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Wyman-Chick KA, Chaudhury P, Bayram E, Abdelnour C, Matar E, Chiu SY, Ferreira D, Hamilton CA, Donaghy PC, Rodriguez-Porcel F, Toledo JB, Habich A, Barrett MJ, Patel B, Jaramillo-Jimenez A, Scott GD, Kane JPM. Differentiating Prodromal Dementia with Lewy Bodies from Prodromal Alzheimer's Disease: A Pragmatic Review for Clinicians. Neurol Ther 2024; 13:885-906. [PMID: 38720013 PMCID: PMC11136939 DOI: 10.1007/s40120-024-00620-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Accepted: 04/05/2024] [Indexed: 05/12/2024] Open
Abstract
This pragmatic review synthesises the current understanding of prodromal dementia with Lewy bodies (pDLB) and prodromal Alzheimer's disease (pAD), including clinical presentations, neuropsychological profiles, neuropsychiatric symptoms, biomarkers, and indications for disease management. The core clinical features of dementia with Lewy bodies (DLB)-parkinsonism, complex visual hallucinations, cognitive fluctuations, and REM sleep behaviour disorder are common prodromal symptoms. Supportive clinical features of pDLB include severe neuroleptic sensitivity, as well as autonomic and neuropsychiatric symptoms. The neuropsychological profile in mild cognitive impairment attributable to Lewy body pathology (MCI-LB) tends to include impairment in visuospatial skills and executive functioning, distinguishing it from MCI due to AD, which typically presents with impairment in memory. pDLB may present with cognitive impairment, psychiatric symptoms, and/or recurrent episodes of delirium, indicating that it is not necessarily synonymous with MCI-LB. Imaging, fluid and other biomarkers may play a crucial role in differentiating pDLB from pAD. The current MCI-LB criteria recognise low dopamine transporter uptake using positron emission tomography or single photon emission computed tomography (SPECT), loss of REM atonia on polysomnography, and sympathetic cardiac denervation using meta-iodobenzylguanidine SPECT as indicative biomarkers with slowing of dominant frequency on EEG among others as supportive biomarkers. This review also highlights the emergence of fluid and skin-based biomarkers. There is little research evidence for the treatment of pDLB, but pharmacological and non-pharmacological treatments for DLB may be discussed with patients. Non-pharmacological interventions such as diet, exercise, and cognitive stimulation may provide benefit, while evaluation and management of contributing factors like medications and sleep disturbances are vital. There is a need to expand research across diverse patient populations to address existing disparities in clinical trial participation. In conclusion, an early and accurate diagnosis of pDLB or pAD presents an opportunity for tailored interventions, improved healthcare outcomes, and enhanced quality of life for patients and care partners.
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Affiliation(s)
- Kathryn A Wyman-Chick
- Struthers Parkinson's Center and Center for Memory and Aging, Department of Neurology, HealthPartners/Park Nicollet, Bloomington, USA.
| | - Parichita Chaudhury
- Cleo Roberts Memory and Movement Center, Banner Sun Health Research Institute, Sun City, USA
| | - Ece Bayram
- Parkinson and Other Movement Disorders Center, University of California San Diego, San Diego, USA
| | - Carla Abdelnour
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Palo Alto, USA
| | - Elie Matar
- Central Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, Australia
| | - Shannon Y Chiu
- Department of Neurology, Mayo Clinic Arizona, Phoenix, USA
| | - Daniel Ferreira
- Division of Clinical Geriatrics, Center for Alzheimer Research, Karolinska Institute, Solna, Sweden
- Department of Radiology, Mayo Clinic Rochester, Rochester, USA
- Facultad de Ciencias de la Salud, Universidad Fernando Pessoa Canarias, Las Palmas, Spain
| | - Calum A Hamilton
- Translational and Clinical Research Institute, Newcastle University, Newcastle Upon Tyne, UK
| | - Paul C Donaghy
- Translational and Clinical Research Institute, Newcastle University, Newcastle Upon Tyne, UK
| | | | - Jon B Toledo
- Nantz National Alzheimer Center, Stanley Appel Department of Neurology, Houston Methodist Hospital, Houston, USA
| | - Annegret Habich
- Division of Clinical Geriatrics, Center for Alzheimer Research, Karolinska Institute, Solna, Sweden
- University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Matthew J Barrett
- Department of Neurology, Parkinson's and Movement Disorders Center, Virginia Commonwealth University, Richmond, USA
| | - Bhavana Patel
- Department of Neurology, College of Medicine, University of Florida, Gainesville, USA
- Norman Fixel Institute for Neurologic Diseases, University of Florida, Gainesville, USA
| | - Alberto Jaramillo-Jimenez
- Centre for Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway
- School of Medicine, Grupo de Neurociencias de Antioquia, Universidad de Antioquia, Medellín, Colombia
| | - Gregory D Scott
- Department of Pathology and Laboratory Services, VA Portland Medical Center, Portland, USA
| | - Joseph P M Kane
- Centre for Public Health, Queen's University Belfast, Belfast, UK
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Hou Y, Chu X, Park J, Zhu Q, Hussain M, Li Z, Madsen HB, Yang B, Wei Y, Wang Y, Fang EF, Croteau DL, Bohr VA. Urolithin A improves Alzheimer's disease cognition and restores mitophagy and lysosomal functions. Alzheimers Dement 2024; 20:4212-4233. [PMID: 38753870 PMCID: PMC11180933 DOI: 10.1002/alz.13847] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2023] [Revised: 03/13/2024] [Accepted: 03/14/2024] [Indexed: 05/18/2024]
Abstract
BACKGROUND Compromised autophagy, including impaired mitophagy and lysosomal function, plays pivotal roles in Alzheimer's disease (AD). Urolithin A (UA) is a gut microbial metabolite of ellagic acid that stimulates mitophagy. The effects of UA's long-term treatment of AD and mechanisms of action are unknown. METHODS We addressed these questions in three mouse models of AD with behavioral, electrophysiological, biochemical, and bioinformatic approaches. RESULTS Long-term UA treatment significantly improved learning, memory, and olfactory function in different AD transgenic mice. UA also reduced amyloid beta (Aβ) and tau pathologies and enhanced long-term potentiation. UA induced mitophagy via increasing lysosomal functions. UA improved cellular lysosomal function and normalized lysosomal cathepsins, primarily cathepsin Z, to restore lysosomal function in AD, indicating the critical role of cathepsins in UA-induced therapeutic effects on AD. CONCLUSIONS Our study highlights the importance of lysosomal dysfunction in AD etiology and points to the high translational potential of UA. HIGHLIGHTS Long-term urolithin A (UA) treatment improved learning, memory, and olfactory function in Alzheimer's disease (AD) mice. UA restored lysosomal functions in part by regulating cathepsin Z (Ctsz) protein. UA modulates immune responses and AD-specific pathophysiological pathways.
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Affiliation(s)
- Yujun Hou
- Institute for Regenerative MedicineState Key Laboratory of Cardiology and Medical Innovation Center, Shanghai East Hospital, Shanghai Key Laboratory of Signaling and Disease Research, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji UniversityShanghaiChina
- DNA Repair SectionNational Institute on AgingBaltimoreMarylandUSA
| | - Xixia Chu
- DNA Repair SectionNational Institute on AgingBaltimoreMarylandUSA
| | - Jae‐Hyeon Park
- DNA Repair SectionNational Institute on AgingBaltimoreMarylandUSA
| | - Qing Zhu
- Institute for Regenerative MedicineState Key Laboratory of Cardiology and Medical Innovation Center, Shanghai East Hospital, Shanghai Key Laboratory of Signaling and Disease Research, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji UniversityShanghaiChina
| | - Mansoor Hussain
- DNA Repair SectionNational Institute on AgingBaltimoreMarylandUSA
| | - Zhiquan Li
- Danish Center for Healthy Aging, ICMMUniversity of CopenhagenCopenhagenDenmark
| | | | - Beimeng Yang
- DNA Repair SectionNational Institute on AgingBaltimoreMarylandUSA
| | - Yong Wei
- DNA Repair SectionNational Institute on AgingBaltimoreMarylandUSA
| | - Yue Wang
- DNA Repair SectionNational Institute on AgingBaltimoreMarylandUSA
| | - Evandro F. Fang
- Department of Clinical Molecular BiologyUniversity of Oslo and Akershus University HospitalLørenskogNorway
- The Norwegian Centre on Healthy Ageing (NO‐Age)OsloAkershusNorway
| | - Deborah L. Croteau
- DNA Repair SectionNational Institute on AgingBaltimoreMarylandUSA
- Computational Biology & Genomics Core, LGGNational Institute on AgingBaltimoreMarylandUSA
| | - Vilhelm A. Bohr
- DNA Repair SectionNational Institute on AgingBaltimoreMarylandUSA
- Danish Center for Healthy Aging, ICMMUniversity of CopenhagenCopenhagenDenmark
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Oltra J, Habich A, Schwarz CG, Nedelska Z, Przybelski SA, Inguanzo A, Diaz‐Galvan P, Lowe VJ, Oppedal K, Gonzalez MC, Philippi N, Blanc F, Barkhof F, Lemstra AW, Hort J, Padovani A, Rektorova I, Bonanni L, Massa F, Kramberger MG, Taylor J, Snædal JG, Walker Z, Antonini A, Dierks T, Segura B, Junque C, Westman E, Boeve BF, Aarsland D, Kantarci K, Ferreira D. Sex differences in brain atrophy in dementia with Lewy bodies. Alzheimers Dement 2024; 20:1815-1826. [PMID: 38131463 PMCID: PMC10947875 DOI: 10.1002/alz.13571] [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: 07/19/2023] [Revised: 10/13/2023] [Accepted: 11/10/2023] [Indexed: 12/23/2023]
Abstract
INTRODUCTION Sex influences neurodegeneration, but it has been poorly investigated in dementia with Lewy bodies (DLB). We investigated sex differences in brain atrophy in DLB using magnetic resonance imaging (MRI). METHODS We included 436 patients from the European-DLB consortium and the Mayo Clinic. Sex differences and sex-by-age interactions were assessed through visual atrophy rating scales (n = 327; 73 ± 8 years, 62% males) and automated estimations of regional gray matter volume and cortical thickness (n = 165; 69 ± 9 years, 72% males). RESULTS We found a higher likelihood of frontal atrophy and smaller volumes in six cortical regions in males and thinner olfactory cortices in females. There were significant sex-by-age interactions in volume (six regions) and cortical thickness (seven regions) across the entire cortex. DISCUSSION We demonstrate that males have more widespread cortical atrophy at younger ages, but differences tend to disappear with increasing age, with males and females converging around the age of 75. HIGHLIGHTS Male DLB patients had higher odds for frontal atrophy on radiological visual rating scales. Male DLB patients displayed a widespread pattern of cortical gray matter alterations on automated methods. Sex differences in gray matter measures in DLB tended to disappear with increasing age.
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Affiliation(s)
- Javier Oltra
- Medical Psychology UnitDepartment of MedicineInstitute of NeuroscienceUniversity of BarcelonaBarcelonaCataloniaSpain
- Institute of Biomedical Research August Pi i Sunyer (IDIBAPS)BarcelonaCataloniaSpain
- Division of Clinical GeriatricsCenter for Alzheimer ResearchDepartment of NeurobiologyCare Sciences and SocietyKarolinska InstitutetStockholmSweden
| | - Annegret Habich
- Division of Clinical GeriatricsCenter for Alzheimer ResearchDepartment of NeurobiologyCare Sciences and SocietyKarolinska InstitutetStockholmSweden
- University Hospital of Psychiatry and Psychotherapy Bern, University of BernBernSwitzerland
| | | | - Zuzana Nedelska
- Memory ClinicDepartment of NeurologyCharles University2nd Faculty of Medicine and Motol University HospitalPragueCzech Republic
| | | | - Anna Inguanzo
- Division of Clinical GeriatricsCenter for Alzheimer ResearchDepartment of NeurobiologyCare Sciences and SocietyKarolinska InstitutetStockholmSweden
| | | | - Val J. Lowe
- Department of RadiologyMayo ClinicRochesterMinnesotaUSA
| | - Ketil Oppedal
- Center for Age‐Related MedicineStavanger University HospitalStavangerNorway
- Stavanger Medical Imaging Laboratory (SMIL)Department of RadiologyStavanger University HospitalStavangerNorway
- The Norwegian Centre for Movement DisordersStavanger University HospitalStavangerNorway
| | - Maria C. Gonzalez
- Center for Age‐Related MedicineStavanger University HospitalStavangerNorway
- Stavanger Medical Imaging Laboratory (SMIL)Department of RadiologyStavanger University HospitalStavangerNorway
- The Norwegian Centre for Movement DisordersStavanger University HospitalStavangerNorway
- Department of Quality and Health TechnologyFaculty of Health SciencesUniversity of StavangerStavangerNorway
| | - Nathalie Philippi
- Geriatrics and Neurology UnitsResearch and Resources Memory Center (CM2R)Hôpitaux Universitaires de StrasbourgStrasbourgFrance
- ICube Laboratory (CNRS, UMR 7357)StrasbourgFrance
| | - Frederic Blanc
- Geriatrics and Neurology UnitsResearch and Resources Memory Center (CM2R)Hôpitaux Universitaires de StrasbourgStrasbourgFrance
- ICube Laboratory (CNRS, UMR 7357)StrasbourgFrance
| | - Frederik Barkhof
- Department of Radiology & Nuclear Medicine (AMC)Amsterdam UMC, Vrije UniversiteitAmsterdamthe Netherlands
- Queen Square Institute of Neurology and Centre for Medical Image Computing (CMIC)University College LondonLondonUK
| | - Afina W. Lemstra
- Alzheimer Center AmsterdamNeurologyVrije Universiteit Amsterdam, Amsterdam UMC location VumcAmsterdamThe Netherlands
- Amsterdam NeuroscienceNeurodegeneration, Vrije Universiteit Amsterdam, Amsterdam UMC location VumcAmsterdamThe Netherlands
| | - Jakub Hort
- Memory ClinicDepartment of NeurologyCharles University2nd Faculty of Medicine and Motol University HospitalPragueCzech Republic
| | - Alessandro Padovani
- Neurology UnitDepartment of Clinical and Experimental Sciences (DSCS)University of BresciaBresciaItaly
| | - Irena Rektorova
- Brain and Mind ResearchCentral European Institute of Technology (CEITET)Masaryk UniversityBrnoCzech Republic
| | - Laura Bonanni
- Department of Medicine and Aging Sciences University G. d'Annunzio of Chieti‐Pescara ChietiChietiItaly
| | - Federico Massa
- Department of NeuroscienceRehabilitationOphthalmology, Genetics, Maternal and Child HealthUniversity of GenovaGenovaItaly
| | | | - John‐Paul Taylor
- Translational and Clinical Research InstituteFaculty of Medical SciencesNewcastle UniversityNewcastle upon TyneUK
| | | | - Zuzana Walker
- Division of PsychiatryUniversity College LondonLondonUK
- St Margaret's HospitalEssex Partnership University NHS Foundation TrustEssexUK
| | - Angelo Antonini
- Parkinson and Movement Disorders UnitStudy Center on Neurodegeneration (CESNE)PadovaItaly
| | - Thomas Dierks
- University Hospital of Psychiatry and Psychotherapy Bern, University of BernBernSwitzerland
| | - Barbara Segura
- Medical Psychology UnitDepartment of MedicineInstitute of NeuroscienceUniversity of BarcelonaBarcelonaCataloniaSpain
- Institute of Biomedical Research August Pi i Sunyer (IDIBAPS)BarcelonaCataloniaSpain
- Network Center for Biomedical Research in Neurodegenerative Diseases (CIBERNED: CB06/05/0018‐ISCIII)BarcelonaCataloniaSpain
| | - Carme Junque
- Medical Psychology UnitDepartment of MedicineInstitute of NeuroscienceUniversity of BarcelonaBarcelonaCataloniaSpain
- Institute of Biomedical Research August Pi i Sunyer (IDIBAPS)BarcelonaCataloniaSpain
- Network Center for Biomedical Research in Neurodegenerative Diseases (CIBERNED: CB06/05/0018‐ISCIII)BarcelonaCataloniaSpain
| | - Eric Westman
- Division of Clinical GeriatricsCenter for Alzheimer ResearchDepartment of NeurobiologyCare Sciences and SocietyKarolinska InstitutetStockholmSweden
| | | | - Dag Aarsland
- Center for Age‐Related MedicineStavanger University HospitalStavangerNorway
- Department of Old Age PsychiatryInstitute of PsychiatryPsychology & Neuroscience (IoPPN)King's College LondonLondonUK
| | | | - Daniel Ferreira
- Division of Clinical GeriatricsCenter for Alzheimer ResearchDepartment of NeurobiologyCare Sciences and SocietyKarolinska InstitutetStockholmSweden
- Department of RadiologyMayo ClinicRochesterMinnesotaUSA
- Facultad de Ciencias de la SaludUniversidad Fernando Pessoa CanariasLas PalmasEspaña
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Donaghy PC, Carrarini C, Ferreira D, Habich A, Aarsland D, Babiloni C, Bayram E, Kane JP, Lewis SJ, Pilotto A, Thomas AJ, Bonanni L. Research diagnostic criteria for mild cognitive impairment with Lewy bodies: A systematic review and meta-analysis. Alzheimers Dement 2023; 19:3186-3202. [PMID: 37096339 PMCID: PMC10695683 DOI: 10.1002/alz.13105] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 03/22/2023] [Accepted: 03/23/2023] [Indexed: 04/26/2023]
Abstract
INTRODUCTION Operationalized research criteria for mild cognitive impairment with Lewy bodies (MCI-LB) were published in 2020. The aim of this systematic review and meta-analysis was to review the evidence for the diagnostic clinical features and biomarkers in MCI-LB set out in the criteria. METHODS MEDLINE, PubMed, and Embase were searched on 9/28/22 for relevant articles. Articles were included if they presented original data reporting the rates of diagnostic features in MCI-LB. RESULTS Fifty-seven articles were included. The meta-analysis supported the inclusion of the current clinical features in the diagnostic criteria. Evidence for striatal dopaminergic imaging and meta-iodobenzylguanidine cardiac scintigraphy, though limited, supports their inclusion. Quantitative electroencephalogram (EEG) and fluorodeoxyglucose positron emission tomography (PET) show promise as diagnostic biomarkers. DISCUSSION The available evidence largely supports the current diagnostic criteria for MCI-LB. Further evidence will help refine the diagnostic criteria and understand how best to apply them in clinical practice and research. HIGHLIGHTS A meta-analysis of the diagnostic features of MCI-LB was carried out. The four core clinical features were more common in MCI-LB than MCI-AD/stable MCI. Neuropsychiatric and autonomic features were also more common in MCI-LB. More evidence is needed for the proposed biomarkers. FDG-PET and quantitative EEG show promise as diagnostic biomarkers in MCI-LB.
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Affiliation(s)
- Paul C Donaghy
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Claudia Carrarini
- Department of Neuroscience, Catholic University of Sacred Heart, Rome, Italy
- IRCCS San Raffaele Pisana, Rome, Italy
| | - Daniel Ferreira
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
| | - Annegret Habich
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
- University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Dag Aarsland
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Centre for Age-Related Diseases, Stavanger University Hospital, Stavanger, Norway
| | - Claudio Babiloni
- Department of Physiology and Pharmacology "Vittorio Erspamer", Sapienza University of Rome, Rome, Italy
- Hospital San Raffaele of Cassino, Cassino, Italy
| | - Ece Bayram
- Parkinson and Other Movement Disorders Center, Department of Neurosciences, University of California San Diego, California, USA
| | - Joseph Pm Kane
- Centre for Public Health, Queen's University Belfast, Belfast, UK
| | - Simon Jg Lewis
- Brain and Mind Centre, School of Medical Sciences, University of Sydney, Sydney, Australia
| | - Andrea Pilotto
- Department of Clinical and Experimental Sciences, Neurology Unit, University of Brescia, Brescia, Italy
| | - Alan J Thomas
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Laura Bonanni
- Department of Medicine and Aging Sciences, University G. d'Annunzio of Chieti-Pescara, Chieti, Italy
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5
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Donaghy PC, Hamilton C, Durcan R, Lawley S, Barker S, Ciafone J, Barnett N, Olsen K, Firbank M, Roberts G, Lloyd J, Allan LM, Saha R, McKeith IG, O'Brien JT, Taylor J, Thomas AJ. Clinical symptoms in mild cognitive impairment with Lewy bodies: Frequency, time of onset, and discriminant ability. Eur J Neurol 2023; 30:1585-1593. [PMID: 36912421 PMCID: PMC10946617 DOI: 10.1111/ene.15783] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 03/02/2023] [Accepted: 03/08/2023] [Indexed: 03/14/2023]
Abstract
BACKGROUND AND PURPOSE Mild cognitive impairment with Lewy bodies (MCI-LB) is associated with a range of cognitive, motor, neuropsychiatric, sleep, autonomic, and visual symptoms. We investigated the cumulative frequency of symptoms in a longitudinal cohort of MCI-LB compared with MCI due to Alzheimer disease (MCI-AD) and analysed the ability of a previously described 10-point symptom scale to differentiate MCI-LB and MCI-AD, in an independent cohort. METHODS Participants with probable MCI-LB (n = 70), MCI-AD (n = 51), and controls (n = 34) had a detailed clinical assessment and annual follow-up (mean duration = 1.7 years). The presence of a range of symptoms was ascertained using a modified version of the Lewy Body Disease Association Comprehensive LBD Symptom Checklist at baseline assessment and then annually. RESULTS MCI-LB participants experienced a greater mean number of symptoms (24.2, SD = 7.6) compared with MCI-AD (11.3, SD = 7.4) and controls (4.2, SD = 3.1; p < 0.001 for all comparisons). A range of cognitive, parkinsonian, neuropsychiatric, sleep, and autonomic symptoms were significantly more common in MCI-LB than MCI-AD, although when present, the time of onset was similar between the two groups. A previously defined 10-point symptom scale demonstrated very good discrimination between MCI-LB and MCI-AD (area under the receiver operating characteristic curve = 0.91, 95% confidence interval = 0.84-0.98), replicating our previous finding in a new cohort. CONCLUSIONS MCI-LB is associated with the frequent presence of a particular profile of symptoms compared to MCI-AD. Clinicians should look for evidence of these symptoms in MCI and be aware of the potential for treatment. The presence of these symptoms may help to discriminate MCI-LB from MCI-AD.
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Affiliation(s)
- Paul C. Donaghy
- Translational and Clinical Research InstituteNewcastle UniversityNewcastle Upon TyneUK
| | - Calum Hamilton
- Translational and Clinical Research InstituteNewcastle UniversityNewcastle Upon TyneUK
| | - Rory Durcan
- Translational and Clinical Research InstituteNewcastle UniversityNewcastle Upon TyneUK
| | - Sarah Lawley
- Translational and Clinical Research InstituteNewcastle UniversityNewcastle Upon TyneUK
| | - Sally Barker
- Translational and Clinical Research InstituteNewcastle UniversityNewcastle Upon TyneUK
| | - Joanna Ciafone
- Translational and Clinical Research InstituteNewcastle UniversityNewcastle Upon TyneUK
| | - Nicola Barnett
- Translational and Clinical Research InstituteNewcastle UniversityNewcastle Upon TyneUK
| | - Kirsty Olsen
- Translational and Clinical Research InstituteNewcastle UniversityNewcastle Upon TyneUK
| | - Michael Firbank
- Translational and Clinical Research InstituteNewcastle UniversityNewcastle Upon TyneUK
| | - Gemma Roberts
- Translational and Clinical Research InstituteNewcastle UniversityNewcastle Upon TyneUK
- Nuclear Medicine DepartmentNewcastle Upon Tyne Hospitals NHS Foundation TrustNewcastle Upon TyneUK
| | - Jim Lloyd
- Nuclear Medicine DepartmentNewcastle Upon Tyne Hospitals NHS Foundation TrustNewcastle Upon TyneUK
| | - Louise M. Allan
- Centre for Research in Ageing and Cognitive HealthUniversity of ExeterExeterUK
| | - Ranjan Saha
- Translational and Clinical Research InstituteNewcastle UniversityNewcastle Upon TyneUK
| | - Ian G. McKeith
- Translational and Clinical Research InstituteNewcastle UniversityNewcastle Upon TyneUK
| | - John T. O'Brien
- Department of Psychiatry, School of Clinical MedicineUniversity of CambridgeCambridgeUK
| | - John‐Paul Taylor
- Translational and Clinical Research InstituteNewcastle UniversityNewcastle Upon TyneUK
| | - Alan J. Thomas
- Translational and Clinical Research InstituteNewcastle UniversityNewcastle Upon TyneUK
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Audronyte E, Pakulaite-Kazliene G, Sutnikiene V, Kaubrys G. Properties of odor identification testing in screening for early-stage Alzheimer's disease. Sci Rep 2023; 13:6075. [PMID: 37055436 PMCID: PMC10102162 DOI: 10.1038/s41598-023-32878-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Accepted: 04/04/2023] [Indexed: 04/15/2023] Open
Abstract
Odor identification (OI) is impaired in the early stages of Alzheimer's disease (AD). However, data regarding the diagnostic properties of OI tests are lacking, preventing their clinical use. We aimed to explore OI and determine the accuracy of OI testing in screening for patients with early AD. In total, 30 participants with mild cognitive impairment due to AD (MCI-AD), 30 with mild dementia due to AD (MD-AD), and 30 cognitively normal elderly participants (CN) were enrolled, and cognitive examination (CDR, MMSE, ADAS-Cog 13, and verbal fluency tests) and assessment of OI (Burghart Sniffin' Sticks odor identification test) were performed. MCI-AD patients scored significantly worse in OI than CN participants, and MD-AD patients had worse OI scores than MCI-AD patients. The ratio of OI to ADAS-Cog 13 score had good diagnostic accuracy in differentiating AD patients from CN participants and in differentiating MCI-AD patients from CN participants. Substitution of ADAS-Cog 13 score with the ratio of OI to ADAS-Cog 13 score in a multinomial regression model improved the classification accuracy, especially of MCI-AD cases. Our results confirmed that OI is impaired during the prodromal stage of AD. OI testing has a good diagnostic quality and can improve the accuracy of screening for early-stage AD.
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Affiliation(s)
- Egle Audronyte
- Clinic of Neurology and Neurosurgery, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.
| | - Gyte Pakulaite-Kazliene
- Clinic of Neurology and Neurosurgery, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania
| | - Vaiva Sutnikiene
- Clinic of Neurology and Neurosurgery, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania
| | - Gintaras Kaubrys
- Clinic of Neurology and Neurosurgery, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania
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7
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Hansen N, Bouter C, Müller SJ, van Riesen C, Khadhraoui E, Ernst M, Riedel CH, Wiltfang J, Lange C. New Insights into Potential Biomarkers in Patients with Mild Cognitive Impairment Occurring in the Prodromal Stage of Dementia with Lewy Bodies. Brain Sci 2023; 13:brainsci13020242. [PMID: 36831785 PMCID: PMC9953759 DOI: 10.3390/brainsci13020242] [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: 01/04/2023] [Revised: 01/14/2023] [Accepted: 01/22/2023] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND Prodromal dementia with Lewy bodies (DLB) can emerge with the onset of mild cognitive impairment (MCI). Standard biomarkers can help identify such patients to improve therapy and treatment strategies. Our review aims to describe the latest evidence on promising biomarkers in prodromal DLB with MCI onset (MCI-LB). METHODS We selected articles on different biomarkers in MCI-LB from PubMed and conducted a narrative review. RESULTS We identified potentially promising clinical biomarkers, e.g., (1) assessing autonomic symptoms specifically, (2) describing the cognitive profile in several subdomains including executive and visual functions, and (3) measuring the speed of speech. In addition, we describe the measurement of seeding amplification assays of alpha-synuclein in cerebrospinal fluid as a relevant biomarker for MCI-LB. Electroencephalographic markers, as in calculating the theta/beta ratio or intermittent delta activity, or analyzing peak frequency in electroencephalography-methods also potentially useful once they have been validated in large patient cohorts. The 18F fluorodesoxyglucose positron emission tomography (FDG-PET) technique is also discussed to investigate metabolic signatures, as well as a specific magnetic resonance imaging (MRI) technique such as for the volumetric region of interest analysis. CONCLUSIONS These biomarker results suggest that MCI-LB is a promising field for the use of biomarkers other than established ones to diagnose early prodromal DLB. Further large-scale studies are needed to better evaluate and subsequently use these promising biomarkers in prodromal DLB.
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Affiliation(s)
- Niels Hansen
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, 37075 Göttingen, Germany
- Correspondence:
| | - Caroline Bouter
- Department of Nuclear Medicine, University Medical Center Göttingen, 37075 Göttingen, Germany
| | - Sebastian Johannes Müller
- Institute of Diagnostic and Interventional Neuroradiology, University Medical Center Göttingen, 37075 Göttingen, Germany
| | - Christoph van Riesen
- Department of Neurology, University Medical Center Göttingen, 37075 Göttingen, Germany
| | - Eya Khadhraoui
- Institute of Diagnostic and Interventional Neuroradiology, University Medical Center Göttingen, 37075 Göttingen, Germany
| | - Marielle Ernst
- Institute of Diagnostic and Interventional Neuroradiology, University Medical Center Göttingen, 37075 Göttingen, Germany
| | - Christian Heiner Riedel
- Institute of Diagnostic and Interventional Neuroradiology, University Medical Center Göttingen, 37075 Göttingen, Germany
| | - Jens Wiltfang
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, 37075 Göttingen, Germany
- German Center for Neurodegenerative Diseases (DZNE), 37075 Göttingen, Germany
- Neurosciences and Signaling Group, Institute of Biomedicine (iBiMED), Department of Medical Sciences, University of Aveiro, 3810-193 Aveiro, Portugal
| | - Claudia Lange
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, 37075 Göttingen, Germany
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Oltra J, Habich A, Schwarz CG, Nedelska Z, Przybelski SA, Inguanzo A, Diaz-Galvan P, Lowe VJ, Oppedal K, Blanc F, Lemstra AW, Hort J, Padovani A, Rektorova I, Bonanni L, Massa F, Kramberge MG, Taylor JP, Snædal J, Walker Z, Antonini A, Segura B, Junque C, Westman E, Boeve BF, Aarsland D, Kantarci K, Ferreira D. Sex differences in brain atrophy in dementia with Lewy bodies. RESEARCH SQUARE 2023:rs.3.rs-2516427. [PMID: 36747755 PMCID: PMC9901042 DOI: 10.21203/rs.3.rs-2516427/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
Background and objectives Sex is an important contributing factor to neuroimaging phenotypes in brain disorders. However, little is known about the contribution of sex differences to the neurodegeneration in dementia with Lewy bodies (DLB). We investigated sex differences in probable DLB patients by using both visual rating scales of lobar atrophy and automated estimations of regional atrophy. Methods We included 442 probable DLB patients from the European-DLB consortium and the Mayo Clinic who have magnetic resonance imaging (MRI) data available. We assessed sex differences and the sex-by-age interaction in two largely independent samples through visual rating scales of lobar atrophy (n = 333; mean age 73 ± 8 years, 62% males) and automated regional estimations of gray matter (GM) volume and mean cortical thickness (CTh) (n = 165; mean age 69 ± 9 years, 72% males). We used binary logistic regression and ANOVA for statistical analysis. Results We found a statistically significantly higher likelihood of frontal atrophy measured by the global cortical atrophy-frontal subscale (GCA-F) in males (40% of males had an abnormal GCA-F score versus 29% of females, P-value = 0.006). Using automated estimations, we found smaller GM volumes in 6 cortical regions in males compared with females, as well as smaller GM volume in the entorhinal cortex and thinner olfactory cortices in females, compared with males. The sex-by-age interaction showed statistically significant results in 6 cortical volumes and 7 mean CTh estimations (P-value ≤ 0.05), accentuated in the right middle frontal gyrus (FDR-adjusted P-value = 0.047). These cross-sectional interactions indicated that while females have statistically significantly less atrophy than males at younger ages, differences become non-significant at older ages, with females showing the same level of atrophy than males around the age of 75. Conclusions This study demonstrates sex differences on brain atrophy in probable DLB. While male DLB patients have a more widespread pattern of cortical atrophy at younger ages, these sex differences tend to disappear with increasing age. Longitudinal studies will help establish these cross-sectional findings and inform on sex and age considerations to the use of MRI in clinical routine, as the field moves towards precision medicine.
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"On the nose" - could olfactory testing be a reliable bedside marker of prodromal DLB? Int Psychogeriatr 2022; 34:523-527. [PMID: 35510296 DOI: 10.1017/s104161022200045x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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