family Medicine and Public Health (Y.Z., S.D.E.), University of California, San Diego; and VA San Diego Healthcare System (D.G., R.R., A.H.), CA
| | - Guerry M Peavy
- From the Departments of Neurosciences (D.S.S., D.P.S., D.G., G.C.L., G.M.P., D.M.J., R.R., A.H.), Pathology (V.S.G., L.A.H., D.P.P., A.H.), and Family Medicine and Public Health (Y.Z., S.D.E.), University of California, San Diego; and VA San Diego Healthcare System (D.G., R.R., A.H.), CA
| | - Diane M Jacobs
- From the Departments of Neurosciences (D.S.S., D.P.S., D.G., G.C.L., G.M.P., D.M.J., R.R., A.H.), Pathology (V.S.G., L.A.H., D.P.P., A.H.), and Family Medicine and Public Health (Y.Z., S.D.E.), University of California, San Diego; and VA San Diego Healthcare System (D.G., R.R., A.H.), CA
| | - Robert Rissman
- From the Departments of Neurosciences (D.S.S., D.P.S., D.G., G.C.L., G.M.P., D.M.J., R.R., A.H.), Pathology (V.S.G., L.A.H., D.P.P., A.H.), and Family Medicine and Public Health (Y.Z., S.D.E.), University of California, San Diego; and VA San Diego Healthcare System (D.G., R.R., A.H.), CA
| | - Donald P Pizzo
- From the Departments of Neurosciences (D.S.S., D.P.S., D.G., G.C.L., G.M.P., D.M.J., R.R., A.H.), Pathology (V.S.G., L.A.H., D.P.P., A.H.), and Family Medicine and Public Health (Y.Z., S.D.E.), University of California, San Diego; and VA San Diego Healthcare System (D.G., R.R., A.H.), CA
| | - Annie Hiniker
- From the Departments of Neurosciences (D.S.S., D.P.S., D.G., G.C.L., G.M.P., D.M.J., R.R., A.H.), Pathology (V.S.G., L.A.H., D.P.P., A.H.), and Family Medicine and Public Health (Y.Z., S.D.E.), University of California, San Diego; and VA San Diego Healthcare System (D.G., R.R., A.H.), CA.
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Elder GJ, Colloby SJ, Firbank MJ, Taylor JP. Quantifying test-retest reliability of repeated objective attentional measures in Lewy body dementia. J Neurol 2022; 269:3605-3613. [PMID: 35084558 PMCID: PMC9217900 DOI: 10.1007/s00415-022-10977-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Revised: 01/12/2022] [Accepted: 01/18/2022] [Indexed: 11/29/2022]
Abstract
Objective cognitive impairment is a feature of Lewy body dementia (LBD), and computerised attentional tasks are commonly used as outcome measures in interventional trials. However, the reliability of these measures, in the absence of interventions, are unknown. This study examined the reliability of these attentional measures at short-term and longer-term follow-up stages. LBD patients (n = 36) completed computerised attentional tasks [simple and choice reaction time, and digit vigilance (SRT, CRT, DV)] at short-term (Day 0–Day 5) and longer-term (4 and 12 weeks) follow-up. Intra-class correlations (ICCs) were calculated to assess test–retest reliability. At short-term, the reciprocal SRT, CRT and DV mean reaction time to correct answers, the reciprocal DV coefficient of variation, and reciprocal power of attention (PoA) all showed excellent levels of reliability (all ICCs > 0.90). The reciprocal PoA showed the highest level of reliability (ICC = 0.978). At longer-term follow-up, only the reciprocal PoA had excellent levels of reliability (ICC = 0.927). Reciprocal SRT, CRT and DV reaction time to correct answers, and the CRT coefficient of variation values, showed good levels of test–retest reliability (ICCs ≥ 0.85). Contrary to expectations, most attentional measures demonstrated high levels of test–retest reliability at both short-term and longer-term follow-up time points. The reciprocal PoA composite measure demonstrated excellent levels of test–retest reliability, both in the short-term and long-term. This indicates that objective attentional tasks are suitable outcome measures in LBD studies and that the composite PoA measure may offer the highest levels of reliability.
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Affiliation(s)
- Greg J Elder
- Northumbria Sleep Research, Department of Psychology, Faculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, NE1 8ST, UK. .,Translational and Clinical Research Institute, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne, NE4 5PL, UK.
| | - Sean J Colloby
- Translational and Clinical Research Institute, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne, NE4 5PL, UK
| | - Michael J Firbank
- Translational and Clinical Research Institute, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne, NE4 5PL, UK
| | - John-Paul Taylor
- Translational and Clinical Research Institute, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne, NE4 5PL, UK
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Gao A, McCoy HM, Zaman V, Shields DC, Banik NL, Haque A. Calpain activation and progression of inflammatory cycles in Parkinson's disease. FRONT BIOSCI-LANDMRK 2022; 27:20. [PMID: 35090325 PMCID: PMC9723550 DOI: 10.31083/j.fbl2701020] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Revised: 12/01/2021] [Accepted: 12/14/2021] [Indexed: 07/27/2023]
Abstract
Parkinson's disease (PD) is a progressive, neurodegenerative condition of the central nervous system (CNS) affecting 6.3 million people worldwide with no curative treatments. Current therapies aim to mitigate PD's effects and offer symptomatic relief for patients. Multiple pathways are involved in the pathogenesis of PD, leading to neuroinflammation and the destruction of dopaminergic neurons in the CNS. This review focuses on PD pathology and the role of calpain, a neutral protease, as a regulator of various immune cells such as T-cells, microglia and astrocytes which lead to persistent neuroinflammatory responses and neuronal loss in both the brain and spinal cord (SC). Calpain plays a significant role in the cleavage and aggregation of toxic α-synuclein (α-syn), a presynaptic neural protein, and other organelles, contributing to mitochondrial dysfunction and oxidative stress. α-Syn aggregation results in the formation of Lewy bodies (LB) that further contribute to neuronal damage through lipid bilayer penetration, calcium ion (Ca2+) influx, oxidative stress and damage to the blood brain barrier (BBB). Dysfunctional mitochondria destabilize cytosolic Ca2+ concentrations, raising intracellular Ca2+; this leads to excessive calpain activation and persistent inflammatory responses. α-Syn aggregation also results in the disruption of dopamine synthesis through phosphorylation of tyrosine hydroxylase (TH), a key enzyme involved in the conversion of tyrosine to levodopa (L-DOPA), the amino acid precursor to dopamine. Decreased dopamine levels result in altered dopamine receptor (DR) signaling, ultimately activating pro-inflammatory T-cells to further contribute to the inflammatory response. All of these processes, together, result in neuroinflammation, degeneration and ultimately neuronal death seen in PD. 1-Methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP-a prodrug to the neurotoxin 1-methyl-4-phenylpyridinium (MPP+)), rotenone (an environmental neurotoxin), and 6-hydroxydopamine (6-OHDA - a neurotoxic synthetic organic compound) induce PD-like conditions when injected into rodents. All three agents work through similar mechanisms and lead to degeneration of dopaminergic neurons in the substantia nigra (SN) and more recently discovered in motor neurons of the spinal cord (SC). These neurotoxins also increase calpain activity, furthering the neuroinflammatory response. Hence, calpain inhibitors have been posited as potential therapeutics for PD to prevent calpain-related inflammation and neurodegenerative responses in not only the SN but the SC as well.
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Affiliation(s)
- Andrew Gao
- Department of Microbiology and Immunology, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Hannah M. McCoy
- Department of Microbiology and Immunology, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Vandana Zaman
- Department of Neurosurgery, Medical University of South Carolina, Charleston, SC 29425, USA
- Ralph H. Johnson Veterans Administration Medical Center, Charleston, SC 29401, USA
| | - Donald C. Shields
- Department of Neurosurgery, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Naren L. Banik
- Department of Microbiology and Immunology, Medical University of South Carolina, Charleston, SC 29425, USA
- Department of Neurosurgery, Medical University of South Carolina, Charleston, SC 29425, USA
- Ralph H. Johnson Veterans Administration Medical Center, Charleston, SC 29401, USA
| | - Azizul Haque
- Department of Microbiology and Immunology, Medical University of South Carolina, Charleston, SC 29425, USA
- Ralph H. Johnson Veterans Administration Medical Center, Charleston, SC 29401, USA
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Patel B, Irwin DJ, Kaufer D, Boeve BF, Taylor A, Armstrong MJ. Outcome Measures for Dementia With Lewy Body Clinical Trials: A Review. Alzheimer Dis Assoc Disord 2022; 36:64-72. [PMID: 34393189 PMCID: PMC8847491 DOI: 10.1097/wad.0000000000000473] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Accepted: 07/07/2021] [Indexed: 01/03/2023]
Abstract
BACKGROUND Dementia with Lewy bodies (DLB) is one of the most common degenerative dementias. Clinical trials for individuals with DLB are increasing. We aimed to identify commonly used outcome measures for trials in DLB. METHODS A pragmatic literature search of PubMed and clinicaltrials.gov identified interventional studies including populations with DLB. Studies were included if they enrolled participants with DLB and met the National Institutes of Health criteria for a clinical trial. Data were collected using standardized forms. Outcome measures were categorized according to core and supportive features of DLB. RESULTS After de-duplication, 58 trials were identified. The most common cognitive outcome measures were the Mini Mental State Examination (n=24) and Cognitive Drug Research computerized Assessment System (n=5). The Clinician's Assessment of Fluctuations was the most commonly used measure for fluctuations (n=4). Over half of studies used the Neuropsychiatric Inventory to assess behavioral symptoms (n=31). The Unified Parkinson's Disease Rating Scale was frequently used for motor assessment (n=23). CONCLUSIONS AND RELEVANCE Clinical trial outcomes used in DLB are rarely validated in this population and some lack face validity. There is a need to validate existing scales in DLB and develop DLB-specific outcome measures.
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Affiliation(s)
- Bhavana Patel
- Department of Neurology, University of Florida College of Medicine, McKnight Brain Institute
| | | | - Daniel Kaufer
- Departments of Neurology and Psychiatry, University of North Carolina
| | - Bradley F. Boeve
- Department of Neurology and Center for Sleep Medicine, Mayo Clinic Rochester
| | - Angela Taylor
- Lewy Body Dementia Association
- Comprehensive Center for Brain Health, Department of Neurology, University of Miami Miller School of Medicine
| | - Melissa J. Armstrong
- Department of Neurology, University of Florida College of Medicine, McKnight Brain Institute
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Chiu SY, Bowers D, Armstrong MJ. Lewy Body Dementias: Controversies and Drug Development. Neurotherapeutics 2022; 19:55-67. [PMID: 34859379 PMCID: PMC9130410 DOI: 10.1007/s13311-021-01161-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/06/2021] [Indexed: 01/03/2023] Open
Abstract
Lewy body dementia (LBD) is one of the most common neurodegenerative dementias. Clinical trials for symptomatic and disease-modifying therapies in LBD remain a national research priority, but there are many challenges in both past and active drug developments in LBD. This review highlights the controversies in picking the appropriate populations, interventions, target selections, and outcome measures, which are all critical components of clinical trial implementation in LBD. The heterogeneity of LBD neuropathology and clinical presentations, limited understanding of core features such as cognitive fluctuations, and lack of validated LBD-specific outcome measures and biomarkers represent some of the major challenges in LBD trials.
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Affiliation(s)
- Shannon Y Chiu
- Department of Neurology, University of Florida, PO Box 100268, Gainesville, FL, 32611, USA.
| | - Dawn Bowers
- Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, 32603, USA
| | - Melissa J Armstrong
- Department of Neurology, University of Florida, PO Box 100268, Gainesville, FL, 32611, USA
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Alpha-Synuclein and Cognitive Decline in Parkinson Disease. Life (Basel) 2021; 11:life11111239. [PMID: 34833115 PMCID: PMC8625417 DOI: 10.3390/life11111239] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Revised: 11/08/2021] [Accepted: 11/12/2021] [Indexed: 12/15/2022] Open
Abstract
Parkinson disease (PD) is the second most common neurodegenerative disorder in elderly people. It is characterized by the aggregation of misfolded alpha-synuclein throughout the nervous system. Aside from cardinal motor symptoms, cognitive impairment is one of the most disabling non-motor symptoms that occurs during the progression of the disease. The accumulation and spreading of alpha-synuclein pathology from the brainstem to limbic and neocortical structures is correlated with emerging cognitive decline in PD. This review summarizes the genetic and pathophysiologic relationship between alpha-synuclein and cognitive impairment in PD, together with potential areas of biomarker advancement.
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Palermo G, Belli E, Tommasini L, Morganti R, Frosini D, Nicoletti V, Tognoni G, Siciliano G, Bonuccelli U, Baldacci F, Ceravolo R. Dissecting the Interplay Between Time of Dementia and Cognitive Profiles in Lewy Body Dementias. J Alzheimers Dis 2021; 84:757-766. [PMID: 34602466 DOI: 10.3233/jad-210006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Dementia with Lewy bodies (DLB) and Parkinson's disease dementia (PDD) are differentiated by the time of onset of cognitive and motor symptoms ('1-year rule'). We explored the neuropsychological continuum of DLB and PDD subjects with different timing of dementia onset. OBJECTIVE Our aim was to compare the neuropsychological profile of DLB and PDD patients with different timing of dementia onset. METHODS Neuropsychological findings at the diagnosis of dementia of 66 PDD and 42 DLB patients were retrospectively compared. Patients with PDD were divided into three tertile subgroups according to the time interval between the onset of parkinsonism and dementia (N = 24, 2-4 years; N = 17, 5-7 years; N = 25 ≥8 years, respectively). RESULTS DLB patients performed worse on the Stroop and semantic fluency tests than PDD, even in comparison to PD with early dementia onset. No significant differences among PDD subgroups were reported. CONCLUSION Executive and semantic language tests could differentiate DLB and PD patients with earlier development of dementia relative to parkinsonism.
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Affiliation(s)
- Giovanni Palermo
- Department of Clinical and Experimental Medicine, Unit of Neurology, University of Pisa, Pisa, Italy
| | - Elisabetta Belli
- Department of Clinical and Experimental Medicine, Unit of Neurology, University of Pisa, Pisa, Italy
| | - Luca Tommasini
- Department of Clinical and Experimental Medicine, Unit of Neurology, University of Pisa, Pisa, Italy
| | | | - Daniela Frosini
- Department of Clinical and Experimental Medicine, Unit of Neurology, University of Pisa, Pisa, Italy
| | - Valentina Nicoletti
- Department of Clinical and Experimental Medicine, Unit of Neurology, University of Pisa, Pisa, Italy
| | - Gloria Tognoni
- Department of Clinical and Experimental Medicine, Unit of Neurology, University of Pisa, Pisa, Italy
| | - Gabriele Siciliano
- Department of Clinical and Experimental Medicine, Unit of Neurology, University of Pisa, Pisa, Italy
| | - Ubaldo Bonuccelli
- Department of Clinical and Experimental Medicine, Unit of Neurology, University of Pisa, Pisa, Italy
| | - Filippo Baldacci
- Department of Clinical and Experimental Medicine, Unit of Neurology, University of Pisa, Pisa, Italy
| | - Roberto Ceravolo
- Department of Clinical and Experimental Medicine, Unit of Neurology, University of Pisa, Pisa, Italy
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Koros C, Stefanis L, Scarmeas N. Parkinsonism and dementia. J Neurol Sci 2021; 433:120015. [PMID: 34642023 DOI: 10.1016/j.jns.2021.120015] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Revised: 09/01/2021] [Accepted: 09/29/2021] [Indexed: 12/13/2022]
Abstract
The aim of the present review is to summarize literature data on dementia in parkinsonian disorders. Cognitive decline and the gradual development of dementia are considered to be key features in the majority of parkinsonian conditions. The burden of dementia in everyday life of parkinsonian patients and their caregivers is vast and can be even more challenging to handle than the motor component of the disease. Common pathogenetic mechanisms involve the aggregation and spreading of abnormal proteins like alpha-synuclein, tau or amyloid in cortical and subcortical regions with subsequent dysregulation of multiple neurotransmitter systems. The degree of cognitive deterioration in these disorders is variable and ranges from mild cognitive impairment to severe cognitive dysfunction. There is also variation in the number and type of affected cognitive domains which can involve either a single domain like executive or visuospatial function or multiple ones. Novel genetic, biological fluid or imaging biomarkers appear promising in facilitating the diagnosis and staging of dementia in parkinsonian conditions. A significant part of current research in Parkinson's disease and other parkinsonian syndromes is targeted towards the cognitive aspects of these disorders. Stabilization or amelioration of cognitive outcomes represents a primary endpoint in many ongoing clinical trials for novel disease modifying treatments in this field. This article is part of the Special Issue "Parkinsonism across the spectrum of movement disorders and beyond" edited by Joseph Jankovic, Daniel D. Truong and Matteo Bologna.
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Affiliation(s)
- Christos Koros
- 1st Department of Neurology, Aeginition University, Hospital, National and Kapodistrian University of Athens, Medical School, Athens, Greece
| | - Leonidas Stefanis
- 1st Department of Neurology, Aeginition University, Hospital, National and Kapodistrian University of Athens, Medical School, Athens, Greece; Center of Clinical Research, Experimental Surgery and Translational Research, Biomedical Research Foundation of the Academy of Athens, Athens, Greece
| | - Nikolaos Scarmeas
- 1st Department of Neurology, Aeginition University, Hospital, National and Kapodistrian University of Athens, Medical School, Athens, Greece; The Gertrude H. Sergievsky Center, Department of Neurology, Taub Institute for Research in Alzheimer's, Disease and the Aging Brain, Columbia University, New York, USA.
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Matar E, White SR, Taylor JP, Thomas A, McKeith IG, Kane JPM, Surendranathan A, Halliday GM, Lewis SJG, O'Brien JT. Progression of Clinical Features in Lewy Body Dementia Can Be Detected Over 6 Months. Neurology 2021; 97:e1031-e1040. [PMID: 34404743 PMCID: PMC8448556 DOI: 10.1212/wnl.0000000000012450] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Accepted: 06/15/2021] [Indexed: 12/25/2022] Open
Abstract
OBJECTIVE This study aimed to quantify the trajectory and magnitude of change of the key clinical features and corresponding symptom domains of dementia with Lewy bodies (DLB) and Parkinson disease dementia (PDD), including global cognition, parkinsonism, recurrent visual hallucinations, cognitive fluctuations, and sleep disturbance. METHODS One hundred sixteen patients with Lewy body dementia (DLB = 72, PDD = 44) underwent assessment at baseline and 3 and 6 months as part of a prospective multicenter randomized controlled trial. Linear mixed models were constructed for core outcome measures using the Mini-Mental State Examination (MMSE), motor section of the Unified Parkinson's Disease Rating Scale (UPDRS-III), Dementia Cognitive Fluctuations Scale (DCFS), and Neuropsychiatric Inventory (NPI). RESULTS Within the time frame of our study (6 months), we were able to identify a significant cognitive decline of 1.3 points on the MMSE (p = 0.002) and significant worsening of motor parkinsonism with an increase in UPDRS-III score of 3.2 points (p = 0.018). Fluctuation severity also increased using the DCFS with a 6-month change in score of 1.3 points (p = 0.001). Uniquely, a signal for increased severity of sleep symptoms of 1.2 points (NPI-sleep) was also detectable (p = 0.04). Significant changes in neuropsychiatric symptoms were not detected. There was no difference in rates of change of scores between DLB and PDD. DISCUSSION Clinically significant rates of change in core clinical features can be detected and quantified in Lewy body dementia over a relatively short period (6 months) using common clinical instruments and thus may be useful as clinical endpoints for therapeutic trials of disease-modifying and symptomatic agents.
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Affiliation(s)
- Elie Matar
- From the Department of Psychiatry (E.M., S.R.W., A.S., J.T.O.) and MRC Biostatistics Unit (S.R.W.), University of Cambridge, UK; Forefront Parkinson's Disease Research Clinic (E.M., G.M.H., S.J.G.L.) and Brain and Mind Centre (E.M., G.M.H., S.J.G.L.), Faculty of Medicine and Health, University of Sydney, Australia; Newcastle Translational and Clinical Research Institute (J.-P.T., A.T., I.G.M.), Campus for Ageing and Vitality, Newcastle University, Newcastle Upon Tyne; and Centre for Public Health (J.P.M.K.), Queen's University Belfast, UK.
| | - Simon R White
- From the Department of Psychiatry (E.M., S.R.W., A.S., J.T.O.) and MRC Biostatistics Unit (S.R.W.), University of Cambridge, UK; Forefront Parkinson's Disease Research Clinic (E.M., G.M.H., S.J.G.L.) and Brain and Mind Centre (E.M., G.M.H., S.J.G.L.), Faculty of Medicine and Health, University of Sydney, Australia; Newcastle Translational and Clinical Research Institute (J.-P.T., A.T., I.G.M.), Campus for Ageing and Vitality, Newcastle University, Newcastle Upon Tyne; and Centre for Public Health (J.P.M.K.), Queen's University Belfast, UK
| | - John-Paul Taylor
- From the Department of Psychiatry (E.M., S.R.W., A.S., J.T.O.) and MRC Biostatistics Unit (S.R.W.), University of Cambridge, UK; Forefront Parkinson's Disease Research Clinic (E.M., G.M.H., S.J.G.L.) and Brain and Mind Centre (E.M., G.M.H., S.J.G.L.), Faculty of Medicine and Health, University of Sydney, Australia; Newcastle Translational and Clinical Research Institute (J.-P.T., A.T., I.G.M.), Campus for Ageing and Vitality, Newcastle University, Newcastle Upon Tyne; and Centre for Public Health (J.P.M.K.), Queen's University Belfast, UK
| | - Alan Thomas
- From the Department of Psychiatry (E.M., S.R.W., A.S., J.T.O.) and MRC Biostatistics Unit (S.R.W.), University of Cambridge, UK; Forefront Parkinson's Disease Research Clinic (E.M., G.M.H., S.J.G.L.) and Brain and Mind Centre (E.M., G.M.H., S.J.G.L.), Faculty of Medicine and Health, University of Sydney, Australia; Newcastle Translational and Clinical Research Institute (J.-P.T., A.T., I.G.M.), Campus for Ageing and Vitality, Newcastle University, Newcastle Upon Tyne; and Centre for Public Health (J.P.M.K.), Queen's University Belfast, UK
| | - Ian G McKeith
- From the Department of Psychiatry (E.M., S.R.W., A.S., J.T.O.) and MRC Biostatistics Unit (S.R.W.), University of Cambridge, UK; Forefront Parkinson's Disease Research Clinic (E.M., G.M.H., S.J.G.L.) and Brain and Mind Centre (E.M., G.M.H., S.J.G.L.), Faculty of Medicine and Health, University of Sydney, Australia; Newcastle Translational and Clinical Research Institute (J.-P.T., A.T., I.G.M.), Campus for Ageing and Vitality, Newcastle University, Newcastle Upon Tyne; and Centre for Public Health (J.P.M.K.), Queen's University Belfast, UK
| | - Joseph P M Kane
- From the Department of Psychiatry (E.M., S.R.W., A.S., J.T.O.) and MRC Biostatistics Unit (S.R.W.), University of Cambridge, UK; Forefront Parkinson's Disease Research Clinic (E.M., G.M.H., S.J.G.L.) and Brain and Mind Centre (E.M., G.M.H., S.J.G.L.), Faculty of Medicine and Health, University of Sydney, Australia; Newcastle Translational and Clinical Research Institute (J.-P.T., A.T., I.G.M.), Campus for Ageing and Vitality, Newcastle University, Newcastle Upon Tyne; and Centre for Public Health (J.P.M.K.), Queen's University Belfast, UK
| | - Ajenthan Surendranathan
- From the Department of Psychiatry (E.M., S.R.W., A.S., J.T.O.) and MRC Biostatistics Unit (S.R.W.), University of Cambridge, UK; Forefront Parkinson's Disease Research Clinic (E.M., G.M.H., S.J.G.L.) and Brain and Mind Centre (E.M., G.M.H., S.J.G.L.), Faculty of Medicine and Health, University of Sydney, Australia; Newcastle Translational and Clinical Research Institute (J.-P.T., A.T., I.G.M.), Campus for Ageing and Vitality, Newcastle University, Newcastle Upon Tyne; and Centre for Public Health (J.P.M.K.), Queen's University Belfast, UK
| | - Glenda M Halliday
- From the Department of Psychiatry (E.M., S.R.W., A.S., J.T.O.) and MRC Biostatistics Unit (S.R.W.), University of Cambridge, UK; Forefront Parkinson's Disease Research Clinic (E.M., G.M.H., S.J.G.L.) and Brain and Mind Centre (E.M., G.M.H., S.J.G.L.), Faculty of Medicine and Health, University of Sydney, Australia; Newcastle Translational and Clinical Research Institute (J.-P.T., A.T., I.G.M.), Campus for Ageing and Vitality, Newcastle University, Newcastle Upon Tyne; and Centre for Public Health (J.P.M.K.), Queen's University Belfast, UK
| | - Simon J G Lewis
- From the Department of Psychiatry (E.M., S.R.W., A.S., J.T.O.) and MRC Biostatistics Unit (S.R.W.), University of Cambridge, UK; Forefront Parkinson's Disease Research Clinic (E.M., G.M.H., S.J.G.L.) and Brain and Mind Centre (E.M., G.M.H., S.J.G.L.), Faculty of Medicine and Health, University of Sydney, Australia; Newcastle Translational and Clinical Research Institute (J.-P.T., A.T., I.G.M.), Campus for Ageing and Vitality, Newcastle University, Newcastle Upon Tyne; and Centre for Public Health (J.P.M.K.), Queen's University Belfast, UK
| | - John T O'Brien
- From the Department of Psychiatry (E.M., S.R.W., A.S., J.T.O.) and MRC Biostatistics Unit (S.R.W.), University of Cambridge, UK; Forefront Parkinson's Disease Research Clinic (E.M., G.M.H., S.J.G.L.) and Brain and Mind Centre (E.M., G.M.H., S.J.G.L.), Faculty of Medicine and Health, University of Sydney, Australia; Newcastle Translational and Clinical Research Institute (J.-P.T., A.T., I.G.M.), Campus for Ageing and Vitality, Newcastle University, Newcastle Upon Tyne; and Centre for Public Health (J.P.M.K.), Queen's University Belfast, UK
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Hamilton CA, Matthews FE, Allan LM, Barker S, Ciafone J, Donaghy PC, Durcan R, Firbank MJ, Lawley S, O'Brien JT, Roberts G, Taylor JP, Thomas AJ. Utility of the pareidolia test in mild cognitive impairment with Lewy bodies and Alzheimer's disease. Int J Geriatr Psychiatry 2021; 36:1407-1414. [PMID: 33772864 DOI: 10.1002/gps.5546] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2020] [Revised: 03/09/2021] [Accepted: 03/21/2021] [Indexed: 11/11/2022]
Abstract
OBJECTIVES Previous research has identified that dementia with Lewy bodies (DLB) has abnormal pareidolic responses which are associated with severity of visual hallucinations (VH), and the pareidolia test accurately classifies DLB with VH. We aimed to assess whether these findings would also be evident at the earlier stage of mild cognitive impairment (MCI) with Lewy bodies (MCI-LB) in comparison to MCI due to AD (MCI-AD) and cognitively healthy comparators. METHODS One-hundred and thirty-seven subjects were assessed prospectively in a longitudinal study with a mean follow-up of 1.2 years (max = 3.7): 63 MCI-LB (22% with VH) and 40 MCI-AD according to current research diagnostic criteria, and 34 healthy comparators. The pareidolia test was administered annually as a repeated measure. RESULTS Probable MCI-LB had an estimated pareidolia rate 1.2-6.7 times higher than MCI-AD. Pareidolia rates were not associated with concurrent VH, but had a weak association with total score on the North East Visual Hallucinations Inventory. The pareidolia test was not an accurate classifier of either MCI-LB (Area under curve (AUC) = 0.61), or VH (AUC = 0.56). There was poor sensitivity when differentiating MCI-LB from controls (41%) or MCI-AD (27%), though specificity was better (91% and 89%, respectively). CONCLUSIONS Whilst pareidolic responses are specifically more frequent in MCI-LB than MCI-AD, sensitivity of the pareidolia test is poorer than in DLB, with fewer patients manifesting VH at the earlier MCI stage. However, the high specificity and ease of use may make it useful in specialist clinics where imaging biomarkers are not available.
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Affiliation(s)
- Calum A Hamilton
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Fiona E Matthews
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Louise M Allan
- College of Medicine and Health, Exeter University, Exeter, UK
| | - Sally Barker
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Joanna Ciafone
- 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
| | - Rory Durcan
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Michael J Firbank
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Sarah Lawley
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - John T O'Brien
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Gemma Roberts
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK.,Nuclear Medicine Department, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - John-Paul Taylor
- 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
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Aarsland D, Batzu L, Halliday GM, Geurtsen GJ, Ballard C, Ray Chaudhuri K, Weintraub D. Parkinson disease-associated cognitive impairment. Nat Rev Dis Primers 2021; 7:47. [PMID: 34210995 DOI: 10.1038/s41572-021-00280-3] [Citation(s) in RCA: 514] [Impact Index Per Article: 128.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/27/2021] [Indexed: 02/08/2023]
Abstract
Parkinson disease (PD) is the second most common neurodegenerative disorder, affecting >1% of the population ≥65 years of age and with a prevalence set to double by 2030. In addition to the defining motor symptoms of PD, multiple non-motor symptoms occur; among them, cognitive impairment is common and can potentially occur at any disease stage. Cognitive decline is usually slow and insidious, but rapid in some cases. Recently, the focus has been on the early cognitive changes, where executive and visuospatial impairments are typical and can be accompanied by memory impairment, increasing the risk for early progression to dementia. Other risk factors for early progression to dementia include visual hallucinations, older age and biomarker changes such as cortical atrophy, as well as Alzheimer-type changes on functional imaging and in cerebrospinal fluid, and slowing and frequency variation on EEG. However, the mechanisms underlying cognitive decline in PD remain largely unclear. Cortical involvement of Lewy body and Alzheimer-type pathologies are key features, but multiple mechanisms are likely involved. Cholinesterase inhibition is the only high-level evidence-based treatment available, but other pharmacological and non-pharmacological strategies are being tested. Challenges include the identification of disease-modifying therapies as well as finding biomarkers to better predict cognitive decline and identify patients at high risk for early and rapid cognitive impairment.
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Affiliation(s)
- Dag Aarsland
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK. .,Centre for Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway.
| | - Lucia Batzu
- Parkinson's Foundation Centre of Excellence, King's College Hospital and Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Glenda M Halliday
- Brain and Mind Centre and Faculty of Medicine and Health School of Medical Sciences, University of Sydney, Sydney, New South Wales, Australia
| | - Gert J Geurtsen
- Amsterdam UMC, University of Amsterdam, Department of Medical Psychology, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | | | - K Ray Chaudhuri
- Parkinson's Foundation Centre of Excellence, King's College Hospital and Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Daniel Weintraub
- Departments of Psychiatry and Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.,Parkinson's Disease Research, Education and Clinical Center (PADRECC), Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA
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Bangen KJ, Smirnov DS, Delano-Wood L, Wierenga CE, Bondi MW, Salmon DP, Galasko D. Arterial stiffening acts synergistically with APOE genotype and AD biomarker status to influence memory in older adults without dementia. Alzheimers Res Ther 2021; 13:121. [PMID: 34210365 PMCID: PMC8246656 DOI: 10.1186/s13195-021-00851-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Accepted: 05/31/2021] [Indexed: 12/02/2022]
Abstract
BACKGROUND Arterial stiffening has emerged as an important risk factor for Alzheimer's disease (AD) and related dementias. Carotid-femoral pulse wave velocity has been proposed as a non-invasive and reproducible method to assess arterial stiffness. However, the association of pulse wave velocity with performance across multiple cognitive domains as well as interactions with in vivo AD biomarkers and apolipoprotein E (APOE) genotype has received limited study. METHOD We studied 193 older adult volunteers (167 with normal cognition and 26 with mild cognitive impairment) who underwent comprehensive medical and neuropsychological evaluation at the University of California, San Diego Alzheimer's Disease Research Center. Cerebrospinal fluid (CSF) biomarkers were available on 123 participants (63%). Linear models examined whether pulse wave velocity significantly interacted with APOE ε4 status and CSF AD biomarker positivity (based on the ratio of total tau over beta-amyloid [tau/Aβ42]) on memory, language, executive functioning, attention, and visuospatial abilities. RESULTS After adjusting for demographic characteristics and vascular risk burden, across the entire sample, pulse wave velocity was associated with poorer executive functioning but not the performance in the other cognitive domains. When the modifying effects of AD genetic risk and CSF AD biomarkers were considered, pulse wave velocity interacted with APOE genotype and CSF tau/Aβ ratio such that a stronger association between elevated pulse wave velocity and poorer memory performance was found among those positive for CSF and genetic AD markers. There were no significant interaction effects for non-memory cognitive domains. CONCLUSION The findings suggest that pulse wave velocity, a non-invasive method to assess arterial wall properties, may be a useful marker of risk for cognitive decline, particularly among individuals who are APOE ε4 carriers or CSF AD biomarke0r-positive.
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Affiliation(s)
- Katherine J Bangen
- Research Service, VA San Diego Healthcare System, Building 13, 3350 La Jolla Village Drive (151A), San Diego, CA, 92161, USA.
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA.
| | - Denis S Smirnov
- Medical Scientist Training Program, University of California, San Diego, La Jolla, CA, USA
- Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA
| | - Lisa Delano-Wood
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
- Psychology Service, VA San Diego Healthcare System, San Diego, CA, USA
| | - Christina E Wierenga
- Research Service, VA San Diego Healthcare System, Building 13, 3350 La Jolla Village Drive (151A), San Diego, CA, 92161, USA
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - Mark W Bondi
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
- Psychology Service, VA San Diego Healthcare System, San Diego, CA, USA
| | - David P Salmon
- Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA
| | - Douglas Galasko
- Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA
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Milán-Tomás Á, Fernández-Matarrubia M, Rodríguez-Oroz MC. Lewy Body Dementias: A Coin with Two Sides? Behav Sci (Basel) 2021; 11:94. [PMID: 34206456 PMCID: PMC8301188 DOI: 10.3390/bs11070094] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Revised: 06/12/2021] [Accepted: 06/15/2021] [Indexed: 02/07/2023] Open
Abstract
Lewy body dementias (LBDs) consist of dementia with Lewy bodies (DLB) and Parkinson's disease dementia (PDD), which are clinically similar syndromes that share neuropathological findings with widespread cortical Lewy body deposition, often with a variable degree of concomitant Alzheimer pathology. The objective of this article is to provide an overview of the neuropathological and clinical features, current diagnostic criteria, biomarkers, and management of LBD. Literature research was performed using the PubMed database, and the most pertinent articles were read and are discussed in this paper. The diagnostic criteria for DLB have recently been updated, with the addition of indicative and supportive biomarker information. The time interval of dementia onset relative to parkinsonism remains the major distinction between DLB and PDD, underpinning controversy about whether they are the same illness in a different spectrum of the disease or two separate neurodegenerative disorders. The treatment for LBD is only symptomatic, but the expected progression and prognosis differ between the two entities. Diagnosis in prodromal stages should be of the utmost importance, because implementing early treatment might change the course of the illness if disease-modifying therapies are developed in the future. Thus, the identification of novel biomarkers constitutes an area of active research, with a special focus on α-synuclein markers.
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Affiliation(s)
- Ángela Milán-Tomás
- Department of Neurology, Clínica Universidad de Navarra, 28027 Madrid, Spain;
| | - Marta Fernández-Matarrubia
- Department of Neurology, Clínica Universidad de Navarra, 31008 Pamplona, Spain;
- IdiSNA, Navarra Institute for Health Research, 31008 Pamplona, Spain
| | - María Cruz Rodríguez-Oroz
- Department of Neurology, Clínica Universidad de Navarra, 28027 Madrid, Spain;
- Department of Neurology, Clínica Universidad de Navarra, 31008 Pamplona, Spain;
- IdiSNA, Navarra Institute for Health Research, 31008 Pamplona, Spain
- CIMA, Center of Applied Medical Research, Universidad de Navarra, Neurosciences Program, 31008 Pamplona, Spain
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Jellinger KA. Significance of cerebral amyloid angiopathy and other co-morbidities in Lewy body diseases. J Neural Transm (Vienna) 2021; 128:687-699. [PMID: 33928445 DOI: 10.1007/s00702-021-02345-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Accepted: 04/22/2021] [Indexed: 01/12/2023]
Abstract
Lewy body dementia (LBD) and Parkinson's disease-dementia (PDD) are two major neurocognitive disorders with Lewy bodies (LB) of unknown etiology. There is considerable clinical and pathological overlap between these two conditions that are clinically distinguished based on the duration of Parkinsonism prior to development of dementia. Their morphology is characterized by a variable combination of LB and Alzheimer's disease (AD) pathologies. Cerebral amyloid angiopathy (CAA), very common in aged persons and particularly in AD, is increasingly recognized for its association with both pathologies and dementia. To investigate neuropathological differences between LB diseases with and without dementia, 110 PDD and 60 LBD cases were compared with 60 Parkinson's disease (PD) cases without dementia (PDND). The major demographic and neuropathological data were assessed retrospectively. PDD patients were significantly older than PDND ones (83.9 vs 77.8 years; p < 0.05); the age of LB patients was in between both groups (mean 80.2 years), while the duration of disease was LBD < PDD < PDND (mean 6.7 vs 12.5 and 14.3 years). LBD patients had higher neuritic Braak stages (mean 5.1 vs 4.5 and 4.0, respectively), LB scores (mean 5.3 vs 4.2 and 4.0, respectively), and Thal amyloid phases (mean 4.1 vs 3.0 and 2.3, respectively) than the two other groups. CAA was more common in LBD than in the PDD and PDND groups (93 vs 50 and 21.7%, respectively). Its severity was significantly greater in LBD than in PDD and PDND (p < 0.01), involving mainly the occipital lobes. Moreover, striatal Aβ deposition highly differentiated LBD brains from PDD. Braak neurofibrillary tangle (NFT) stages, CAA, and less Thal Aβ phases were positively correlated with LB pathology (p < 0.05), which was significantly higher in LBD than in PDD < PDND. Survival analysis showed worse prognosis in LBD than in PDD (and PDND), which was linked to both increased Braak tau stages and more severe CAA. These and other recent studies imply the association of CAA-and both tau and LB pathologies-with cognitive decline and more rapid disease progression that distinguishes LBD from PDD (and PDND).
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Affiliation(s)
- Kurt A Jellinger
- Institute of Clinical Neurobiology, Alberichgasse 5/13, 1150, Vienna, Austria.
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Pope ED, Cordes L, Shi J, Mari Z, Decourt B, Sabbagh MN. Dementia with Lewy bodies: emerging drug targets and therapeutics. Expert Opin Investig Drugs 2021; 30:603-609. [PMID: 33899637 DOI: 10.1080/13543784.2021.1916913] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
Introduction: Dementia with Lewy bodies (DLB) is characterized by the toxic accumulation of α-synuclein protein inside neural cells; this results in neurodegeneration which is clinically accompanied by behavioral and psychological changes. DLB shares features with Parkinson's disease (PD) and Parkinson's disease dementia (PDD), but also overlaps neurochemically and pathologically with Alzheimer's disease. Symptomatic treatments for LBD differ in their effectiveness while disease-modifying and curative approaches are much needed.Areas covered: We explore emerging therapeutics for DLB through the lens of repurposing approved drugs and survey their potential for disease modifying actions in DLB. Given the complexity of DLB with multiple pathologies, potential therapeutic targets that could affect Lewy body pathology, or metabolism or neurotransmitters or immunomodulation were surveyed. We queried PubMed and ClinicalTrials.gov searches 2017-2020.Expert opinion: DLB is not simply aredux ofAD or PD; hence, treatments should not be exclusively duplicative ofAD or PD directed treatments. This opens amyriad of possibilities for therapeutic approaches that are disease specific or repurposed.
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Affiliation(s)
- Evans D Pope
- Lou Ruvo Center for Brain Health, Cleveland Clinic Nevada, Las Vegas, NV, USA
| | - Laura Cordes
- Lou Ruvo Center for Brain Health, Cleveland Clinic Nevada, Las Vegas, NV, USA
| | - Jiong Shi
- Lou Ruvo Center for Brain Health, Cleveland Clinic Nevada, Las Vegas, NV, USA
| | - Zoltan Mari
- Lou Ruvo Center for Brain Health, Cleveland Clinic Nevada, Las Vegas, NV, USA
| | - Boris Decourt
- Lou Ruvo Center for Brain Health, Cleveland Clinic Nevada, Las Vegas, NV, USA
| | - Marwan Noel Sabbagh
- Lou Ruvo Center for Brain Health, Cleveland Clinic Nevada, Las Vegas, NV, USA
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42
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Howard E, Irwin DJ, Rascovsky K, Nevler N, Shellikeri S, Tropea TF, Spindler M, Deik A, Chen-Plotkin A, Siderowf A, Dahodwala N, Weintraub D, Shaw LM, Trojanowski JQ, Vaishnavi SN, Wolk DA, Mechanic-Hamilton D, Morley JF, Duda JE, Grossman M, Cousins KAQ. Cognitive Profile and Markers of Alzheimer Disease-Type Pathology in Patients With Lewy Body Dementias. Neurology 2021; 96:e1855-e1864. [PMID: 33593865 PMCID: PMC8105963 DOI: 10.1212/wnl.0000000000011699] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Accepted: 01/06/2021] [Indexed: 12/14/2022] Open
Abstract
OBJECTIVE To determine whether patients with Lewy body dementia (LBD) with likely Alzheimer disease (AD)-type copathology are more impaired on confrontation naming than those without likely AD-type copathology. METHODS We selected 57 patients with LBD (dementia with Lewy bodies [DLB], n = 38; Parkinson disease dementia [PDD], n = 19) with available AD CSF biomarkers and neuropsychological data. CSF β-amyloid1-42 (Aβ42), phosphorylated-tau (p-tau), and total-tau (t-tau) concentrations were measured. We used an autopsy-validated CSF cut point (t-tau:Aβ42 ratio > 0.3, n = 43), or autopsy data when available (n = 14), to categorize patients as having LBD with (LBD + AD, n = 26) and without (LBD - AD, n = 31) likely AD-type copathology. Analysis of covariance tested between-group comparisons across biologically defined groups (LBD + AD, LBD - AD) and clinical phenotypes (DLB, PDD) on confrontation naming (30-item Boston Naming Test [BNT]), executive abilities (letter fluency [LF], reverse digit span [RDS]), and global cognition (Mini-Mental State Examination [MMSE]), with adjustment for age at dementia onset, time from dementia onset to test date, and time from CSF to test date. Spearman correlation related cognitive performance to CSF analytes. RESULTS Patients with LBD + AD performed worse on BNT than patients with LBD - AD (F = 4.80, p = 0.03); both groups performed similarly on LF, RDS, and MMSE (all p > 0.1). Clinically defined PDD and DLB groups did not differ in performance on any of these measures (all p > 0.05). A correlation across all patients showed that BNT score was negatively associated with CSF t-tau (ρ = -0.28, p < 0.05) and p-tau (ρ = -0.26, p = 0.05) but not Aβ42 (p > 0.1). CONCLUSION Markers of AD-type copathology are implicated in impaired language performance in LBD. Biologically based classification of LBD may be advantageous over clinically defined syndromes to elucidate clinical heterogeneity.
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Affiliation(s)
- Erica Howard
- From the Department of Neurology (E.H., D.J.I., K.R., N.N., S.S., T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W., S.N.V., D.A.W., D.M.-H., J.F.M., J.E.D., M.G., K.A.Q.C.), Frontotemporal Degeneration Center (E.H., D.J.I., K.R., N.N., S.S., M.G., K.A.Q.C.), Parkinson's Disease and Movement Disorders Center (T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W.), Digital Neuropathology Laboratory (D.J.I.), Alzheimer's Disease Center (J.Q.T., S.N.V., D.A.W., D.M.-H.), Center for Neurodegenerative Disease Research (L.M.S., J.Q.T.), and Department of Pathology and Laboratory Medicine (L.M.S., J.Q.T., D.A.W.), Perelman School of Medicine at the University of Pennsylvania; and Michael J. Crescenz VA Medical Center (D.W., J.F.M., J.E.D.), Parkinson's Disease Research, Education, and Clinical Center, Philadelphia, PA
| | - David J Irwin
- From the Department of Neurology (E.H., D.J.I., K.R., N.N., S.S., T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W., S.N.V., D.A.W., D.M.-H., J.F.M., J.E.D., M.G., K.A.Q.C.), Frontotemporal Degeneration Center (E.H., D.J.I., K.R., N.N., S.S., M.G., K.A.Q.C.), Parkinson's Disease and Movement Disorders Center (T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W.), Digital Neuropathology Laboratory (D.J.I.), Alzheimer's Disease Center (J.Q.T., S.N.V., D.A.W., D.M.-H.), Center for Neurodegenerative Disease Research (L.M.S., J.Q.T.), and Department of Pathology and Laboratory Medicine (L.M.S., J.Q.T., D.A.W.), Perelman School of Medicine at the University of Pennsylvania; and Michael J. Crescenz VA Medical Center (D.W., J.F.M., J.E.D.), Parkinson's Disease Research, Education, and Clinical Center, Philadelphia, PA
| | - Katya Rascovsky
- From the Department of Neurology (E.H., D.J.I., K.R., N.N., S.S., T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W., S.N.V., D.A.W., D.M.-H., J.F.M., J.E.D., M.G., K.A.Q.C.), Frontotemporal Degeneration Center (E.H., D.J.I., K.R., N.N., S.S., M.G., K.A.Q.C.), Parkinson's Disease and Movement Disorders Center (T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W.), Digital Neuropathology Laboratory (D.J.I.), Alzheimer's Disease Center (J.Q.T., S.N.V., D.A.W., D.M.-H.), Center for Neurodegenerative Disease Research (L.M.S., J.Q.T.), and Department of Pathology and Laboratory Medicine (L.M.S., J.Q.T., D.A.W.), Perelman School of Medicine at the University of Pennsylvania; and Michael J. Crescenz VA Medical Center (D.W., J.F.M., J.E.D.), Parkinson's Disease Research, Education, and Clinical Center, Philadelphia, PA
| | - Naomi Nevler
- From the Department of Neurology (E.H., D.J.I., K.R., N.N., S.S., T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W., S.N.V., D.A.W., D.M.-H., J.F.M., J.E.D., M.G., K.A.Q.C.), Frontotemporal Degeneration Center (E.H., D.J.I., K.R., N.N., S.S., M.G., K.A.Q.C.), Parkinson's Disease and Movement Disorders Center (T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W.), Digital Neuropathology Laboratory (D.J.I.), Alzheimer's Disease Center (J.Q.T., S.N.V., D.A.W., D.M.-H.), Center for Neurodegenerative Disease Research (L.M.S., J.Q.T.), and Department of Pathology and Laboratory Medicine (L.M.S., J.Q.T., D.A.W.), Perelman School of Medicine at the University of Pennsylvania; and Michael J. Crescenz VA Medical Center (D.W., J.F.M., J.E.D.), Parkinson's Disease Research, Education, and Clinical Center, Philadelphia, PA
| | - Sanjana Shellikeri
- From the Department of Neurology (E.H., D.J.I., K.R., N.N., S.S., T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W., S.N.V., D.A.W., D.M.-H., J.F.M., J.E.D., M.G., K.A.Q.C.), Frontotemporal Degeneration Center (E.H., D.J.I., K.R., N.N., S.S., M.G., K.A.Q.C.), Parkinson's Disease and Movement Disorders Center (T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W.), Digital Neuropathology Laboratory (D.J.I.), Alzheimer's Disease Center (J.Q.T., S.N.V., D.A.W., D.M.-H.), Center for Neurodegenerative Disease Research (L.M.S., J.Q.T.), and Department of Pathology and Laboratory Medicine (L.M.S., J.Q.T., D.A.W.), Perelman School of Medicine at the University of Pennsylvania; and Michael J. Crescenz VA Medical Center (D.W., J.F.M., J.E.D.), Parkinson's Disease Research, Education, and Clinical Center, Philadelphia, PA
| | - Thomas F Tropea
- From the Department of Neurology (E.H., D.J.I., K.R., N.N., S.S., T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W., S.N.V., D.A.W., D.M.-H., J.F.M., J.E.D., M.G., K.A.Q.C.), Frontotemporal Degeneration Center (E.H., D.J.I., K.R., N.N., S.S., M.G., K.A.Q.C.), Parkinson's Disease and Movement Disorders Center (T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W.), Digital Neuropathology Laboratory (D.J.I.), Alzheimer's Disease Center (J.Q.T., S.N.V., D.A.W., D.M.-H.), Center for Neurodegenerative Disease Research (L.M.S., J.Q.T.), and Department of Pathology and Laboratory Medicine (L.M.S., J.Q.T., D.A.W.), Perelman School of Medicine at the University of Pennsylvania; and Michael J. Crescenz VA Medical Center (D.W., J.F.M., J.E.D.), Parkinson's Disease Research, Education, and Clinical Center, Philadelphia, PA
| | - Meredith Spindler
- From the Department of Neurology (E.H., D.J.I., K.R., N.N., S.S., T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W., S.N.V., D.A.W., D.M.-H., J.F.M., J.E.D., M.G., K.A.Q.C.), Frontotemporal Degeneration Center (E.H., D.J.I., K.R., N.N., S.S., M.G., K.A.Q.C.), Parkinson's Disease and Movement Disorders Center (T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W.), Digital Neuropathology Laboratory (D.J.I.), Alzheimer's Disease Center (J.Q.T., S.N.V., D.A.W., D.M.-H.), Center for Neurodegenerative Disease Research (L.M.S., J.Q.T.), and Department of Pathology and Laboratory Medicine (L.M.S., J.Q.T., D.A.W.), Perelman School of Medicine at the University of Pennsylvania; and Michael J. Crescenz VA Medical Center (D.W., J.F.M., J.E.D.), Parkinson's Disease Research, Education, and Clinical Center, Philadelphia, PA
| | - Andres Deik
- From the Department of Neurology (E.H., D.J.I., K.R., N.N., S.S., T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W., S.N.V., D.A.W., D.M.-H., J.F.M., J.E.D., M.G., K.A.Q.C.), Frontotemporal Degeneration Center (E.H., D.J.I., K.R., N.N., S.S., M.G., K.A.Q.C.), Parkinson's Disease and Movement Disorders Center (T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W.), Digital Neuropathology Laboratory (D.J.I.), Alzheimer's Disease Center (J.Q.T., S.N.V., D.A.W., D.M.-H.), Center for Neurodegenerative Disease Research (L.M.S., J.Q.T.), and Department of Pathology and Laboratory Medicine (L.M.S., J.Q.T., D.A.W.), Perelman School of Medicine at the University of Pennsylvania; and Michael J. Crescenz VA Medical Center (D.W., J.F.M., J.E.D.), Parkinson's Disease Research, Education, and Clinical Center, Philadelphia, PA
| | - Alice Chen-Plotkin
- From the Department of Neurology (E.H., D.J.I., K.R., N.N., S.S., T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W., S.N.V., D.A.W., D.M.-H., J.F.M., J.E.D., M.G., K.A.Q.C.), Frontotemporal Degeneration Center (E.H., D.J.I., K.R., N.N., S.S., M.G., K.A.Q.C.), Parkinson's Disease and Movement Disorders Center (T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W.), Digital Neuropathology Laboratory (D.J.I.), Alzheimer's Disease Center (J.Q.T., S.N.V., D.A.W., D.M.-H.), Center for Neurodegenerative Disease Research (L.M.S., J.Q.T.), and Department of Pathology and Laboratory Medicine (L.M.S., J.Q.T., D.A.W.), Perelman School of Medicine at the University of Pennsylvania; and Michael J. Crescenz VA Medical Center (D.W., J.F.M., J.E.D.), Parkinson's Disease Research, Education, and Clinical Center, Philadelphia, PA
| | - Andrew Siderowf
- From the Department of Neurology (E.H., D.J.I., K.R., N.N., S.S., T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W., S.N.V., D.A.W., D.M.-H., J.F.M., J.E.D., M.G., K.A.Q.C.), Frontotemporal Degeneration Center (E.H., D.J.I., K.R., N.N., S.S., M.G., K.A.Q.C.), Parkinson's Disease and Movement Disorders Center (T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W.), Digital Neuropathology Laboratory (D.J.I.), Alzheimer's Disease Center (J.Q.T., S.N.V., D.A.W., D.M.-H.), Center for Neurodegenerative Disease Research (L.M.S., J.Q.T.), and Department of Pathology and Laboratory Medicine (L.M.S., J.Q.T., D.A.W.), Perelman School of Medicine at the University of Pennsylvania; and Michael J. Crescenz VA Medical Center (D.W., J.F.M., J.E.D.), Parkinson's Disease Research, Education, and Clinical Center, Philadelphia, PA
| | - Nabila Dahodwala
- From the Department of Neurology (E.H., D.J.I., K.R., N.N., S.S., T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W., S.N.V., D.A.W., D.M.-H., J.F.M., J.E.D., M.G., K.A.Q.C.), Frontotemporal Degeneration Center (E.H., D.J.I., K.R., N.N., S.S., M.G., K.A.Q.C.), Parkinson's Disease and Movement Disorders Center (T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W.), Digital Neuropathology Laboratory (D.J.I.), Alzheimer's Disease Center (J.Q.T., S.N.V., D.A.W., D.M.-H.), Center for Neurodegenerative Disease Research (L.M.S., J.Q.T.), and Department of Pathology and Laboratory Medicine (L.M.S., J.Q.T., D.A.W.), Perelman School of Medicine at the University of Pennsylvania; and Michael J. Crescenz VA Medical Center (D.W., J.F.M., J.E.D.), Parkinson's Disease Research, Education, and Clinical Center, Philadelphia, PA
| | - Daniel Weintraub
- From the Department of Neurology (E.H., D.J.I., K.R., N.N., S.S., T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W., S.N.V., D.A.W., D.M.-H., J.F.M., J.E.D., M.G., K.A.Q.C.), Frontotemporal Degeneration Center (E.H., D.J.I., K.R., N.N., S.S., M.G., K.A.Q.C.), Parkinson's Disease and Movement Disorders Center (T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W.), Digital Neuropathology Laboratory (D.J.I.), Alzheimer's Disease Center (J.Q.T., S.N.V., D.A.W., D.M.-H.), Center for Neurodegenerative Disease Research (L.M.S., J.Q.T.), and Department of Pathology and Laboratory Medicine (L.M.S., J.Q.T., D.A.W.), Perelman School of Medicine at the University of Pennsylvania; and Michael J. Crescenz VA Medical Center (D.W., J.F.M., J.E.D.), Parkinson's Disease Research, Education, and Clinical Center, Philadelphia, PA
| | - Leslie M Shaw
- From the Department of Neurology (E.H., D.J.I., K.R., N.N., S.S., T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W., S.N.V., D.A.W., D.M.-H., J.F.M., J.E.D., M.G., K.A.Q.C.), Frontotemporal Degeneration Center (E.H., D.J.I., K.R., N.N., S.S., M.G., K.A.Q.C.), Parkinson's Disease and Movement Disorders Center (T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W.), Digital Neuropathology Laboratory (D.J.I.), Alzheimer's Disease Center (J.Q.T., S.N.V., D.A.W., D.M.-H.), Center for Neurodegenerative Disease Research (L.M.S., J.Q.T.), and Department of Pathology and Laboratory Medicine (L.M.S., J.Q.T., D.A.W.), Perelman School of Medicine at the University of Pennsylvania; and Michael J. Crescenz VA Medical Center (D.W., J.F.M., J.E.D.), Parkinson's Disease Research, Education, and Clinical Center, Philadelphia, PA
| | - John Q Trojanowski
- From the Department of Neurology (E.H., D.J.I., K.R., N.N., S.S., T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W., S.N.V., D.A.W., D.M.-H., J.F.M., J.E.D., M.G., K.A.Q.C.), Frontotemporal Degeneration Center (E.H., D.J.I., K.R., N.N., S.S., M.G., K.A.Q.C.), Parkinson's Disease and Movement Disorders Center (T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W.), Digital Neuropathology Laboratory (D.J.I.), Alzheimer's Disease Center (J.Q.T., S.N.V., D.A.W., D.M.-H.), Center for Neurodegenerative Disease Research (L.M.S., J.Q.T.), and Department of Pathology and Laboratory Medicine (L.M.S., J.Q.T., D.A.W.), Perelman School of Medicine at the University of Pennsylvania; and Michael J. Crescenz VA Medical Center (D.W., J.F.M., J.E.D.), Parkinson's Disease Research, Education, and Clinical Center, Philadelphia, PA
| | - Sanjeev N Vaishnavi
- From the Department of Neurology (E.H., D.J.I., K.R., N.N., S.S., T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W., S.N.V., D.A.W., D.M.-H., J.F.M., J.E.D., M.G., K.A.Q.C.), Frontotemporal Degeneration Center (E.H., D.J.I., K.R., N.N., S.S., M.G., K.A.Q.C.), Parkinson's Disease and Movement Disorders Center (T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W.), Digital Neuropathology Laboratory (D.J.I.), Alzheimer's Disease Center (J.Q.T., S.N.V., D.A.W., D.M.-H.), Center for Neurodegenerative Disease Research (L.M.S., J.Q.T.), and Department of Pathology and Laboratory Medicine (L.M.S., J.Q.T., D.A.W.), Perelman School of Medicine at the University of Pennsylvania; and Michael J. Crescenz VA Medical Center (D.W., J.F.M., J.E.D.), Parkinson's Disease Research, Education, and Clinical Center, Philadelphia, PA
| | - David A Wolk
- From the Department of Neurology (E.H., D.J.I., K.R., N.N., S.S., T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W., S.N.V., D.A.W., D.M.-H., J.F.M., J.E.D., M.G., K.A.Q.C.), Frontotemporal Degeneration Center (E.H., D.J.I., K.R., N.N., S.S., M.G., K.A.Q.C.), Parkinson's Disease and Movement Disorders Center (T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W.), Digital Neuropathology Laboratory (D.J.I.), Alzheimer's Disease Center (J.Q.T., S.N.V., D.A.W., D.M.-H.), Center for Neurodegenerative Disease Research (L.M.S., J.Q.T.), and Department of Pathology and Laboratory Medicine (L.M.S., J.Q.T., D.A.W.), Perelman School of Medicine at the University of Pennsylvania; and Michael J. Crescenz VA Medical Center (D.W., J.F.M., J.E.D.), Parkinson's Disease Research, Education, and Clinical Center, Philadelphia, PA
| | - Dawn Mechanic-Hamilton
- From the Department of Neurology (E.H., D.J.I., K.R., N.N., S.S., T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W., S.N.V., D.A.W., D.M.-H., J.F.M., J.E.D., M.G., K.A.Q.C.), Frontotemporal Degeneration Center (E.H., D.J.I., K.R., N.N., S.S., M.G., K.A.Q.C.), Parkinson's Disease and Movement Disorders Center (T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W.), Digital Neuropathology Laboratory (D.J.I.), Alzheimer's Disease Center (J.Q.T., S.N.V., D.A.W., D.M.-H.), Center for Neurodegenerative Disease Research (L.M.S., J.Q.T.), and Department of Pathology and Laboratory Medicine (L.M.S., J.Q.T., D.A.W.), Perelman School of Medicine at the University of Pennsylvania; and Michael J. Crescenz VA Medical Center (D.W., J.F.M., J.E.D.), Parkinson's Disease Research, Education, and Clinical Center, Philadelphia, PA
| | - James F Morley
- From the Department of Neurology (E.H., D.J.I., K.R., N.N., S.S., T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W., S.N.V., D.A.W., D.M.-H., J.F.M., J.E.D., M.G., K.A.Q.C.), Frontotemporal Degeneration Center (E.H., D.J.I., K.R., N.N., S.S., M.G., K.A.Q.C.), Parkinson's Disease and Movement Disorders Center (T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W.), Digital Neuropathology Laboratory (D.J.I.), Alzheimer's Disease Center (J.Q.T., S.N.V., D.A.W., D.M.-H.), Center for Neurodegenerative Disease Research (L.M.S., J.Q.T.), and Department of Pathology and Laboratory Medicine (L.M.S., J.Q.T., D.A.W.), Perelman School of Medicine at the University of Pennsylvania; and Michael J. Crescenz VA Medical Center (D.W., J.F.M., J.E.D.), Parkinson's Disease Research, Education, and Clinical Center, Philadelphia, PA
| | - John E Duda
- From the Department of Neurology (E.H., D.J.I., K.R., N.N., S.S., T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W., S.N.V., D.A.W., D.M.-H., J.F.M., J.E.D., M.G., K.A.Q.C.), Frontotemporal Degeneration Center (E.H., D.J.I., K.R., N.N., S.S., M.G., K.A.Q.C.), Parkinson's Disease and Movement Disorders Center (T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W.), Digital Neuropathology Laboratory (D.J.I.), Alzheimer's Disease Center (J.Q.T., S.N.V., D.A.W., D.M.-H.), Center for Neurodegenerative Disease Research (L.M.S., J.Q.T.), and Department of Pathology and Laboratory Medicine (L.M.S., J.Q.T., D.A.W.), Perelman School of Medicine at the University of Pennsylvania; and Michael J. Crescenz VA Medical Center (D.W., J.F.M., J.E.D.), Parkinson's Disease Research, Education, and Clinical Center, Philadelphia, PA
| | - Murray Grossman
- From the Department of Neurology (E.H., D.J.I., K.R., N.N., S.S., T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W., S.N.V., D.A.W., D.M.-H., J.F.M., J.E.D., M.G., K.A.Q.C.), Frontotemporal Degeneration Center (E.H., D.J.I., K.R., N.N., S.S., M.G., K.A.Q.C.), Parkinson's Disease and Movement Disorders Center (T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W.), Digital Neuropathology Laboratory (D.J.I.), Alzheimer's Disease Center (J.Q.T., S.N.V., D.A.W., D.M.-H.), Center for Neurodegenerative Disease Research (L.M.S., J.Q.T.), and Department of Pathology and Laboratory Medicine (L.M.S., J.Q.T., D.A.W.), Perelman School of Medicine at the University of Pennsylvania; and Michael J. Crescenz VA Medical Center (D.W., J.F.M., J.E.D.), Parkinson's Disease Research, Education, and Clinical Center, Philadelphia, PA
| | - Katheryn A Q Cousins
- From the Department of Neurology (E.H., D.J.I., K.R., N.N., S.S., T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W., S.N.V., D.A.W., D.M.-H., J.F.M., J.E.D., M.G., K.A.Q.C.), Frontotemporal Degeneration Center (E.H., D.J.I., K.R., N.N., S.S., M.G., K.A.Q.C.), Parkinson's Disease and Movement Disorders Center (T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W.), Digital Neuropathology Laboratory (D.J.I.), Alzheimer's Disease Center (J.Q.T., S.N.V., D.A.W., D.M.-H.), Center for Neurodegenerative Disease Research (L.M.S., J.Q.T.), and Department of Pathology and Laboratory Medicine (L.M.S., J.Q.T., D.A.W.), Perelman School of Medicine at the University of Pennsylvania; and Michael J. Crescenz VA Medical Center (D.W., J.F.M., J.E.D.), Parkinson's Disease Research, Education, and Clinical Center, Philadelphia, PA.
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Armstrong MJ, Irwin DJ, Leverenz JB, Gamez N, Taylor A, Galvin JE. Biomarker Use for Dementia With Lewy Body Diagnosis: Survey of US Experts. Alzheimer Dis Assoc Disord 2021; 35:55-61. [PMID: 33009039 PMCID: PMC7904569 DOI: 10.1097/wad.0000000000000414] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Accepted: 08/08/2020] [Indexed: 11/26/2022]
Abstract
BACKGROUND Dementia with Lewy body (DLB) diagnostic criteria define "indicative" and "supportive" biomarkers, but clinical practice patterns are unknown. METHODS An anonymous survey querying clinical use of diagnostic tests/biomarkers was sent to 38 center of excellence investigators. The survey included "indicative" biomarkers (dopamine transporter scan, myocardial scintigraphy, polysomnography), "supportive" biomarkers [magnetic resonance imaging (MRI)], positron emission tomography, or single-photon emission computed tomography perfusion/metabolism scans, quantitative electroencephalography), and other diagnostic tests (neuropsychological testing, cerebrospinal fluid analysis, genetics). Responses were analyzed descriptively. RESULTS Of the 22 respondents (58%), all reported the capability to perform neuropsychological testing, MRI, polysomnography, dopamine transporter scans, positron emission tomography/single-photon emission computed tomography scans, and cerebrospinal fluid analysis; 96% could order genetic testing. Neuropsychological testing and MRI were the most commonly ordered tests. Diagnostic testing beyond MRI and neuropsychological testing was most helpful in the context of "possible" DLB and mild cognitive impairment and to assist with differential diagnosis. Myocardial scintigraphy and electroencephalograpy use were rare. CONCLUSIONS AND RELEVANCE Neuropsychological testing and MRI remain the most widely used diagnostic tests by DLB specialists. Other tests-particularly indicative biomarkers-are used only selectively. Research is needed to validate existing potential DLB biomarkers, develop new biomarkers, and investigate mechanisms to improve DLB diagnosis.
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Affiliation(s)
- Melissa J. Armstrong
- Department of Neurology, University of Florida College of Medicine, McKnight Brain Institute
| | | | - James B. Leverenz
- Cleveland Lou Ruvo Center for Brain Health – Neurological Institute, Cleveland Clinic
| | - Noheli Gamez
- Department of Neurology, University of Florida College of Medicine, McKnight Brain Institute
| | | | - James E. Galvin
- Comprehensive Center for Brain Health, Department of Neurology, University of Miami Miller School of Medicine
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Ryman SG, Yutsis M, Tian L, Henderson VW, Montine TJ, Salmon DP, Galasko D, Poston KL. Cognition at Each Stage of Lewy Body Disease with Co-occurring Alzheimer's Disease Pathology. J Alzheimers Dis 2021; 80:1243-1256. [PMID: 33646154 PMCID: PMC8150665 DOI: 10.3233/jad-201187] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/25/2021] [Indexed: 12/30/2022]
Abstract
BACKGROUND Alzheimer's disease neuropathologic change (ADNC) may contribute to dementia in patients with Lewy body disease (LBD) pathology. OBJECTIVE To examine how co-occurring ADNC impacts domain specific cognitive impairments at each pathologic stage (brainstem, limbic, cerebral cortical) of LBD. METHODS 2,433 participants with antemortem longitudinal neuropsychological assessment and postmortem neuropathological assessment from the National Alzheimer's Coordinating Center's Uniform Data Set were characterized based on the evaluation of ADNC and LBD. Longitudinal mixed-models were used to derive measures of cumulative cognitive deficit for each cognitive domain at each pathologic stage of LBD (brainstem, limbic, and cerebral cortical). RESULTS 111 participants with a pathologic diagnosis of LBD, 741 participants with combined LBD and ADNC, 1,357 participants with ADNC only, and 224 with no pathology (healthy controls) were included in the analyses. In the executive/visuospatial domain, combined LBD and ADNC showed worse deficits than LBD only when Lewy bodies were confined to the brainstem, but no difference when Lewy bodies extended to the limbic or cerebral cortical regions. The cerebral cortical LBD only group exhibited greater executive/visuospatial deficits than the ADNC only group. By contrast, the ADNC only group and the combined pathology group both demonstrated significantly greater cumulative memory deficits relative to Lewy body disease only, regardless of stage. CONCLUSION The impact of co-occurring ADNC on antemortem cumulative cognitive deficits varies not only by domain but also on the pathological stage of Lewy bodies. Our findings stress the cognitive impact of different patterns of neuropathological progression in Lewy body diseases.
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Affiliation(s)
- Sephira G. Ryman
- Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
- Translational Neuroscience, Mind Research Network, Albuquerque, NM, USA
| | - Maya Yutsis
- Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Lu Tian
- Biomedical Data Science, Stanford University, Stanford, CA, USA
| | - Victor W. Henderson
- Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
- Epidemiology and Population Health, Stanford University, Stanford, CA, USA
- Department of Clinical Epidemiology, Aarhus University, Aarhus, Denmark
| | | | - David P. Salmon
- Department of Neurosciences, University of California San Diego, San Diego, CA, USA
| | - Douglas Galasko
- Department of Neurosciences, University of California San Diego, San Diego, CA, USA
| | - Kathleen L. Poston
- Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
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Tulbă D, Cozma L, Popescu BO, Davidescu EI. Dysautonomia in Alzheimer's Disease. MEDICINA (KAUNAS, LITHUANIA) 2020; 56:E337. [PMID: 32650427 PMCID: PMC7404689 DOI: 10.3390/medicina56070337] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Revised: 06/27/2020] [Accepted: 07/01/2020] [Indexed: 11/17/2022]
Abstract
Alzheimer's disease is the most common neurodegenerative disorder, and its prevalence increases with age. Although there is a large amount of scientific literature focusing on Alzheimer's disease cardinal cognitive features, autonomic nervous system dysfunction remains understudied despite being common in the elderly. In this article, we reviewed the evidence for autonomic nervous system involvement in Alzheimer's disease. We identified four major potential causes for dysautonomia in Alzheimer's disease, out of which two are well-studied (comorbidities and medication) and two are rather hypothetical (Alzheimer's pathology and brain co-pathology). Although there appears to be some evidence linking Alzheimer's disease pathology to autonomic nervous system dysfunction, there is an important gap between two types of studies; histopathologic studies do not address dysautonomia manifestations, whereas clinical studies do not employ histopathologic diagnostic confirmation. Moreover, brain co-pathology is emerging as an important confounding factor. Therefore, we consider the correlation between dysautonomia and Alzheimer's disease to be an open question that needs further study. Nevertheless, given its impact on morbidity and mortality, we emphasize the importance of assessing autonomic dysfunction in patients with Alzheimer clinical syndrome.
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Affiliation(s)
- Delia Tulbă
- Department of Neurology, Colentina Clinical Hospital, Șoseaua Ștefan cel Mare 19–21, 020125 Bucharest, Romania; (D.T.); (L.C.); (E.I.D.)
- Colentina—Research and Development Center, Colentina Clinical Hospital, Șoseaua Ștefan cel Mare 19–21, 020125 Bucharest, Romania
- Department of Clinical Neurosciences, School of Medicine, Carol Davila University of Medicine and Pharmacy, Bulevardul Eroii Sanitari 8, 050474 Bucharest, Romania
| | - Liviu Cozma
- Department of Neurology, Colentina Clinical Hospital, Șoseaua Ștefan cel Mare 19–21, 020125 Bucharest, Romania; (D.T.); (L.C.); (E.I.D.)
- Department of Clinical Neurosciences, School of Medicine, Carol Davila University of Medicine and Pharmacy, Bulevardul Eroii Sanitari 8, 050474 Bucharest, Romania
| | - Bogdan Ovidiu Popescu
- Department of Neurology, Colentina Clinical Hospital, Șoseaua Ștefan cel Mare 19–21, 020125 Bucharest, Romania; (D.T.); (L.C.); (E.I.D.)
- Department of Clinical Neurosciences, School of Medicine, Carol Davila University of Medicine and Pharmacy, Bulevardul Eroii Sanitari 8, 050474 Bucharest, Romania
- Laboratory of Cell Biology, Neurosciences and Experimental Myology, Victor Babeș National Institute of Pathology, Splaiul Independenței 99–101, 050096 Bucharest, Romania
| | - Eugenia Irene Davidescu
- Department of Neurology, Colentina Clinical Hospital, Șoseaua Ștefan cel Mare 19–21, 020125 Bucharest, Romania; (D.T.); (L.C.); (E.I.D.)
- Department of Clinical Neurosciences, School of Medicine, Carol Davila University of Medicine and Pharmacy, Bulevardul Eroii Sanitari 8, 050474 Bucharest, Romania
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