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Xu H, Eriksdotter M, Garcia-Ptacek S, Ferreira D, Ji D, Bruchfeld A, Xu Y, Carrero JJ. Acute Kidney Injury and Its Association With Dementia and Specific Dementia Types: Findings From a Population-Based Study in Sweden. Neurology 2024; 103:e209751. [PMID: 39173107 PMCID: PMC11379439 DOI: 10.1212/wnl.0000000000209751] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/24/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Preclinical studies suggest that acute kidney injury (AKI) results in biochemical and pathologic changes in the brain. We aimed to explore the association between experiencing AKI and subsequent risks of developing dementia. METHODS We conducted a study involving individuals aged 65 years and older in Stockholm from 2006 to 2019, who were free from dementia diagnosis and had data on kidney function. The exposure was an episode of AKI (time varying), ascertained by issued clinical diagnoses and transient creatinine elevations according to Kidney Disease Improving Global Outcomes criteria. The outcome was all-cause dementia and specific types of dementia, ascertained by clinically confirmed cases in the Swedish registry of cognitive/dementia disorders, the presence of 2 issued dementia diagnoses in outpatient care, or initiation of specific antidementia medications. We investigated associations with dementia through Cox proportional hazard regression by AKI, severity levels of AKI, AKI recurrence, and setting (community-acquired or hospital-acquired AKI). RESULTS We included 305,122 individuals with a median age of 75 ± 8 years (56.6% women). During a median follow-up of 12.3 (interquartile range 8.7-13.3) years, there were 79,888 individuals (26%) suffering from at least 1 episode of AKI and 47,938 incident cases (16%) of dementia. The rate of dementia cases was 37.0 per 1,000 person-years (95% CI 36.2-37.8) after developing AKI, which was approximately 2 times higher than the rate observed during the periods before AKI (17.3, 95% CI 17.2-17.5). After multivariable adjustment, developing AKI was associated with a 49% higher rate of subsequent dementia (adjusted hazard ratio hazard ratio [HR] 1.49, 95% CI 1.45-1.53). This pattern was consistent across dementia types, with HRs of 1.88 (95% CI 1.53-2.32), 1.47 (1.38-1.56), and 1.31 (1.25-1.38) for dementia with Lewy bodies and Parkinson disease with dementia, vascular dementia, and Alzheimer dementia, respectively. Risk associations were stronger in magnitude across more severe AKIs and in hospital-acquired vs community-acquired AKI. DISCUSSION Individuals who experienced an AKI were at increased risk of receiving a diagnosis of dementia.
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Affiliation(s)
- Hong Xu
- From the Division of Clinical Geriatrics (H.X., M.E., S.G.-P., D.F.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Solna, Sweden; Department of Pharmacy Administration and Clinical Pharmacy (D.J., Y.X.), School of Pharmaceutical Sciences, Peking University Health Science Center, Beijing, China; Division of Renal Medicine and Baxter Novum (A.B.), Department of Clinical Science, Intervention and Technology, and Department of Medical Epidemiology and Biostatistics (MEB) (J.J.C.), Karolinska Institutet, Solna, Sweden
| | - Maria Eriksdotter
- From the Division of Clinical Geriatrics (H.X., M.E., S.G.-P., D.F.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Solna, Sweden; Department of Pharmacy Administration and Clinical Pharmacy (D.J., Y.X.), School of Pharmaceutical Sciences, Peking University Health Science Center, Beijing, China; Division of Renal Medicine and Baxter Novum (A.B.), Department of Clinical Science, Intervention and Technology, and Department of Medical Epidemiology and Biostatistics (MEB) (J.J.C.), Karolinska Institutet, Solna, Sweden
| | - Sara Garcia-Ptacek
- From the Division of Clinical Geriatrics (H.X., M.E., S.G.-P., D.F.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Solna, Sweden; Department of Pharmacy Administration and Clinical Pharmacy (D.J., Y.X.), School of Pharmaceutical Sciences, Peking University Health Science Center, Beijing, China; Division of Renal Medicine and Baxter Novum (A.B.), Department of Clinical Science, Intervention and Technology, and Department of Medical Epidemiology and Biostatistics (MEB) (J.J.C.), Karolinska Institutet, Solna, Sweden
| | - Daniel Ferreira
- From the Division of Clinical Geriatrics (H.X., M.E., S.G.-P., D.F.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Solna, Sweden; Department of Pharmacy Administration and Clinical Pharmacy (D.J., Y.X.), School of Pharmaceutical Sciences, Peking University Health Science Center, Beijing, China; Division of Renal Medicine and Baxter Novum (A.B.), Department of Clinical Science, Intervention and Technology, and Department of Medical Epidemiology and Biostatistics (MEB) (J.J.C.), Karolinska Institutet, Solna, Sweden
| | - Dongze Ji
- From the Division of Clinical Geriatrics (H.X., M.E., S.G.-P., D.F.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Solna, Sweden; Department of Pharmacy Administration and Clinical Pharmacy (D.J., Y.X.), School of Pharmaceutical Sciences, Peking University Health Science Center, Beijing, China; Division of Renal Medicine and Baxter Novum (A.B.), Department of Clinical Science, Intervention and Technology, and Department of Medical Epidemiology and Biostatistics (MEB) (J.J.C.), Karolinska Institutet, Solna, Sweden
| | - Annette Bruchfeld
- From the Division of Clinical Geriatrics (H.X., M.E., S.G.-P., D.F.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Solna, Sweden; Department of Pharmacy Administration and Clinical Pharmacy (D.J., Y.X.), School of Pharmaceutical Sciences, Peking University Health Science Center, Beijing, China; Division of Renal Medicine and Baxter Novum (A.B.), Department of Clinical Science, Intervention and Technology, and Department of Medical Epidemiology and Biostatistics (MEB) (J.J.C.), Karolinska Institutet, Solna, Sweden
| | - Yang Xu
- From the Division of Clinical Geriatrics (H.X., M.E., S.G.-P., D.F.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Solna, Sweden; Department of Pharmacy Administration and Clinical Pharmacy (D.J., Y.X.), School of Pharmaceutical Sciences, Peking University Health Science Center, Beijing, China; Division of Renal Medicine and Baxter Novum (A.B.), Department of Clinical Science, Intervention and Technology, and Department of Medical Epidemiology and Biostatistics (MEB) (J.J.C.), Karolinska Institutet, Solna, Sweden
| | - Juan J Carrero
- From the Division of Clinical Geriatrics (H.X., M.E., S.G.-P., D.F.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Solna, Sweden; Department of Pharmacy Administration and Clinical Pharmacy (D.J., Y.X.), School of Pharmaceutical Sciences, Peking University Health Science Center, Beijing, China; Division of Renal Medicine and Baxter Novum (A.B.), Department of Clinical Science, Intervention and Technology, and Department of Medical Epidemiology and Biostatistics (MEB) (J.J.C.), Karolinska Institutet, Solna, Sweden
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2
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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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3
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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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Mak E, Reid RI, Przybelski SA, Lesnick TG, Schwarz CG, Senjem ML, Raghavan S, Vemuri P, Jack CR, Min HK, Jain MK, Miyagawa T, Forsberg LK, Fields JA, Savica R, Graff-Radford J, Jones DT, Botha H, St Louis EK, Knopman DS, Ramanan VK, Dickson DW, Graff-Radford NR, Ferman TJ, Petersen RC, Lowe VJ, Boeve BF, O'Brien JT, Kantarci K. Influences of amyloid-β and tau on white matter neurite alterations in dementia with Lewy bodies. NPJ Parkinsons Dis 2024; 10:76. [PMID: 38570511 PMCID: PMC10991290 DOI: 10.1038/s41531-024-00684-4] [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: 07/19/2023] [Accepted: 03/13/2024] [Indexed: 04/05/2024] Open
Abstract
Dementia with Lewy bodies (DLB) is a neurodegenerative condition often co-occurring with Alzheimer's disease (AD) pathology. Characterizing white matter tissue microstructure using Neurite Orientation Dispersion and Density Imaging (NODDI) may help elucidate the biological underpinnings of white matter injury in individuals with DLB. In this study, diffusion tensor imaging (DTI) and NODDI metrics were compared in 45 patients within the dementia with Lewy bodies spectrum (mild cognitive impairment with Lewy bodies (n = 13) and probable dementia with Lewy bodies (n = 32)) against 45 matched controls using conditional logistic models. We evaluated the associations of tau and amyloid-β with DTI and NODDI parameters and examined the correlations of AD-related white matter injury with Clinical Dementia Rating (CDR). Structural equation models (SEM) explored relationships among age, APOE ε4, amyloid-β, tau, and white matter injury. The DLB spectrum group exhibited widespread white matter abnormalities, including reduced fractional anisotropy, increased mean diffusivity, and decreased neurite density index. Tau was significantly associated with limbic and temporal white matter injury, which was, in turn, associated with worse CDR. SEM revealed that amyloid-β exerted indirect effects on white matter injury through tau. We observed widespread disruptions in white matter tracts in DLB that were not attributed to AD pathologies, likely due to α-synuclein-related injury. However, a fraction of the white matter injury could be attributed to AD pathology. Our findings underscore the impact of AD pathology on white matter integrity in DLB and highlight the utility of NODDI in elucidating the biological basis of white matter injury in DLB.
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Affiliation(s)
- Elijah Mak
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Robert I Reid
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
- Department of Information Technology, Mayo Clinic, Rochester, MN, USA
| | - Scott A Przybelski
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Timothy G Lesnick
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | | | - Matthew L Senjem
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
- Department of Information Technology, Mayo Clinic, Rochester, MN, USA
| | | | | | | | - Hoon Ki Min
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | - Manoj K Jain
- Department of Radiology, Mayo Clinic, Jacksonville, FL, USA
| | - Toji Miyagawa
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | | | - Julie A Fields
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | - Rodolfo Savica
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | | | - David T Jones
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - Hugo Botha
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - Erik K St Louis
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
- Center for Sleep Medicine, Division of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Rochester, MN, USA
| | | | | | - Dennis W Dickson
- Department of Psychiatry and Psychology, Mayo Clinic, Jacksonville, FL, USA
| | | | - Tanis J Ferman
- Department of Neurology, Mayo Clinic, Jacksonville, FL, USA
| | - Ronald C Petersen
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - Val J Lowe
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | | | - John T O'Brien
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Kejal Kantarci
- Department of Radiology, Mayo Clinic, Rochester, MN, USA.
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5
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Diaz‐Galvan P, Przybelski SA, Algeciras‐Schimnich A, Figdore DJ, Lesnick TG, Schwarz CG, Senjem ML, Gunter JL, Jack CR, Min PH, Jain MK, Miyagawa T, Forsberg LK, Fields JA, Savica R, Graff‐Radford J, Ramanan VK, Jones DT, Botha H, St Louis EK, Knopman DS, Graff‐Radford NR, Ferman TJ, Petersen RC, Lowe VJ, Boeve BF, Kantarci K. Plasma biomarkers of Alzheimer's disease in the continuum of dementia with Lewy bodies. Alzheimers Dement 2024; 20:2485-2496. [PMID: 38329197 PMCID: PMC11032523 DOI: 10.1002/alz.13653] [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: 10/05/2023] [Revised: 11/28/2023] [Accepted: 12/01/2023] [Indexed: 02/09/2024]
Abstract
INTRODUCTION Patients with dementia with Lewy bodies (DLB) may have Alzheimers disease (AD) pathology that can be detected by plasma biomarkers. Our objective was to evaluate plasma biomarkers of AD and their association with positron emission tomography (PET) biomarkers of amyloid and tau deposition in the continuum of DLB, starting from prodromal stages of the disease. METHODS The cohort included patients with isolated rapid eye movement (REM) sleep behavior disorder (iRBD), mild cognitive impairment with Lewy bodies (MCI-LB), or DLB, with a concurrent blood draw and PET scans. RESULTS Abnormal levels of plasma glial fibrillary acidic protein (GFAP) were found at the prodromal stage of MCI-LB in association with increased amyloid PET. Abnormal levels of plasma phosphorylated tau (p-tau)-181 and neurofilament light (NfL) were found at the DLB stage. Plasma p-tau-181 showed the highest accuracy in detecting abnormal amyloid and tau PET in patients with DLB. DISCUSSION The range of AD co-pathology can be detected with plasma biomarkers in the DLB continuum, particularly with plasma p-tau-181 and GFAP.
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Affiliation(s)
| | | | | | - Dan J. Figdore
- Department of Laboratory Medicine and PathologyMayo ClinicRochesterMinnesotaUSA
| | - Timothy G. Lesnick
- Department of Quantitative Health SciencesMayo ClinicRochesterMinnesotaUSA
| | | | | | | | | | - Paul H Min
- Department of RadiologyMayo ClinicRochesterMinnesotaUSA
| | - Manoj K. Jain
- Department of RadiologyMayo ClinicJacksonvilleFloridaUSA
| | - Toji Miyagawa
- Department of NeurologyMayo ClinicRochesterMinnesotaUSA
| | | | - Julie A. Fields
- Department of Psychiatry and PsychologyMayo ClinicRochesterMinnesotaUSA
| | | | | | | | | | - Hugo Botha
- Department of NeurologyMayo ClinicRochesterMinnesotaUSA
| | - Erik K. St Louis
- Mayo Center for Sleep MedicineMayo ClinicRochesterMinnesotaUSA
- Departments of Neurology and Clinical and Translational ResearchMayo Clinic Southwest WisconsinLa CrosseWisconsinUSA
| | | | | | - Tanis J. Ferman
- Department of Psychiatry & PsychologyMayo ClinicJacksonvilleFloridaUSA
| | - Ronald C. Petersen
- Department of Quantitative Health SciencesMayo ClinicRochesterMinnesotaUSA
- Department of NeurologyMayo ClinicRochesterMinnesotaUSA
| | - Val J. Lowe
- Department of RadiologyMayo ClinicRochesterMinnesotaUSA
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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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Jellinger KA. Mild cognitive impairment in dementia with Lewy bodies: an update and outlook. J Neural Transm (Vienna) 2023; 130:1491-1508. [PMID: 37418039 DOI: 10.1007/s00702-023-02670-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 06/29/2023] [Indexed: 07/08/2023]
Abstract
Dementia with Lewy bodies (DLB), the second most common degenerative neurocognitive disorder after Alzheimer disease (AD), is frequently preceded by a period of mild cognitive impairment (MCI), in which cognitive decline is associated with impairment of executive functions/attention, visuospatial deficits, or other cognitive domains and a variety of noncognitive and neuropsychiatric symptoms, many of which are similar but less severe than in prodromal AD. While 36-38% remain in the MCI state, at least the same will convert to dementia. Biomarkers are slowing of the EEG rhythms, atrophy of hippocampus and nucleus basalis of Meynert, temporoparietal hypoperfusion, signs of degeneration of the nigrostriatal dopaminergic, cholinergic and other neurotransmitter systems, and inflammation. Functional neuroimaging studies revealed disturbed connectivity of frontal and limbic networks associated with attention and cognitive controls, dopaminergic and cholinergic circuits manifested prior to overt brain atrophy. Sparse neuropathological data showed varying Lewy body and AD-related stages associated with atrophy of entorhinal, hippocampal, and mediotemporal cortices. Putative pathomechanisms of MCI are degeneration of limbic, dopaminergic, and cholinergic systems with Lewy pathology affecting specific neuroanatomical pathways associated with progressing AD-related lesions, but many pathobiological mechanisms involved in the development of MCI in LBD remain to be elucidated as a basis for early diagnosis and future adequate treatment modalities to prevent progression of this debilitating disorder.
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Affiliation(s)
- Kurt A Jellinger
- Institute of Clinical Neurobiology, Alberichgasse 5/13, 1150, Vienna, Austria.
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Jellinger KA. Morphological characteristics differentiate dementia with Lewy bodies from Parkinson disease with and without dementia. J Neural Transm (Vienna) 2023:10.1007/s00702-023-02660-3. [PMID: 37306790 DOI: 10.1007/s00702-023-02660-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Accepted: 06/01/2023] [Indexed: 06/13/2023]
Abstract
Dementia with Lewy bodies (DLB) and Parkinson disease (PD) with and without dementia are entities of a spectrum of Lewy body diseases. About 26.3% of all PD patients develop dementia increasing up to 83%. Parkinson disease-dementia (PDD) and DLB share many clinical and morphological features that separate them from non-demented PD (PDND). Clinically distinguished by the temporal sequence of motor and cognitive symptoms, the pathology of PDD and DLB includes variable combinations of Lewy body (LB) and Alzheimer (AD) lesions, both being more severe in DLB, but much less frequent and less severe in PDND. The objective of this study was to investigate the morphological differences between these three groups. 290 patients with pathologically confirmed PD were reviewed. 190 of them had clinical dementia; 110 met the neuropathological criteria of PDD and 80 of DLB. The major demographic and clinical data were obtained from medical records. Neuropathology included semiquantitative assessment of LB and AD pathologies including cerebral amyloid angiopathy (CAA). PDD patients were significantly older than PDND and DLB ones (83.9 vs 77.9 years, p < 0.05); the age of DLB patients was between them (80.0 years), while the disease duration was shortest in DLB. Brain weight was lowest in DLB, which showed higher Braak LB scores (mean 5.2 vs 4.2) and highest Braak tau stages (mean 5.2 vs 4.4 and 2.3, respectively). Thal Aβ phases were also highest in DLB (mean 4.1 vs 3.0 and 1.8, respectively). Major findings were frequency and degree of CAA, being highest in DLB (95% vs 50% and 24%, with scores 2.9 vs 0.7 and 0.3, respectively), whereas other small vessel lesions showed no significant differences. Striatal Aβ deposits also differentiated DLB from the other groups. This and other studies of larger cohorts of PD patients indicate that the association of CAA and cortical tau-but less-LB pathologies are associated with more severe cognitive decline and worse prognosis that distinguish DLB from PDD and PDND. The particular impact of both CAA and tau pathology supports the concept of a pathogenic continuum ranging from PDND to DLB + AD within the spectrum of age-related synucleinopathies.
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Affiliation(s)
- Kurt A Jellinger
- Institute of Clinical Neurobiology, Alberichgasse 5/13, 1150, Vienna, Austria.
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9
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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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10
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Inguanzo A, Poulakis K, Mohanty R, Schwarz CG, Przybelski SA, Diaz-Galvan P, Lowe VJ, Boeve BF, Lemstra AW, van de Beek M, van der Flier W, Barkhof F, Blanc F, Loureiro de Sousa P, Philippi N, Cretin B, Demuynck C, Nedelska Z, Hort J, Segura B, Junque C, Oppedal K, Aarsland D, Westman E, Kantarci K, Ferreira D. MRI data-driven clustering reveals different subtypes of Dementia with Lewy bodies. NPJ Parkinsons Dis 2023; 9:5. [PMID: 36670121 PMCID: PMC9859778 DOI: 10.1038/s41531-023-00448-6] [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: 08/30/2022] [Accepted: 01/05/2023] [Indexed: 01/21/2023] Open
Abstract
Dementia with Lewy bodies (DLB) is a neurodegenerative disorder with a wide heterogeneity of symptoms, which suggests the existence of different subtypes. We used data-driven analysis of magnetic resonance imaging (MRI) data to investigate DLB subtypes. We included 165 DLB from the Mayo Clinic and 3 centers from the European DLB consortium and performed a hierarchical cluster analysis to identify subtypes based on gray matter (GM) volumes. To characterize the subtypes, we used demographic and clinical data, as well as β-amyloid, tau, and cerebrovascular biomarkers at baseline, and cognitive decline over three years. We identified 3 subtypes: an older subtype with reduced cortical GM volumes, worse cognition, and faster cognitive decline (n = 49, 30%); a subtype with low GM volumes in fronto-occipital regions (n = 76, 46%); and a subtype of younger patients with the highest cortical GM volumes, proportionally lower GM volumes in basal ganglia and the highest frequency of cognitive fluctuations (n = 40, 24%). This study shows the existence of MRI subtypes in DLB, which may have implications for clinical workout, research, and therapeutic decisions.
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Grants
- R01 AG041851 NIA NIH HHS
- C06 RR018898 NCRR NIH HHS
- P50 AG016574 NIA NIH HHS
- R01 AG040042 NIA NIH HHS
- R01 NS080820 NINDS NIH HHS
- R37 AG011378 NIA NIH HHS
- U01 NS100620 NINDS NIH HHS
- U01 AG006786 NIA NIH HHS
- Alzheimerfonden
- Center for Innovative Medicine (CIMED) Swedish Brain funding (Hjärnfonden) ALF Medicine Swedish Dementia funding (Demensförbundet) Foundation for Geriatric Diseases at Karolinska Institutet Karolinska Institutet travel grants
- Little Family Foundation
- National Institutes of Health (U01-NS100620, P50-AG016574, U01-AG006786, R37-AG011378, R01-AG041851, R01-AG040042, C06-RR018898 and R01-NS080820), Foundation Dr. Corinne Schuler, the Mangurian Foundation for Lewy Body Research, the Elsie and Marvin Dekelboum Family Foundation, the Robert H. and Clarice Smith and Abigail Van Buren Alzheimer’s Disease Research Program
- Projet Hospitalier de Recherche Clinique (PHRC, IDCRB 2012-A00992-41) and Fondation Université de Strasbourg
- The Grant Agency of Charles University (grant PRIMUS 22/MED/011).
- Western Norway Regional Health Authority, the Swedish Foundation for Strategic Research (SSF), the Swedish Research Council (VR)Center for Innovative Medicine (CIMED), the Swedish Brain funding (Hjärnfonden), ALF Medicine.
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Affiliation(s)
- Anna Inguanzo
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden
- Medical Psychology Unit, Institute of Neurosciences, University of Barcelona, Barcelona, Spain
- Institute of Biomedical Research August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Konstantinos Poulakis
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden
| | - Rosaleena Mohanty
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden
| | | | | | - Patricia Diaz-Galvan
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden
- Department of Radiology, Mayo Clinic, Rochester, MN, US
| | - Val J Lowe
- Department of Radiology, Mayo Clinic, Rochester, MN, US
| | | | - Afina W Lemstra
- Department of Neurology and Alzheimer Center, VU University Medical Center, Amsterdam, Netherlands
| | - Marleen van de Beek
- Department of Neurology and Alzheimer Center, VU University Medical Center, Amsterdam, Netherlands
| | - Wiesje van der Flier
- Department of Neurology and Alzheimer Center, VU University Medical Center, Amsterdam, Netherlands
| | - Frederik Barkhof
- Department of Neurology and Alzheimer Center, VU University Medical Center, Amsterdam, Netherlands
- UCL institutes of neurology and center for medical image computing, London, UK
| | - Frederic Blanc
- Day Hospital of Geriatrics, Memory Resource and Research Center (CM2R) of Strasbourg, Department of Geriatrics, Hopitaux Universitaires de Strasbourg, Strasbourg, France
- University of Strasbourg and French National Center for Scientific Research (CNRS), ICube Laboratory and Federation de Medecine Translationnelle de Strasbourg (FMTS), Team Imagerie Multimodale Integrative en Sante (IMIS)/ICONE, Strasbourg, France
| | - Paulo Loureiro de Sousa
- Day Hospital of Geriatrics, Memory Resource and Research Center (CM2R) of Strasbourg, Department of Geriatrics, Hopitaux Universitaires de Strasbourg, Strasbourg, France
- University of Strasbourg and French National Center for Scientific Research (CNRS), ICube Laboratory and Federation de Medecine Translationnelle de Strasbourg (FMTS), Team Imagerie Multimodale Integrative en Sante (IMIS)/ICONE, Strasbourg, France
| | - Nathalie Philippi
- Day Hospital of Geriatrics, Memory Resource and Research Center (CM2R) of Strasbourg, Department of Geriatrics, Hopitaux Universitaires de Strasbourg, Strasbourg, France
- University of Strasbourg and French National Center for Scientific Research (CNRS), ICube Laboratory and Federation de Medecine Translationnelle de Strasbourg (FMTS), Team Imagerie Multimodale Integrative en Sante (IMIS)/ICONE, Strasbourg, France
| | - Benjamin Cretin
- Day Hospital of Geriatrics, Memory Resource and Research Center (CM2R) of Strasbourg, Department of Geriatrics, Hopitaux Universitaires de Strasbourg, Strasbourg, France
- University of Strasbourg and French National Center for Scientific Research (CNRS), ICube Laboratory and Federation de Medecine Translationnelle de Strasbourg (FMTS), Team Imagerie Multimodale Integrative en Sante (IMIS)/ICONE, Strasbourg, France
| | - Catherine Demuynck
- Day Hospital of Geriatrics, Memory Resource and Research Center (CM2R) of Strasbourg, Department of Geriatrics, Hopitaux Universitaires de Strasbourg, Strasbourg, France
- University of Strasbourg and French National Center for Scientific Research (CNRS), ICube Laboratory and Federation de Medecine Translationnelle de Strasbourg (FMTS), Team Imagerie Multimodale Integrative en Sante (IMIS)/ICONE, Strasbourg, France
| | - Zuzana Nedelska
- Department of Radiology, Mayo Clinic, Rochester, MN, US
- Department of Neurology, Charles University, 2nd Faculty of Medicine, Motol University Hospital, Prague, Czech Republic
- International Clinical Research Center, St. Annes University Hospital Brno, Brno, Czech Republic
| | - Jakub Hort
- Department of Neurology, Charles University, 2nd Faculty of Medicine, Motol University Hospital, Prague, Czech Republic
- International Clinical Research Center, St. Annes University Hospital Brno, Brno, Czech Republic
| | - Barbara Segura
- Medical Psychology Unit, Institute of Neurosciences, University of Barcelona, Barcelona, Spain
- Institute of Biomedical Research August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Carme Junque
- Medical Psychology Unit, Institute of Neurosciences, University of Barcelona, Barcelona, Spain
- Institute of Biomedical Research August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Ketil Oppedal
- Center for Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway
- Stavanger Medical Imaging Laboratory (SMIL), Department of Radiology, Stavanger University Hospital, Stavanger, Norway
- Department of Electrical Engineering and Computer Science, University of Stavanger, Stavanger, Norway
| | - Dag Aarsland
- Department of Neuroimaging, Center for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, London, UK
| | - Eric Westman
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden
- Department of Neuroimaging, Center for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, London, UK
| | | | - Daniel Ferreira
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden.
- Department of Radiology, Mayo Clinic, Rochester, MN, US.
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