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Swann P, Mirza-Davies A, O'Brien J. Associations Between Neuropsychiatric Symptoms and Inflammation in Neurodegenerative Dementia: A Systematic Review. J Inflamm Res 2024; 17:6113-6141. [PMID: 39262651 PMCID: PMC11389708 DOI: 10.2147/jir.s385825] [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: 04/15/2024] [Accepted: 08/30/2024] [Indexed: 09/13/2024] Open
Abstract
Background Neuropsychiatric symptoms are common in dementia and linked to adverse outcomes. Inflammation is increasingly recognized as playing a role as a driver of early disease progression in Alzheimer's disease (AD) and related dementias. Inflammation has also been linked to primary psychiatric disorders, however its association with neuropsychiatric symptoms in neurodegenerative dementias remains uncertain. Methods We conducted a systematic literature review investigating associations between inflammation and neuropsychiatric symptoms in neurodegenerative dementias, including AD, Lewy body, Frontotemporal, Parkinson's (PD) and Huntington's disease dementias. Results Ninety-nine studies met our inclusion criteria, and the majority (n = 59) investigated AD and/or mild cognitive impairment (MCI). Thirty-five studies included PD, and only 6 investigated non-AD dementias. Inflammation was measured in blood, CSF, by genotype, brain tissue and PET imaging. Overall, studies exhibited considerable heterogeneity and evidence for specific inflammatory markers was inconsistent, with lack of replication and few longitudinal studies with repeat biomarkers. Depression was the most frequently investigated symptom. In AD, some studies reported increases in peripheral IL-6, TNF-a associated with depressive symptoms. Preliminary investigations using PET measures of microglial activation found an association with agitation. In PD, studies reported positive associations between TNF-a, IL-6, CRP, MCP-1, IL-10 and depression. Conclusion Central and peripheral inflammation may play a role in neuropsychiatric symptoms in neurodegenerative dementias; however, the evidence is inconsistent. There is a need for multi-site longitudinal studies with detailed assessments of neuropsychiatric symptoms combined with replicable peripheral and central markers of inflammation.
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Affiliation(s)
- Peter Swann
- Department of Psychiatry, University of Cambridge, School of Clinical Medicine, Cambridge, UK
| | - Anastasia Mirza-Davies
- Department of Psychiatry, University of Cambridge, School of Clinical Medicine, Cambridge, UK
| | - John O'Brien
- Department of Psychiatry, University of Cambridge, School of Clinical Medicine, Cambridge, UK
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352
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Saeda S, Sumi Y, Fujiwara K, Kadotani H. Blunted tachycardia and cardiac sympathetic denervation in isolated rapid eye movement sleep behavior disorder. BMC Neurol 2024; 24:317. [PMID: 39232705 PMCID: PMC11373284 DOI: 10.1186/s12883-024-03822-w] [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: 05/22/2024] [Accepted: 08/26/2024] [Indexed: 09/06/2024] Open
Abstract
BACKGROUND Isolated rapid eye movement sleep behavior disorder (iRBD) serves as a prodromal phase of Parkinson's disease (PD) and dementia with Lewy bodies (DLB). Blunted tachycardia (BT) during postural changes indicates neurogenic orthostatic hypotension, a marker of autonomic dysfunction. We aimed to investigate whether BT is associated with cardiac sympathetic neurogenic denervation. Additionally, we conducted a preliminary short-term follow-up to examine the potential prognostic significance of BT regarding phenoconversion and mortality. METHODS Forty-three patients with iRBD at Shiga University of Medical Science Hospital underwent active standing tests to identify BT, defined by a specific ratio of decrease in systolic blood pressure to inadequate increase in heart rate after standing, and orthostatic hypotension. 123I-metaiodobenzylguanidine myocardial scintigraphy (123I-MIBG) and dopamine transporter single-photon emission computed tomography (DAT-SPECT) were performed. Participants were followed up for 3.4 ± 2.4 years for phenoconversion and 4.0 ± 2.3 years for mortality assessment, and the risk of events was analyzed using log-rank tests. RESULTS Among the 43 participants (mean age, 72.3 ± 7.9 years; 8 female), 17 met the BT criteria. We found no significant comorbidity-related differences in hypertension or diabetes between the BT(+) and BT(-) groups. Orthostatic hypotension was more prevalent in the BT(+) group than in the BT(-) group (47.1% vs 7.7%, p = 0.003). BT(+) patients were older with a lower early and delayed MIBG uptake; however, no significant differences were observed in DAT accumulation. Phenoconversion was observed in seven (41.2%) BT(+) and seven (26.9%) BT(-) patients. Three deaths were recorded in the BT(+) group (17.6%) and three in the BT(-) group (11.5%). No significant differences were observed in the risk of phenoconversion or mortality between the groups. CONCLUSIONS We have identified the possibility that BT reflects cardiac sympathetic neurogenic denervation in patients with iRBD. Future research is needed to elucidate the potential prognostic value of BT.
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Affiliation(s)
- Shota Saeda
- Department of Materials Process Engineering, Nagoya University, Furo-Cho, Chikusa-Ku, Nagoya, Aichi, 464-8601, Japan
| | - Yukiyoshi Sumi
- Department of Psychiatry, Shiga University of Medical Science, Seta Tsukinowa-Cho, Otsu, Shiga, 520-2192, Japan
| | - Koichi Fujiwara
- Department of Materials Process Engineering, Nagoya University, Furo-Cho, Chikusa-Ku, Nagoya, Aichi, 464-8601, Japan.
| | - Hiroshi Kadotani
- Department of Psychiatry, Shiga University of Medical Science, Seta Tsukinowa-Cho, Otsu, Shiga, 520-2192, Japan
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353
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Beach TG, Serrano GE, Zhang N, Driver-Dunckley ED, Sue LI, Shill HA, Mehta SH, Belden C, Tremblay C, Choudhury P, Atri A, Adler CH. Clinicopathological Heterogeneity of Lewy Body Diseases: The Profound Influence of Comorbid Alzheimer's Disease. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.08.30.24312864. [PMID: 39281742 PMCID: PMC11398443 DOI: 10.1101/2024.08.30.24312864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 09/18/2024]
Abstract
In recent years, proposals have been advanced to redefine or reclassify Lewy body disorders by merging the long-established entities of Parkinson's disease (PD), Parkinson's disease dementia (PDD) and dementia with Lewy bodies (DLB). These proposals reject the International DLB Consortium classification system that has evolved over three decades of consensus collaborations between neurologists, neuropsychologists and neuropathologists. While the Consortium's "one year rule" for separating PD and DLB has been criticized as arbitrary, it has been a pragmatic and effective tool for splitting the continuum between the two entities. In addition to the decades of literature supporting the non-homogeneity of PD and DLB, it has become increasingly apparent that Lewy body disorders may fundamentally differ in their etiology. Most PD subjects, as well as most clinically-presenting DLB subjects, might best be classified as having a "primary synucleinopathy" while most clinically-unidentified DLB subjects, who also have concurrent neuropathology-criteria AD (AD/DLB), as well as those with neuropathological AD and amygdala-predominant LBD insufficient for a DLB diagnosis, may best be classified as having a "secondary synucleinopathy. Importantly, the DLB Consortium recognized the importance of comorbid AD pathology by defining "Low", "Intermediate" and "High" subdivisions of DLB based on the relative brain stages of both Lewy body and AD pathology. If the one-year rule for separating PD from DLB, and for then dividing DLB into subtypes based on the presence and severity of comorbid AD pathology, is effective, then the divided groups should statistically differ in important ways. In this study we used the comprehensive clinicopathological database of the Arizona Study of Aging and Neurodegenerative Disorders (AZSAND) to empirically test this hypothesis. Furthermore, we used multivariable statistical models to test the hypothesis that comorbid AD neuropathology is a major predictor of the presence and severity of postmortem Lewy synucleinopathy. The results confirm the clinicopathological heterogeneity of Lewy body disorders as well as the profound influence of comorbid AD pathology.
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Affiliation(s)
| | | | | | | | - Lucia I Sue
- Banner Sun Health Research Institute, Sun City, AZ
| | | | | | | | | | | | - Alireza Atri
- Banner Sun Health Research Institute, Sun City, AZ
- Harvard & Brigham & Women's, Boston, MA
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354
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Denning AE, Ittyerah R, Levorse LM, Sadeghpour N, Athalye C, Chung E, Ravikumar S, Dong M, Duong MT, Li Y, Ilesanmi A, Sreepada LP, Sabatini P, Lowe M, Bahena A, Zablah J, Spencer BE, Watanabe R, Kim B, Sørensen MH, Khandelwal P, Brown C, Hrybouski S, Xie SX, de Flores R, Robinson JL, Schuck T, Ohm DT, Arezoumandan S, Porta S, Detre JA, Insausti R, Wisse LEM, Das SR, Irwin DJ, Lee EB, Wolk DA, Yushkevich PA. Association of quantitative histopathology measurements with antemortem medial temporal lobe cortical thickness in the Alzheimer's disease continuum. Acta Neuropathol 2024; 148:37. [PMID: 39227502 PMCID: PMC11371872 DOI: 10.1007/s00401-024-02789-9] [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: 05/08/2024] [Revised: 08/07/2024] [Accepted: 08/15/2024] [Indexed: 09/05/2024]
Abstract
The medial temporal lobe (MTL) is a hotspot for neuropathology, and measurements of MTL atrophy are often used as a biomarker for cognitive decline associated with neurodegenerative disease. Due to the aggregation of multiple proteinopathies in this region, the specific relationship of MTL atrophy to distinct neuropathologies is not well understood. Here, we develop two quantitative algorithms using deep learning to measure phosphorylated tau (p-tau) and TDP-43 (pTDP-43) pathology, which are both known to accumulate in the MTL and are associated with MTL neurodegeneration. We focus on these pathologies in the context of Alzheimer's disease (AD) and limbic predominant age-related TDP-43 encephalopathy (LATE) and apply our deep learning algorithms to distinct histology sections, on which MTL subregions were digitally annotated. We demonstrate that both quantitative pathology measures show high agreement with expert visual ratings of pathology and discriminate well between pathology stages. In 140 cases with antemortem MR imaging, we compare the association of semi-quantitative and quantitative postmortem measures of these pathologies in the hippocampus with in vivo structural measures of the MTL and its subregions. We find widespread associations of p-tau pathology with MTL subregional structural measures, whereas pTDP-43 pathology had more limited associations with the hippocampus and entorhinal cortex. Quantitative measurements of p-tau pathology resulted in a significantly better model of antemortem structural measures than semi-quantitative ratings and showed strong associations with cortical thickness and volume. By providing a more granular measure of pathology, the quantitative p-tau measures also showed a significant negative association with structure in a severe AD subgroup where semi-quantitative ratings displayed a ceiling effect. Our findings demonstrate the advantages of using quantitative neuropathology to understand the relationship of pathology to structure, particularly for p-tau, and motivate the use of quantitative pathology measurements in future studies.
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Affiliation(s)
- Amanda E Denning
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA.
| | - Ranjit Ittyerah
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Lisa M Levorse
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Chinmayee Athalye
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
| | - Eunice Chung
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Sadhana Ravikumar
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Mengjin Dong
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Michael Tran Duong
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
| | - Yue Li
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Ademola Ilesanmi
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Lasya P Sreepada
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Philip Sabatini
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - MaKayla Lowe
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Alejandra Bahena
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Jamila Zablah
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Barbara E Spencer
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Ryohei Watanabe
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Neurodegenerative Disease Research, Institute On Aging, University of Pennsylvania, Philadelphia, PA, USA
| | - Boram Kim
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Neurodegenerative Disease Research, Institute On Aging, University of Pennsylvania, Philadelphia, PA, USA
| | - Maja Højvang Sørensen
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Neurodegenerative Disease Research, Institute On Aging, University of Pennsylvania, Philadelphia, PA, USA
| | - Pulkit Khandelwal
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
| | - Christopher Brown
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Sharon X Xie
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, USA
| | - Robin de Flores
- UMR-S U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen-Normandie, INSERM, Caen-Normandie University, GIP Cyceron, Caen, France
| | - John L Robinson
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Neurodegenerative Disease Research, Institute On Aging, University of Pennsylvania, Philadelphia, PA, USA
| | - Theresa Schuck
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Neurodegenerative Disease Research, Institute On Aging, University of Pennsylvania, Philadelphia, PA, USA
| | - Daniel T Ohm
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Sanaz Arezoumandan
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Sílvia Porta
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Neurodegenerative Disease Research, Institute On Aging, University of Pennsylvania, Philadelphia, PA, USA
| | - John A Detre
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Ricardo Insausti
- Human Neuroanatomy Lab, University of Castilla La Mancha, Albacete, Spain
| | - Laura E M Wisse
- Department of Clinical Sciences Lund, Lund University, Lund, Sweden
| | - Sandhitsu R Das
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - David J Irwin
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Edward B Lee
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Neurodegenerative Disease Research, Institute On Aging, University of Pennsylvania, Philadelphia, PA, USA
| | - David A Wolk
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Paul A Yushkevich
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
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355
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Khadhraoui E, Nickl-Jockschat T, Henkes H, Behme D, Müller SJ. Automated brain segmentation and volumetry in dementia diagnostics: a narrative review with emphasis on FreeSurfer. Front Aging Neurosci 2024; 16:1459652. [PMID: 39291276 PMCID: PMC11405240 DOI: 10.3389/fnagi.2024.1459652] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2024] [Accepted: 08/19/2024] [Indexed: 09/19/2024] Open
Abstract
BackgroundDementia can be caused by numerous different diseases that present variable clinical courses and reveal multiple patterns of brain atrophy, making its accurate early diagnosis by conventional examinative means challenging. Although highly accurate and powerful, magnetic resonance imaging (MRI) currently plays only a supportive role in dementia diagnosis, largely due to the enormous volume and diversity of data it generates. AI-based software solutions/algorithms that can perform automated segmentation and volumetry analyses of MRI data are being increasingly used to address this issue. Numerous commercial and non-commercial software solutions for automated brain segmentation and volumetry exist, with FreeSurfer being the most frequently used.ObjectivesThis Review is an account of the current situation regarding the application of automated brain segmentation and volumetry to dementia diagnosis.MethodsWe performed a PubMed search for “FreeSurfer AND Dementia” and obtained 493 results. Based on these search results, we conducted an in-depth source analysis to identify additional publications, software tools, and methods. Studies were analyzed for design, patient collective, and for statistical evaluation (mathematical methods, correlations).ResultsIn the studies identified, the main diseases and cohorts represented were Alzheimer’s disease (n = 276), mild cognitive impairment (n = 157), frontotemporal dementia (n = 34), Parkinson’s disease (n = 29), dementia with Lewy bodies (n = 20), and healthy controls (n = 356). The findings and methods of a selection of the studies identified were summarized and discussed.ConclusionOur evaluation showed that, while a large number of studies and software solutions are available, many diseases are underrepresented in terms of their incidence. There is therefore plenty of scope for targeted research.
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Affiliation(s)
- Eya Khadhraoui
- Clinic for Neuroradiology, University Hospital, Magdeburg, Germany
| | - Thomas Nickl-Jockschat
- Department of Psychiatry and Psychotherapy, University Hospital, Magdeburg, Germany
- German Center for Mental Health (DZPG), Partner Site Halle-Jena-Magdeburg, Magdeburg, Germany
- Center for Intervention and Research on Adaptive and Maladaptive Brain Circuits Underlying Mental Health (C-I-R-C), Magdeburg, Germany
| | - Hans Henkes
- Neuroradiologische Klinik, Katharinen-Hospital, Klinikum-Stuttgart, Stuttgart, Germany
| | - Daniel Behme
- Clinic for Neuroradiology, University Hospital, Magdeburg, Germany
- Stimulate Research Campus Magdeburg, Magdeburg, Germany
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356
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Oertel WH, Janzen A, Henrich MT, Geibl FF, Sittig E, Meles SK, Carli G, Leenders K, Booij J, Surmeier DJ, Timmermann L, Strupp M. Acetyl-DL-leucine in two individuals with REM sleep behavior disorder improves symptoms, reverses loss of striatal dopamine-transporter binding and stabilizes pathological metabolic brain pattern-case reports. Nat Commun 2024; 15:7619. [PMID: 39223119 PMCID: PMC11369233 DOI: 10.1038/s41467-024-51502-7] [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: 02/28/2024] [Accepted: 08/08/2024] [Indexed: 09/04/2024] Open
Abstract
Isolated REM Sleep Behavior Disorder (iRBD) is considered a prodrome of Parkinson's disease (PD). We investigate whether the potentially disease-modifying compound acetyl-DL-leucine (ADLL; 5 g/d) has an effect on prodromal PD progression in 2 iRBD-patients. Outcome parameters are RBD-severity sum-score (RBD-SS-3), dopamine-transporter single-photon emission computerized tomography (DAT-SPECT) and metabolic "Parkinson-Disease-related-Pattern (PDRP)"-z-score in 18F-fluorodeoxyglucose positron emission tomography (FDG-PET). After 3 weeks ADLL-treatment, the RBD-SS-3 drops markedly in both patients and remains reduced for >18 months of ADLL-treatment. In patient 1 (female), the DAT-SPECT putaminal binding ratio (PBR) decreases in the 5 years pretreatment from normal (1.88) to pathological (1.22) and the patient's FDG-PET-PDRP-z-score rises from 1.72 to 3.28 (pathological). After 22 months of ADLL-treatment, the DAT-SPECT-PBR increases to 1.67 and the FDG-PET-PDRP-z-score stabilizes at 3.18. Similar results are seen in patient 2 (male): his DAT-SPECT-PBR rises from a pretreatment value of 1.42 to 1.72 (close to normal) and the FDG-PET-PDRP-z-score decreases from 1.02 to 0.30 after 18 months of ADLL-treatment. These results support exploration of whether ADLL may have disease-modifying properties in prodromal PD.
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Affiliation(s)
- Wolfgang H Oertel
- Department of Neurology, Philipps University of Marburg, Marburg, Germany.
- Institute of Neurogenomics, Helmholtz Center for Medicine and Environment, Munich, Germany.
| | - Annette Janzen
- Department of Neurology, Philipps University of Marburg, Marburg, Germany
| | - Martin T Henrich
- Department of Neurology, Philipps University of Marburg, Marburg, Germany
- Department of Psychiatry and Psychotherapy, Philipps University of Marburg, Marburg, Germany
- Department of Neuroscience, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Fanni F Geibl
- Department of Neurology, Philipps University of Marburg, Marburg, Germany
- Department of Psychiatry and Psychotherapy, Philipps University of Marburg, Marburg, Germany
- Department of Neuroscience, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Elisabeth Sittig
- Department of Neurology, Philipps University of Marburg, Marburg, Germany
| | - Sanne K Meles
- Department of Neurology, University Medical Center Groningen, Groningen, The Netherlands
| | - Giulia Carli
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, Groningen, The Netherlands
| | - Klaus Leenders
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, Groningen, The Netherlands
| | - Jan Booij
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
| | - D James Surmeier
- Department of Neuroscience, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Lars Timmermann
- Department of Neurology, Philipps University of Marburg, Marburg, Germany
| | - Michael Strupp
- Department of Neurology, LMU University Hospital, LMU, Munich, Germany.
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357
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Ratner MH, Rutchik JS. A rare case of early onset lewy body dementia with parkinsonism associated with chronic exposure to copper contaminated drinking water. FRONTIERS IN TOXICOLOGY 2024; 6:1451235. [PMID: 39285928 PMCID: PMC11402898 DOI: 10.3389/ftox.2024.1451235] [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: 06/18/2024] [Accepted: 08/07/2024] [Indexed: 09/19/2024] Open
Abstract
There is a well-recognized relationship between a person's body burden of essential trace elements such as copper and their neurological function in which both deficiencies and exposures to excessive concentrations are associated with adverse clinical outcomes. Preclinical studies indicate chronic excess copper exposure is associated with altered motor function, dopaminergic neuronal loss, astrocytosis, and microgliosis. Copper also promotes oligomerization and fibrilization of α-synuclein suggesting it may hasten the course of an α-synucleinopathy. Here we report a rare case of early onset Lewy Body Dementia with Parkinsonism in a 53-year-old Caucasian woman exposed to copper contaminated drinking water for more than 10 years. Her hair and that of her daughter had streaks of blue-green discoloration as did the porcelain sinks in their home. Testing confirmed copper contamination of the drinking water. A neurologist diagnosed her with Lewy Body Dementia with Parkinsonism. Skin biopsy for phosphorylated α was consistent with a diagnosis of an α-synucleinopathy. These findings suggest chronic exposure to excessive copper may act as disease modifying factor in Lewy Body Dementia with Parkinsonism. It has previously been recommended that individuals at risk of Alzheimer's disease (AD) avoid excessive intake of copper. Genetic studies indicate that Lewy Body Dementia shares risk factors and pathways with AD. Based on the observations in this patient we recommend that individuals at risk for an α-synucleinopathy based on a positive family history, genetic testing, and/or positive results on a skin biopsy for phosphorylated α-synuclein avoid exposure to excess copper.
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Affiliation(s)
- Marcia H Ratner
- Department of Pharmacology, Physiology and Biophysics, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States
| | - Jonathan S Rutchik
- Neurology, Environmental and Occupational Medicine Associates, CA and Division of Medicine, Occupational Medicine, University of California at San Francisco, San Francisco, CA, United States
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358
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Golimstok Á, Basalo MJG, Majul M, Berrios W, Rugiero M, Fernández MC, Eichel R. Adult Attention Deficit-Hyperactivity Disorder is associated with Lewy Body Disease and Cognitive Impairment: A prospective cohort Study With 15-year Follow-Up. Am J Geriatr Psychiatry 2024; 32:1063-1077. [PMID: 38697886 DOI: 10.1016/j.jagp.2024.04.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Revised: 04/08/2024] [Accepted: 04/08/2024] [Indexed: 05/05/2024]
Abstract
OBJECTIVES Past reports have suggested that attention-deficit/hyperactivity disorder (ADHD) may be a risk factor for Lewy body disease (LBD). To confirm this relationship, we conducted the present study. DESIGN A prospective observational cohort study with a follow-up to 15 years. SETTING The subjects were recruited from cognitive neurology clinics, where they attended for a cognitive complaint or health check-up. PARTICIPANTS Two groups of subjects: ADHD adults and healthy subjects. MEASUREMENTS The risk of dementia and LBD was estimated with Kaplan-Meier analysis comparing for the presence or absence of ADHD with the log-rank test. Predictors of conversion were assessed through separate univariate and multivariate Cox regression analyses, adjusting for several variables. RESULTS The baseline sample consisted of 161 subjects with ADHD and 109 without ADHD. At the end of the follow-up, 31 subjects developed dementia, 27 cases in the ADHD group and 4 in comparison group. Dementia with Lewy bodies (DLB) was the most frequent type (N:20) of which 19 corresponded to the ADHD group. The incidence of non-amnestic-MCI in the ADHD group was higher representing 67.1 % of these subjects (N:108), and 17.4% (N:19) of healthy cases. The hazard ratios for dementia and LBD in the multivariate adjusted model were 3.33 (95% CI 1.0915 to 10.1699) and 54.54 (95% CI 7.4849 to 397.5028), respectively in the ADHD group. CONCLUSIONS This study showed that adult ADHD is independently associated with an increased risk of LBD, dementia, and na-MCI. Future studies should clarify this relationship to develop preventive measures for these patients.
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Affiliation(s)
- Ángel Golimstok
- Cognitive and Behavior Unit, Department of Neurology (AG, MJGB, MM, WB, MR, MCF), Hospital Italiano de Buenos Aires, Buenos Aires, Argentina; Master of Neuropsychology (AG, MJGB, MM, WB, MCF), University Institute of the Italian Hospital, Buenos Aires, Argentina.
| | - María José García Basalo
- Cognitive and Behavior Unit, Department of Neurology (AG, MJGB, MM, WB, MR, MCF), Hospital Italiano de Buenos Aires, Buenos Aires, Argentina; Master of Neuropsychology (AG, MJGB, MM, WB, MCF), University Institute of the Italian Hospital, Buenos Aires, Argentina
| | - Mariana Majul
- Cognitive and Behavior Unit, Department of Neurology (AG, MJGB, MM, WB, MR, MCF), Hospital Italiano de Buenos Aires, Buenos Aires, Argentina; Master of Neuropsychology (AG, MJGB, MM, WB, MCF), University Institute of the Italian Hospital, Buenos Aires, Argentina
| | - Waleska Berrios
- Cognitive and Behavior Unit, Department of Neurology (AG, MJGB, MM, WB, MR, MCF), Hospital Italiano de Buenos Aires, Buenos Aires, Argentina; Master of Neuropsychology (AG, MJGB, MM, WB, MCF), University Institute of the Italian Hospital, Buenos Aires, Argentina
| | - Marcelo Rugiero
- Cognitive and Behavior Unit, Department of Neurology (AG, MJGB, MM, WB, MR, MCF), Hospital Italiano de Buenos Aires, Buenos Aires, Argentina
| | - Maria Cecilia Fernández
- Cognitive and Behavior Unit, Department of Neurology (AG, MJGB, MM, WB, MR, MCF), Hospital Italiano de Buenos Aires, Buenos Aires, Argentina; Master of Neuropsychology (AG, MJGB, MM, WB, MCF), University Institute of the Italian Hospital, Buenos Aires, Argentina
| | - Roni Eichel
- Department of Neurology (RE), Shaare Zedek Medical Center, Jerusalem, Israel; The School of Medicine (RE), The Hebrew University, Jerusalem, Israel
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359
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Abdelnour C, Young CB, Shahid-Besanti M, Smith A, Wilson EN, Benitez JR, Vossler H, Plastini MJ, Winer JR, Kerchner GA, Cholerton B, Andreasson KI, Henderson VW, Yutsis M, Montine TJ, Tian L, Mormino EC, Poston KL. Plasma pTau181 Reveals a Pathological Signature that Predicts Cognitive Outcomes in Lewy Body Disease. Ann Neurol 2024; 96:526-538. [PMID: 38888142 PMCID: PMC11324388 DOI: 10.1002/ana.27003] [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: 12/03/2023] [Revised: 05/22/2024] [Accepted: 05/25/2024] [Indexed: 06/20/2024]
Abstract
OBJECTIVE To determine whether plasma phosphorylated-Tau181 (pTau181) could be used as a diagnostic biomarker of concurrent Alzheimer's disease neuropathologic change (ADNC) or amyloidosis alone, as well as a prognostic, monitoring, and susceptibility/risk biomarker for clinical outcomes in Lewy body disease (LBD). METHODS We studied 565 participants: 94 LBD with normal cognition, 83 LBD with abnormal cognition, 114 with Alzheimer's disease, and 274 cognitively normal. Plasma pTau181 levels were measured with the Lumipulse G platform. Diagnostic accuracy for concurrent ADNC and amyloidosis was assessed with Receiver Operating Characteristic curves in a subset of participants with CSF pTau181/Aβ42, and CSF Aβ42/Aβ40 or amyloid-β PET, respectively. Linear mixed effects models were used to examine the associations between baseline and longitudinal plasma pTau181 levels and clinical outcomes. RESULTS Plasma pTau181 predicted concurrent ADNC and amyloidosis in LBD with abnormal cognition with 87% and 72% accuracy, respectively. In LBD patients with abnormal cognition, higher baseline plasma pTau181 was associated with worse baseline MoCA and CDR-SB, as well as accelerated decline in CDR-SB. Additionally, in this group, rapid increases in plasma pTau181 over 3 years predicted a faster decline in CDR-SB and memory. In LBD patients with normal cognition, there was no association between baseline or longitudinal plasma pTau181 levels and clinical outcomes; however, elevated pTau181 at baseline increased the risk of conversion to cognitive impairment. INTERPRETATION Our findings suggest that plasma pTau181 is a promising biomarker for concurrent ADNC and amyloidosis in LBD. Furthermore, plasma pTau181 holds potential as a prognostic, monitoring, and susceptibility/risk biomarker, predicting disease progression in LBD. ANN NEUROL 2024;96:526-538.
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Affiliation(s)
- Carla Abdelnour
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Christina B Young
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Marian Shahid-Besanti
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Alena Smith
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Edward N. Wilson
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Javier Ramos Benitez
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Hillary Vossler
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Melanie J. Plastini
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Joseph R. Winer
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Geoffrey A. Kerchner
- Pharma Research and Early Development, F. Hoffmann-La Roche, Ltd., Roche, Basel, Switzerland
| | - Brenna Cholerton
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Katrin I. Andreasson
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Victor W. Henderson
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA
| | - Maya Yutsis
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Thomas J Montine
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Lu Tian
- Department of Biomedical Data Science, School of Medicine. Department of Statistics, School of Humanities and Sciences. Stanford University, CA, USA
| | - Elizabeth C. Mormino
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Kathleen L. Poston
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, USA
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Camerucci E, Mullan AF, Turcano P, Stang CD, Bower J, Benarroch EE, Boeve BF, Savica R. A Population-Based Approach to the Argument on Brain-First and Body-First Pathogenesis of Lewy Body Disease. Ann Neurol 2024; 96:551-559. [PMID: 38860478 DOI: 10.1002/ana.27006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 05/28/2024] [Accepted: 05/28/2024] [Indexed: 06/12/2024]
Abstract
OBJECTIVE To explore the clinical progression of the brain-/body-first categories within Lewy body disease (LBD): Parkinson's disease (PD), dementia with Lewy bodies (DLB), and PD dementia. METHODS We used of the Rochester Epidemiology Project to establish a population-based cohort of clinically diagnosed LBD. We used two definitions for differentiating between brain- and body-first LBD: a previously hypothesized body-first presentation in patients with rapid eye movement sleep behavior onset before motor symptoms onset; and an expanded definition of body-first LBD when a patient had at least 2 premotor symptoms between constipation, erectile dysfunction, rapid eye movement sleep behavior, anosmia, or neurogenic bladder. RESULTS Brain-first patients were more likely to be diagnosed with PD (RR = 1.43, p = 0.003), whereas body-first patients were more likely to be diagnosed with DLB (RR = 3.15, p < 0.001). Under the expanded definition, there was no difference in LBD diagnosis between brain-first and body-first patients (PD: RR = 1.03, p = 0.10; DLB: RR = 0.88, p = 0.58) There were no patterns between brain- or body-first presentation, PD dementia under either definition (original: p = 0.09, expanded: p = 0.97), and no significant difference in motor symptoms between brain-first and body-first. INTERPRETATION Our findings do not support the dichotomous classification of body-first and brain-first LBD with the currently proposed definition. Biological exposures resulting in PD and DLB are unlikely to converge on a binary classification of top-down or bottom-up synuclein pathology. ANN NEUROL 2024;96:551-559.
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Affiliation(s)
- Emanuele Camerucci
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
- Department of Neurology, Kansas University Medical Center (KUMC), Kansas City, KS, USA
| | - Aidan F Mullan
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | | | - Cole D Stang
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - James Bower
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | | | | | - Rodolfo Savica
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
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Brumberg J, Blazhenets G, Bühler S, Fostitsch J, Rijntjes M, Ma Y, Eidelberg D, Weiller C, Jost WH, Frings L, Schröter N, Meyer PT. Cerebral Glucose Metabolism Is a Valuable Predictor of Survival in Patients with Lewy Body Diseases. Ann Neurol 2024; 96:539-550. [PMID: 38888141 DOI: 10.1002/ana.27005] [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: 12/28/2023] [Revised: 04/22/2024] [Accepted: 05/17/2024] [Indexed: 06/20/2024]
Abstract
OBJECTIVE Patients with Lewy body diseases have an increased risk of dementia, which is a significant predictor for survival. Posterior cortical hypometabolism on [18F]fluorodeoxyglucose positron emission tomography (PET) precedes the development of dementia by years. We therefore examined the prognostic value of cerebral glucose metabolism for survival. METHODS We enrolled patients diagnosed with Parkinson's disease (PD), Parkinson's disease with dementia, or dementia with Lewy bodies who underwent [18F]fluorodeoxyglucose PET. Regional cerebral metabolism of each patient was analyzed by determining the expression of the PD-related cognitive pattern (Z-score) and by visual PET rating. We analyzed the predictive value of PET for overall survival using Cox regression analyses (age- and sex-corrected) and calculated prognostic indices for the best model. RESULTS Glucose metabolism was a significant predictor of survival in 259 included patients (n = 118 events; hazard ratio: 1.4 [1.2-1.6] per Z-score; hazard ratio: 1.8 [1.5-2.2] per visual PET rating score; both p < 0.0001). Risk stratification with visual PET rating scores yielded a median survival of 4.8, 6.8, and 12.9 years for patients with severe, moderate, and mild posterior cortical hypometabolism (median survival not reached for normal cortical metabolism). Stratification into 5 groups based on the prognostic index revealed 10-year survival rates of 94.1%, 78.3%, 34.7%, 0.0%, and 0.0%. INTERPRETATION Regional cerebral glucose metabolism is a significant predictor of survival in Lewy body diseases and may allow an earlier survival prediction than the clinical milestone "dementia." Thus, [18F]fluorodeoxyglucose PET may improve the basis for therapy decisions, especially for invasive therapeutic procedures like deep brain stimulation in Parkinson's disease. ANN NEUROL 2024;96:539-550.
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Affiliation(s)
- Joachim Brumberg
- Department of Nuclear Medicine, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Ganna Blazhenets
- Department of Nuclear Medicine, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Sabrina Bühler
- Department of Nuclear Medicine, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Johannes Fostitsch
- Department of Nuclear Medicine, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Michel Rijntjes
- Department of Neurology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Yilong Ma
- Center for Neurosciences, Institute of Molecular Medicine, The Feinstein Institutes for Medical Research, Northwell Health, Manhasset, New York, USA
| | - David Eidelberg
- Center for Neurosciences, Institute of Molecular Medicine, The Feinstein Institutes for Medical Research, Northwell Health, Manhasset, New York, USA
| | - Cornelius Weiller
- Department of Neurology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | | | - Lars Frings
- Department of Nuclear Medicine, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Nils Schröter
- Department of Neurology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Philipp T Meyer
- Department of Nuclear Medicine, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
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Carrarini C, Nardulli C, Titti L, Iodice F, Miraglia F, Vecchio F, Rossini PM. Neuropsychological and electrophysiological measurements for diagnosis and prediction of dementia: a review on Machine Learning approach. Ageing Res Rev 2024; 100:102417. [PMID: 39002643 DOI: 10.1016/j.arr.2024.102417] [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: 11/09/2023] [Revised: 04/29/2024] [Accepted: 07/07/2024] [Indexed: 07/15/2024]
Abstract
INTRODUCTION Emerging and advanced technologies in the field of Artificial Intelligence (AI) represent promising methods to predict and diagnose neurodegenerative diseases, such as dementia. By using multimodal approaches, Machine Learning (ML) seems to provide a better understanding of the pathological mechanisms underlying the onset of dementia. The purpose of this review was to discuss the current ML application in the field of neuropsychology and electrophysiology, exploring its results in both prediction and diagnosis for different forms of dementia, such as Alzheimer's disease (AD), Vascular Dementia (VaD), Dementia with Lewy bodies (DLB), and Frontotemporal Dementia (FTD). METHODS Main ML-based papers focusing on neuropsychological assessments and electroencephalogram (EEG) studies were analyzed for each type of dementia. RESULTS An accuracy ranging between 70 % and 90 % or even more was observed in all neurophysiological and electrophysiological results trained by ML. Among all forms of dementia, the most significant findings were observed for AD. Relevant results were mostly related to diagnosis rather than prediction, because of the lack of longitudinal studies with appropriate follow-up duration. However, it remains unclear which ML algorithm performs better in diagnosing or predicting dementia. CONCLUSIONS Neuropsychological and electrophysiological measurements, together with ML analysis, may be considered as reliable instruments for early detection of dementia.
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Affiliation(s)
- Claudia Carrarini
- Department of Neuroscience & Neurorehabilitation, IRCCS San Raffaele, via della Pisana 235, Rome 00163, Italy; Department of Neuroscience, Catholic University of Sacred Heart, Largo Agostino Gemelli 8, Rome 00168, Italy
| | - Cristina Nardulli
- Department of Neuroscience & Neurorehabilitation, IRCCS San Raffaele, via della Pisana 235, Rome 00163, Italy
| | - Laura Titti
- Department of Neuroscience & Neurorehabilitation, IRCCS San Raffaele, via della Pisana 235, Rome 00163, Italy
| | - Francesco Iodice
- Department of Neuroscience & Neurorehabilitation, IRCCS San Raffaele, via della Pisana 235, Rome 00163, Italy
| | - Francesca Miraglia
- Department of Neuroscience & Neurorehabilitation, IRCCS San Raffaele, via della Pisana 235, Rome 00163, Italy; Department of Theoretical and Applied Sciences, eCampus University, via Isimbardi 10, Novedrate 22060, Italy
| | - Fabrizio Vecchio
- Department of Neuroscience & Neurorehabilitation, IRCCS San Raffaele, via della Pisana 235, Rome 00163, Italy; Department of Theoretical and Applied Sciences, eCampus University, via Isimbardi 10, Novedrate 22060, Italy
| | - Paolo Maria Rossini
- Department of Neuroscience & Neurorehabilitation, IRCCS San Raffaele, via della Pisana 235, Rome 00163, Italy.
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363
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Olğun Y, Aksoy Poyraz C, Bozluolçay M, Poyraz BÇ. Quantitative EEG in the Differential Diagnosis of Dementia Subtypes. J Geriatr Psychiatry Neurol 2024; 37:368-378. [PMID: 38217438 DOI: 10.1177/08919887241227410] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/15/2024]
Abstract
OBJECTIVE Most neurodegenerative dementias present with substantial overlap in clinical features. Therefore, differential diagnosis is often a challenging task necessitating costly and sometimes invasive diagnostic procedures. A promising, non-invasive and cost-effective method is the widely available electroencephalography (EEG). METHODS Twenty-three subjects with Alzheimer's disease (AD), 28 subjects with dementia with Lewy bodies (DLB), 15 subjects with frontotemporal dementias (FTDs), and 22 healthy controls (HC) were enrolled. Nineteen channel computerized EEG recordings were acquired. Mean relative powers were calculated using the standard frequency bands. Theta/alpha ratio (TAR), theta/beta ratio (TBR), a spectral index of (alpha + beta)/(theta + delta) and an alpha reactivity index (alpha in eyes-open condition/alpha in eyes-closed condition) were also calculated. Receiver operating characteristic (ROC) analyses were performed to assess diagnostic accuracy. RESULTS For the comparison of EEG measures across groups, we performed a multivariate ANOVA followed by univariate ANOVAs controlling for the effects of age, with post hoc tests. Theta power and TBR were increased in DLB compared to other groups. Alpha power was decreased in DLB compared to HC and FTD; and in AD compared to FTD. Beta power was decreased in DLB compared to AD and HC. Furthermore, regional analyses demonstrated a unique pattern of theta power increase in DLB; affecting frontal, central, parietal, occipital, and temporal regions. In AD, theta power increased compared to HC in parietal, occipital, and right temporal regions. TAR was increased in DLB compared to other groups; and in AD compared to HC. Finally, alpha reactivity index was higher in DLB compared to HC and FTD. In AD, EEG slowing was associated with cognitive impairment, while in DLB, this was associated with higher DLB characteristics. In the ROC analyses to distinguish DLB from FTD and AD, measures of EEG slowing yielded high area under curve values, with good specificities. Also, decreased alpha reactivity could distinguish DLB from FTD with good specificity. EEG slowing in DLB showed a diffuse pattern compared to AD, where a posterior and temporal slowing predominated. CONCLUSION We showed that EEG slowing was satisfactory in distinguishing DLB patients from AD and FTD patients. Notably, this slowing was a characteristic finding in DLB patients, even at early stages, while it paralleled disease progression in AD. Furthermore, EEG slowing in DLB showed a diffuse pattern compared to AD, where a posterior and temporal slowing predominated. These findings align with the previous evidence of the diencephalic dysfunction in DLB.
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Affiliation(s)
- Yeşim Olğun
- Department of Psychiatry, Cerrahpaşa Medical School, Istanbul University-Cerrahpaşa, Istanbul, Turkey
| | - Cana Aksoy Poyraz
- Department of Psychiatry, Cerrahpaşa Medical School, Istanbul University-Cerrahpaşa, Istanbul, Turkey
| | - Melda Bozluolçay
- Department of Neurology, Cerrahpaşa Medical School, Istanbul University-Cerrahpaşa, Istanbul, Turkey
| | - Burç Çağrı Poyraz
- Department of Psychiatry, Cerrahpaşa Medical School, Istanbul University-Cerrahpaşa, Istanbul, Turkey
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Burelo M, Bray J, Gulka O, Firbank M, Taylor JP, Platt B. Advanced qEEG analyses discriminate between dementia subtypes. J Neurosci Methods 2024; 409:110195. [PMID: 38889843 DOI: 10.1016/j.jneumeth.2024.110195] [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: 11/09/2023] [Revised: 06/03/2024] [Accepted: 06/10/2024] [Indexed: 06/20/2024]
Abstract
BACKGROUND Dementia is caused by neurodegenerative conditions and characterized by cognitive decline. Diagnostic accuracy for dementia subtypes, such as Alzheimer's Disease (AD), Dementia with Lewy Bodies (DLB) and Parkinson's Disease with dementia (PDD), remains challenging. METHODS Here, different methods of quantitative electroencephalography (qEEG) analyses were employed to assess their effectiveness in distinguishing dementia subtypes from healthy controls under eyes closed (EC) and eyes open (EO) conditions. RESULTS Classic Fast-Fourier Transform (FFT) and autoregressive (AR) power analyses differentiated between all conditions for the 4-8 Hz theta range. Only individuals with dementia with Lewy Bodies (DLB) differed from healthy subjects for the wider 4-15 Hz frequency range, encompassing the actual dominant frequency of all individuals. FFT results for this range yielded wider significant discriminators vs AR, also detecting differences between AD and DLB. Analyses of the inclusive dominant / peak frequency range (4-15 Hz) indicated slowing and reduced variability, also discriminating between synucleinopathies vs controls and AD. Dissociation of periodic oscillations and aperiodic components of AR spectra using Fitting-Oscillations-&-One-Over-F (FOOOF) modelling delivered a reliable and subtype-specific slowing of brain oscillatory peaks during EC and EO for all groups. Distinct and robust differences were particularly strong for aperiodic parameters, suggesting their potential diagnostic power in detecting specific changes resulting from age and cognitive status. CONCLUSION Our findings indicate that qEEG methods can reliably detect dementia subtypes. Spectral analyses comprising an integrated, multi-parameter EEG approach discriminating between periodic and aperiodic components under EC and EO conditions may enhance diagnostic accuracy in the future.
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Affiliation(s)
- Masha Burelo
- School of Medical Sciences, Institute of Medical Sciences, University of Aberdeen, Foresterhill, Aberdeen, Scotland AB25 2ZD, United Kingdom
| | - Jack Bray
- School of Medical Sciences, Institute of Medical Sciences, University of Aberdeen, Foresterhill, Aberdeen, Scotland AB25 2ZD, United Kingdom
| | - Olga Gulka
- School of Medical Sciences, Institute of Medical Sciences, University of Aberdeen, Foresterhill, Aberdeen, Scotland AB25 2ZD, United Kingdom
| | - Michael Firbank
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne NE1 7RU, United Kingdom
| | - John-Paul Taylor
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne NE1 7RU, United Kingdom
| | - Bettina Platt
- School of Medical Sciences, Institute of Medical Sciences, University of Aberdeen, Foresterhill, Aberdeen, Scotland AB25 2ZD, United Kingdom.
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Miyamoto T, Nakajima I, Arikawa T, Miyamoto M. Bowel movement frequency and difficult defecation using constipation assessment scale in patients with isolated REM sleep behavior disorder. Clin Park Relat Disord 2024; 11:100269. [PMID: 39286572 PMCID: PMC11404085 DOI: 10.1016/j.prdoa.2024.100269] [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: 05/20/2024] [Revised: 07/23/2024] [Accepted: 08/27/2024] [Indexed: 09/19/2024] Open
Abstract
Introduction This study evaluated constipation, including reduced bowel movement frequency and difficult defecation, in patients with isolated rapid eye movement sleep behavior disorder (IRBD), which is prodromal Parkinson's disease (PD) or dementia with Lewy bodies (DLB) in middle-aged and older adults. Methods We used a validated Japanese version of the Constipation Assessment Scale (CAS-J) to evaluate bowel habits over 1 month in 117 men aged 50-86 years and 34 women aged 56-86 years with video-polysomnography-confirmed IRBD and 22 controls. Furthermore, we performed a longitudinal assessment of outcomes at follow-up visits. Results The CAS-J score was higher in the 22 IRBD patients than in 22 age- and gender-matched paired controls. In 151 IRBD patients, the CAS-J score was higher for women than for men. At baseline, the CAS-J score was similar between patients who developed PD and DLB, but the three IRBD patients who developed multiple system atrophy had a low CAS-J score. Those with constipation (CAS-J score ≥ 2) converted to PD or DLB in a significantly shorter time duration (i.e., time frame for phenoconversion) than those with CAS-J score < 2 (log-rank test, p < 0.001). When adjusted for age and gender, Cox hazards analysis revealed that the CAS-J score significantly predicted phenoconversion to PD or DLB (hazard ratio: 5.9, 95 % confidence interval: 1.8-19.1, p = 0.003). Conclusions Constipation, i.e., reduced bowel movement frequency and difficult defecation, was common in middle-aged and elderly patients with IRBD, and CAS-J score predicted phenoconversion to PD or DLB.
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Affiliation(s)
- Tomoyuki Miyamoto
- Department of Neurology, Dokkyo Medical University Saitama Medical Center, Japan
| | - Itsuo Nakajima
- Center of Sleep Medicine, Dokkyo Medical University, Japan
| | - Takuo Arikawa
- Center of Sleep Medicine, Dokkyo Medical University, Japan
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Wollney E, Sovich K, LaBarre B, Maixner SM, Paulson HL, Manning C, Fields JA, Lunde A, Boeve BF, Galvin JE, Taylor AS, Li Z, Fechtel HJ, Armstrong MJ. End-of-life experiences in individuals with dementia with Lewy bodies and their caregivers: A mixed-methods analysis. PLoS One 2024; 19:e0309530. [PMID: 39208192 PMCID: PMC11361593 DOI: 10.1371/journal.pone.0309530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2024] [Accepted: 08/13/2024] [Indexed: 09/04/2024] Open
Abstract
BACKGROUND Dementia with Lewy bodies (DLB) is one of the most common degenerative dementias, but research on end-of-life experiences for people with DLB and their caregivers is limited. METHOD Dyads of individuals with moderate-advanced DLB and their primary informal caregivers were recruited from specialty clinics, advocacy organizations, and research registries and followed prospectively every 6 months. The current study examines results of caregiver study visits 3 months after the death of the person with DLB. These visits included the Last Month of Life survey, study-specific questions, and a semi-structured interview querying end-of-life experiences. RESULTS Individuals with DLB (n = 50) died 3.24 ± 1.81 years after diagnosis, typically of disease-related complications. Only 44% of caregivers reported a helpful conversation with clinicians regarding what to expect at the end of life in DLB. Symptoms commonly worsening prior to death included: cognition and motor function, ADL dependence, behavioral features, daytime sleepiness, communication, appetite, and weight loss. Almost 90% of participants received hospice care, but 20% used hospice for <1 week. Most caregivers reported overall positive experiences in the last month of life, but this was not universal. Having information about DLB and what to expect, access to support, and hospice care were healthcare factors associated with positive and negative end of life experiences. Hospice experiences were driven by communication, care coordination, quality care, and caregiver education. CONCLUSION Most caregivers of individuals who died with DLB reported positive end-of-life experiences. However, the study identified multiple opportunities for improvement relating to clinician counseling of patients/families, support/hospice referrals, and monitoring individuals with DLB to identify approaching end of life. Future research should quantitatively identify changes that herald end of life in DLB and develop tools that can assist clinicians in evaluating disease stage to better inform counseling and timely hospice referrals. TRIAL REGISTRATION Trial registration information: NCT04829656.
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Affiliation(s)
- Easton Wollney
- Department of Health Outcomes and Biomedical Informatics, University of Florida College of Medicine, Gainesville, Florida, United States of America
| | - Kaitlin Sovich
- Department of Neurology, University of Florida College of Medicine, Gainesville, Florida, United States of America
- Norman Fixel Institute for Neurological Diseases, Gainesville, Florida, United States of America
| | - Brian LaBarre
- Department of Biostatistics, University of Florida College of Medicine, Gainesville, Florida, United States of America
| | - Susan M. Maixner
- Department of Psychiatry, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Henry L. Paulson
- Department of Neurology, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Carol Manning
- Department of Neurology, University of Virginia, Charlottesville, Virginia, United States of America
| | - Julie A. Fields
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Angela Lunde
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Bradley F. Boeve
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, United States of America
| | - James E. Galvin
- Department of Neurology, Comprehensive Center for Brain Health, University of Miami Miller School of Medicine, Miami, Florida, United States of America
| | - Angela S. Taylor
- Lewy Body Dementia Association, Lilburn, Georgia, United States of America
| | - Zhigang Li
- Department of Biostatistics, University of Florida College of Medicine, Gainesville, Florida, United States of America
| | - Hannah J. Fechtel
- Department of Neurology, University of Florida College of Medicine, Gainesville, Florida, United States of America
- Norman Fixel Institute for Neurological Diseases, Gainesville, Florida, United States of America
| | - Melissa J. Armstrong
- Department of Neurology, University of Florida College of Medicine, Gainesville, Florida, United States of America
- Norman Fixel Institute for Neurological Diseases, Gainesville, Florida, United States of America
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Honjo Y, Nagai K, Yuri T, Nakai H, Kawasaki I, Harada S, Suganuma I, Ogawa N. Shoulder Joint Range of Motion Related to Dementia. Dement Geriatr Cogn Disord 2024; 54:21-28. [PMID: 39197430 DOI: 10.1159/000541158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2024] [Accepted: 08/26/2024] [Indexed: 09/01/2024] Open
Abstract
INTRODUCTION Dementia is caused by various diseases, including Alzheimer's disease dementia (ADD) and dementia with Lewy bodies (DLB). We often encounter patients with dementia who have limited shoulder joint range of motion (ROM), especially those with behavioral and psychological symptoms of dementia (BPSD). But the relationship between the diseases of dementia and restricted shoulder joint ROM is currently unclear. METHODS We examined cognitive function and shoulder joint ROM in 234 new outpatients at 7 memory clinics in Japan. We assessed cognitive function using the Mini-Mental State Examination (MMSE) and Revised Hasegawa Dementia Scale (HDS-R) and BPSD using the Neuropsychiatric Inventory Questionnaire (NPI-Q). Patients were categorized by dementia diagnosis (ADD, DLB, other dementia, and control). Right, left, and total shoulder joint ROM was assessed using validated the Japanese Orthopaedic Association (JOA) score. RESULTS We found significant associations of lower right, left, and total shoulder joint ROM scores with male sex, advanced age, higher NPI-Q score, lower HDS-R, and MMSE scores. Little difference was found between right and left shoulder joint ROM scores. Restricted shoulder joint ROM was related to serial 7, verbal frequency domain scores on the HDS-R and repeat score on the MMSE. It was also related to the hallucinations, irritability/lability and nighttime disturbances scores on the NPI-Q. Furthermore, the dementia groups, especially the DLB group, showed worse shoulder joint ROM than the control group. CONCLUSIONS Dementia was significantly related to restricted shoulder joint ROM. Maintaining communication and social interaction may help maintain shoulder joint ROM.
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Affiliation(s)
- Yasuyuki Honjo
- Department of Memory Clinic, Kyoto Kaisei Hospital, Kyoto, Japan
- Department of Occupational Therapy, Faculty of Health Science, Kyoto Tachibana University, Kyoto, Japan
| | - Kuniaki Nagai
- Department of Occupational Therapy, Faculty of Rehabilitation, Reiwa Health Sciences University, Fukuoka, Japan
| | - Takuma Yuri
- Department of Occupational Therapy, Faculty of Health Science, Kyoto Tachibana University, Kyoto, Japan
| | - Hideaki Nakai
- Department of Occupational Therapy, Faculty of Health Science, Kyoto Tachibana University, Kyoto, Japan
| | - Ippei Kawasaki
- Department of Occupational Therapy, Faculty of Health Science, Kyoto Tachibana University, Kyoto, Japan
| | - Shun Harada
- Department of Occupational Therapy, Faculty of Health Science, Kyoto Tachibana University, Kyoto, Japan
| | - Ippei Suganuma
- Department of Occupational Therapy, Faculty of Health Science, Kyoto Tachibana University, Kyoto, Japan
| | - Noriyuki Ogawa
- Department of Occupational Therapy, Faculty of Health Science, Kyoto Tachibana University, Kyoto, Japan
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Rennie A, Ekman U, Shams S, Rydén L, Samuelsson J, Zettergren A, Kern S, Oppedal K, Blanc F, Hort J, Garcia-Ptacek S, Antonini A, Lemstra AW, Padovani A, Kramberger MG, Rektorová I, Walker Z, Snædal J, Pardini M, Taylor JP, Bonanni L, Granberg T, Aarsland D, Skoog I, Wahlund LO, Kivipelto M, Westman E, Ferreira D. Cerebrovascular and Alzheimer's disease biomarkers in dementia with Lewy bodies and other dementias. Brain Commun 2024; 6:fcae290. [PMID: 39291165 PMCID: PMC11406466 DOI: 10.1093/braincomms/fcae290] [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: 02/27/2024] [Revised: 07/05/2024] [Accepted: 09/05/2024] [Indexed: 09/19/2024] Open
Abstract
Co-pathologies are common in dementia with Lewy bodies and other dementia disorders. We investigated cerebrovascular and Alzheimer's disease co-pathologies in patients with dementia with Lewy bodies in comparison with patients with mild cognitive impairment, Alzheimer's disease, mixed dementia, vascular dementia or Parkinson's disease with dementia and cognitively unimpaired participants. We assessed the association of biomarkers of cerebrovascular and Alzheimer's disease co-pathologies with medial temporal atrophy and global cognitive performance. Additionally, we evaluated whether the findings were specific to dementia with Lewy bodies. We gathered a multi-cohort dataset of 4549 participants (dementia with Lewy bodies = 331, cognitively unimpaired = 1505, mild cognitive impairment = 1489, Alzheimer's disease = 708, mixed dementia = 268, vascular dementia = 148, Parkinson's disease with dementia = 120) from the MemClin Study, Karolinska Imaging in Dementia Study, Gothenburg H70 Birth Cohort Studies and the European DLB Consortium. Cerebrovascular co-pathology was assessed with visual ratings of white matter hyperintensities using the Fazekas scale through structural imaging. Alzheimer's disease biomarkers of β-amyloid and phosphorylated tau were assessed in the cerebrospinal fluid for a subsample (N = 2191). Medial temporal atrophy was assessed with visual ratings and global cognition with the mini-mental state examination. Differences and associations were assessed through regression models, including interaction terms. In dementia with Lewy bodies, 43% had a high white matter hyperintensity load, which was significantly higher than that in cognitively unimpaired (14%), mild cognitive impairment (26%) and Alzheimer's disease (27%), but lower than that in vascular dementia (62%). In dementia with Lewy bodies, white matter hyperintensities were associated with medial temporal atrophy, and the interaction term showed that this association was stronger than that in cognitively unimpaired and mixed dementia. However, the association between white matter hyperintensities and medial temporal atrophy was non-significant when β-amyloid was included in the model. Instead, β-amyloid predicted medial temporal atrophy in dementia with Lewy bodies, in contrast to the findings in mild cognitive impairment where medial temporal atrophy scores were independent of β-amyloid. Dementia with Lewy bodies had the lowest performance on global cognition, but this was not associated with white matter hyperintensities. In Alzheimer's disease, global cognitive performance was lower in patients with more white matter hyperintensities. We conclude that white matter hyperintensities are common in dementia with Lewy bodies and are associated with more atrophy in medial temporal lobes, but this association depended on β-amyloid-related pathology in our cohort. The associations between biomarkers were overall stronger in dementia with Lewy bodies than in some of the other diagnostic groups.
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Affiliation(s)
- Anna Rennie
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Urban Ekman
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, 171 77 Stockholm, Sweden
- Medical Unit, Allied Health Professionals Women´s Health, Karolinska University Hospital, 171 76 Stockholm, Sweden
| | - Sara Shams
- Department of Radiology, Karolinska University Hospital, 171 76 Stockholm, Sweden
- Department of Clinical Neuroscience, Karolinska Institutet, 171 77 Stockholm, Sweden
- Department of Radiology, Stanford University, Stanford, 94305-5105 CA, USA
| | - Lina Rydén
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, 431 41 Mölndal, Sweden
- Centre for Ageing and Health (AgeCap), University of Gothenburg, 413 46 Gothenburg, Sweden
| | - Jessica Samuelsson
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, 431 41 Mölndal, Sweden
- Centre for Ageing and Health (AgeCap), University of Gothenburg, 413 46 Gothenburg, Sweden
| | - Anna Zettergren
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, 431 41 Mölndal, Sweden
- Centre for Ageing and Health (AgeCap), University of Gothenburg, 413 46 Gothenburg, Sweden
| | - Silke Kern
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, 431 41 Mölndal, Sweden
- Centre for Ageing and Health (AgeCap), University of Gothenburg, 413 46 Gothenburg, Sweden
- Psychiatry, Cognition and Old Age Psychiatry Clinic, Region Västra Götaland, Sahlgrenska University Hospital, 431 41 Gothenburg, Sweden
| | - Ketil Oppedal
- Center for Age-Related Medicine, Stavanger University Hospital, 4011 Stavanger, Norway
- Stavanger Medical Imaging Laboratory (SMIL), Department of Radiology, Stavanger University Hospital, 4016 Stavanger, Norway
- The Norwegian Centre for Movement Disorders, Stavanger University Hospital, 4011 Stavanger, Norway
| | - Frédéric Blanc
- Day Hospital of Geriatrics, Memory Resource and Research Centre (CM2R) of Strasbourg, Department of Geriatrics, Hopitaux Universitaires de Strasbourg, 67098 Strasbourg, France
- ICube Laboratory and Federation de Medecine Translationnelle de Strasbourg (FMTS), University of Strasbourg and French National Centre for Scientific Research (CNRS), Team Imagerie Multimodale Integrative en Sante (IMIS)/ICONE, 67000 Strasbourg, France
| | - Jakub Hort
- Memory Clinic, Department of Neurology, Second Faculty of Medicine, Charles University and Motol University Hospital, 150 06 Prague, Czech Republic
| | - Sara Garcia-Ptacek
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, 171 77 Stockholm, Sweden
- Aging and Inflammation Theme, Karolinska University Hospital, 171 76 Stockholm, Sweden
| | - Angelo Antonini
- Parkinson and Movement Disorders Unit, Study Center on Neurodegeneration (CESNE), 35129 Padova, Italy
| | - Afina W Lemstra
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location Vumc, 1081 HV Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Vrije Universiteit Amsterdam, Amsterdam UMC location Vumc, 1081 HV Amsterdam, The Netherlands
| | - Alessandro Padovani
- Neurology Unit, Department of Clinical and Experimental Sciences (DSCS), University of Brescia, 25123 Brescia, Italy
| | - Milica Gregoric Kramberger
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, 171 77 Stockholm, Sweden
- Department of Neurology, University Medical Center, 1000 Ljubljana, Slovenia
- Medical Faculty, University of Ljubljana, 1000 Ljubljana, Slovenia
| | - Irena Rektorová
- Applied Neuroscience Research Group, CEITEC, Masaryk University, 625 00 Brno, Czech Republic
| | - Zuzana Walker
- Division of Psychiatry, University College London, W1T 7NF London, UK
- St Margaret's Hospital, Essex Partnership University NHS Foundation Trust, CM16 6TN Essex, UK
| | - Jón Snædal
- Memory Clinic, Landspitali, 105 Reykjavik, Iceland
| | - Matteo Pardini
- Department of Neurology, IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, 16132 Genoa, Italy
| | - John-Paul Taylor
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, NE1 7RU Newcastle upon Tyne, UK
| | - Laura Bonanni
- Department of Medicine, Aging Sciences University G. d'Annunzio of Chieti-Pescara Chieti, 66100 Chieti, Italy
| | - Tobias Granberg
- Department of Radiology, Karolinska University Hospital, 171 76 Stockholm, Sweden
- Department of Clinical Neuroscience, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Dag Aarsland
- Center for Age-Related Medicine, Stavanger University Hospital, 4011 Stavanger, Norway
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King's College London, SE5 8AF London, UK
| | - Ingmar Skoog
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, 431 41 Mölndal, Sweden
- Centre for Ageing and Health (AgeCap), University of Gothenburg, 413 46 Gothenburg, Sweden
- Psychiatry, Cognition and Old Age Psychiatry Clinic, Region Västra Götaland, Sahlgrenska University Hospital, 431 41 Gothenburg, Sweden
| | - Lars-Olof Wahlund
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Miia Kivipelto
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, 171 77 Stockholm, Sweden
- Aging and Inflammation Theme, Karolinska University Hospital, 171 76 Stockholm, Sweden
- Ageing Epidemiology Research Unit, School of Public Health, Imperial College London, SW7 2AZ London, UK
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, 70211 Kuopio, Finland
| | - Eric Westman
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, 171 77 Stockholm, Sweden
- Department of Neuroimaging, Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, SE5 8AF London, UK
| | - Daniel Ferreira
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, 171 77 Stockholm, Sweden
- Facultad de Ciencias de la Salud, Universidad Fernando Pessoa Canarias, 35016 Las Palmas, España
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Kiselica AM, Kaser AN, Weitzner DS, Mikula CM, Boone A, Woods SP, Wolf TJ, Webber TA. Development and Validity of Norms for Cognitive Dispersion on the Uniform Data Set 3.0 Neuropsychological Battery. Arch Clin Neuropsychol 2024; 39:732-746. [PMID: 38364295 PMCID: PMC11345113 DOI: 10.1093/arclin/acae005] [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: 05/16/2023] [Revised: 11/14/2023] [Accepted: 12/15/2023] [Indexed: 02/18/2024] Open
Abstract
OBJECTIVE Cognitive dispersion indexes intraindividual variability in performance across a battery of neuropsychological tests. Measures of dispersion show promise as markers of cognitive dyscontrol and everyday functioning difficulties; however, they have limited practical applicability due to a lack of normative data. This study aimed to develop and evaluate normed scores for cognitive dispersion among older adults. METHOD We analyzed data from 4,283 cognitively normal participants aged ≥50 years from the Uniform Data Set (UDS) 3.0. We describe methods for calculating intraindividual standard deviation (ISD) and coefficient of variation (CoV), as well as associated unadjusted scaled scores and demographically adjusted z-scores. We also examined the ability of ISD and CoV scores to differentiate between cognitively normal individuals (n = 4,283) and those with cognitive impairment due to Lewy body disease (n = 282). RESULTS We generated normative tables to map raw ISD and CoV scores onto a normal distribution of scaled scores. Cognitive dispersion indices were associated with age, education, and race/ethnicity but not sex. Regression equations were used to develop a freely accessible Excel calculator for deriving demographically adjusted normed scores for ISD and CoV. All measures of dispersion demonstrated excellent diagnostic utility when evaluated by the area under the curve produced from receiver operating characteristic curves. CONCLUSIONS Results of this study provide evidence for the clinical utility of sample-based and demographically adjusted normative standards for cognitive dispersion on the UDS 3.0. These standards can be used to guide interpretation of intraindividual variability among older adults in clinical and research settings.
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Affiliation(s)
- Andrew M Kiselica
- Department of Health Psychology, University of Missouri, Columbia, MO, USA
| | - Alyssa N Kaser
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | | | - Cynthia M Mikula
- Institute of Human Nutrition, Columbia University, New York, NY, USA
| | - Anna Boone
- Department of Occupational Therapy, University of Missouri, Columbia, MO, USA
| | | | - Timothy J Wolf
- Department of Occupational Therapy, University of Missouri, Columbia, MO, USA
| | - Troy A Webber
- Mental Health Care Line, Michael E. DeBakey VA Medical Center, Houston, TX, USA
- Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA
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370
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Ying C, Zhang H, Wang T, Li Y, Mao W, Hu S, Zhao L, Cai Y. Plasma level of alpha-synuclein oligomers as a biomarker for isolated rapid eye movement sleep behavior disorder diagnosis and progression: a prospective cohort study. Front Neurol 2024; 15:1442173. [PMID: 39246606 PMCID: PMC11377258 DOI: 10.3389/fneur.2024.1442173] [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: 06/01/2024] [Accepted: 08/15/2024] [Indexed: 09/10/2024] Open
Abstract
Background Alpha-synuclein oligomers (o-α-syn) are pivotal in the pathogenesis of α-synucleinopathy. Isolated rapid eye movement (REM) sleep behavior disorder (iRBD) serves as an early indicator of the disease, offering insights into disease mechanisms and early intervention. Nevertheless, the diagnostic and predictive potential of o-α-syn in iRBD remains largely unexplored. This study aimed to evaluate the plasma levels of o-α-syn in patients and investigate their utility as biomarkers for diagnosis of and predicting phenoconversion in iRBD. Methods A total of 143 participants, including 77 polysomnography-confirmed iRBD patients and 66 normal controls (NC), were recruited for this longitudinal observational study. Baseline clinical assessments and plasma collection were conducted for all iRBD patients, with 72 of them undergoing regularly prospective follow-up assessments for parkinsonism or dementia. Plasma levels of o-α-syn were quantified using enzyme-linked immunosorbent assay, and were compared between groups using a general linear model adjusted for age and sex. The diagnostic performance of plasma o-α-syn in iRBD was evaluated by area under the receiver operating characteristic curve (AUC) with 95% CI. Cox regression analysis and Kaplan-Meier survival curves were employed to assess the predictive value of plasma o-α-syn for phenoconversion in iRBD. Results Plasma o-α-syn levels did not exhibit statistically significant differences among iRBD converter patients, iRBD nonconverter patients, and NC. The AUC for distinguishing NC from iRBD was 0.52 (95% CI: 0.42-0.62, p = 0.682). Spearman correlation analysis revealed a significant positive correlation between plasma o-α-syn levels and MOCA scores in the iRBD group (p < 0.001). Subgroup analyses indicated that iRBD patients with cognitive decline (p = 0.058) and depressive symptoms (p = 0.017) had notably lower o-α-syn levels compared to those without such symptoms. Over a median follow-up period of 5.83 years, 26 iRBD patients developed neurodegenerative synucleinopathies. Cox regression and Kaplan-Meier survival curve analyses indicated that plasma level of o-α-syn lacked a predictive value for disease conversion in iRBD patients. Conclusion Despite a potential role in the pathophysiology of iRBD, o-α-syn are not appropriate biomarkers for diagnosing or predicting disease progression. While this study offers insights into the pathogenesis of iRBD and neurodegenerative synucleinopathies, further large-scale longitudinal studies are warranted to validate these findings.
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Affiliation(s)
- Chao Ying
- Department of Neurobiology, Xuanwu Hospital, Capital Medical University, Beijing, China
- Beijing Geriatric Medical Research Center, Beijing, China
- Key Laboratory for Neurodegenerative Diseases of the Ministry of Education, Beijing Key Laboratory on Parkinson's Disease, Parkinson's Disease Center for Beijing Institute on Brain Disorders, Clinical and Research Center for Parkinson's Disease of Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Disorders, Beijing, China
| | - Hui Zhang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Ting Wang
- Department of Rehabilitation, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China
| | - Yuan Li
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Wei Mao
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Songnian Hu
- Department of Neurobiology, Xuanwu Hospital, Capital Medical University, Beijing, China
- Beijing Geriatric Medical Research Center, Beijing, China
- Key Laboratory for Neurodegenerative Diseases of the Ministry of Education, Beijing Key Laboratory on Parkinson's Disease, Parkinson's Disease Center for Beijing Institute on Brain Disorders, Clinical and Research Center for Parkinson's Disease of Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Disorders, Beijing, China
| | - Lifang Zhao
- Beijing Geriatric Medical Research Center, Beijing, China
- Department of Clinical Biobank and Central Laboratory, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yanning Cai
- Department of Neurobiology, Xuanwu Hospital, Capital Medical University, Beijing, China
- Beijing Geriatric Medical Research Center, Beijing, China
- Key Laboratory for Neurodegenerative Diseases of the Ministry of Education, Beijing Key Laboratory on Parkinson's Disease, Parkinson's Disease Center for Beijing Institute on Brain Disorders, Clinical and Research Center for Parkinson's Disease of Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Disorders, Beijing, China
- Department of Clinical Biobank and Central Laboratory, Xuanwu Hospital, Capital Medical University, Beijing, China
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Shoemaker RL, Larsen RJ, Larsen PA. Single-domain antibodies and aptamers drive new opportunities for neurodegenerative disease research. Front Immunol 2024; 15:1426656. [PMID: 39238639 PMCID: PMC11374656 DOI: 10.3389/fimmu.2024.1426656] [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: 05/01/2024] [Accepted: 07/22/2024] [Indexed: 09/07/2024] Open
Abstract
Neurodegenerative diseases (NDs) in mammals, such as Alzheimer's disease (AD), Parkinson's disease (PD), and transmissible spongiform encephalopathies (TSEs), are characterized by the accumulation of misfolded proteins in the central nervous system (CNS). Despite the presence of these pathogenic proteins, the immune response in affected individuals remains notably muted. Traditional immunological strategies, particularly those reliant on monoclonal antibodies (mAbs), face challenges related to tissue penetration, blood-brain barrier (BBB) crossing, and maintaining protein stability. This has led to a burgeoning interest in alternative immunotherapeutic avenues. Notably, single-domain antibodies (or nanobodies) and aptamers have emerged as promising candidates, as their reduced size facilitates high affinity antigen binding and they exhibit superior biophysical stability compared to mAbs. Aptamers, synthetic molecules generated from DNA or RNA ligands, present both rapid production times and cost-effective solutions. Both nanobodies and aptamers exhibit inherent qualities suitable for ND research and therapeutic development. Cross-seeding events must be considered in both traditional and small-molecule-based immunodiagnostic and therapeutic approaches, as well as subsequent neurotoxic impacts and complications beyond protein aggregates. This review delineates the challenges traditional immunological methods pose in ND research and underscores the potential of nanobodies and aptamers in advancing next-generation ND diagnostics and therapeutics.
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Affiliation(s)
- Rachel L Shoemaker
- Minnesota Center for Prion Research and Outreach (MNPRO), University of Minnesota, St. Paul, MN, United States
- Department of Biomedical and Veterinary Sciences, University of Minnesota College of Veterinary Medicine, St. Paul, MN, United States
| | - Roxanne J Larsen
- Department of Biomedical and Veterinary Sciences, University of Minnesota College of Veterinary Medicine, St. Paul, MN, United States
- Priogen Corp., St. Paul, MN, United States
| | - Peter A Larsen
- Minnesota Center for Prion Research and Outreach (MNPRO), University of Minnesota, St. Paul, MN, United States
- Department of Biomedical and Veterinary Sciences, University of Minnesota College of Veterinary Medicine, St. Paul, MN, United States
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Jicha GA, Tucker TC, Arnold SM, Nelson PT. Cancer research provides a model for advancing clinical trials in dementia in the era of disease-modifying Alzheimer's-type dementia therapies. Alzheimers Res Ther 2024; 16:184. [PMID: 39164754 PMCID: PMC11337902 DOI: 10.1186/s13195-024-01532-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Accepted: 07/15/2024] [Indexed: 08/22/2024]
Abstract
Dementia and cancer are multifactorial, widely-feared, age-associated clinical syndromes that are increasing in prevalence. There have been major breakthroughs in clinical cancer research leading to some effective treatments, whereas the field of dementia has achieved comparatively limited success in clinical research. The lessons of cancer research may help those in the dementia research field in confronting some of the dilemmas faced when the clinical care regimen is not entirely safe or efficacious. Cancer clinical trials have assumed that untreated individuals with cancer are at high risk for morbidity and mortality after primary diagnoses. Thus, patients deserve a choice of clinical interventions, either standard of care or experimental, even if the benefits are not certain and the therapy's side effects are potentially severe. The prognosis for many individuals at risk for dementia carries a correspondingly high level of risk for both mortality and severe morbidity, particularly if one focuses on "health-span" rather than lifespan. Caregivers and patients can be strongly impacted by dementia and the many troubling associated symptoms that often go well beyond amnesia. Polls, surveys, and a literature on "dementia worry" strongly underscore that the public fears dementia. While there are institutional and industry hurdles that complicate enrollment in randomized trials, the gravity of the future morbidity and mortality inherent in a dementia diagnosis may require reconsideration of the current protective stance that limits the freedom of at-risk individuals (either symptomatic or asymptomatic) to participate and potentially benefit from ongoing clinical research. There is also evidence from both cancer and dementia research that individuals enrolled in the placebo arms of clinical trials have unexpectedly good outcomes, indicating that participation in clinical trial can have medical benefits to enrollees. To highlight aspects of cancer clinical research that may inform present and future dementia clinical research, this review highlights three main themes: the risk of side effects should be weighed against the often dire consequences of non-treatment; the desirability of long-term incremental (rather than "magic bullet") clinical advances; and, the eventual importance of combination therapies, reflecting that the dementia clinical syndrome has many underlying biological pathways.
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Affiliation(s)
- Gregory A Jicha
- Department of Neurology, University of Kentucky, Lexington, KY, USA
- Sanders-Brown Center On Aging, University of Kentucky, Lexington, KY, USA
| | - Thomas C Tucker
- College of Public Health, University of Kentucky, Lexington, KY, USA
- Markey Cancer Center, University of Kentucky, Lexington, KY, USA
| | - Susanne M Arnold
- Department of Internal Medicine, University of Kentucky, Lexington, KY, USA
- Markey Cancer Center, University of Kentucky, Lexington, KY, USA
| | - Peter T Nelson
- Department of Pathology and Laboratory Medicine, University of Kentucky, Rm 575 Lee Todd Bldg, 789 S. Limestone Ave, Lexington, KY, 40536, USA.
- Sanders-Brown Center On Aging, University of Kentucky, Lexington, KY, USA.
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Tisserand A, Blanc F, Muller C, Durand H, Demuynck C, Ravier A, Sanna L, de Sousa PL, Botzung A, Mondino M, Philippi N. Neuroimaging of autobiographical memory in dementia with Lewy bodies: a story of insula. Brain Commun 2024; 6:fcae272. [PMID: 39210911 PMCID: PMC11358644 DOI: 10.1093/braincomms/fcae272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Revised: 06/17/2024] [Accepted: 08/19/2024] [Indexed: 09/04/2024] Open
Abstract
Although deficits in learning and retrieving new information are well characterized in dementia with Lewy bodies, autobiographical memory has never been explored in this disease. Yet, autobiographical memory impairments are a pervasive feature of dementia, well characterized in other neurodegenerative diseases. Moreover, autobiographical memory corresponds to an extension over time of the self, which we hypothesize is altered in dementia with Lewy bodies and impairment of which could be linked to the insular atrophy occurring from an early stage of the disease. In this study, we sought to characterize autobiographical memory impairments and explore their neural correlates in dementia with Lewy bodies, on the assumption that insular damage could impact the self, including its most elaborate components, such as autobiographical memory. Twenty patients with prodromal to mild dementia with Lewy bodies were selected to participate in this exploratory study along with 20 healthy control subjects. The Autobiographical Interview was used to assess autobiographical memory. Performances were compared between patients and control subjects, and an analysis across life periods and recall conditions was performed. 3D magnetic resonance images were acquired for all participants, and correlational analyses were performed in the patient group using voxel-based morphometry. The behavioural results of the Autobiographical Interview showed that autobiographical memory performances were significantly impaired in dementia with Lewy body patients compared to control subjects in a temporally ungraded manner, for both the free recall and the specific probe conditions (P < 0.0001), though with greater improvement after probing in the patient group. Furthermore, autobiographical memory impairments were correlated with grey matter volume within right insular cortex, temporoparietal junction, precuneus, putamen, left temporal cortex, bilateral parahippocampus and cerebellum, using a threshold of P = 0.005 uncorrected. The behavioural results confirm the existence of temporally ungraded autobiographical memory impairments in dementia with Lewy bodies, from the early stage of the disease. As we expected, neuroimaging analysis revealed a role for the insula and the precuneus in autobiographical memory retrieval, two regions associated with elementary aspects of the self, among other brain regions classically associated with autobiographical memory, such as medial temporal lobe and temporoparietal junction. Our findings provide important insights regarding the involvement of the insula in the self and suggest that insular damage could lead to a global collapse of the self, including its more elaborated components, such as autobiographical memory.
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Affiliation(s)
- Alice Tisserand
- ICube Laboratory UMR 7357 and FMTS (Fédération de Médecine Translationnelle de Strasbourg), IMIS Team and IRIS Platform, University of Strasbourg and CNRS, 67000 Strasbourg, France
- CM2R (Research and Resources Memory Centre), Geriatric Day Hospital and Neuropsychology Unit, Geriatrics Department and Neurology Service, University Hospitals of Strasbourg, 67000 Strasbourg, France
| | - Frédéric Blanc
- ICube Laboratory UMR 7357 and FMTS (Fédération de Médecine Translationnelle de Strasbourg), IMIS Team and IRIS Platform, University of Strasbourg and CNRS, 67000 Strasbourg, France
- CM2R (Research and Resources Memory Centre), Geriatric Day Hospital and Neuropsychology Unit, Geriatrics Department and Neurology Service, University Hospitals of Strasbourg, 67000 Strasbourg, France
| | - Candice Muller
- CM2R (Research and Resources Memory Centre), Geriatric Day Hospital and Neuropsychology Unit, Geriatrics Department and Neurology Service, University Hospitals of Strasbourg, 67000 Strasbourg, France
| | - Hélène Durand
- CM2R (Research and Resources Memory Centre), Geriatric Day Hospital and Neuropsychology Unit, Geriatrics Department and Neurology Service, University Hospitals of Strasbourg, 67000 Strasbourg, France
| | - Catherine Demuynck
- CM2R (Research and Resources Memory Centre), Geriatric Day Hospital and Neuropsychology Unit, Geriatrics Department and Neurology Service, University Hospitals of Strasbourg, 67000 Strasbourg, France
| | - Alix Ravier
- CM2R (Research and Resources Memory Centre), Geriatric Day Hospital and Neuropsychology Unit, Geriatrics Department and Neurology Service, University Hospitals of Strasbourg, 67000 Strasbourg, France
| | - Léa Sanna
- CM2R (Research and Resources Memory Centre), Geriatric Day Hospital and Neuropsychology Unit, Geriatrics Department and Neurology Service, University Hospitals of Strasbourg, 67000 Strasbourg, France
| | - Paulo Loureiro de Sousa
- ICube Laboratory UMR 7357 and FMTS (Fédération de Médecine Translationnelle de Strasbourg), IMIS Team and IRIS Platform, University of Strasbourg and CNRS, 67000 Strasbourg, France
| | - Anne Botzung
- CM2R (Research and Resources Memory Centre), Geriatric Day Hospital and Neuropsychology Unit, Geriatrics Department and Neurology Service, University Hospitals of Strasbourg, 67000 Strasbourg, France
| | - Mary Mondino
- ICube Laboratory UMR 7357 and FMTS (Fédération de Médecine Translationnelle de Strasbourg), IMIS Team and IRIS Platform, University of Strasbourg and CNRS, 67000 Strasbourg, France
| | - Nathalie Philippi
- ICube Laboratory UMR 7357 and FMTS (Fédération de Médecine Translationnelle de Strasbourg), IMIS Team and IRIS Platform, University of Strasbourg and CNRS, 67000 Strasbourg, France
- CM2R (Research and Resources Memory Centre), Geriatric Day Hospital and Neuropsychology Unit, Geriatrics Department and Neurology Service, University Hospitals of Strasbourg, 67000 Strasbourg, France
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Hart de Ruyter FJ, Evers MJAP, Morrema THJ, Dijkstra AA, den Haan J, Twisk JWR, de Boer JF, Scheltens P, Bouwman FH, Verbraak FD, Rozemuller AJ, Hoozemans JJM. Neuropathological hallmarks in the post-mortem retina of neurodegenerative diseases. Acta Neuropathol 2024; 148:24. [PMID: 39160362 PMCID: PMC11333524 DOI: 10.1007/s00401-024-02769-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: 01/30/2024] [Revised: 07/14/2024] [Accepted: 07/14/2024] [Indexed: 08/21/2024]
Abstract
The retina is increasingly recognised as a potential source of biomarkers for neurodegenerative diseases. Hallmark protein aggregates in the retinal neuronal tissue could be imaged through light non-invasively. Post-mortem studies have already shown the presence of specific hallmark proteins in Alzheimer's disease, primary tauopathies, synucleinopathies and frontotemporal lobar degeneration. This study aims to assess proteinopathy in a post-mortem cohort with different neurodegenerative diseases and assess the presence of the primary pathology in the retina. Post-mortem eyes were collected in collaboration with the Netherlands Brain Bank from donors with Alzheimer's disease (n = 17), primary tauopathies (n = 8), synucleinopathies (n = 27), frontotemporal lobar degeneration (n = 8), mixed pathology (n = 11), other neurodegenerative diseases (n = 6), and cognitively normal controls (n = 25). Multiple cross sections of the retina and optic nerve tissue were immunostained using antibodies against pTau Ser202/Thr205 (AT8), amyloid-beta (4G8), alpha-synuclein (LB509), pTDP-43 Ser409/410 and p62-lck ligand (p62) and were assessed for the presence of aggregates and inclusions. pTau pathology was observed as a diffuse signal in Alzheimer's disease, primary tauopathies and controls with Alzheimer's disease neuropathological changes. Amyloid-beta was observed in the vessel wall and as cytoplasmic granular deposits in all groups. Alpha-synuclein pathology was observed as Lewy neurites in the retina in synucleinopathies associated with Lewy pathology and as oligodendroglial cytoplasmic inclusions in the optic nerve in multiple system atrophy. Anti-pTDP-43 generally showed typical neuronal cytoplasmic inclusion bodies in cases with frontotemporal lobar degeneration with TDP-43 and also in cases with later stages of limbic-associated TDP-43 encephalopathy. P62 showed inclusion bodies similar to those seen with anti-pTDP-43. Furthermore, pTau and alpha-synuclein pathology were significantly associated with increasing Braak stages for neurofibrillary tangles and Lewy bodies, respectively. Mixed pathology cases in this cohort consisted of cases (n = 6) with high Braak LB stages (> 4) and low or moderate AD pathology, high AD pathology (n = 1, Braak NFT 6, Thal phase 5) with moderate LB pathology, or a combination of low/moderate scores for different pathology scores in the brain (n = 4). There were no cases with advanced co-pathologies. In seven cases with Braak LB ≥ 4, LB pathology was observed in the retina, while tau pathology in the retina in the mixed pathology group (n = 11) could not be observed. From this study, we conclude that the retina reflects the presence of the major hallmark proteins associated with neurodegenerative diseases. Although low or moderate levels of copathology were found in the brains of most cases, the retina primarily manifested protein aggregates associated with the main neurodegenerative disease. These findings indicate that with appropriate retinal imaging techniques, retinal biomarkers have the potential to become highly accurate indicators for diagnosing the major neurodegenerative diseases of the brain.
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Affiliation(s)
- Frederique J Hart de Ruyter
- Amsterdam UMC, Vrije Universiteit Amsterdam, Pathology, Amsterdam Neuroscience, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.
- Amsterdam UMC, Vrije Universiteit Amsterdam, Alzheimer Center Amsterdam, Neurology, De Boelelaan 1117, Amsterdam, The Netherlands.
| | - Manon J A P Evers
- Amsterdam UMC, Vrije Universiteit Amsterdam, Pathology, Amsterdam Neuroscience, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Tjado H J Morrema
- Amsterdam UMC, Vrije Universiteit Amsterdam, Pathology, Amsterdam Neuroscience, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Anke A Dijkstra
- Amsterdam UMC, Vrije Universiteit Amsterdam, Pathology, Amsterdam Neuroscience, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Jurre den Haan
- Amsterdam UMC, Vrije Universiteit Amsterdam, Alzheimer Center Amsterdam, Neurology, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Jos W R Twisk
- Epidemiology and Data Science, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Johannes F de Boer
- LaserLaB, Physics and Astronomy, Vrije Universiteit Amsterdam, De Boelelaan 1081, Amsterdam, The Netherlands
| | - Philip Scheltens
- Amsterdam UMC, Vrije Universiteit Amsterdam, Alzheimer Center Amsterdam, Neurology, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Femke H Bouwman
- Amsterdam UMC, Vrije Universiteit Amsterdam, Alzheimer Center Amsterdam, Neurology, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Frank D Verbraak
- Amsterdam UMC, Vrije Universiteit Amsterdam, Ophthalmology, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Annemieke J Rozemuller
- Amsterdam UMC, Vrije Universiteit Amsterdam, Pathology, Amsterdam Neuroscience, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.
| | - Jeroen J M Hoozemans
- Amsterdam UMC, Vrije Universiteit Amsterdam, Pathology, Amsterdam Neuroscience, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
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375
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Villareal JAB, Bathe T, Hery GP, Phillips JL, Tsering W, Prokop S. Deterioration of neuroimmune homeostasis in Alzheimer's Disease patients who survive a COVID-19 infection. J Neuroinflammation 2024; 21:202. [PMID: 39154174 PMCID: PMC11330027 DOI: 10.1186/s12974-024-03196-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2024] [Accepted: 08/06/2024] [Indexed: 08/19/2024] Open
Abstract
Growing evidence has implicated systemic infection as a significant risk factor for the development and advancement of Alzheimer's disease (AD). With the emergence of SARS-CoV-2 (COVID-19) and the resultant pandemic, many individuals from the same aging population vulnerable to AD suffered a severe systemic infection with potentially unidentified long-term consequences for survivors. To study the impact of COVID-19 survival on the brain's intrinsic immune system in a population also suffering from AD, we profiled post-mortem brain tissue from patients in the UF Neuromedicine Human Brain and Tissue Bank with a diagnosis of AD who survived a COVID-19 infection (COVID-AD) and contrasted our findings with AD patients who did not experience a COVID-19 infection, including a group of brain donors who passed away before arrival of SARS-CoV-2 in the United States. We assessed disease-relevant protein pathology and microglial and astrocytic markers by quantitative immunohistochemistry and supplemented these data with whole tissue gene expression analysis performed on the NanoString nCounter® platform. COVID-AD patients showed slightly elevated Aβ burden in the entorhinal, fusiform, and inferior temporal cortices compared to non-COVID-AD patients, while tau pathology burden did not differ between groups. Analysis of microglia revealed a significant loss of microglial homeostasis as well as exacerbated microgliosis in COVID-AD patients compared to non-COVID-AD patients in a brain region-dependent manner. Furthermore, COVID-AD patients showed reduced cortical astrocyte numbers, independent of functional subtype. Transcriptomic analysis supported these histological findings and, in addition, identified a dysregulation of oligodendrocyte and myelination pathways in the hippocampus of COVID-AD patients. In summary, our data demonstrate a profound impact of COVID-19 infection on neuroimmune and glial pathways in AD patients persisting for months post-infection, highlighting the importance of peripheral to central neuroimmune crosstalk in neurodegenerative diseases.
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Affiliation(s)
- Jonathan A B Villareal
- Department of Pathology, Immunology & Laboratory Medicine, University of Florida, Gainesville, FL, 32610, USA
- Center for Translational Research in Neurodegenerative Disease, University of Florida, Gainesville, FL, 32610, USA
| | - Tim Bathe
- Department of Pathology, Immunology & Laboratory Medicine, University of Florida, Gainesville, FL, 32610, USA
- Center for Translational Research in Neurodegenerative Disease, University of Florida, Gainesville, FL, 32610, USA
- McKnight Brain Institute, University of Florida, Gainesville, FL, 32610, USA
| | - Gabriela P Hery
- Department of Small Animal Clinical Sciences, College of Veterinary Medicine, University of Florida, Gainesville, FL, 32608, USA
| | - Jennifer L Phillips
- Department of Pathology, Immunology & Laboratory Medicine, University of Florida, Gainesville, FL, 32610, USA
- Center for Translational Research in Neurodegenerative Disease, University of Florida, Gainesville, FL, 32610, USA
| | - Wangchen Tsering
- Department of Pathology, Immunology & Laboratory Medicine, University of Florida, Gainesville, FL, 32610, USA
- Center for Translational Research in Neurodegenerative Disease, University of Florida, Gainesville, FL, 32610, USA
- Department of Neuroscience, University of Florida, Gainesville, FL, 32610, USA
- McKnight Brain Institute, University of Florida, Gainesville, FL, 32610, USA
| | - Stefan Prokop
- Department of Pathology, Immunology & Laboratory Medicine, University of Florida, Gainesville, FL, 32610, USA.
- Center for Translational Research in Neurodegenerative Disease, University of Florida, Gainesville, FL, 32610, USA.
- Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, 32608, USA.
- McKnight Brain Institute, University of Florida, Gainesville, FL, 32610, USA.
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376
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Cohen JS, Radhakrishnan H, Olm CA, Das SR, Cook PA, Wolk DA, Weintraub D, Irwin DJ, McMillan CT. Microstructural changes in the inferior tuberal hypothalamus correlate with daytime sleepiness in Lewy body disease. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.08.16.24312102. [PMID: 39185524 PMCID: PMC11343243 DOI: 10.1101/2024.08.16.24312102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 08/27/2024]
Abstract
Background Excessive daytime sleepiness (EDS) is a disabling symptom of Lewy body disorders (LBD). The hypothalamus is a key sleep-wake regulator, but its contribution to EDS in LBD remains unclear. Objectives Use diffusion MRI to evaluate the relationship of hypothalamic microstructure to EDS symptoms in LBD. Methods We studied 102 patients with clinically-defined LBD (Parkinson's disease, n=93; Parkinson's disease dementia, n=4; and dementia with Lewy bodies, n=5) and Epworth Sleepiness Scale (ESS) within 2 years of MRI. Mean diffusivity (MD) was compared between EDS+ (ESS≥10, n=37) and EDS- (ESS<10, n=65) groups in the whole hypothalamus and three subregions, covarying for age and sex. Secondary analyses tested correlations between subregion MD and continuous ESS, global cognition, and motor scores; and between subregion volume and continuous ESS. Results MD was increased in EDS+ compared to EDS- only in the inferior tuberal subregion (Cohen's d=0.43, p=0.043, β=0.117±0.057), with trend level differences in the whole hypothalamus (Cohen's d=0.39, p=0.064, β=0.070±0.037) and superior tuberal subregion (Cohen's d=0.38, p=0.073, β=0.063±0.035). No difference was seen in the posterior subregion (Cohen's d=0.1, p=0.628, β=0.019±0.038). Significant correlations with continuous ESS were seen in MD of whole hypothalamus (r2=0.074, p=0.0057), superior tuberal (r2=0.081, p=0.0038), and inferior tuberal (r2=0.073, p=0.0059) subregions. There was no correlation of hypothalamic MD with global cognition or motor scores, and no correlation of whole/subregional hypothalamic volumes with ESS. Conclusions Daytime sleepiness associates with increased MD in the inferior tuberal hypothalamus in an LBD cohort. This suggests degeneration within this region could contribute to EDS symptoms.
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377
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Shir D, Corriveau-Lecavalier N, Bermudez Noguera C, Barnard L, Pham NTT, Botha H, Duffy JR, Clark HM, Utianski RL, Knopman DS, Petersen RC, Boeve BF, Murray ME, Nguyen AT, Reichard RR, Dickson DW, Day GS, Kremers WK, Graff-Radford NR, Jones DT, Machulda MM, Fields JA, Whitwell JL, Josephs KA, Graff-Radford J. Clinicoradiological and neuropathological evaluation of primary progressive aphasia. J Neurol Neurosurg Psychiatry 2024; 95:812-821. [PMID: 38514176 PMCID: PMC11330364 DOI: 10.1136/jnnp-2023-332862] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Accepted: 02/28/2024] [Indexed: 03/23/2024]
Abstract
BACKGROUND Primary progressive aphasia (PPA) defines a group of neurodegenerative disorders characterised by language decline. Three PPA variants correlate with distinct underlying pathologies: semantic variant PPA (svPPA) with transactive response DNA-binding protein of 43 kD (TDP-43) proteinopathy, agrammatic variant PPA (agPPA) with tau deposition and logopenic variant PPA (lvPPA) with Alzheimer's disease (AD). Our objectives were to differentiate PPA variants using clinical and neuroimaging features, assess progression and evaluate structural MRI and a novel 18-F fluorodeoxyglucose positron emission tomography (FDG-PET) image decomposition machine learning algorithm for neuropathology prediction. METHODS We analysed 82 autopsied patients diagnosed with PPA from 1998 to 2022. Clinical histories, language characteristics, neuropsychological results and brain imaging were reviewed. A machine learning framework using a k-nearest neighbours classifier assessed FDG-PET scans from 45 patients compared with a large reference database. RESULTS PPA variant distribution: 35 lvPPA (80% AD), 28 agPPA (89% tauopathy) and 18 svPPA (72% frontotemporal lobar degeneration-TAR DNA-binding protein (FTLD-TDP)). Apraxia of speech was associated with 4R-tauopathy in agPPA, while pure agrammatic PPA without apraxia was linked to 3R-tauopathy. Longitudinal data revealed language dysfunction remained the predominant deficit for patients with lvPPA, agPPA evolved to corticobasal or progressive supranuclear palsy syndrome (64%) and svPPA progressed to behavioural variant frontotemporal dementia (44%). agPPA-4R-tauopathy exhibited limited pre-supplementary motor area atrophy, lvPPA-AD displayed temporal atrophy extending to the superior temporal sulcus and svPPA-FTLD-TDP had severe temporal pole atrophy. The FDG-PET-based machine learning algorithm accurately predicted clinical diagnoses and underlying pathologies. CONCLUSIONS Distinguishing 3R-taupathy and 4R-tauopathy in agPPA may rely on apraxia of speech presence. Additional linguistic and clinical features can aid neuropathology prediction. Our data-driven brain metabolism decomposition approach effectively predicts underlying neuropathology.
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Affiliation(s)
- Dror Shir
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | | | | | - Leland Barnard
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Hugo Botha
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | - Joseph R Duffy
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | - Heather M Clark
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | - Rene L Utianski
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | - David S Knopman
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | - Ronald C Petersen
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
- Department of Quantitative Health Sciences, Mayo Clinic Rochester, Rochester, Minnesota, USA
| | - Bradley F Boeve
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | - Melissa E Murray
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida, USA
| | - Aivi T Nguyen
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
| | - R Ross Reichard
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
| | - Dennis W Dickson
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida, USA
| | - Gregory S Day
- Department of Neurology, Mayo Clinic, Jacksonville, Florida, USA
| | - Walter K Kremers
- Department of Quantitative Health Sciences, Mayo Clinic Rochester, Rochester, Minnesota, USA
| | | | - David T Jones
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | - Mary M Machulda
- Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota, USA
| | - Julie A Fields
- Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Keith A Josephs
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
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378
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Muñoz-Lopetegi A, Baiardi S, Balasa M, Mammana A, Mayà G, Rossi M, Serradell M, Zenesini C, Ticca A, Santamaria J, Dellavalle S, Gaig C, Iranzo A, Parchi P. CSF markers of neurodegeneration Alzheimer's and Lewy body pathology in isolated REM sleep behavior disorder. NPJ Parkinsons Dis 2024; 10:157. [PMID: 39147825 PMCID: PMC11327307 DOI: 10.1038/s41531-024-00770-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Accepted: 07/26/2024] [Indexed: 08/17/2024] Open
Abstract
We investigated the biomarker profile of neurodegeneration, Alzheimer's and Lewy body pathology in the CSF of 148 polysomnography-confirmed patients with isolated REM sleep behavior disorder (IRBD), a condition that precedes Parkinson's disease (PD) and dementia with Lewy bodies (DLB). We assessed misfolded α-synuclein (AS) by RT-QuIC assay, amyloid-beta peptides (Aβ42 and Aβ40), phosphorylated tau (p-tau), and total tau (t-tau) by CLEIA and neurofilament light chain (NfL) by ELISA. We detected AS in 75.3% of patients, pathologically decreased Aβ42/Aβ40 ratio in 22.5%, increased p-tau in 15.5%, increased t-tau in 14.9%, and elevated NfL in 14.7%. After a mean follow-up of 2.48 ± 2.75 years, 47 (38.1%) patients developed PD (n = 24) or DLB (n = 23). At CSF collection, AS positivity [HR 4.05 (1.26-12.99), p = 0.019], mild cognitive impairment [3.86 (1.96-7.61), p < 0.001], and abnormal DAT-SPECT [2.31 (1.09-4.91), p < 0.030] were independent predictors of conversion to PD and DLB. Among the other CSF markers, only elevated p-tau/Aβ42 was predictive of conversion, although only to DLB and not as an independent variable. In IRBD, CSF AS assessment by RT-QuIC provides an added value in defining the risk of short-term conversion to PD and DLB independent of clinical and instrumental investigations. Positive Alzheimer's disease (AD) pathology markers and elevated NfL occur in a subgroup of patients, but p-tau/Aβ42 is the only marker that predicts short-term conversion to DLB. Longer follow-up is needed to assess if AD biomarkers predict the later development of PD and DLB in IRBD.
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Affiliation(s)
- Amaia Muñoz-Lopetegi
- Neurology Service, Sleep Unit, Hospital Clínic Barcelona, Universitat de Barcelona, IDIBAPS, CIBERNED, Barcelona, Spain
| | - Simone Baiardi
- IRCCS, Istituto delle Scienze Neurologiche di Bologna (ISNB), Bologna, Italy
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Mircea Balasa
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic Barcelona, Barcelona, Spain
| | - Angela Mammana
- IRCCS, Istituto delle Scienze Neurologiche di Bologna (ISNB), Bologna, Italy
| | - Gerard Mayà
- Neurology Service, Sleep Unit, Hospital Clínic Barcelona, Universitat de Barcelona, IDIBAPS, CIBERNED, Barcelona, Spain
| | - Marcello Rossi
- IRCCS, Istituto delle Scienze Neurologiche di Bologna (ISNB), Bologna, Italy
| | - Mónica Serradell
- Neurology Service, Sleep Unit, Hospital Clínic Barcelona, Universitat de Barcelona, IDIBAPS, CIBERNED, Barcelona, Spain
| | - Corrado Zenesini
- IRCCS, Istituto delle Scienze Neurologiche di Bologna (ISNB), Bologna, Italy
| | - Alice Ticca
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Joan Santamaria
- Neurology Service, Sleep Unit, Hospital Clínic Barcelona, Universitat de Barcelona, IDIBAPS, CIBERNED, Barcelona, Spain
| | - Sofia Dellavalle
- IRCCS, Istituto delle Scienze Neurologiche di Bologna (ISNB), Bologna, Italy
| | - Carles Gaig
- Neurology Service, Sleep Unit, Hospital Clínic Barcelona, Universitat de Barcelona, IDIBAPS, CIBERNED, Barcelona, Spain
| | - Alex Iranzo
- Neurology Service, Sleep Unit, Hospital Clínic Barcelona, Universitat de Barcelona, IDIBAPS, CIBERNED, Barcelona, Spain.
| | - Piero Parchi
- IRCCS, Istituto delle Scienze Neurologiche di Bologna (ISNB), Bologna, Italy.
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.
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379
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Sacchi L, D'Agata F, Campisi C, Arcaro M, Carandini T, Örzsik B, Dal Maschio VP, Fenoglio C, Pietroboni AM, Ghezzi L, Serpente M, Pintus M, Conte G, Triulzi F, Lopiano L, Galimberti D, Cercignani M, Bozzali M, Arighi A. A "glympse" into neurodegeneration: Diffusion MRI and cerebrospinal fluid aquaporin-4 for the assessment of glymphatic system in Alzheimer's disease and other dementias. Hum Brain Mapp 2024; 45:e26805. [PMID: 39185685 PMCID: PMC11345637 DOI: 10.1002/hbm.26805] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2024] [Revised: 06/17/2024] [Accepted: 07/17/2024] [Indexed: 08/27/2024] Open
Abstract
The glymphatic system (GS) is a whole-brain perivascular network, consisting of three compartments: the periarterial and perivenous spaces and the interposed brain parenchyma. GS dysfunction has been implicated in neurodegenerative diseases, particularly Alzheimer's disease (AD). So far, comprehensive research on GS in humans has been limited by the absence of easily accessible biomarkers. Recently, promising non-invasive methods based on magnetic resonance imaging (MRI) along with aquaporin-4 (AQP4) quantification in the cerebrospinal fluid (CSF) were introduced for an indirect assessment of each of the three GS compartments. We recruited 111 consecutive subjects presenting with symptoms suggestive of degenerative cognitive decline, who underwent 3 T MRI scanning including multi-shell diffusion-weighted images. Forty nine out of 111 also underwent CSF examination with quantification of CSF-AQP4. CSF-AQP4 levels and MRI measures-including perivascular spaces (PVS) counts and volume fraction (PVSVF), white matter free water fraction (FW-WM) and mean kurtosis (MK-WM), diffusion tensor imaging analysis along the perivascular spaces (DTI-ALPS) (mean, left and right)-were compared among patients with AD (n = 47) and other neurodegenerative diseases (nAD = 24), patients with stable mild cognitive impairment (MCI = 17) and cognitively unimpaired (CU = 23) elderly people. Two runs of analysis were conducted, the first including all patients; the second after dividing both nAD and AD patients into two subgroups based on gray matter atrophy as a proxy of disease stage. Age, sex, years of education, and scanning time were included as confounding factors in the analyses. Considering the whole cohort, patients with AD showed significantly higher levels of CSF-AQP4 (exp(b) = 2.05, p = .005) and FW-WM FW-WM (exp(b) = 1.06, p = .043) than CU. AQP4 levels were also significantly higher in nAD in respect to CU (exp(b) = 2.98, p < .001). CSF-AQP4 and FW-WM were significantly higher in both less atrophic AD (exp(b) = 2.20, p = .006; exp(b) = 1.08, p = .019, respectively) and nAD patients (exp(b) = 2.66, p = .002; exp(b) = 1.10, p = .019, respectively) compared to CU subjects. Higher total (exp(b) = 1.59, p = .013) and centrum semiovale PVS counts (exp(b) = 1.89, p = .016), total (exp(b) = 1.50, p = .036) and WM PVSVF (exp(b) = 1.89, p = .005) together with lower MK-WM (exp(b) = 0.94, p = .006), mean and left ALPS (exp(b) = 0.91, p = .043; exp(b) = 0.88, p = .010 respectively) were observed in more atrophic AD patients in respect to CU. In addition, more atrophic nAD patients exhibited higher levels of AQP4 (exp(b) = 3.39, p = .002) than CU. Our results indicate significant changes in putative MRI biomarkers of GS and CSF-AQP4 levels in AD and in other neurodegenerative dementias, suggesting a close interaction between glymphatic dysfunction and neurodegeneration, particularly in the case of AD. However, the usefulness of some of these biomarkers as indirect and standalone indices of glymphatic activity may be hindered by their dependence on disease stage and structural brain damage.
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Affiliation(s)
- Luca Sacchi
- Department of Biomedical, Surgical and Dental SciencesUniversity of MilanMilanItaly
| | - Federico D'Agata
- Department of Neurosciences “Rita Levi Montalcini”University of TurinTurinItaly
| | - Corrado Campisi
- Department of Neurosciences “Rita Levi Montalcini”University of TurinTurinItaly
| | - Marina Arcaro
- Fondazione IRCCS Ca' Granda, Ospedale Maggiore PoliclinicoMilanItaly
| | - Tiziana Carandini
- Fondazione IRCCS Ca' Granda, Ospedale Maggiore PoliclinicoMilanItaly
| | - Balázs Örzsik
- Department of RadiologyLeiden University Medical CenterLeidenThe Netherlands
| | - Vera Pacoova Dal Maschio
- Department of Neurosciences “Rita Levi Montalcini”University of TurinTurinItaly
- Neurology 2 Unit, A.O.U. Città della Salute e Della Scienza di TorinoTurinItaly
| | - Chiara Fenoglio
- Department of Biomedical, Surgical and Dental SciencesUniversity of MilanMilanItaly
| | | | - Laura Ghezzi
- Department of Biomedical, Surgical and Dental SciencesUniversity of MilanMilanItaly
| | - Maria Serpente
- Fondazione IRCCS Ca' Granda, Ospedale Maggiore PoliclinicoMilanItaly
| | - Manuela Pintus
- Fondazione IRCCS Ca' Granda, Ospedale Maggiore PoliclinicoMilanItaly
| | - Giorgio Conte
- Fondazione IRCCS Ca' Granda, Ospedale Maggiore PoliclinicoMilanItaly
- Department of Pathophysiology and TransplantationUniversity of MilanMilanItaly
| | - Fabio Triulzi
- Fondazione IRCCS Ca' Granda, Ospedale Maggiore PoliclinicoMilanItaly
- Department of Pathophysiology and TransplantationUniversity of MilanMilanItaly
| | - Leonardo Lopiano
- Department of Neurosciences “Rita Levi Montalcini”University of TurinTurinItaly
- Neurology 2 Unit, A.O.U. Città della Salute e Della Scienza di TorinoTurinItaly
| | - Daniela Galimberti
- Department of Biomedical, Surgical and Dental SciencesUniversity of MilanMilanItaly
| | | | - Marco Bozzali
- Department of Neurosciences “Rita Levi Montalcini”University of TurinTurinItaly
- Neurology 2 Unit, A.O.U. Città della Salute e Della Scienza di TorinoTurinItaly
| | - Andrea Arighi
- Fondazione IRCCS Ca' Granda, Ospedale Maggiore PoliclinicoMilanItaly
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Coughlin DG, MacLeod KR, Middleton JS, Bozoki AC, Galvin JE, Irwin DJ, Lippa CF, Litvan I, Lopez OL, Berman S, Tsuang DW, Zabetian CP, Honig LS, Marder KS, Fleisher JE, Sabbagh M, Wint D, Taylor AS, Bekris L, Leverenz JB, Galasko D. Association of CSF α-Synuclein Seeding Amplification Assay Results With Clinical Features of Possible and Probable Dementia With Lewy Bodies. Neurology 2024; 103:e209656. [PMID: 39013126 PMCID: PMC11238940 DOI: 10.1212/wnl.0000000000209656] [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: 01/08/2024] [Accepted: 05/28/2024] [Indexed: 07/18/2024] Open
Abstract
BACKGROUND AND OBJECTIVES The clinical diagnosis of dementia with Lewy bodies (DLB) depends on identifying significant cognitive decline accompanied by core features of parkinsonism, visual hallucinations, cognitive fluctuations, and REM sleep behavior disorder (RBD). Hyposmia is one of the several supportive features. α-Synuclein seeding amplification assays (αSyn-SAAs) may enhance diagnostic accuracy by detecting pathologic αSyn seeds in CSF. In this study, we examine how different clinical features associate with CSF αSyn-SAA positivity in a large group of clinically diagnosed participants with DLB. METHODS Cross-sectional and longitudinal CSF samples from the multicentered observational cohort study of the DLB Consortium and similar studies within the Parkinson's Disease Biomarker Program, contributed by academic medical centers in the United States, underwent αSyn-SAA testing. Participants included those clinically diagnosed with DLB and 2 control cohorts. Associations between core DLB features and olfaction with αSyn-SAA positivity were evaluated using logistic regression. RESULTS CSF samples from 191 participants diagnosed with DLB (mean age 69.9 ± 6.8, 15% female), 50 age-matched and sex-matched clinical control participants, and 49 younger analytical control participants were analyzed. Seventy-two percent (137/191) of participants with DLB had positive αSyn-SAAs vs 4% of the control groups. Among participants with DLB, those who were αSyn-SAA-positive had lower Montreal Cognitive Assessment scores (18.8 ± 5.7 vs 21.2 ± 5.2, p = 0.01), had worse parkinsonism on the Movement Disorders Society Unified Parkinson's Disease Rating Scale part III (33.8 ± 15.1 vs 25.6 ± 16.4, p = 0.001), were more likely to report RBD (114/133 [86%] vs 33/53 [62%], p < 0.0001), and had worse hyposmia on the University of Pennsylvania Smell Identification Test (UPSIT) (94/105 [90%] below 15th percentile vs 14/44 [32%], p < 0.0001). UPSIT percentile had the highest area under the curve (0.87, 95% CI 0.81-0.94) in predicting αSyn-SAA positivity and participants scoring at or below the 15th percentile of age and sex normative values had 18.3 times higher odds (95% CI 7.52-44.6) of having a positive αSyn-SAA test. Among 82 participants with longitudinal CSF samples, 81 (99%) had the same αSyn-SAA result for initial and follow-up specimens. DISCUSSION A substantial proportion of clinically diagnosed participants with DLB had negative αSyn-SAA results. Hyposmia was the strongest clinical predictor of αSyn-SAA positivity. Hyposmia and αSyn-SAA may have utility in improving the diagnostic assessment of individuals with potential DLB. CLASSIFICATION OF EVIDENCE This study provided Class III evidence that CSF αSyn-SAA distinguishes patients with clinically diagnosed DLB from normal controls.
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Affiliation(s)
- David G Coughlin
- From the Department of Neurosciences (D.G.C., I.L., D.G.), University of California San Diego; Clinical Laboratory (K.R.M., J.S.M.), Amprion Inc., La Jolla, CA; Department of Neurology (A.C.B.), University of North Carolina, Chapel Hill, NC; Department of Neurology (J.E.G.), University of Miami, FL; Department of Neurology (D.J.I.), University of Pennsylvania, Philadelphia; Department of Neurology (C.F.L.), Thomas Jefferson University, Philadelphia, PA; Department of Neurology (O.L.L., S.B.), University of Pittsburgh, PA; Department of Neurology (D.W.T., C.P.Z.), University of Washington and Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle, WA; Department of Neurology (L.S.H., K.S.M.), Columbia University Irving Medical Center, New York, NY; Department of Neurology (J.E.F.), Rush University, Chicago, IL; Department of Neurology (M.S.), Barrow Neurological Institute, AZ; Department of Neurology (D.W., L.B., J.B.L.), Cleveland Clinic, OH; and Lewy Body Dementia Association (A.S.T.), Lilburn, GA
| | - Karen R MacLeod
- From the Department of Neurosciences (D.G.C., I.L., D.G.), University of California San Diego; Clinical Laboratory (K.R.M., J.S.M.), Amprion Inc., La Jolla, CA; Department of Neurology (A.C.B.), University of North Carolina, Chapel Hill, NC; Department of Neurology (J.E.G.), University of Miami, FL; Department of Neurology (D.J.I.), University of Pennsylvania, Philadelphia; Department of Neurology (C.F.L.), Thomas Jefferson University, Philadelphia, PA; Department of Neurology (O.L.L., S.B.), University of Pittsburgh, PA; Department of Neurology (D.W.T., C.P.Z.), University of Washington and Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle, WA; Department of Neurology (L.S.H., K.S.M.), Columbia University Irving Medical Center, New York, NY; Department of Neurology (J.E.F.), Rush University, Chicago, IL; Department of Neurology (M.S.), Barrow Neurological Institute, AZ; Department of Neurology (D.W., L.B., J.B.L.), Cleveland Clinic, OH; and Lewy Body Dementia Association (A.S.T.), Lilburn, GA
| | - John S Middleton
- From the Department of Neurosciences (D.G.C., I.L., D.G.), University of California San Diego; Clinical Laboratory (K.R.M., J.S.M.), Amprion Inc., La Jolla, CA; Department of Neurology (A.C.B.), University of North Carolina, Chapel Hill, NC; Department of Neurology (J.E.G.), University of Miami, FL; Department of Neurology (D.J.I.), University of Pennsylvania, Philadelphia; Department of Neurology (C.F.L.), Thomas Jefferson University, Philadelphia, PA; Department of Neurology (O.L.L., S.B.), University of Pittsburgh, PA; Department of Neurology (D.W.T., C.P.Z.), University of Washington and Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle, WA; Department of Neurology (L.S.H., K.S.M.), Columbia University Irving Medical Center, New York, NY; Department of Neurology (J.E.F.), Rush University, Chicago, IL; Department of Neurology (M.S.), Barrow Neurological Institute, AZ; Department of Neurology (D.W., L.B., J.B.L.), Cleveland Clinic, OH; and Lewy Body Dementia Association (A.S.T.), Lilburn, GA
| | - Andrea C Bozoki
- From the Department of Neurosciences (D.G.C., I.L., D.G.), University of California San Diego; Clinical Laboratory (K.R.M., J.S.M.), Amprion Inc., La Jolla, CA; Department of Neurology (A.C.B.), University of North Carolina, Chapel Hill, NC; Department of Neurology (J.E.G.), University of Miami, FL; Department of Neurology (D.J.I.), University of Pennsylvania, Philadelphia; Department of Neurology (C.F.L.), Thomas Jefferson University, Philadelphia, PA; Department of Neurology (O.L.L., S.B.), University of Pittsburgh, PA; Department of Neurology (D.W.T., C.P.Z.), University of Washington and Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle, WA; Department of Neurology (L.S.H., K.S.M.), Columbia University Irving Medical Center, New York, NY; Department of Neurology (J.E.F.), Rush University, Chicago, IL; Department of Neurology (M.S.), Barrow Neurological Institute, AZ; Department of Neurology (D.W., L.B., J.B.L.), Cleveland Clinic, OH; and Lewy Body Dementia Association (A.S.T.), Lilburn, GA
| | - James E Galvin
- From the Department of Neurosciences (D.G.C., I.L., D.G.), University of California San Diego; Clinical Laboratory (K.R.M., J.S.M.), Amprion Inc., La Jolla, CA; Department of Neurology (A.C.B.), University of North Carolina, Chapel Hill, NC; Department of Neurology (J.E.G.), University of Miami, FL; Department of Neurology (D.J.I.), University of Pennsylvania, Philadelphia; Department of Neurology (C.F.L.), Thomas Jefferson University, Philadelphia, PA; Department of Neurology (O.L.L., S.B.), University of Pittsburgh, PA; Department of Neurology (D.W.T., C.P.Z.), University of Washington and Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle, WA; Department of Neurology (L.S.H., K.S.M.), Columbia University Irving Medical Center, New York, NY; Department of Neurology (J.E.F.), Rush University, Chicago, IL; Department of Neurology (M.S.), Barrow Neurological Institute, AZ; Department of Neurology (D.W., L.B., J.B.L.), Cleveland Clinic, OH; and Lewy Body Dementia Association (A.S.T.), Lilburn, GA
| | - David J Irwin
- From the Department of Neurosciences (D.G.C., I.L., D.G.), University of California San Diego; Clinical Laboratory (K.R.M., J.S.M.), Amprion Inc., La Jolla, CA; Department of Neurology (A.C.B.), University of North Carolina, Chapel Hill, NC; Department of Neurology (J.E.G.), University of Miami, FL; Department of Neurology (D.J.I.), University of Pennsylvania, Philadelphia; Department of Neurology (C.F.L.), Thomas Jefferson University, Philadelphia, PA; Department of Neurology (O.L.L., S.B.), University of Pittsburgh, PA; Department of Neurology (D.W.T., C.P.Z.), University of Washington and Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle, WA; Department of Neurology (L.S.H., K.S.M.), Columbia University Irving Medical Center, New York, NY; Department of Neurology (J.E.F.), Rush University, Chicago, IL; Department of Neurology (M.S.), Barrow Neurological Institute, AZ; Department of Neurology (D.W., L.B., J.B.L.), Cleveland Clinic, OH; and Lewy Body Dementia Association (A.S.T.), Lilburn, GA
| | - Carol F Lippa
- From the Department of Neurosciences (D.G.C., I.L., D.G.), University of California San Diego; Clinical Laboratory (K.R.M., J.S.M.), Amprion Inc., La Jolla, CA; Department of Neurology (A.C.B.), University of North Carolina, Chapel Hill, NC; Department of Neurology (J.E.G.), University of Miami, FL; Department of Neurology (D.J.I.), University of Pennsylvania, Philadelphia; Department of Neurology (C.F.L.), Thomas Jefferson University, Philadelphia, PA; Department of Neurology (O.L.L., S.B.), University of Pittsburgh, PA; Department of Neurology (D.W.T., C.P.Z.), University of Washington and Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle, WA; Department of Neurology (L.S.H., K.S.M.), Columbia University Irving Medical Center, New York, NY; Department of Neurology (J.E.F.), Rush University, Chicago, IL; Department of Neurology (M.S.), Barrow Neurological Institute, AZ; Department of Neurology (D.W., L.B., J.B.L.), Cleveland Clinic, OH; and Lewy Body Dementia Association (A.S.T.), Lilburn, GA
| | - Irene Litvan
- From the Department of Neurosciences (D.G.C., I.L., D.G.), University of California San Diego; Clinical Laboratory (K.R.M., J.S.M.), Amprion Inc., La Jolla, CA; Department of Neurology (A.C.B.), University of North Carolina, Chapel Hill, NC; Department of Neurology (J.E.G.), University of Miami, FL; Department of Neurology (D.J.I.), University of Pennsylvania, Philadelphia; Department of Neurology (C.F.L.), Thomas Jefferson University, Philadelphia, PA; Department of Neurology (O.L.L., S.B.), University of Pittsburgh, PA; Department of Neurology (D.W.T., C.P.Z.), University of Washington and Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle, WA; Department of Neurology (L.S.H., K.S.M.), Columbia University Irving Medical Center, New York, NY; Department of Neurology (J.E.F.), Rush University, Chicago, IL; Department of Neurology (M.S.), Barrow Neurological Institute, AZ; Department of Neurology (D.W., L.B., J.B.L.), Cleveland Clinic, OH; and Lewy Body Dementia Association (A.S.T.), Lilburn, GA
| | - Oscar L Lopez
- From the Department of Neurosciences (D.G.C., I.L., D.G.), University of California San Diego; Clinical Laboratory (K.R.M., J.S.M.), Amprion Inc., La Jolla, CA; Department of Neurology (A.C.B.), University of North Carolina, Chapel Hill, NC; Department of Neurology (J.E.G.), University of Miami, FL; Department of Neurology (D.J.I.), University of Pennsylvania, Philadelphia; Department of Neurology (C.F.L.), Thomas Jefferson University, Philadelphia, PA; Department of Neurology (O.L.L., S.B.), University of Pittsburgh, PA; Department of Neurology (D.W.T., C.P.Z.), University of Washington and Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle, WA; Department of Neurology (L.S.H., K.S.M.), Columbia University Irving Medical Center, New York, NY; Department of Neurology (J.E.F.), Rush University, Chicago, IL; Department of Neurology (M.S.), Barrow Neurological Institute, AZ; Department of Neurology (D.W., L.B., J.B.L.), Cleveland Clinic, OH; and Lewy Body Dementia Association (A.S.T.), Lilburn, GA
| | - Sarah Berman
- From the Department of Neurosciences (D.G.C., I.L., D.G.), University of California San Diego; Clinical Laboratory (K.R.M., J.S.M.), Amprion Inc., La Jolla, CA; Department of Neurology (A.C.B.), University of North Carolina, Chapel Hill, NC; Department of Neurology (J.E.G.), University of Miami, FL; Department of Neurology (D.J.I.), University of Pennsylvania, Philadelphia; Department of Neurology (C.F.L.), Thomas Jefferson University, Philadelphia, PA; Department of Neurology (O.L.L., S.B.), University of Pittsburgh, PA; Department of Neurology (D.W.T., C.P.Z.), University of Washington and Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle, WA; Department of Neurology (L.S.H., K.S.M.), Columbia University Irving Medical Center, New York, NY; Department of Neurology (J.E.F.), Rush University, Chicago, IL; Department of Neurology (M.S.), Barrow Neurological Institute, AZ; Department of Neurology (D.W., L.B., J.B.L.), Cleveland Clinic, OH; and Lewy Body Dementia Association (A.S.T.), Lilburn, GA
| | - Debby W Tsuang
- From the Department of Neurosciences (D.G.C., I.L., D.G.), University of California San Diego; Clinical Laboratory (K.R.M., J.S.M.), Amprion Inc., La Jolla, CA; Department of Neurology (A.C.B.), University of North Carolina, Chapel Hill, NC; Department of Neurology (J.E.G.), University of Miami, FL; Department of Neurology (D.J.I.), University of Pennsylvania, Philadelphia; Department of Neurology (C.F.L.), Thomas Jefferson University, Philadelphia, PA; Department of Neurology (O.L.L., S.B.), University of Pittsburgh, PA; Department of Neurology (D.W.T., C.P.Z.), University of Washington and Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle, WA; Department of Neurology (L.S.H., K.S.M.), Columbia University Irving Medical Center, New York, NY; Department of Neurology (J.E.F.), Rush University, Chicago, IL; Department of Neurology (M.S.), Barrow Neurological Institute, AZ; Department of Neurology (D.W., L.B., J.B.L.), Cleveland Clinic, OH; and Lewy Body Dementia Association (A.S.T.), Lilburn, GA
| | - Cyrus P Zabetian
- From the Department of Neurosciences (D.G.C., I.L., D.G.), University of California San Diego; Clinical Laboratory (K.R.M., J.S.M.), Amprion Inc., La Jolla, CA; Department of Neurology (A.C.B.), University of North Carolina, Chapel Hill, NC; Department of Neurology (J.E.G.), University of Miami, FL; Department of Neurology (D.J.I.), University of Pennsylvania, Philadelphia; Department of Neurology (C.F.L.), Thomas Jefferson University, Philadelphia, PA; Department of Neurology (O.L.L., S.B.), University of Pittsburgh, PA; Department of Neurology (D.W.T., C.P.Z.), University of Washington and Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle, WA; Department of Neurology (L.S.H., K.S.M.), Columbia University Irving Medical Center, New York, NY; Department of Neurology (J.E.F.), Rush University, Chicago, IL; Department of Neurology (M.S.), Barrow Neurological Institute, AZ; Department of Neurology (D.W., L.B., J.B.L.), Cleveland Clinic, OH; and Lewy Body Dementia Association (A.S.T.), Lilburn, GA
| | - Lawrence S Honig
- From the Department of Neurosciences (D.G.C., I.L., D.G.), University of California San Diego; Clinical Laboratory (K.R.M., J.S.M.), Amprion Inc., La Jolla, CA; Department of Neurology (A.C.B.), University of North Carolina, Chapel Hill, NC; Department of Neurology (J.E.G.), University of Miami, FL; Department of Neurology (D.J.I.), University of Pennsylvania, Philadelphia; Department of Neurology (C.F.L.), Thomas Jefferson University, Philadelphia, PA; Department of Neurology (O.L.L., S.B.), University of Pittsburgh, PA; Department of Neurology (D.W.T., C.P.Z.), University of Washington and Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle, WA; Department of Neurology (L.S.H., K.S.M.), Columbia University Irving Medical Center, New York, NY; Department of Neurology (J.E.F.), Rush University, Chicago, IL; Department of Neurology (M.S.), Barrow Neurological Institute, AZ; Department of Neurology (D.W., L.B., J.B.L.), Cleveland Clinic, OH; and Lewy Body Dementia Association (A.S.T.), Lilburn, GA
| | - Karen S Marder
- From the Department of Neurosciences (D.G.C., I.L., D.G.), University of California San Diego; Clinical Laboratory (K.R.M., J.S.M.), Amprion Inc., La Jolla, CA; Department of Neurology (A.C.B.), University of North Carolina, Chapel Hill, NC; Department of Neurology (J.E.G.), University of Miami, FL; Department of Neurology (D.J.I.), University of Pennsylvania, Philadelphia; Department of Neurology (C.F.L.), Thomas Jefferson University, Philadelphia, PA; Department of Neurology (O.L.L., S.B.), University of Pittsburgh, PA; Department of Neurology (D.W.T., C.P.Z.), University of Washington and Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle, WA; Department of Neurology (L.S.H., K.S.M.), Columbia University Irving Medical Center, New York, NY; Department of Neurology (J.E.F.), Rush University, Chicago, IL; Department of Neurology (M.S.), Barrow Neurological Institute, AZ; Department of Neurology (D.W., L.B., J.B.L.), Cleveland Clinic, OH; and Lewy Body Dementia Association (A.S.T.), Lilburn, GA
| | - Jori E Fleisher
- From the Department of Neurosciences (D.G.C., I.L., D.G.), University of California San Diego; Clinical Laboratory (K.R.M., J.S.M.), Amprion Inc., La Jolla, CA; Department of Neurology (A.C.B.), University of North Carolina, Chapel Hill, NC; Department of Neurology (J.E.G.), University of Miami, FL; Department of Neurology (D.J.I.), University of Pennsylvania, Philadelphia; Department of Neurology (C.F.L.), Thomas Jefferson University, Philadelphia, PA; Department of Neurology (O.L.L., S.B.), University of Pittsburgh, PA; Department of Neurology (D.W.T., C.P.Z.), University of Washington and Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle, WA; Department of Neurology (L.S.H., K.S.M.), Columbia University Irving Medical Center, New York, NY; Department of Neurology (J.E.F.), Rush University, Chicago, IL; Department of Neurology (M.S.), Barrow Neurological Institute, AZ; Department of Neurology (D.W., L.B., J.B.L.), Cleveland Clinic, OH; and Lewy Body Dementia Association (A.S.T.), Lilburn, GA
| | - Marwan Sabbagh
- From the Department of Neurosciences (D.G.C., I.L., D.G.), University of California San Diego; Clinical Laboratory (K.R.M., J.S.M.), Amprion Inc., La Jolla, CA; Department of Neurology (A.C.B.), University of North Carolina, Chapel Hill, NC; Department of Neurology (J.E.G.), University of Miami, FL; Department of Neurology (D.J.I.), University of Pennsylvania, Philadelphia; Department of Neurology (C.F.L.), Thomas Jefferson University, Philadelphia, PA; Department of Neurology (O.L.L., S.B.), University of Pittsburgh, PA; Department of Neurology (D.W.T., C.P.Z.), University of Washington and Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle, WA; Department of Neurology (L.S.H., K.S.M.), Columbia University Irving Medical Center, New York, NY; Department of Neurology (J.E.F.), Rush University, Chicago, IL; Department of Neurology (M.S.), Barrow Neurological Institute, AZ; Department of Neurology (D.W., L.B., J.B.L.), Cleveland Clinic, OH; and Lewy Body Dementia Association (A.S.T.), Lilburn, GA
| | - Dylan Wint
- From the Department of Neurosciences (D.G.C., I.L., D.G.), University of California San Diego; Clinical Laboratory (K.R.M., J.S.M.), Amprion Inc., La Jolla, CA; Department of Neurology (A.C.B.), University of North Carolina, Chapel Hill, NC; Department of Neurology (J.E.G.), University of Miami, FL; Department of Neurology (D.J.I.), University of Pennsylvania, Philadelphia; Department of Neurology (C.F.L.), Thomas Jefferson University, Philadelphia, PA; Department of Neurology (O.L.L., S.B.), University of Pittsburgh, PA; Department of Neurology (D.W.T., C.P.Z.), University of Washington and Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle, WA; Department of Neurology (L.S.H., K.S.M.), Columbia University Irving Medical Center, New York, NY; Department of Neurology (J.E.F.), Rush University, Chicago, IL; Department of Neurology (M.S.), Barrow Neurological Institute, AZ; Department of Neurology (D.W., L.B., J.B.L.), Cleveland Clinic, OH; and Lewy Body Dementia Association (A.S.T.), Lilburn, GA
| | - Angela S Taylor
- From the Department of Neurosciences (D.G.C., I.L., D.G.), University of California San Diego; Clinical Laboratory (K.R.M., J.S.M.), Amprion Inc., La Jolla, CA; Department of Neurology (A.C.B.), University of North Carolina, Chapel Hill, NC; Department of Neurology (J.E.G.), University of Miami, FL; Department of Neurology (D.J.I.), University of Pennsylvania, Philadelphia; Department of Neurology (C.F.L.), Thomas Jefferson University, Philadelphia, PA; Department of Neurology (O.L.L., S.B.), University of Pittsburgh, PA; Department of Neurology (D.W.T., C.P.Z.), University of Washington and Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle, WA; Department of Neurology (L.S.H., K.S.M.), Columbia University Irving Medical Center, New York, NY; Department of Neurology (J.E.F.), Rush University, Chicago, IL; Department of Neurology (M.S.), Barrow Neurological Institute, AZ; Department of Neurology (D.W., L.B., J.B.L.), Cleveland Clinic, OH; and Lewy Body Dementia Association (A.S.T.), Lilburn, GA
| | - Lynn Bekris
- From the Department of Neurosciences (D.G.C., I.L., D.G.), University of California San Diego; Clinical Laboratory (K.R.M., J.S.M.), Amprion Inc., La Jolla, CA; Department of Neurology (A.C.B.), University of North Carolina, Chapel Hill, NC; Department of Neurology (J.E.G.), University of Miami, FL; Department of Neurology (D.J.I.), University of Pennsylvania, Philadelphia; Department of Neurology (C.F.L.), Thomas Jefferson University, Philadelphia, PA; Department of Neurology (O.L.L., S.B.), University of Pittsburgh, PA; Department of Neurology (D.W.T., C.P.Z.), University of Washington and Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle, WA; Department of Neurology (L.S.H., K.S.M.), Columbia University Irving Medical Center, New York, NY; Department of Neurology (J.E.F.), Rush University, Chicago, IL; Department of Neurology (M.S.), Barrow Neurological Institute, AZ; Department of Neurology (D.W., L.B., J.B.L.), Cleveland Clinic, OH; and Lewy Body Dementia Association (A.S.T.), Lilburn, GA
| | - James B Leverenz
- From the Department of Neurosciences (D.G.C., I.L., D.G.), University of California San Diego; Clinical Laboratory (K.R.M., J.S.M.), Amprion Inc., La Jolla, CA; Department of Neurology (A.C.B.), University of North Carolina, Chapel Hill, NC; Department of Neurology (J.E.G.), University of Miami, FL; Department of Neurology (D.J.I.), University of Pennsylvania, Philadelphia; Department of Neurology (C.F.L.), Thomas Jefferson University, Philadelphia, PA; Department of Neurology (O.L.L., S.B.), University of Pittsburgh, PA; Department of Neurology (D.W.T., C.P.Z.), University of Washington and Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle, WA; Department of Neurology (L.S.H., K.S.M.), Columbia University Irving Medical Center, New York, NY; Department of Neurology (J.E.F.), Rush University, Chicago, IL; Department of Neurology (M.S.), Barrow Neurological Institute, AZ; Department of Neurology (D.W., L.B., J.B.L.), Cleveland Clinic, OH; and Lewy Body Dementia Association (A.S.T.), Lilburn, GA
| | - Douglas Galasko
- From the Department of Neurosciences (D.G.C., I.L., D.G.), University of California San Diego; Clinical Laboratory (K.R.M., J.S.M.), Amprion Inc., La Jolla, CA; Department of Neurology (A.C.B.), University of North Carolina, Chapel Hill, NC; Department of Neurology (J.E.G.), University of Miami, FL; Department of Neurology (D.J.I.), University of Pennsylvania, Philadelphia; Department of Neurology (C.F.L.), Thomas Jefferson University, Philadelphia, PA; Department of Neurology (O.L.L., S.B.), University of Pittsburgh, PA; Department of Neurology (D.W.T., C.P.Z.), University of Washington and Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle, WA; Department of Neurology (L.S.H., K.S.M.), Columbia University Irving Medical Center, New York, NY; Department of Neurology (J.E.F.), Rush University, Chicago, IL; Department of Neurology (M.S.), Barrow Neurological Institute, AZ; Department of Neurology (D.W., L.B., J.B.L.), Cleveland Clinic, OH; and Lewy Body Dementia Association (A.S.T.), Lilburn, GA
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Baquero M, Ferré-González L, Álvarez-Sánchez L, Ferrer-Cairols I, García-Vallés L, Peretó M, Raga L, García-Lluch G, Peña-Bautista C, Muria B, Prieto A, Jareño I, Cháfer-Pericás C. Insights from a 7-Year Dementia Cohort (VALCODIS): ApoE Genotype Evaluation. J Clin Med 2024; 13:4735. [PMID: 39200877 PMCID: PMC11355866 DOI: 10.3390/jcm13164735] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2024] [Revised: 08/08/2024] [Accepted: 08/09/2024] [Indexed: 09/02/2024] Open
Abstract
Background: The VALCODIS (Valencian Cognitive Diseases Study) cohort was designed and studied at the Hospital Universitari i Politècnic La Fe (Valencia, Spain) for the research of cognitive diseases, especially in the search for new biomarkers of Alzheimer's disease (AD). Methods: Participants in the VALCODIS cohort had cerebrospinal fluid (CSF) and blood samples, neuroimaging, and neuropsychological tests. The ApoE genotype was evaluated to identify its relationship with CSF biomarkers and neuropsychological tests in AD and non-AD participants. Results: A total of 1249 participants were included. They were mainly AD patients (n = 547) but also patients with other dementias (frontotemporal lobar dementia (n = 61), Lewy body dementia without AD CSF signature (n = 10), vascular dementia (n = 24) and other specific causes of cognitive impairment (n = 442), and patients with subjective memory complaints (n = 165)). In the ApoE genotype evaluation, significant differences were found for Aβ42 levels between genotypes in both AD and non-AD patients, as well as a negative correlation between tau values and a cognitive test in non-carriers and ε4 heterozygous. Conclusions: The VALCODIS cohort provides biologically diagnosed patients with demographical, clinical and biochemical data, and biological samples for further studies on early AD diagnosis. Also, the ApoE genotype evaluation showed correlations between CSF biomarkers and neuropsychological tests.
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Affiliation(s)
- Miguel Baquero
- Research Group in Alzheimer’s Disease, Instituto de Investigación Sanitaria La Fe, Avda. Fernando Abril Martorell, 106, 46026 Valencia, Spain; (M.B.); (L.F.-G.); (L.Á.-S.); (I.F.-C.); (L.G.-V.); (M.P.); (L.R.); (G.G.-L.); (C.P.-B.); (B.M.); (A.P.); (I.J.)
- Neurology Unit, University and Polytechnic Hospital La Fe, Avda. Fernando Abril Martorell, 106, 46026 Valencia, Spain
| | - Laura Ferré-González
- Research Group in Alzheimer’s Disease, Instituto de Investigación Sanitaria La Fe, Avda. Fernando Abril Martorell, 106, 46026 Valencia, Spain; (M.B.); (L.F.-G.); (L.Á.-S.); (I.F.-C.); (L.G.-V.); (M.P.); (L.R.); (G.G.-L.); (C.P.-B.); (B.M.); (A.P.); (I.J.)
| | - Lourdes Álvarez-Sánchez
- Research Group in Alzheimer’s Disease, Instituto de Investigación Sanitaria La Fe, Avda. Fernando Abril Martorell, 106, 46026 Valencia, Spain; (M.B.); (L.F.-G.); (L.Á.-S.); (I.F.-C.); (L.G.-V.); (M.P.); (L.R.); (G.G.-L.); (C.P.-B.); (B.M.); (A.P.); (I.J.)
| | - Inés Ferrer-Cairols
- Research Group in Alzheimer’s Disease, Instituto de Investigación Sanitaria La Fe, Avda. Fernando Abril Martorell, 106, 46026 Valencia, Spain; (M.B.); (L.F.-G.); (L.Á.-S.); (I.F.-C.); (L.G.-V.); (M.P.); (L.R.); (G.G.-L.); (C.P.-B.); (B.M.); (A.P.); (I.J.)
| | - Lorena García-Vallés
- Research Group in Alzheimer’s Disease, Instituto de Investigación Sanitaria La Fe, Avda. Fernando Abril Martorell, 106, 46026 Valencia, Spain; (M.B.); (L.F.-G.); (L.Á.-S.); (I.F.-C.); (L.G.-V.); (M.P.); (L.R.); (G.G.-L.); (C.P.-B.); (B.M.); (A.P.); (I.J.)
| | - Mar Peretó
- Research Group in Alzheimer’s Disease, Instituto de Investigación Sanitaria La Fe, Avda. Fernando Abril Martorell, 106, 46026 Valencia, Spain; (M.B.); (L.F.-G.); (L.Á.-S.); (I.F.-C.); (L.G.-V.); (M.P.); (L.R.); (G.G.-L.); (C.P.-B.); (B.M.); (A.P.); (I.J.)
| | - Luis Raga
- Research Group in Alzheimer’s Disease, Instituto de Investigación Sanitaria La Fe, Avda. Fernando Abril Martorell, 106, 46026 Valencia, Spain; (M.B.); (L.F.-G.); (L.Á.-S.); (I.F.-C.); (L.G.-V.); (M.P.); (L.R.); (G.G.-L.); (C.P.-B.); (B.M.); (A.P.); (I.J.)
| | - Gemma García-Lluch
- Research Group in Alzheimer’s Disease, Instituto de Investigación Sanitaria La Fe, Avda. Fernando Abril Martorell, 106, 46026 Valencia, Spain; (M.B.); (L.F.-G.); (L.Á.-S.); (I.F.-C.); (L.G.-V.); (M.P.); (L.R.); (G.G.-L.); (C.P.-B.); (B.M.); (A.P.); (I.J.)
| | - Carmen Peña-Bautista
- Research Group in Alzheimer’s Disease, Instituto de Investigación Sanitaria La Fe, Avda. Fernando Abril Martorell, 106, 46026 Valencia, Spain; (M.B.); (L.F.-G.); (L.Á.-S.); (I.F.-C.); (L.G.-V.); (M.P.); (L.R.); (G.G.-L.); (C.P.-B.); (B.M.); (A.P.); (I.J.)
| | - Beatriz Muria
- Research Group in Alzheimer’s Disease, Instituto de Investigación Sanitaria La Fe, Avda. Fernando Abril Martorell, 106, 46026 Valencia, Spain; (M.B.); (L.F.-G.); (L.Á.-S.); (I.F.-C.); (L.G.-V.); (M.P.); (L.R.); (G.G.-L.); (C.P.-B.); (B.M.); (A.P.); (I.J.)
| | - Aitana Prieto
- Research Group in Alzheimer’s Disease, Instituto de Investigación Sanitaria La Fe, Avda. Fernando Abril Martorell, 106, 46026 Valencia, Spain; (M.B.); (L.F.-G.); (L.Á.-S.); (I.F.-C.); (L.G.-V.); (M.P.); (L.R.); (G.G.-L.); (C.P.-B.); (B.M.); (A.P.); (I.J.)
| | - Inés Jareño
- Research Group in Alzheimer’s Disease, Instituto de Investigación Sanitaria La Fe, Avda. Fernando Abril Martorell, 106, 46026 Valencia, Spain; (M.B.); (L.F.-G.); (L.Á.-S.); (I.F.-C.); (L.G.-V.); (M.P.); (L.R.); (G.G.-L.); (C.P.-B.); (B.M.); (A.P.); (I.J.)
| | - Consuelo Cháfer-Pericás
- Research Group in Alzheimer’s Disease, Instituto de Investigación Sanitaria La Fe, Avda. Fernando Abril Martorell, 106, 46026 Valencia, Spain; (M.B.); (L.F.-G.); (L.Á.-S.); (I.F.-C.); (L.G.-V.); (M.P.); (L.R.); (G.G.-L.); (C.P.-B.); (B.M.); (A.P.); (I.J.)
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382
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Endo H, Ono M, Takado Y, Matsuoka K, Takahashi M, Tagai K, Kataoka Y, Hirata K, Takahata K, Seki C, Kokubo N, Fujinaga M, Mori W, Nagai Y, Mimura K, Kumata K, Kikuchi T, Shimozawa A, Mishra SK, Yamaguchi Y, Shimizu H, Kakita A, Takuwa H, Shinotoh H, Shimada H, Kimura Y, Ichise M, Suhara T, Minamimoto T, Sahara N, Kawamura K, Zhang MR, Hasegawa M, Higuchi M. Imaging α-synuclein pathologies in animal models and patients with Parkinson's and related diseases. Neuron 2024; 112:2540-2557.e8. [PMID: 38843838 DOI: 10.1016/j.neuron.2024.05.006] [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: 08/25/2023] [Revised: 01/24/2024] [Accepted: 05/07/2024] [Indexed: 08/10/2024]
Abstract
Deposition of α-synuclein fibrils is implicated in Parkinson's disease (PD) and dementia with Lewy bodies (DLB), while in vivo detection of α-synuclein pathologies in these illnesses has been challenging. Here, we have developed a small-molecule ligand, C05-05, for visualizing α-synuclein deposits in the brains of living subjects. In vivo optical and positron emission tomography (PET) imaging of mouse and marmoset models demonstrated that C05-05 captured a dynamic propagation of fibrillogenesis along neural pathways, followed by disruptions of these structures. High-affinity binding of 18F-C05-05 to α-synuclein aggregates in human brain tissues was also proven by in vitro assays. Notably, PET-detectable 18F-C05-05 signals were intensified in the midbrains of PD and DLB patients as compared with healthy controls, providing the first demonstration of visualizing α-synuclein pathologies in these illnesses. Collectively, we propose a new imaging technology offering neuropathology-based translational assessments of PD and allied disorders toward diagnostic and therapeutic research and development.
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Affiliation(s)
- Hironobu Endo
- Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba 263-8555, Japan.
| | - Maiko Ono
- Institute for Quantum Life Science, National Institutes for Quantum Science and Technology, Chiba 263-8555, Japan
| | - Yuhei Takado
- Institute for Quantum Life Science, National Institutes for Quantum Science and Technology, Chiba 263-8555, Japan
| | - Kiwamu Matsuoka
- Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba 263-8555, Japan; Department of Psychiatry, Nara Medical University, Nara 634-8522, Japan
| | - Manami Takahashi
- Quantum Neuromapping and Neuromodulation Team, Institute for Quantum Life Science, National Institutes for Quantum Science and Technology, Chiba 263-8555, Japan
| | - Kenji Tagai
- Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba 263-8555, Japan; Department of Psychiatry, The Jikei University School of Medicine, Tokyo 105-8461, Japan
| | - Yuko Kataoka
- Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba 263-8555, Japan
| | - Kosei Hirata
- Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba 263-8555, Japan; Department of Neurology and Neurological Science, Tokyo Medical and Dental University, Tokyo 113-8510, Japan
| | - Keisuke Takahata
- Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba 263-8555, Japan; Department of Psychiatry, Keio University School of Medicine, Tokyo 160-0016, Japan
| | - Chie Seki
- Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba 263-8555, Japan
| | - Naomi Kokubo
- Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba 263-8555, Japan
| | - Masayuki Fujinaga
- Department of Advanced Nuclear Medicine Sciences, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba 263-8555, Japan
| | - Wakana Mori
- Department of Advanced Nuclear Medicine Sciences, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba 263-8555, Japan
| | - Yuji Nagai
- Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba 263-8555, Japan
| | - Koki Mimura
- Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba 263-8555, Japan; Research Center for Medical and Health Data Science, The Institute of Statistical Mathematics, Tokyo 190-8562, Japan
| | - Katsushi Kumata
- Department of Advanced Nuclear Medicine Sciences, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba 263-8555, Japan
| | - Tatsuya Kikuchi
- Department of Advanced Nuclear Medicine Sciences, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba 263-8555, Japan
| | - Aki Shimozawa
- Department of Dementia and Higher Brain Function, Tokyo Metropolitan Institute of Medical Science, Tokyo 156-8506, Japan
| | - Sushil K Mishra
- Department of BioMolecular Sciences, The University of Mississippi, Oxford, MS 38677, USA
| | - Yoshiki Yamaguchi
- Division of Structural Glycobiology, Institute of Molecular Biomembrane and Glycobiology, Tohoku Medical and Pharmaceutical University, Sendai 981-8558, Miyagi Japan
| | - Hiroshi Shimizu
- Department of Pathology, Brain Research Institute, Niigata University, Niigata 951-8585, Japan
| | - Akiyoshi Kakita
- Department of Pathology, Brain Research Institute, Niigata University, Niigata 951-8585, Japan
| | - Hiroyuki Takuwa
- Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba 263-8555, Japan; Quantum Neuromapping and Neuromodulation Team, Institute for Quantum Life Science, National Institutes for Quantum Science and Technology, Chiba 263-8555, Japan
| | - Hitoshi Shinotoh
- Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba 263-8555, Japan; Neurology Clinic, Chiba 260-0045, Chiba Japan
| | - Hitoshi Shimada
- Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba 263-8555, Japan; Department of Functional Neurology & Neurosurgery, Center for Integrated Human Brain Science, Brain Research Institute, Niigata University, Niigata 951-8585, Japan
| | - Yasuyuki Kimura
- Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba 263-8555, Japan; Department of Clinical and Experimental Neuroimaging, Center for Development of Advanced Medicine for Dementia, National Center for Geriatrics and Gerontology, Obu 474-8511, Aichi, Japan
| | - Masanori Ichise
- Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba 263-8555, Japan
| | - Tetsuya Suhara
- National Institutes for Quantum Science and Technology, Chiba 263-8555, Japan
| | - Takafumi Minamimoto
- Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba 263-8555, Japan
| | - Naruhiko Sahara
- Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba 263-8555, Japan
| | - Kazunori Kawamura
- Department of Advanced Nuclear Medicine Sciences, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba 263-8555, Japan
| | - Ming-Rong Zhang
- Department of Advanced Nuclear Medicine Sciences, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba 263-8555, Japan
| | - Masato Hasegawa
- Department of Dementia and Higher Brain Function, Tokyo Metropolitan Institute of Medical Science, Tokyo 156-8506, Japan
| | - Makoto Higuchi
- Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba 263-8555, Japan; Department of Neuroetiology and Diagnostic Science, Osaka Metropolitan University Graduate School of Medicine, Osaka 545-8585, Japan
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383
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Shantaraman A, Dammer EB, Ugochukwu O, Duong DM, Yin L, Carter EK, Gearing M, Chen-Plotkin A, Lee EB, Trojanowski JQ, Bennett DA, Lah JJ, Levey AI, Seyfried NT, Higginbotham L. Network proteomics of the Lewy body dementia brain reveals presynaptic signatures distinct from Alzheimer's disease. Mol Neurodegener 2024; 19:60. [PMID: 39107789 PMCID: PMC11302177 DOI: 10.1186/s13024-024-00749-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Accepted: 07/24/2024] [Indexed: 08/10/2024] Open
Abstract
Lewy body dementia (LBD), a class of disorders comprising Parkinson's disease dementia (PDD) and dementia with Lewy bodies (DLB), features substantial clinical and pathological overlap with Alzheimer's disease (AD). The identification of biomarkers unique to LBD pathophysiology could meaningfully advance its diagnosis, monitoring, and treatment. Using quantitative mass spectrometry (MS), we measured over 9,000 proteins across 138 dorsolateral prefrontal cortex (DLPFC) tissues from a University of Pennsylvania autopsy collection comprising control, Parkinson's disease (PD), PDD, and DLB diagnoses. We then analyzed co-expression network protein alterations in those with LBD, validated these disease signatures in two independent LBD datasets, and compared these findings to those observed in network analyses of AD cases. The LBD network revealed numerous groups or "modules" of co-expressed proteins significantly altered in PDD and DLB, representing synaptic, metabolic, and inflammatory pathophysiology. A comparison of validated LBD signatures to those of AD identified distinct differences between the two diseases. Notably, synuclein-associated presynaptic modules were elevated in LBD but decreased in AD relative to controls. We also found that glial-associated matrisome signatures consistently elevated in AD were more variably altered in LBD, ultimately stratifying those LBD cases with low versus high burdens of concurrent beta-amyloid deposition. In conclusion, unbiased network proteomic analysis revealed diverse pathophysiological changes in the LBD frontal cortex distinct from alterations in AD. These results highlight the LBD brain network proteome as a promising source of biomarkers that could enhance clinical recognition and management.
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Affiliation(s)
- Anantharaman Shantaraman
- Center for Neurodegenerative Disease, Emory University School of Medicine, Atlanta, GA, USA
- Department of Biochemistry, Emory University School of Medicine, Atlanta, GA, USA
| | - Eric B Dammer
- Center for Neurodegenerative Disease, Emory University School of Medicine, Atlanta, GA, USA
- Department of Biochemistry, Emory University School of Medicine, Atlanta, GA, USA
| | - Obiadada Ugochukwu
- Center for Neurodegenerative Disease, Emory University School of Medicine, Atlanta, GA, USA
| | - Duc M Duong
- Center for Neurodegenerative Disease, Emory University School of Medicine, Atlanta, GA, USA
- Department of Biochemistry, Emory University School of Medicine, Atlanta, GA, USA
| | - Luming Yin
- Department of Biochemistry, Emory University School of Medicine, Atlanta, GA, USA
| | - E Kathleen Carter
- Center for Neurodegenerative Disease, Emory University School of Medicine, Atlanta, GA, USA
- Department of Biochemistry, Emory University School of Medicine, Atlanta, GA, USA
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
| | - Marla Gearing
- Center for Neurodegenerative Disease, Emory University School of Medicine, Atlanta, GA, USA
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
- Department of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Alice Chen-Plotkin
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Edward B Lee
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - John Q Trojanowski
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - James J Lah
- Center for Neurodegenerative Disease, Emory University School of Medicine, Atlanta, GA, USA
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
| | - Allan I Levey
- Center for Neurodegenerative Disease, Emory University School of Medicine, Atlanta, GA, USA
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
| | - Nicholas T Seyfried
- Center for Neurodegenerative Disease, Emory University School of Medicine, Atlanta, GA, USA.
- Department of Biochemistry, Emory University School of Medicine, Atlanta, GA, USA.
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA.
| | - Lenora Higginbotham
- Center for Neurodegenerative Disease, Emory University School of Medicine, Atlanta, GA, USA.
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA.
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384
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Miyaue K, Isono H. A Case Report of Probable Dementia With Lewy Bodies Diagnosed Through Repeated Episodes of Depressed Consciousness. Cureus 2024; 16:e67581. [PMID: 39310588 PMCID: PMC11416826 DOI: 10.7759/cureus.67581] [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] [Accepted: 08/23/2024] [Indexed: 09/25/2024] Open
Abstract
This case report details the diagnostic challenges of an 84-year-old male with unrecognized dementia with Lewy bodies (DLB) who presented to the emergency department (ED) with episodes of unresponsiveness and depressed consciousness. Despite normal initial laboratory and imaging tests, recurrent symptoms prompted further evaluation, which, along with a detailed history and physical examination, led to the DLB diagnosis. This case underscores the importance of considering DLB in patients with unexplained recurrent depressed consciousness and highlights the importance of clarifying the etiologies of dementia.
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Affiliation(s)
- Kazuki Miyaue
- Department of General Medicine, HITO Medical Center, Ehime, JPN
| | - Hiroki Isono
- Department of General Medicine, HITO Medical Center, Ehime, JPN
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385
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Aslan Kirazoglu D, Heybeli C, Atcıyurt K, Yigitalp V, Smith L, Veronese N, Rahmati M, Soysal P. The relationship between dehydration and etiologic subtypes of major neurocognitive disorder in older patients. Eur Geriatr Med 2024; 15:1159-1168. [PMID: 38755401 DOI: 10.1007/s41999-024-00986-z] [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: 01/29/2024] [Accepted: 04/29/2024] [Indexed: 05/18/2024]
Abstract
PURPOSE Studies investigating associations between etiologic subtypes of major neurocognitive disorder (MND) and dehydration frequency are lacking. The aim of this study was to investigate the prevalence and risk factors of dehydration among older adults with and without MND (dementia), and across different etiologic subtypes of MND. METHODS This cross-sectional study included adults aged ≥ 65 years old from one geriatric outpatient clinic. Dehydration was defined as a calculated [1,86 × (Na + K) + 1,15 × glucose + urea + 14] plasma osmolarity of > 295 mOsm/L.Clinical characteristics and measures of comprehensive geriatric assessments of patients with dehydration and normohydration were compared. MND was diagnosed according to the Diagnostic and Statistical Manual of Mental Disorders-Fifth Edition criteria. The underlying etiologic subtypes were determined by specific diagnostic criteria. RESULTS Of the 1377 patients 72% were female, the mean age was 80 ± 8 years, and 575 had dementia. Dehydration was more common in patients with dementia than those without dementia (58% vs. 53%, p = 0.044). The prevelance of dehydration was 57%, 62%, 54%, 57% and 68% in Alzheimer's disease, Parkinson's disease dementia, fronto-temporal dementia, dementia with Lewy bodies, and vascular dementia, respectively (p ≥ 0.05). MND was associated with dehydration (OR 1.26, 95% CI 1.01-1.57; p = 0.037) after adjustment for age and sex. In multivariable analysis, among patients with dementia, hypertension, DM, CKD, and dysphagia were more common while mean Mini-Mental State Examination score was lower in those who had dehydration versus no dehydration in older patients with dementia (p < 0.05). CONCLUSION Dehydration is slightly associated with the presence of MND independent of age and sex. However, dehydration is also quite common in older patients without cognitive disorders. Therefore, hydration status should be monitored in older adults irrespective of neurocognitive status. Hypertension, DM, CKD, dysphagia and severity of cognitive dysfunction were associated with dehydration in patients with dementia. The prevalence of dehydration is highest in patients with vascular dementia.
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Affiliation(s)
- Damla Aslan Kirazoglu
- Department of Internal Medicine, Faculty of Medicine, Bezmialem Vakif University, Istanbul, Turkey
| | - Cihan Heybeli
- Division of Nephrology, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey
| | - Kübra Atcıyurt
- Department of Internal Medicine, Faculty of Medicine, Bezmialem Vakif University, Istanbul, Turkey
| | - Veliye Yigitalp
- Department of Geriatric Medicine, Faculty of Medicine, Bezmialem Vakif University, Adnan Menderes Bulvarı (Vatan Street), 34093, Fatih, Istanbul, Turkey
| | - Lee Smith
- Centre for Health, Performance and Wellbeing, Anglia Ruskin University, Cambridge, UK
| | - Nicola Veronese
- Geriatric Unit, Department of Internal Medicine and Geriatrics, University of Palermo, Palermo, Italy
| | - Masoud Rahmati
- Department of Physical Education and Sport Sciences, Faculty of Literature and Human Sciences, Lorestan University, Khoramabad, Iran
- Department of Physical Education and Sport Sciences, Faculty of Literature and Humanities, Vali-E-Asr University of Rafsanjan, Rafsanjan, Iran
| | - Pinar Soysal
- Department of Geriatric Medicine, Faculty of Medicine, Bezmialem Vakif University, Adnan Menderes Bulvarı (Vatan Street), 34093, Fatih, Istanbul, Turkey.
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386
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Devenyi RA, Hamedani AG. Visual dysfunction in dementia with Lewy bodies. Curr Neurol Neurosci Rep 2024; 24:273-284. [PMID: 38907811 PMCID: PMC11258179 DOI: 10.1007/s11910-024-01349-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/10/2024] [Indexed: 06/24/2024]
Abstract
PURPOSE OF REVIEW To review the literature on visual dysfunction in dementia with Lewy bodies (DLB), including its mechanisms and clinical implications. RECENT FINDINGS Recent studies have explored novel aspects of visual dysfunction in DLB, including visual texture agnosia, mental rotation of 3-dimensional drawn objects, and reading fragmented letters. Recent studies have shown parietal and occipital hypoperfusion correlating with impaired visuoconstruction performance. While visual dysfunction in clinically manifest DLB is well recognized, recent work has focused on prodromal or mild cognitive impairment (MCI) due to Lewy body pathology with mixed results. Advances in retinal imaging have recently led to the identification of abnormalities such as parafoveal thinning in DLB. Patients with DLB experience impairment in color perception, form and object identification, space and motion perception, visuoconstruction tasks, and illusions in association with visual cortex and network dysfunction. These symptoms are associated with visual hallucinations, driving impairment, falls, and other negative outcomes.
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Affiliation(s)
- Ryan A Devenyi
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Ali G Hamedani
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Ophthalmology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
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387
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Monzio Compagnoni G, Appollonio I, Ferrarese C. The role of 123-I-MIBG cardiac scintigraphy in the differential diagnosis between dementia with Lewy bodies and Alzheimer's disease. Neurol Sci 2024; 45:3599-3609. [PMID: 38517586 DOI: 10.1007/s10072-024-07476-x] [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: 02/01/2024] [Accepted: 03/13/2024] [Indexed: 03/24/2024]
Abstract
Although detailed diagnostic guidelines are available, differentiating dementia with Lewy bodies from Alzheimer's disease is often difficult. 123-I-MIBG cardiac scintigraphy is one of the tools which have been proposed for the diagnostic procedure. The present review is aimed at evaluating the available literature about this topic. Studies assessing the use of this technique to differentiate between the two diseases have been examined and reported. Overall, despite a certain study-to-study variability, the available literature suggests that 123-I-MIBG cardiac scintigraphy is an effective tool in differentiating between the two diseases, with high sensitivity and specificity values. Although the large-scale application of this technique is limited by possible interactions with specific medications and comorbidities, the reported studies are supportive for the usefulness of this technique in clinical practice.
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Affiliation(s)
| | - Ildebrando Appollonio
- Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
- Neurology Unit, Fondazione IRCCS San Gerardo Dei Tintori, Monza, Italy
- Milan Center for Neuroscience (NeuroMI), University of Milano-Bicocca, Monza, Italy
| | - Carlo Ferrarese
- Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
- Neurology Unit, Fondazione IRCCS San Gerardo Dei Tintori, Monza, Italy
- Milan Center for Neuroscience (NeuroMI), University of Milano-Bicocca, Monza, Italy
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388
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Alsemari A, Boscarino JJ. Neuropsychological and neuroanatomical underpinnings of the face pareidolia errors on the noise pareidolia test in patients with mild cognitive impairment and dementia due to Lewy bodies. J Clin Exp Neuropsychol 2024; 46:588-598. [PMID: 38949538 DOI: 10.1080/13803395.2024.2372876] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Accepted: 06/20/2024] [Indexed: 07/02/2024]
Abstract
OBJECTIVE Prior research on the Noise Pareidolia Test (NPT) has demonstrated its clinical utility in detecting patients with mild cognitive impairment and dementia due to Lewy Body Disease (LBD). However, few studies to date have investigated the neuropsychological factors underlying pareidolia errors on the NPT across the clinical spectrum of LBD. Furthermore, to our knowledge, no research has examined the relationship between cortical thickness using MRI data and NPT subscores. As such, this study sought to explore the neuropsychological and neuroanatomical factors influencing performance on the NPT utilizing the National Alzheimer's Coordinating Center Lewy Body Dementia Module. METHODS Our sample included participants with normal cognition (NC; n = 56), LBD with mild cognitive impairment (LBD-MCI; n = 97), and LBD with dementia (LBD-Dementia; n = 94). Archival data from NACC were retrospectively analyzed for group differences in neuropsychological test scores and cognitive and psychiatric predictors of NPT scores. Clinicoradiological correlates between NPT subscores and a small subsample of the above LBD participants were also examined. RESULTS Analyses revealed significant differences in NPT scores among groups. Regression analysis demonstrated that dementia severity, attention, and visuospatial processing contributed approximately 24% of NPT performance in LBD groups. Clinicoradiological analysis suggests a potential contribution of the right fusiform gyrus, but not the inferior occipital gyrus, to NPT pareidolia error scores. CONCLUSIONS Our findings highlight the interplay of attention and visuoperceptual functions in complex pareidolia in LBD. Further investigation is needed to refine the utility of NPT scores in clinical settings, including identifying patients at risk for visual illusions and hallucinations.
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Affiliation(s)
- Ahmad Alsemari
- Department of Neurology, Cleveland Clinic, Cleveland, Ohio OH, USA
| | - Joseph J Boscarino
- Department of Neurosurgery and Brain Repair, University of South Florida Morsani College of Medicine, Tampa, Florida FL, USA
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Tosun D, Hausle Z, Iwaki H, Thropp P, Lamoureux J, Lee EB, MacLeod K, McEvoy S, Nalls M, Perrin RJ, Saykin AJ, Shaw LM, Singleton AB, Lebovitz R, Weiner MW, Blauwendraat C. A cross-sectional study of α-synuclein seed amplification assay in Alzheimer's disease neuroimaging initiative: Prevalence and associations with Alzheimer's disease biomarkers and cognitive function. Alzheimers Dement 2024; 20:5114-5131. [PMID: 38770829 PMCID: PMC11350010 DOI: 10.1002/alz.13858] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Revised: 03/22/2024] [Accepted: 03/25/2024] [Indexed: 05/22/2024]
Abstract
INTRODUCTION Alzheimer's disease (AD) pathology is defined by β-amyloid (Aβ) plaques and neurofibrillary tau, but Lewy bodies (LBs; 𝛼-synuclein aggregates) are a common co-pathology for which effective biomarkers are needed. METHODS A validated α-synuclein Seed Amplification Assay (SAA) was used on recent cerebrospinal fluid (CSF) samples from 1638 Alzheimer's Disease Neuroimaging Initiative (ADNI) participants, 78 with LB-pathology confirmation at autopsy. We compared SAA outcomes with neuropathology, Aβ and tau biomarkers, risk-factors, genetics, and cognitive trajectories. RESULTS SAA showed 79% sensitivity and 97% specificity for LB pathology, with superior performance in identifying neocortical (100%) compared to limbic (57%) and amygdala-predominant (60%) LB-pathology. SAA+ rate was 22%, increasing with disease stage and age. Higher Aβ burden but lower CSF p-tau181 associated with higher SAA+ rates, especially in dementia. SAA+ affected cognitive impairment in MCI and Early-AD who were already AD biomarker positive. DISCUSSION SAA is a sensitive, specific marker for LB-pathology. Its increase in prevalence with age and AD stages, and its association with AD biomarkers, highlights the clinical importance of α-synuclein co-pathology in understanding AD's nature and progression. HIGHLIGHTS SAA shows 79% sensitivity, 97% specificity for LB-pathology detection in AD. SAA positivity prevalence increases with disease stage and age. Higher Aβ burden, lower CSF p-tau181 linked with higher SAA+ rates in dementia. SAA+ impacts cognitive impairment in early disease stages. Study underpins need for wider LB-pathology screening in AD treatment.
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Affiliation(s)
- Duygu Tosun
- Department of Radiology and Biomedical ImagingUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Department of Veterans Affairs Medical CenterNorthern California Institute for Research and Education (NCIRE)San FranciscoCaliforniaUSA
| | - Zachary Hausle
- Department of Veterans Affairs Medical CenterNorthern California Institute for Research and Education (NCIRE)San FranciscoCaliforniaUSA
| | - Hirotaka Iwaki
- Center for Alzheimer's and Related DementiasNational Institute on Aging and National Institute of Neurological Disorders and StrokeNational Institutes of HealthBethesdaMarylandUSA
- DataTecnica LLCWashingtonDistrict of ColumbiaUSA
| | - Pamela Thropp
- Department of Veterans Affairs Medical CenterNorthern California Institute for Research and Education (NCIRE)San FranciscoCaliforniaUSA
| | | | - Edward B. Lee
- Department of Pathology and Laboratory MedicinePerelman School of Medicine University of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | | | | | - Michael Nalls
- Center for Alzheimer's and Related DementiasNational Institute on Aging and National Institute of Neurological Disorders and StrokeNational Institutes of HealthBethesdaMarylandUSA
- DataTecnica LLCWashingtonDistrict of ColumbiaUSA
- Laboratory of NeurogeneticsNational Institute on AgingNational Institutes of HealthBethesdaMarylandUSA
| | - Richard J. Perrin
- Department of Pathology & ImmunologyWashington University in St. LouisSt. LouisMissouriUSA
- Department of NeurologyWashington University in St. LouisSt. LouisMissouriUSA
| | - Andrew J. Saykin
- Center for NeuroimagingDepartment of Radiology and Imaging SciencesIndiana University School of MedicineIndianapolisIndianaUSA
- Indiana Alzheimer's Disease CenterIndiana University School of MedicineIndianapolisIndianaUSA
- Department of Medical and Molecular GeneticsIndiana University School of MedicineIndianapolisIndianaUSA
| | - Leslie M. Shaw
- Department of Pathology and Laboratory MedicinePerelman School of Medicine University of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Andrew B. Singleton
- Center for Alzheimer's and Related DementiasNational Institute on Aging and National Institute of Neurological Disorders and StrokeNational Institutes of HealthBethesdaMarylandUSA
- Laboratory of NeurogeneticsNational Institute on AgingNational Institutes of HealthBethesdaMarylandUSA
| | | | - Michael W. Weiner
- Department of Radiology and Biomedical ImagingUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Department of Veterans Affairs Medical CenterNorthern California Institute for Research and Education (NCIRE)San FranciscoCaliforniaUSA
| | - Cornelis Blauwendraat
- Center for Alzheimer's and Related DementiasNational Institute on Aging and National Institute of Neurological Disorders and StrokeNational Institutes of HealthBethesdaMarylandUSA
- Laboratory of NeurogeneticsNational Institute on AgingNational Institutes of HealthBethesdaMarylandUSA
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Johnson ML, Lewis MM, Wang EW, Jellen LC, Du G, De Jesus S, Kong L, Pu C, Huang X. Neuropathological findings and in vivo imaging correlates of the red nucleus compared to those of the substantia nigra pars compacta in parkinsonisms. Parkinsonism Relat Disord 2024; 125:107043. [PMID: 38896976 PMCID: PMC11283947 DOI: 10.1016/j.parkreldis.2024.107043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Revised: 06/03/2024] [Accepted: 06/14/2024] [Indexed: 06/21/2024]
Abstract
INTRODUCTION The substantia nigra pars compacta (SNc) is the key pathologic locus in neurodegenerative parkinsonian disorders. Recently, in vivo susceptibility MRI metrics were associated with postmortem glial cell density and tau burden in the SNc of parkinsonism subjects. This study investigated the red nucleus (RN), another iron-rich region adjacent to the SNc and a potential site of higher functionality in parkinsonisms. METHODS In vivo MRI and postmortem data were obtained from 34 parkinsonism subjects and 3 controls. Neuron density, glial cell density, and percentages of area occupied by α-synuclein and tau were quantified using digitized midbrain slides. R2* and quantitative susceptibility mapping (QSM) metrics in the RN and SNc were derived from multi-gradient echo images. Histopathology data were compared between the RN and SNc using paired t-tests. MRI-histology associations were analyzed using partial Pearson correlations. RESULTS The RN had greater neuron (t23 = 3.169, P = 0.004) and glial cell densities (t23 = 2.407, P = 0.025) than the SNc, whereas the SNc had greater α-synuclein (t28 = 4.614, P < 0.0001) and tau burden (t24 = 4.513, P = 0.0001). In both the RN (R2*: r = 0.47, P = 0.043; QSM: r = 0.52, P = 0.024) and SNc (R2*: r = 0.57, P = 0.01; QSM: r = 0.58, P = 0.009), MRI values were associated with glial cell density but not neuron density or α-synuclein (Ps > 0.092). QSM associated with tau burden (r = 0.49, P = 0.038) in the SNc, but not the RN. CONCLUSIONS The RN is resilient to parkinsonian-related pathological processes compared to the SNc, and susceptibility MRI captured glial cell density in both regions. These findings help to further our understanding of the underlying pathophysiological processes in parkinsonisms.
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Affiliation(s)
- Melinda L Johnson
- Department of Neurology, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey, PA, USA; Translational Brain Research Center, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey, PA, USA
| | - Mechelle M Lewis
- Department of Neurology, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey, PA, USA; Department of Pharmacology, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey, PA, USA; Translational Brain Research Center, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey, PA, USA
| | - Ernest W Wang
- Department of Neurology, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey, PA, USA; Translational Brain Research Center, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey, PA, USA
| | - Leslie C Jellen
- Department of Neurology, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey, PA, USA; Translational Brain Research Center, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey, PA, USA
| | - Guangwei Du
- Department of Neurology, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey, PA, USA; Department of Radiology, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey, PA, USA; Translational Brain Research Center, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey, PA, USA
| | - Sol De Jesus
- Department of Neurology, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey, PA, USA
| | - Lan Kong
- Department of Public Health Science, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey, PA, USA
| | - Cunfeng Pu
- Department of Pathology and Laboratory Medicine, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey, PA, USA
| | - Xuemei Huang
- Department of Neurology, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey, PA, USA; Department of Pharmacology, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey, PA, USA; Department of Radiology, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey, PA, USA; Department of Neurosurgery, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey, PA, USA; Translational Brain Research Center, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey, PA, USA; Department of Kinesiology, Penn State University, University Park, PA, USA.
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391
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Libri I, Silvestri C, Caratozzolo S, Alberici A, Pilotto A, Archetti S, Trainini L, Borroni B, Padovani A, Benussi A. Association of APOE genotype with blood-brain barrier permeability in neurodegenerative disorders. Neurobiol Aging 2024; 140:33-40. [PMID: 38718740 DOI: 10.1016/j.neurobiolaging.2024.04.003] [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: 01/22/2024] [Revised: 04/06/2024] [Accepted: 04/07/2024] [Indexed: 06/12/2024]
Abstract
Apolipoprotein E (APOE) is recognized for its role in modulating blood-brain barrier (BBB) permeability in vitro, which may have significant implications for the pathogenesis and progression of neurodegenerative disorders. However, evidence in vivo is contrasting. This study explores the impact of APOE genotypes on BBB integrity among 230 participants experiencing cognitive impairment, encompassing cases of Alzheimer's disease (AD) as well as various non-AD neurodegenerative conditions. To assess BBB integrity, we utilized cerebrospinal fluid (CSF)/serum albumin ratios and CSF/serum kappa and lambda free light chains (FLCs) as indirect markers. Our findings show a dose-dependent increase in BBB permeability in individuals carrying the APOE ε4 allele, marked by elevated CSF/serum albumin and FLCs ratios, with this trend being especially pronounced in AD patients. These results highlight the association of APOE ε4 with BBB permeability, providing valuable insights into the pathophysiology of neurodegenerative diseases.
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Affiliation(s)
- Ilenia Libri
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Chiara Silvestri
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Salvatore Caratozzolo
- Neurology Unit, Department of Continuity of Care and Frailty, ASST Spedali Civili, Brescia, Italy
| | - Antonella Alberici
- Neurology Unit, Department of Continuity of Care and Frailty, ASST Spedali Civili, Brescia, Italy
| | - Andrea Pilotto
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy; Neurology Unit, Department of Continuity of Care and Frailty, ASST Spedali Civili, Brescia, Italy
| | - Silvana Archetti
- Biotechnology Laboratory and Department of Diagnostics, ASST Spedali Civili, Brescia, Italy
| | - Laura Trainini
- Biotechnology Laboratory and Department of Diagnostics, ASST Spedali Civili, Brescia, Italy
| | - Barbara Borroni
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy; Cognitive and Behavioral Neurology Unit, Department of Continuity of Care and Frailty, ASST Spedali Civili, Brescia, Italy
| | - Alessandro Padovani
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy; Neurology Unit, Department of Continuity of Care and Frailty, ASST Spedali Civili, Brescia, Italy; Brain Health Center, University of Brescia, Brescia, Italy
| | - Alberto Benussi
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy; Neurology Clinic, Department of Medicine, Surgery and Health Sciences, Trieste University Hospital, Trieste, Italy.
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392
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Phongpreecha T, Mathi K, Cholerton B, Fox EJ, Sigal N, Espinosa C, Reincke M, Chung P, Hwang LJ, Gajera CR, Berson E, Perna A, Xie F, Shu CH, Hazra D, Channappa D, Dunn JE, Kipp LB, Poston KL, Montine KS, Maecker HT, Aghaeepour N, Montine TJ. Single-cell peripheral immunoprofiling of lewy body and Parkinson's disease in a multi-site cohort. Mol Neurodegener 2024; 19:59. [PMID: 39090623 PMCID: PMC11295553 DOI: 10.1186/s13024-024-00748-2] [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: 02/06/2024] [Accepted: 07/22/2024] [Indexed: 08/04/2024] Open
Abstract
BACKGROUND Multiple lines of evidence support peripheral organs in the initiation or progression of Lewy body disease (LBD), a spectrum of neurodegenerative diagnoses that include Parkinson's Disease (PD) without or with dementia (PDD) and dementia with Lewy bodies (DLB). However, the potential contribution of the peripheral immune response to LBD remains unclear. This study aims to characterize peripheral immune responses unique to participants with LBD at single-cell resolution to highlight potential biomarkers and increase mechanistic understanding of LBD pathogenesis in humans. METHODS In a case-control study, peripheral mononuclear cell (PBMC) samples from research participants were randomly sampled from multiple sites across the United States. The diagnosis groups comprise healthy controls (HC, n = 159), LBD (n = 110), Alzheimer's disease dementia (ADD, n = 97), other neurodegenerative disease controls (NDC, n = 19), and immune disease controls (IDC, n = 14). PBMCs were activated with three stimulants (LPS, IL-6, and IFNa) or remained at basal state, stained by 13 surface markers and 7 intracellular signal markers, and analyzed by flow cytometry, which generated 1,184 immune features after gating. RESULTS The model classified LBD from HC with an AUROC of 0.87 ± 0.06 and AUPRC of 0.80 ± 0.06. Without retraining, the same model was able to distinguish LBD from ADD, NDC, and IDC. Model predictions were driven by pPLCγ2, p38, and pSTAT5 signals from specific cell populations under specific activation. The immune responses characteristic for LBD were not associated with other common medical conditions related to the risk of LBD or dementia, such as sleep disorders, hypertension, or diabetes. CONCLUSIONS AND RELEVANCE Quantification of PBMC immune response from multisite research participants yielded a unique pattern for LBD compared to HC, multiple related neurodegenerative diseases, and autoimmune diseases thereby highlighting potential biomarkers and mechanisms of disease.
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Affiliation(s)
- Thanaphong Phongpreecha
- Department of Pathology, Stanford University, Stanford, CA, USA
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
| | - Kavita Mathi
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA
| | | | - Eddie J Fox
- Department of Pathology, Stanford University, Stanford, CA, USA
| | - Natalia Sigal
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA
| | - Camilo Espinosa
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
- Department of Pediatrics, Stanford University, Stanford, CA, USA
| | - Momsen Reincke
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
- Department of Pediatrics, Stanford University, Stanford, CA, USA
| | - Philip Chung
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, CA, USA
| | - Ling-Jen Hwang
- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
| | | | - Eloise Berson
- Department of Pathology, Stanford University, Stanford, CA, USA
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
| | - Amalia Perna
- Department of Pathology, Stanford University, Stanford, CA, USA
| | - Feng Xie
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
- Department of Pediatrics, Stanford University, Stanford, CA, USA
| | - Chi-Hung Shu
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
- Department of Pediatrics, Stanford University, Stanford, CA, USA
| | - Debapriya Hazra
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
- Department of Pediatrics, Stanford University, Stanford, CA, USA
| | - Divya Channappa
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Jeffrey E Dunn
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Lucas B Kipp
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Kathleen L Poston
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | | | - Holden T Maecker
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA
| | - Nima Aghaeepour
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
- Department of Pediatrics, Stanford University, Stanford, CA, USA
| | - Thomas J Montine
- Department of Pathology, Stanford University, Stanford, CA, USA.
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Ikeda M, Toya S, Manabe Y, Yamakage H, Hashimoto M. Post hoc analysis of the characteristics and treatment needs of patients with dementia with Lewy bodies (DLB) and their caregivers and their physicians' awareness of those treatment needs according to the duration after diagnosis of DLB. Int J Geriatr Psychiatry 2024; 39:e6122. [PMID: 39085743 DOI: 10.1002/gps.6122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Accepted: 07/02/2024] [Indexed: 08/02/2024]
Abstract
OBJECTIVES To investigate the differences in patient/caregiver characteristics, their treatment needs, and the attending physician's understanding of those treatment needs according to the duration after diagnosis of dementia with Lewy bodies (DLB). METHODS This was a post hoc analysis of a multicenter, cross-sectional, questionnaire survey study. A total of 263 patient-caregiver pairs were reclassified into two groups according to the median duration after diagnosis of DLB as follows: short (<24 months; S-group) and long (≥24 months; L-group) post-DLB diagnosis duration. Treatment need was defined as the symptom domain that caused the patient or caregiver the most distress. Concordance rates between patient-physician and caregiver-physician were calculated for physicians' understanding of treatment needs. RESULTS In this analysis, 126 pairs (32 physicians) and 137 pairs (34 physicians) were classified as the S- and L-groups, respectively. Patient and caregiver characteristics were broadly similar between groups (mean age for patients 78.7 ± 6.6 vs. 79.8 ± 6.7, for caregivers 64.7 ± 12.9 vs. 64.9 ± 12.8; number of male/female for patients 61/65 vs. 67/70, for caregivers 34/92 vs. 38/99), but the prevalence of parkinsonism (82.5% vs. 66.7%) and autonomic dysfunction (49.6% vs. 33.3%), severity of parkinsonism (MDS-UPDRS Part III total scores, 29.2 ± 22.6 vs. 18.0 ± 16.4; Part II total score, 14.6 ± 12.0 vs. 7.6 ± 7.9), and caregiver burden (J-ZBI_8 score, 9.1 ± 6.7 vs. 7.5 ± 5.8) were higher in the L-group than the S-group. Regarding treatment needs, the invalid answer rates for patients were 34.9% and 46.8%, and those for caregivers were 28.6% and 34.9% in the S- and L groups, respectively. Patients' treatment needs did not significantly differ (p = 0.056), but S-group patients were more likely to select cognitive impairment (p = 0.045) as their treatment need, whereas L-group patients were more likely to select parkinsonism (p = 0.003). Caregivers' treatment needs significantly differed (p = 0.032) between groups. S-group caregivers were more likely to select cognitive impairment (p = 0.001), whereas L-group caregivers were more likely to select other symptom domains such as parkinsonism (S-group vs. L-group: 10.3% vs. 16.7%), psychiatric symptoms (20.6% vs. 24.6%), sleep-related disorder (4.0% vs. 7.1%), and autonomic dysfunction (4.8% vs. 9.5%). Concordance rates between patient-physician and caregiver-physician were low in both groups. CONCLUSIONS There were some differences in characteristics according to the duration after diagnosis of DLB. Cognitive dysfunction may be a particular concern for patients and caregivers soon after diagnosis of DLB. Treatment needs of patients and caregivers for parkinsonism, psychiatric symptoms, sleep-related disorder, or autonomic dysfunction were different according to the duration after diagnosis of DLB. Physicians' perception of patients'/caregivers' treatment needs was poor regardless of the duration after diagnosis of DLB. CLINICAL TRIAL REGISTRATION UMIN Clinical Trials Registry (UMIN000041844).
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Affiliation(s)
- Manabu Ikeda
- Department of Psychiatry, Osaka University Graduate School of Medicine, Suita, Osaka, Japan
| | - Shunji Toya
- Medical Science, Sumitomo Pharma Co., Ltd., Chuo-ku, Tokyo, Japan
| | - Yuta Manabe
- Department of Advanced Clinical Medicine, Division of Dementia and Geriatric Medicine, Kanagawa Dental University School of Dentistry, Yokosuka, Kanagawa, Japan
| | - Hajime Yamakage
- Insight Clinical Development Group, 3H Medi Solution Inc., Toshima-ku, Tokyo, Japan
| | - Mamoru Hashimoto
- Department of Psychiatry, Osaka University Graduate School of Medicine, Suita, Osaka, Japan
- Department of Neuropsychiatry, Kindai University Faculty of Medicine, Osakasayama, Osaka, Japan
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394
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Ono D, Dickson DW, Koga S. Evaluating the efficacy of few-shot learning for GPT-4Vision in neurodegenerative disease histopathology: A comparative analysis with convolutional neural network model. Neuropathol Appl Neurobiol 2024; 50:e12997. [PMID: 39010256 DOI: 10.1111/nan.12997] [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: 05/14/2024] [Revised: 06/21/2024] [Accepted: 07/01/2024] [Indexed: 07/17/2024]
Abstract
AIMS Recent advances in artificial intelligence, particularly with large language models like GPT-4Vision (GPT-4V)-a derivative feature of ChatGPT-have expanded the potential for medical image interpretation. This study evaluates the accuracy of GPT-4V in image classification tasks of histopathological images and compares its performance with a traditional convolutional neural network (CNN). METHODS We utilised 1520 images, including haematoxylin and eosin staining and tau immunohistochemistry, from patients with various neurodegenerative diseases, such as Alzheimer's disease (AD), progressive supranuclear palsy (PSP) and corticobasal degeneration (CBD). We assessed GPT-4V's performance using multi-step prompts to determine how textual context influences image interpretation. We also employed few-shot learning to enhance improvements in GPT-4V's diagnostic performance in classifying three specific tau lesions-astrocytic plaques, neuritic plaques and tufted astrocytes-and compared the outcomes with the CNN model YOLOv8. RESULTS GPT-4V accurately recognised staining techniques and tissue origin but struggled with specific lesion identification. The interpretation of images was notably influenced by the provided textual context, which sometimes led to diagnostic inaccuracies. For instance, when presented with images of the motor cortex, the diagnosis shifted inappropriately from AD to CBD or PSP. However, few-shot learning markedly improved GPT-4V's diagnostic capabilities, enhancing accuracy from 40% in zero-shot learning to 90% with 20-shot learning, matching the performance of YOLOv8, which required 100-shot learning to achieve the same accuracy. CONCLUSIONS Although GPT-4V faces challenges in independently interpreting histopathological images, few-shot learning significantly improves its performance. This approach is especially promising for neuropathology, where acquiring extensive labelled datasets is often challenging.
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Affiliation(s)
- Daisuke Ono
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida, USA
| | - Dennis W Dickson
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida, USA
| | - Shunsuke Koga
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida, USA
- Department of Pathology and Laboratory Medicine, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA
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Matsumoto S, Yakabe M, Hosoi T, Fujimori K, Tamaki J, Nakatoh S, Ishii S, Okimoto N, Akishita M, Iki M, Ogawa S. Relationship between donepezil and fracture risk in patients with dementia with Lewy bodies. Geriatr Gerontol Int 2024; 24:782-788. [PMID: 38924621 PMCID: PMC11503602 DOI: 10.1111/ggi.14929] [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: 05/13/2024] [Revised: 06/07/2024] [Accepted: 06/13/2024] [Indexed: 06/28/2024]
Abstract
AIM Patients with dementia with Lewy bodies (DLB) are at a high risk for falls and fractures. Although cholinesterase inhibitors reportedly are effective in suppressing the progression of cognitive symptoms in DLB patients, their effects on fracture risk remain unclarified. This study aimed to evaluate the association between donepezil use and hip fracture risk in older patients with DLB. METHODS Using the Japanese insurance claim database, we collected the data of patients aged ≥65 years with DLB from April 2012 to March 2019. After propensity score matching, we compared the fracture rate over 3 years between DLB patients receiving donepezil and those not receiving antidementia drugs. RESULTS Altogether, 24 022 239 individuals aged ≥65 years were newly registered from April 2012 to March 2016 and had verifiable information from 6 months before to 3 years after the registration. We identified 6634 pure-DLB patients and analyzed the data of 1182 propensity score-matched pairs. The characteristics, including age, sex, fracture history, osteoporosis, and bone mineral density test rate, of the two groups were well balanced by propensity score matching. The incidence rate of hip fracture was significantly lower in DLB patients receiving donepezil than in those not receiving antidementia drugs (0.60 vs. 1.44/100 person-years, P < 0.001), whereas that of vertebral fractures was the same. CONCLUSIONS Donepezil administration in Japanese people aged ≥65 years with DLB was significantly associated with a decreased risk of hip fracture. Donepezil may provide new benefits to DLB patients. Geriatr Gerontol Int 2024; 24: 782-788.
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Affiliation(s)
- Shoya Matsumoto
- Department of Geriatric Medicine, Graduate School of MedicineThe University of TokyoTokyoJapan
| | - Mitsutaka Yakabe
- Department of Geriatric Medicine, Graduate School of MedicineThe University of TokyoTokyoJapan
| | - Tatsuya Hosoi
- Department of Geriatric Medicine, Graduate School of MedicineThe University of TokyoTokyoJapan
| | - Kenji Fujimori
- Tohoku University School of MedicineDepartment of Health Administration and PolicySendaiJapan
- National Database Japan – Osteoporosis Management (NDBJ‐OS) Study GroupKindai University Faculty of MedicineOsakaJapan
| | - Junko Tamaki
- National Database Japan – Osteoporosis Management (NDBJ‐OS) Study GroupKindai University Faculty of MedicineOsakaJapan
- Department of Hygiene and Public Health, Faculty of MedicineOsaka Medical and Pharmaceutical UniversityOsakaJapan
| | - Shunichi Nakatoh
- National Database Japan – Osteoporosis Management (NDBJ‐OS) Study GroupKindai University Faculty of MedicineOsakaJapan
- Department of Orthopedic SurgeryAsahi General HospitalToyamaJapan
| | - Shigeyuki Ishii
- National Database Japan – Osteoporosis Management (NDBJ‐OS) Study GroupKindai University Faculty of MedicineOsakaJapan
- Department of Regulatory Science, School of PharmacyTokyo University of Pharmacy and Life SciencesTokyoJapan
| | - Nobukazu Okimoto
- National Database Japan – Osteoporosis Management (NDBJ‐OS) Study GroupKindai University Faculty of MedicineOsakaJapan
- Okimoto ClinicHiroshimaJapan
| | - Masahiro Akishita
- Department of Geriatric Medicine, Graduate School of MedicineThe University of TokyoTokyoJapan
| | - Masayuki Iki
- National Database Japan – Osteoporosis Management (NDBJ‐OS) Study GroupKindai University Faculty of MedicineOsakaJapan
- Kindai University Faculty of MedicineOsakaJapan
| | - Sumito Ogawa
- Department of Geriatric Medicine, Graduate School of MedicineThe University of TokyoTokyoJapan
- National Database Japan – Osteoporosis Management (NDBJ‐OS) Study GroupKindai University Faculty of MedicineOsakaJapan
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396
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Baiardi S, Hansson O, Levin J, Parchi P. In vivo detection of Alzheimer's and Lewy body disease concurrence: Clinical implications and future perspectives. Alzheimers Dement 2024; 20:5757-5770. [PMID: 38955137 PMCID: PMC11350051 DOI: 10.1002/alz.14039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Revised: 04/27/2024] [Accepted: 05/09/2024] [Indexed: 07/04/2024]
Abstract
INTRODUCTION The recent introduction of seed amplification assays (SAAs) detecting misfolded α-synuclein, a pathology-specific marker for Lewy body disease (LBD), has allowed the in vivo identification and phenotypic characterization of patients with co-occurring Alzheimer's disease (AD) and LBD since the early clinical or even preclinical stage. METHODS We reviewed studies with an in vivo biomarker-based diagnosis of AD-LBD copathology. RESULTS Studies in large cohorts of cognitively impaired individuals have shown that cerebrospinal fluid (CSF) biomarkers detect the coexistence of AD and LB pathology in approximately 20%-25% of them, independently of the primary clinical diagnosis. Compared to those with pure AD, AD-LBD patients showed worse global cognition, especially in attentive/executive and visuospatial functions, and worse motor functions. In cognitively unimpaired individuals, concurrent AD-LBD pathologies predicted longitudinal cognitive progression with faster worsening of global cognition, memory, and attentive/executive functions. DISCUSSION Future research studies aiming for a better precision medicine approach should develop SAAs further to reach a quantitative evaluation or staging of each underlying pathology using a single biofluid sample. HIGHLIGHTS α-Synuclein seed amplification assays (SAAs) provide a specific marker for Lewy body disease (LBD). SAAs allow for the in vivo identification of co-occurring LBD in patients with Alzheimer's disease (AD). AD-LBD coexist in 20-25% of cognitively impaired elderly individuals, and ∼8% of those asymptomatic. Compared to pure AD, AD-LBD causes a faster worsening of cognitive functions. AD-LBD is associated with worse attentive/executive, memory, visuospatial and motor functions.
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Affiliation(s)
- Simone Baiardi
- Department of Biomedical and Neuromotor SciencesUniversity of BolognaBolognaItaly
- IRCCS Istituto delle Scienze Neurologiche di BolognaBolognaItaly
| | - Oskar Hansson
- Clinical Memory Research UnitDepartment of Clinical Sciences MalmöFaculty of MedicineLund UniversityLundSweden
- Memory ClinicSkåne University HospitalLundSweden
| | - Johannes Levin
- Department of NeurologyLudwig‐Maximilians‐University MunichMunichGermany
- German Center for Neurodegenerative Diseases (DZNE)MunichGermany
- Munich Cluster of Systems Neurology (SyNergy)MunichGermany
| | - Piero Parchi
- Department of Biomedical and Neuromotor SciencesUniversity of BolognaBolognaItaly
- IRCCS Istituto delle Scienze Neurologiche di BolognaBolognaItaly
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397
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Torso M, Fumagalli G, Ridgway GR, Contarino VE, Hardingham I, Scarpini E, Galimberti D, Chance SA, Arighi A. Clinical utility of diffusion MRI-derived measures of cortical microstructure in a real-world memory clinic setting. Ann Clin Transl Neurol 2024; 11:1964-1976. [PMID: 39049198 PMCID: PMC11330221 DOI: 10.1002/acn3.52097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Revised: 04/09/2024] [Accepted: 05/12/2024] [Indexed: 07/27/2024] Open
Abstract
OBJECTIVE To investigate cortical microstructural measures from diffusion MRI as "neurodegeneration" markers that could improve prognostic accuracy in mild cognitive impairment (MCI). METHODS The prognostic power of Amyloid/Tau/Neurodegeneration (ATN) biomarkers to predict progression from MCI to AD or non-AD dementia was investigated. Ninety patients underwent clinical evaluation (follow-up interval 32 ± 18 months), lumbar puncture, and MRI. Participants were grouped by clinical stage and cerebrospinal fluid Amyloid and Tau status. T1-structural and diffusion MRI scans were analyzed to calculate diffusion metrics related to cortical columnar structure (AngleR, ParlPD, PerpPD+), cortical mean diffusivity, and fractional anisotropy. Statistical tests were corrected for multiple comparisons. Prognostic power was assessed using receiver operating characteristic (ROC) analysis and related indices. RESULTS A progressive increase of whole-brain cortical diffusion values was observed along the AD continuum, with all A+ groups showing significantly higher AngleR than A-T-. Investigating clinical progression to dementia, the AT biomarkers together showed good positive predictive value (with 90.91% of MCI A+T+ converting to dementia) but poor negative predictive value (with 40% of MCI A-T- progressing to a mix of AD and non-AD dementias). Adding whole-brain AngleR as an N marker, produced good differentiation between stable and converting MCI A-T- patients (0.8 area under ROC curve) and substantially improved negative predictive value (+21.25%). INTERPRETATION Results support the clinical utility of cortical microstructure to aid prognosis, especially in A-T- patients. Further work will investigate other complexities of the real-world clinical setting, including A-T+ groups. Diffusion MRI measures of neurodegeneration may complement fluid AT markers to support clinical decision-making.
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Affiliation(s)
| | - Giorgio Fumagalli
- Center For Mind/Brain Sciences‐CIMeCUniversity of TrentoRoveretoItaly
| | | | | | | | - Elio Scarpini
- Neurodegenerative Disease UnitFondazione IRCCS Ca’ Granda Ospedale Maggiore PoliclinicoMilanItaly
| | - Daniela Galimberti
- Neurodegenerative Disease UnitFondazione IRCCS Ca’ Granda Ospedale Maggiore PoliclinicoMilanItaly
- Dept. of Biomedical, Surgical and Dental SciencesUniversity of MilanMilanItaly
| | | | - Andrea Arighi
- Neurodegenerative Disease UnitFondazione IRCCS Ca’ Granda Ospedale Maggiore PoliclinicoMilanItaly
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398
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Li W, Petersen RC, Algeciras-Schimnich A, Cogswell PM, Bornhorst JA, Kremers WK, Boeve BF, Jones DT, Botha H, Ramanan VK, Knopman DS, Savica R, Josephs KA, Cliatt-Brown C, Andersen E, Day GS, Graff-Radford NR, Ertekin-Taner N, Lachner C, Wicklund M, van Harten A, Woodruff BK, Caselli RJ, Graff-Radford J. Alzheimer Disease Cerebrospinal Fluid Biomarkers in a Tertiary Neurology Practice. Mayo Clin Proc 2024; 99:1284-1296. [PMID: 38935019 PMCID: PMC11584168 DOI: 10.1016/j.mayocp.2023.12.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 12/04/2023] [Accepted: 12/28/2023] [Indexed: 06/28/2024]
Abstract
OBJECTIVE To evaluate the performance of Alzheimer disease (AD) cerebrospinal fluid (CSF) biomarkers in a tertiary neurology clinic setting with high frequency of non-AD cases, including normal pressure hydrocephalus (NPH). METHODS There were 534 patients who underwent AD CSF biomarkers (Roche Elecsys Aβ42, p-Tau181, total-Tau) from April 1, 2020, through April 23, 2021. A behavioral neurologist blinded to CSF results assigned a clinical diagnosis retrospectively on the basis of consensus criteria, and a neuroradiologist blinded to the diagnosis and CSF studies graded brain magnetic resonance images for indicators of CSF dynamics disorders. Associations between biomarkers, diagnoses, and imaging were assessed by χ2, analysis of covariance, and linear regression methods. RESULTS Median age at time of testing was 67 years (range, 19 to 96 years), median symptom duration was 2 years (range, 0.4 to 28 years), and median Short Test of Mental Status score was 30 (range, 0 to 38). Clinical diagnoses significantly correlated with different CSF biomarker values (χ2=208.3; P=10e-4). p-Tau181/Aβ42 ratios above 0.023 positively correlated with Alzheimer dementia (more than individual measures). This ratio also had the best performance for differentiating Alzheimer dementia from NPH (area under the curve, 0.869). Imaging markers supportive of CSF dynamics disorders correlated with low Aβ42, p-Tau181, and total-Tau. CONCLUSION In a heterogeneous clinical population, abnormal p-Tau181/Aβ42 ratios (>0.023) have the strongest association with Alzheimer dementia and probably represent a comorbid AD pathologic component in persons clearly matching non-AD neurodegenerative syndromes. Altered CSF dynamics were associated with lower concentrations of AD CSF biomarkers regardless of clinical diagnosis, but the ratio compensates for these changes. In the appropriate clinical setting, an isolated abnormal Aβ42 should prompt consideration of NPH.
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Affiliation(s)
- Wentao Li
- Department of Neurology, Mayo Clinic, Rochester, MN; Department of Neurology, Kaiser Permanente South Sacramento, Sacramento, CA
| | | | | | | | - Joshua A Bornhorst
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Walter K Kremers
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN
| | | | | | - Hugo Botha
- Department of Neurology, Mayo Clinic, Rochester, MN
| | | | | | | | | | | | | | - Gregory S Day
- Department of Neurology, Mayo Clinic, Jacksonville, FL
| | | | - Nilüfer Ertekin-Taner
- Department of Neurology, Mayo Clinic, Jacksonville, FL; Department of Neuroscience, Mayo Clinic, Jacksonville, FL
| | | | | | - Argonde van Harten
- Department of Neurology and Alzheimer Center Amsterdam UMC, The Netherlands
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399
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Näkki K, Mäki‐Petäjä‐Leinonen A, Ervasti K, Halkoaho A, Nurmi S, Solomon A, Suhonen N, Portaankorva AM, Krüger J, Solje E. Diverging medical and legal perceptions of the need for legal guardianship in people with dementia: A qualitative study. Eur J Neurol 2024; 31:e16334. [PMID: 38733099 PMCID: PMC11236050 DOI: 10.1111/ene.16334] [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: 03/19/2024] [Revised: 04/24/2024] [Accepted: 04/26/2024] [Indexed: 05/13/2024]
Abstract
BACKGROUND Dementia is assumed to alter mental capacity, which may necessitate legal guardianship. However, only limited research exists on how dementia affects mental capacity, and most studies have focused solely on a medical perspective and concentrate on memory functions. The aim of this qualitative study was to investigate physicians' and legal experts' perceptions on a broad range of cognitive and neuropsychiatric domains potentially affecting mental capacity and the need for guardianship in people with dementia. METHODS Physicians (N = 30) and legal experts (N = 20) participated in semi-structured individual interviews. The data were analyzed by using content analysis and further semi-quantified according to the cognitive and neuropsychiatric domains. RESULTS Physicians considered neuropsychiatric symptoms and executive dysfunction to be the most important deficits in the legal context, while legal experts highlighted episodic memory impairment and dyscalculia. Perceptions regarding the importance of several cognitive and neuropsychiatric symptoms varied between and within the professional groups. CONCLUSIONS Physicians and legal experts diverged in their perceptions of cognitive and neuropsychiatric domains affecting mental capacity and the need for guardianship. The evaluation and influence of medical evidence among legal experts heavily rely on subjective opinions. Given the substantial potential impact on patients' equal access to their rights, developing standardized guidelines is essential.
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Affiliation(s)
- Kaisa Näkki
- Center of Law and Welfare, Law SchoolUniversity of Eastern FinlandJoensuuFinland
| | | | - Kaijus Ervasti
- Center of Law and Welfare, Law SchoolUniversity of Eastern FinlandJoensuuFinland
| | - Arja Halkoaho
- Tampere University of Applied SciencesTampereFinland
| | - Sanna‐Maria Nurmi
- Institute of Clinical Medicine – NeurologyUniversity of Eastern FinlandKuopioFinland
| | - Alina Solomon
- Institute of Clinical Medicine – NeurologyUniversity of Eastern FinlandKuopioFinland
- Division of Clinical GeriatricsKarolinska InstitutetStockholmSweden
- Ageing Epidemiology Research UnitImperial College LondonLondonUK
| | - Noora‐Maria Suhonen
- Neurocenter, NeurologyOulu University HospitalOuluFinland
- Research Unit of Clinical MedicineNeurology, University of OuluOuluFinland
| | | | - Johanna Krüger
- Neurocenter, NeurologyOulu University HospitalOuluFinland
- Research Unit of Clinical MedicineNeurology, University of OuluOuluFinland
- Medical Research Center (MRC) OuluOulu University HospitalOuluFinland
| | - Eino Solje
- Institute of Clinical Medicine – NeurologyUniversity of Eastern FinlandKuopioFinland
- Neuro Center – NeurologyKuopio University HospitalKuopioFinland
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400
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Hirata K, Matsuoka K, Tagai K, Endo H, Tatebe H, Ono M, Kokubo N, Kataoka Y, Oyama A, Shinotoh H, Takahata K, Obata T, Dehghani M, Near J, Kawamura K, Zhang MR, Shimada H, Shimizu H, Kakita A, Yokota T, Tokuda T, Higuchi M, Takado Y. In Vivo Assessment of Astrocyte Reactivity in Patients with Progressive Supranuclear Palsy. Ann Neurol 2024; 96:247-261. [PMID: 38771066 DOI: 10.1002/ana.26962] [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: 12/21/2023] [Revised: 03/12/2024] [Accepted: 04/16/2024] [Indexed: 05/22/2024]
Abstract
OBJECTIVE Although astrocytic pathology is a pathological hallmark of progressive supranuclear palsy (PSP), its pathophysiological role remains unclear. This study aimed to assess astrocyte reactivity in vivo in patients with PSP. Furthermore, we investigated alterations in brain lactate levels and their relationship with astrocyte reactivity. METHODS We included 30 patients with PSP-Richardson syndrome and 30 healthy controls; in patients, tau deposition was confirmed through 18F-florzolotau positron emission tomography. Myo-inositol, an astroglial marker, and lactate were quantified in the anterior cingulate cortex through magnetic resonance spectroscopy. We measured plasma biomarkers, including glial fibrillary acidic protein as another astrocytic marker. The anterior cingulate cortex was histologically assessed in postmortem samples of another 3 patients with PSP with comparable disease durations. RESULTS The levels of myo-inositol and plasma glial fibrillary acidic protein were significantly higher in patients than those in healthy controls (p < 0.05); these increases were significantly associated with PSP rating scale and cognitive function scores (p < 0.05). The lactate level was high in patients, and correlated significantly with high myo-inositol levels. Histological analysis of the anterior cingulate cortex in patients revealed reactive astrocytes, despite mild tau deposition, and no marked synaptic loss. INTERPRETATION We discovered high levels of astrocyte biomarkers in patients with PSP, suggesting astrocyte reactivity. The association between myo-inositol and lactate levels suggests a link between reactive astrocytes and brain energy metabolism changes. Our results indicate that astrocyte reactivity in the anterior cingulate cortex precedes pronounced tau pathology and neurodegenerative processes in that region, and affects brain function in PSP. ANN NEUROL 2024;96:247-261.
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Affiliation(s)
- Kosei Hirata
- Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan
- Department of Neurology and Neurological Science, Tokyo Medical and Dental University, Tokyo, Japan
| | - Kiwamu Matsuoka
- Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan
| | - Kenji Tagai
- Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan
| | - Hironobu Endo
- Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan
| | - Harutsugu Tatebe
- Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan
| | - Maiko Ono
- Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan
- Institute for Quantum Life Science, National Institutes for Quantum Science and Technology, Chiba, Japan
| | - Naomi Kokubo
- Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan
| | - Yuko Kataoka
- Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan
| | - Asaka Oyama
- Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan
| | - Hitoshi Shinotoh
- Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan
- Neurology Clinic Chiba, Chiba, Japan
| | - Keisuke Takahata
- Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan
| | - Takayuki Obata
- Department of Molecular Imaging and Theranostics, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan
| | | | - Jamie Near
- Physical Sciences, Sunnybrook Research Institute, Toronto, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Canada
| | - Kazunori Kawamura
- Department of Advanced Nuclear Medicine Sciences, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan
| | - Ming-Rong Zhang
- Department of Advanced Nuclear Medicine Sciences, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan
| | - Hitoshi Shimada
- Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan
- Center for integrated human brain science, Brain Research Institute, Niigata University, Niigata, Japan
| | - Hiroshi Shimizu
- Department of Pathology, Brain Research Institute, Niigata University, Niigata, Japan
| | - Akiyoshi Kakita
- Department of Pathology, Brain Research Institute, Niigata University, Niigata, Japan
| | - Takanori Yokota
- Department of Neurology and Neurological Science, Tokyo Medical and Dental University, Tokyo, Japan
| | - Takahiko Tokuda
- Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan
| | - Makoto Higuchi
- Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan
| | - Yuhei Takado
- Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan
- Institute for Quantum Life Science, National Institutes for Quantum Science and Technology, Chiba, Japan
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