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Abdelnour C, Young CB, Shahid-Besanti M, Smith A, Wilson EN, Ramos Benitez J, 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] [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., 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, Stanford, 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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Gramkow MH, Clemmensen FK, Sjælland NS, Waldemar G, Hasselbalch SG, Frederiksen KS. Diagnostic performance of light reflex pupillometry in Alzheimer's disease. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2024; 16:e12628. [PMID: 39086497 PMCID: PMC11289725 DOI: 10.1002/dad2.12628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Revised: 07/04/2024] [Accepted: 07/05/2024] [Indexed: 08/02/2024]
Abstract
Easily applied diagnostic tools such as digital biomarkers for Alzheimer's disease (AD) are urgently needed due to the recent approval of disease-modifying therapies. We aimed to determine the diagnostic performance of hand-held, quantitative light reflex pupillometry (qLRP) in patients with AD in a proof-of-concept, cross-sectional study. Participants underwent qLRP at a university memory clinic from August 2022 to October 2023. We fitted multivariable logistic regression models with qLRP, sex, and age as predictors evaluated with area under the receiver operating characteristics curve (AUROC). In total, 107 patients with AD, 44 patients with mixed AD and vascular cognitive dysfunction (VCD), 53 patients with dementia with Lewy bodies (DLB), and 50 healthy controls (HCs) were included. Our diagnostic models showed similar discriminatory ability (AUROC range 0.74-0.81) when distinguishing patients with AD from HCs and other dementias. The qLRP seems promising as a bedside digital biomarker to aid in diagnosing AD. Highlights We demonstrated the diagnostic performance of qLRP in Alzheimer's disease.The diagnostic models were robust in sensitivity analyses.qLRP may assist in the bedside diagnostic evaluation of Alzheimer's disease.
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Affiliation(s)
- Mathias Holsey Gramkow
- Danish Dementia Research Centre, Department of Neurology, Copenhagen University Hospital ‐ RigshospitaletCopenhagenDenmark
| | - Frederikke Kragh Clemmensen
- Danish Dementia Research Centre, Department of Neurology, Copenhagen University Hospital ‐ RigshospitaletCopenhagenDenmark
| | - Nikolai Sulkjær Sjælland
- Danish Dementia Research Centre, Department of Neurology, Copenhagen University Hospital ‐ RigshospitaletCopenhagenDenmark
| | - Gunhild Waldemar
- Danish Dementia Research Centre, Department of Neurology, Copenhagen University Hospital ‐ RigshospitaletCopenhagenDenmark
- Department of Clinical MedicineFaculty of Health and Medical SciencesUniversity of CopenhagenCopenhagenDenmark
| | - Steen Gregers Hasselbalch
- Danish Dementia Research Centre, Department of Neurology, Copenhagen University Hospital ‐ RigshospitaletCopenhagenDenmark
- Department of Clinical MedicineFaculty of Health and Medical SciencesUniversity of CopenhagenCopenhagenDenmark
| | - Kristian Steen Frederiksen
- Danish Dementia Research Centre, Department of Neurology, Copenhagen University Hospital ‐ RigshospitaletCopenhagenDenmark
- Department of Clinical MedicineFaculty of Health and Medical SciencesUniversity of CopenhagenCopenhagenDenmark
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Lleó A, Alcolea D. What Can Blood Biomarkers Tell Us About Patients With Lewy Body Dementia? Neurology 2024; 102:e209505. [PMID: 38830183 DOI: 10.1212/wnl.0000000000209505] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/05/2024] Open
Affiliation(s)
- Alberto Lleó
- From the Department of Neurology, Hospital Sant Pau, Barcelona
| | - Daniel Alcolea
- From the Department of Neurology, Hospital Sant Pau, Barcelona
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Reuben DB, Kremen S, Maust DT. Dementia Prevention and Treatment: A Narrative Review. JAMA Intern Med 2024; 184:563-572. [PMID: 38436963 DOI: 10.1001/jamainternmed.2023.8522] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/05/2024]
Abstract
Importance Dementia affects 10% of those 65 years or older and 35% of those 90 years or older, often with profound cognitive, behavioral, and functional consequences. As the baby boomers and subsequent generations age, effective preventive and treatment strategies will assume increasing importance. Observations Preventive measures are aimed at modifiable risk factors, many of which have been identified. To date, no randomized clinical trial data conclusively confirm that interventions of any kind can prevent dementia. Nevertheless, addressing risk factors may have other health benefits and should be considered. Alzheimer disease can be treated with cholinesterase inhibitors, memantine, and antiamyloid immunomodulators, with the last modestly slowing cognitive and functional decline in people with mild cognitive impairment or mild dementia due to Alzheimer disease. Cholinesterase inhibitors and memantine may benefit persons with other types of dementia, including dementia with Lewy bodies, Parkinson disease dementia, vascular dementia, and dementia due to traumatic brain injury. Behavioral and psychological symptoms of dementia are best treated with nonpharmacologic management, including identifying and mitigating the underlying causes and individually tailored behavioral approaches. Psychotropic medications have minimal evidence of efficacy for treating these symptoms and are associated with increased mortality and clinically meaningful risks of falls and cognitive decline. Several emerging prevention and treatment strategies hold promise to improve dementia care in the future. Conclusions and Relevance Although current prevention and treatment approaches to dementia have been less than optimally successful, substantial investments in dementia research will undoubtedly provide new answers to reducing the burden of dementia worldwide.
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Affiliation(s)
- David B Reuben
- Multicampus Program in Geriatric Medicine and Gerontology, David Geffen School of Medicine, University of California, Los Angeles
| | - Sarah Kremen
- Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, California
- Jona Goldrich Center for Alzheimer's and Memory Disorders, Cedars-Sinai Medical Center, Los Angeles, California
| | - Donovan T Maust
- Department of Psychiatry, University of Michigan, Ann Arbor
- Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, Michigan
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Novakova L, Gajdos M, Barton M, Brabenec L, Zeleznikova Z, Moravkova I, Rektorova I. Striato-cortical functional connectivity changes in mild cognitive impairment with Lewy bodies. Parkinsonism Relat Disord 2024; 121:106031. [PMID: 38364623 DOI: 10.1016/j.parkreldis.2024.106031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Revised: 02/01/2024] [Accepted: 02/09/2024] [Indexed: 02/18/2024]
Abstract
BACKGROUND Functional connectivity changes in clinically overt neurodegenerative diseases such as dementia with Lewy bodies have been described, but studies on connectivity changes in the pre-dementia phase are scarce. OBJECTIVES We concentrated on evaluating striato-cortical functional connectivity differences between patients with Mild Cognitive Impairment with Lewy bodies and healthy controls and on assessing the relation to cognition. METHODS Altogether, we enrolled 77 participants (47 patients, of which 35 met all the inclusion criteria for the final analysis, and 30 age- and gender-matched healthy controls, of which 28 met all the inclusion criteria for the final analysis) to study the seed-based connectivity of the dorsal, middle, and ventral striatum. We assessed correlations between functional connectivity in the regions of between-group differences and neuropsychological scores of interest (visuospatial and executive domains z-scores). RESULTS Subjects with Mild Cognitive Impairment with Lewy Bodies, as compared to healthy controls, showed increased connectivity from the dorsal part of the striatum particularly to the bilateral anterior part of the temporal cortex with an association with executive functions. CONCLUSIONS We were able to capture early abnormal connectivity within cholinergic and noradrenergic pathways that correlated with cognitive functions known to be linked to cholinergic/noradrenergic deficits. The knowledge of specific alterations may improve our understanding of early neural changes in pre-dementia stages and enhance research of disease modifying therapy.
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Affiliation(s)
- Lubomira Novakova
- Brain and Mind Research Program, CEITEC, Masaryk University, Brno, Czech Republic
| | - Martin Gajdos
- Brain and Mind Research Program, CEITEC, Masaryk University, Brno, Czech Republic
| | - Marek Barton
- Brain and Mind Research Program, CEITEC, Masaryk University, Brno, Czech Republic
| | - Lubos Brabenec
- Brain and Mind Research Program, CEITEC, Masaryk University, Brno, Czech Republic
| | - Zaneta Zeleznikova
- Brain and Mind Research Program, CEITEC, Masaryk University, Brno, Czech Republic; First Department of Neurology, St. Anne's University Hospital and Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Ivona Moravkova
- Brain and Mind Research Program, CEITEC, Masaryk University, Brno, Czech Republic; First Department of Neurology, St. Anne's University Hospital and Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Irena Rektorova
- Brain and Mind Research Program, CEITEC, Masaryk University, Brno, Czech Republic; First Department of Neurology, St. Anne's University Hospital and Faculty of Medicine, Masaryk University, Brno, Czech Republic.
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Dombrowski W, Mims A, Kremer I, Cano Desandes P, Rodrigo-Herrero S, Epps F, Snow T, Gutierrez M, Nasta A, Epperly MB, Manaloto K, Hansen JC. Dementia Ideal Care: Ecosystem Map of Best Practices and Care Pathways Enhanced by Technology and Community. J Alzheimers Dis 2024; 100:87-117. [PMID: 38848182 PMCID: PMC11307099 DOI: 10.3233/jad-231491] [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: 04/25/2024] [Indexed: 06/09/2024]
Abstract
Background Globally, much work has been done by nonprofit, private, and academic groups to develop best practices for the care of people living with dementia (PLWD), including Alzheimer's disease. However, these best practices reside in disparate repositories and tend to focus on one phase of the patient journey or one relevant group. Objective To fill this gap, we developed a Dementia Ideal Care Map that everyone in the dementia ecosystem can use as an actionable tool for awareness, policy development, funding, research, training, service delivery, and technology design. The intended audience includes (and not limited to) policymakers, academia, industry, technology developers, health system leaders, clinicians, social service providers, patient advocates, PLWD, their families, and communities at large. Methods A search was conducted for published dementia care best practices and quality measures, which were then summarized in a visual diagram. The draft diagram was analyzed to identify barriers to ideal care. Then, additional processes, services, technologies, and quality measures to overcome those challenges were brainstormed. Feedback was then obtained from experts. Results The Dementia Ideal Care Map summarizes the ecosystem of over 200 best practices, nearly 100 technology enablers, other infrastructure, and enhanced care pathways in one comprehensive diagram. It includes psychosocial interventions, care partner support, community-based organizations; awareness, risk reduction; initial detection, diagnosis, ongoing medical care; governments, payers, health systems, businesses, data, research, and training. Conclusions Dementia Ideal Care Map is a practical tool for planning and coordinating dementia care. This visualized ecosystem approach can be applied to other conditions.
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Affiliation(s)
- Wen Dombrowski
- CATALAIZE, Chicago, IL, USA
- USC Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA
| | - Adrienne Mims
- Rainmakers Strategic Solutions, Atlanta, GA, USA
- National Committee for Quality Assurance – NCQA, Washington, DC, USA
- NAPA Advisory Council, Washington, DC, USA
| | - Ian Kremer
- Leaders Engaged on Alzheimer’s Disease – LEAD Coalition, Washington, DC, USA
| | - Pedro Cano Desandes
- Parc Taulí Hospital Universitari, Institut d’Investigació i Innovació Parc Taulí – I3PT-CERCA, Universitat Autònoma de Barcelona, Sabadell, Spain
| | - Silvia Rodrigo-Herrero
- Memory Unit, Department of Neurology, Juan Ramon Jimenez University Hospital, Huelva, Spain
| | - Fayron Epps
- School of Nursing, University of Texas Health Science Center, San Antonio, TX, USA
| | - Teepa Snow
- Positive Approach, LLC, Efland, NC, USA
- Snow Approach, Inc., Hillsborough, NC, USA
| | | | - Anil Nasta
- Roche Diagnostics Corporation, Indianapolis, IN, USA
| | | | - Katrina Manaloto
- Neurotech Collider Lab, University of California, Berkeley, Berkeley, CA, USA
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Abujamai J, Satar R, Ansari SA. Designing and Formulation of Nanocarriers for "Alzheimer's and Parkinson's" Early Detection and Therapy. CNS & NEUROLOGICAL DISORDERS DRUG TARGETS 2024; 23:1251-1262. [PMID: 38351689 DOI: 10.2174/0118715273297024240201055550] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Revised: 01/15/2024] [Accepted: 01/18/2024] [Indexed: 08/28/2024]
Abstract
The potential of nanotechnology in advancing the diagnosis and treatment of neurodegenerative diseases is explored in this comprehensive literature review. The findings of these studies suggest that nanotechnology has the capacity to improve existing therapeutic approaches, create novel and safe compounds, and develop more precise imaging techniques and diagnostic methods for neurodegenerative diseases. With the emergence of the nanomedicine era, a new and innovative approach of diagnosing and treating these conditions has been introduced. Notably, the researchers' development of a nanocarrier drug delivery tool demonstrates immense potential compared to conventional therapy, as it maximizes therapeutic efficacy and minimizes undesirable as side effects.
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Affiliation(s)
- Jakleen Abujamai
- Medicine Program, Batterjee Medical College, Jeddah 21442, Saudi Arabia
| | - Rukhsana Satar
- Division of Biochemistry, Department of Physiology and Biochemistry, Ibn Sina National College for Medical Studies, Jeddah 22421, Saudi Arabia
| | - Shakeel Ahmed Ansari
- Department of Biochemistry, Medicine Program, Batterjee Medical College, Jeddah 21442, Saudi Arabia
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Cilia R, Piacentini SHMJ, Cummings J. The challenges of finding novel and effective drugs targeting dementia and neuropsychiatric disturbances in PD: Insights from the SYNAPSE trial. Parkinsonism Relat Disord 2023; 114:105804. [PMID: 37633806 DOI: 10.1016/j.parkreldis.2023.105804] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/28/2023]
Affiliation(s)
- Roberto Cilia
- Fondazione IRCCS Istituto Neurologico Carlo Besta, Department of Clinical Neurosciences, Parkinson and Movement Disorders Unit, Milano, Italy
| | | | - Jeffrey Cummings
- Chambers-Grundy Center for Transformative Neuroscience, Department of Brain Health, School of Integrated Health Sciences, University of Nevada Las Vegas (UNLV), Las Vegas, NV, USA.
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