1
|
Quiroz YT, Aguillón D, Arboleda‐Velasquez J, Bocanegra Y, Cardona‐Gómez GP, Corrada MM, Diez I, Garcia‐Cifuentes E, Kosik K, Martinez L, Pineda‐Salazar D, Posada R, Roman N, Sepulveda‐Falla D, Slachevsky A, Soto‐Añari M, Tabilo E, Vasquez D, Villegas‐Lanau A. Driving research on successful aging and neuroprotection in Latin America: Insights from the inaugural symposium on brain resilience and healthy longevity. Alzheimers Dement 2025; 21:e70037. [PMID: 40145291 PMCID: PMC11947765 DOI: 10.1002/alz.70037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2024] [Revised: 01/30/2025] [Accepted: 01/31/2025] [Indexed: 03/28/2025]
Abstract
INTRODUCTION Global life expectancy has steadily increased in recent decades, resulting in a significant rise in the number of individuals aged 80 years and older. This trend is also evident in Latin America, where life expectancy is improving, though at varying rates across countries and regions. METHODS Partnering with the Neurosciences Group of Antioquia (GNA), we launched a Colombian study on resilience in families with autosomal dominant Alzheimer's disease and the oldest-old population. Over the past 2 years, the project has expanded to include participants from Peru, Chile, and Costa Rica. RESULTS This research led to the first symposium on Brain Resilience and Healthy Longevity, held in Medellín, Colombia, in August 2024. DISCUSSION The article summarizes key discussions from the symposium, highlighting the most promising opportunities for brain resilience and prevention research in the region and offering recommendations for future research to promote healthy aging and dementia-free communities. HIGHLIGHTS Uncovering the genetic and physiological drivers of cognitive resilience, neurodegeneration resistance, and healthy longevity is essential for maintaining brain function as we age. "Superagers" and cognitively resilient individuals from Latin American families with Alzheimer's disease offer valuable insights into brain protection mechanisms. Studying the interplay of socio-environmental and genetic factors in the oldest-old is key to understanding healthy longevity and improving dementia prevention. The inaugural Brain Resilience and Healthy Longevity Symposium highlights the need for global collaboration to uncover factors that drive cognitive resilience and healthy aging in Latin America, advancing dementia prevention.
Collapse
Affiliation(s)
- Yakeel T. Quiroz
- Harvard Medical SchoolMassachusetts General HospitalBostonMassachusettsUSA
- Boston University Department of Psychological and Brain SciencesBostonMassachusettsUSA
- Grupo de Neurociencias de Antioquia, Facultad de MedicinaUniversidad de Antioquia, Calle 62 # 52 ‐59, Sede de Investigación Universitaria ‐ SIUMedellínColombia
| | - David Aguillón
- Grupo de Neurociencias de Antioquia, Facultad de MedicinaUniversidad de Antioquia, Calle 62 # 52 ‐59, Sede de Investigación Universitaria ‐ SIUMedellínColombia
| | | | - Yamile Bocanegra
- Grupo de Neurociencias de Antioquia, Facultad de MedicinaUniversidad de Antioquia, Calle 62 # 52 ‐59, Sede de Investigación Universitaria ‐ SIUMedellínColombia
| | - Gloria Patricia Cardona‐Gómez
- Grupo de Neurociencias de Antioquia, Facultad de MedicinaUniversidad de Antioquia, Calle 62 # 52 ‐59, Sede de Investigación Universitaria ‐ SIUMedellínColombia
| | - Maria M. Corrada
- Department of Neurology and Department of Epidemiology & BiostatisticsUniversity of CaliforniaIrvineCaliforniaUSA
- Institute of Memory Impairments and Neurological DisordersUniversity of CaliforniaIrvineCaliforniaUSA
| | - Ibai Diez
- Harvard Medical SchoolMassachusetts General HospitalBostonMassachusettsUSA
- Computational Neuroimaging Lab, BioBizkaia health Research Institute, BarakaldoBizkaiaSpain
- Ikerbasque Basque Foundation for ScienceBilbaoBiscaySpain
| | - Elkin Garcia‐Cifuentes
- Grupo de Neurociencias de Antioquia, Facultad de MedicinaUniversidad de Antioquia, Calle 62 # 52 ‐59, Sede de Investigación Universitaria ‐ SIUMedellínColombia
- Ageing Institute, Medical SchoolPontificia Universidad JaverianaBogotaColombia
| | | | - Lusiana Martinez
- Harvard Medical SchoolMassachusetts General HospitalBostonMassachusettsUSA
| | - David Pineda‐Salazar
- Grupo de Neurociencias de Antioquia, Facultad de MedicinaUniversidad de Antioquia, Calle 62 # 52 ‐59, Sede de Investigación Universitaria ‐ SIUMedellínColombia
| | - Rafael Posada
- Grupo de Neurociencias de Antioquia, Facultad de MedicinaUniversidad de Antioquia, Calle 62 # 52 ‐59, Sede de Investigación Universitaria ‐ SIUMedellínColombia
| | - Norbel Roman
- Grupo de Trabajo de Trastornos del Movimiento de Centro América, MDS, San Pedro Montes de Oca, Universidad de Costa Rica, CIHATASan JoséCosta Rica
| | | | - Andrea Slachevsky
- Gerosciences Center for Brain Health and Metabolism (GERO)SantiagoChile
- Memory and Neuropsychiatric Center (CMYN) Neurology DepartmentHospital del Salvador & Faculty of Medicine, University of ChileProvidenciaChile
- Neuropsychology and Clinical Neuroscience Laboratory (LANNEC), Physiopathology Department – ICBM, Neuroscience and East Neuroscience Departments, Faculty of MedicineUniversity of ChileSantiagoChile
- Neurology and Psychiatry DepartmentClínica Alemana‐University DesarrolloSantiagoChile
| | - Marcio Soto‐Añari
- Universidad Católica San Pablo, Urb. Campiña Paisajista, s/n, Quinta VivancoArequipaPeru
| | - Evelyn Tabilo
- Gerosciences Center for Brain Health and Metabolism (GERO)SantiagoChile
- Memory and Neuropsychiatric Center (CMYN) Neurology DepartmentHospital del Salvador & Faculty of Medicine, University of ChileProvidenciaChile
- Neuropsychology and Clinical Neuroscience Laboratory (LANNEC), Physiopathology Department – ICBM, Neuroscience and East Neuroscience Departments, Faculty of MedicineUniversity of ChileSantiagoChile
- Neurology and Psychiatry DepartmentClínica Alemana‐University DesarrolloSantiagoChile
| | - Daniel Vasquez
- Grupo de Neurociencias de Antioquia, Facultad de MedicinaUniversidad de Antioquia, Calle 62 # 52 ‐59, Sede de Investigación Universitaria ‐ SIUMedellínColombia
| | - Andrés Villegas‐Lanau
- Grupo de Neurociencias de Antioquia, Facultad de MedicinaUniversidad de Antioquia, Calle 62 # 52 ‐59, Sede de Investigación Universitaria ‐ SIUMedellínColombia
| |
Collapse
|
2
|
Browne DF, Smirnov DS, Coughlin DG, Peng I, Standke HG, Kim Y, Pizzo DP, Unapanta A, Andreasson T, Hiniker A, Kraus A. Early Alzheimer's Disease with frequent neuritic plaques harbors neocortical tau seeds distinct from primary age-related tauopathy. Nat Commun 2025; 16:1851. [PMID: 39984462 PMCID: PMC11845591 DOI: 10.1038/s41467-025-56469-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2024] [Accepted: 01/20/2025] [Indexed: 02/23/2025] Open
Abstract
Tau neurofibrillary tangles (NFTs) in the presence of amyloid-β (Aβ) plaques are required for the diagnosis of Alzheimer's Disease (AD) and closely track with cognitive impairment, yet cognitively normal aged individuals frequently exhibit NFTs arising from tau seed accumulation. This may suggest that not all tau species are equally pathogenic and raises the question of whether unidentified tau modifications augment tau seeding activity and neurodegeneration in AD. We investigated how biochemical modifications of tau relate to clinicopathological outcomes in a cohort of 38 patients with Braak-matched AD neuropathologic change (ADNC) or primary age-related tauopathy (PART), a 3R/4R tauopathy with identical tau filament core structure to ADNC but with little to no Aβ deposition. We comprehensively measured tau histologic density, seeding activity using real-time quaking induced conversion (RT-QuIC) seed amplification assays, and select post-translational modifications (PTMs) (i.e. pT217, pS202/T205, & C-terminal epitopes) in hippocampus and neocortex. Even in cases without overt neocortical tau neuropathology, substantial hippocampal and neocortical tau seeding occurred in both PART and ADNC and predicted region-specific cognitive performance and longitudinal decline. Notably, tau seeding and PTM profiles were associated with Aβ neuritic plaque density and differentiated ADNC from PART in neocortex. Our data indicate that tau seed modifications meaningfully relate to disease trajectory, potentially explaining the more severe cognitive dysfunction observed in late-stage AD versus PART.
Collapse
Affiliation(s)
- Danielle F Browne
- Department of Pathology, Case Western Reserve University School of Medicine, Cleveland, 44106, OH, USA
| | - Denis S Smirnov
- Department of Neurosciences, University of California San Diego, La Jolla, CA, 92037, USA
- Department of Pathology, Harvard Medical School, Mass General Brigham, Boston, 02114, MA, USA
| | - David G Coughlin
- Department of Neurosciences, University of California San Diego, La Jolla, CA, 92037, USA
| | - Iris Peng
- Department of Pathology, Case Western Reserve University School of Medicine, Cleveland, 44106, OH, USA
| | - Heidi G Standke
- Department of Pathology, Case Western Reserve University School of Medicine, Cleveland, 44106, OH, USA
| | - Yongya Kim
- Department of Neurosciences, University of California San Diego, La Jolla, CA, 92037, USA
| | - Donald P Pizzo
- Department of Pathology, University of California San Diego, La Jolla, 92037, CA, USA
| | - Alexandra Unapanta
- Department of Pathology, University of California San Diego, La Jolla, 92037, CA, USA
| | - Thea Andreasson
- Department of Neurosciences, University of California San Diego, La Jolla, CA, 92037, USA
| | - Annie Hiniker
- Department of Pathology, University of California San Diego, La Jolla, 92037, CA, USA.
- Department of Pathology, University of Southern California Keck School of Medicine, Los Angeles, 90033, CA, USA.
| | - Allison Kraus
- Department of Pathology, Case Western Reserve University School of Medicine, Cleveland, 44106, OH, USA.
| |
Collapse
|
3
|
Asken BM, Brett BL, Barr WB, Banks S, Wethe JV, Dams-O'Connor K, Stern RA, Alosco ML. Chronic traumatic encephalopathy: State-of-the-science update and narrative review. Clin Neuropsychol 2025:1-25. [PMID: 39834035 DOI: 10.1080/13854046.2025.2454047] [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: 08/07/2024] [Accepted: 01/10/2025] [Indexed: 01/22/2025]
Abstract
OBJECTIVE The long-recognized association of brain injury with increased risk of dementia has undergone significant refinement and more detailed study in recent decades. Chronic traumatic encephalopathy (CTE) is a specific neurodegenerative tauopathy related to prior exposure to repetitive head impacts (RHI). We aim to contextualize CTE within a historical perspective and among emerging data which highlights the scientific and conceptual evolution of CTE-related research in parallel with the broader field of neurodegenerative disease and dementia. METHODS We provide a narrative state-of-the-science update on CTE neuropathology, clinical manifestations, biomarkers, different types and patterns of head impact exposure relevant for CTE, and the complicated influence of neurodegenerative co-pathology on symptoms. CONCLUSIONS Now almost 20 years since the initial case report of CTE in a former American football player, the field of CTE continues evolving with increasing clarity but also several ongoing controversies. Our understanding of CTE neuropathology outpaces that of disease-specific clinical correlates or the development of in-vivo biomarkers. Diagnostic criteria for symptoms attributable to CTE are still being validated, but leveraging increasingly available biomarkers for other conditions like Alzheimer's disease may be helpful for informing the CTE differential diagnosis. As diagnostic refinement efforts advance, clinicians should provide care and/or referrals to providers best suited to treat an individual patient's clinical symptoms, many of which have evidence-based behavioral treatment options that are etiologically agnostic. Several ongoing research initiatives and the gradual accrual of gold standard clinico-pathological data will pay dividends for advancing the many existing gaps in the field of CTE.
Collapse
Affiliation(s)
- Breton M Asken
- Department of Clinical and Health Psychology, University of Florida, 1Florida Alzheimer's Disease Research Center, Gainesville, FL, USA
| | - Benjamin L Brett
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WS, USA
| | - William B Barr
- Department of Neurology, New York University Langone Health Medical Center, New York, NY, USA
| | - Sarah Banks
- Department of Neuroscience, University of California San Diego, La Jolla, CA, USA
| | - Jennifer V Wethe
- Departments of Psychiatry and Psychology, Mayo Clinic, Phoenix, AZ, USA
| | - Kristen Dams-O'Connor
- Departments of Rehabilitation Medicine and Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Robert A Stern
- Departments of Neurology, Neurosurgery, and Anatomy & Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston University CTE and Alzheimer's Disease Research Centers, Boston, MA, USA
| | - Michael L Alosco
- Departments of Neurology and Anatomy & Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston University CTE and Alzheimer's Disease Research Centers, Boston, MA, USA
| |
Collapse
|
4
|
Ryu T, Kim K, Asiimwe N, Na CH. Proteomic Insight Into Alzheimer's Disease Pathogenesis Pathways. Proteomics 2025:e202400298. [PMID: 39791267 DOI: 10.1002/pmic.202400298] [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: 09/14/2024] [Revised: 12/21/2024] [Accepted: 12/23/2024] [Indexed: 01/12/2025]
Abstract
Alzheimer's disease (AD) is a leading cause of dementia, but the pathogenesis mechanism is still elusive. Advances in proteomics have uncovered key molecular mechanisms underlying AD, revealing a complex network of dysregulated pathways, including amyloid metabolism, tau pathology, apolipoprotein E (APOE), protein degradation, neuroinflammation, RNA splicing, metabolic dysregulation, and cognitive resilience. This review examines recent proteomic findings from AD brain tissues and biological fluids, highlighting potential biomarkers and therapeutic targets. By examining the proteomic landscape of them, we aim to deepen our understanding of the disease and support developing precision medicine strategies for more effective interventions.
Collapse
Affiliation(s)
- Taekyung Ryu
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Kyungdo Kim
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Nicholas Asiimwe
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Chan Hyun Na
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| |
Collapse
|
5
|
Mikhailenko E, Colangelo K, Tuimala J, Kero M, Savola S, Raunio A, Kok EH, Tanskanen M, Mäkelä M, Puttonen H, Mäyränpää MI, Kumar D, Kaivola K, Paetau A, Tienari PJ, Polvikoski T, Myllykangas L. Limbic-predominant age-related TDP-43 encephalopathy in the oldest old: a population-based study. Brain 2025; 148:154-167. [PMID: 38938199 PMCID: PMC11706281 DOI: 10.1093/brain/awae212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Revised: 06/05/2024] [Accepted: 06/10/2024] [Indexed: 06/29/2024] Open
Abstract
Population-based cohort studies are essential for understanding the pathological basis of dementia in older populations. Previous studies have shown that limbic-predominant age-related TDP-43 encephalopathy neuropathologic change (LATE-NC) increases with age, but there have been only a few studies, which have investigated this entity in a population-based setting. Here we studied the frequency of LATE-NC and its associations with other brain pathologies and cognition in a population aged ≥ 85 years. The population-based Vantaa 85+ study cohort includes all 601 individuals aged ≥85 years who were living in Vantaa, Finland in 1991. A neuropathological examination was performed on 304 subjects (50.5%) and LATE-NC staging was possible in 295 of those. Dementia status and Mini-Mental State Examination (MMSE) scores were defined in the baseline study and three follow-ups (1994-99). The LATE-NC stages were determined based on TDP-43 immunohistochemistry, according to recently updated recommendations. Arteriolosclerosis was digitally assessed by calculating the average sclerotic index of five random small arterioles in amygdala and hippocampal regions, and frontal white matter. The association of LATE-NC with arteriolosclerosis and previously determined neuropathological variables including Alzheimer's disease neuropathologic change (ADNC), Lewy-related pathology (LRP), hippocampal sclerosis (HS) and cerebral amyloid angiopathy (CAA), and cognitive variables were analysed by Fisher's exact test, linear and logistic regression (univariate and multivariate) models. LATE-NC was found in 189 of 295 subjects (64.1%). Stage 2 was the most common (28.5%) and stage 3 the second most common (12.9%), whereas stages 1a, 1b and 1c were less common (9.5%, 5.1% and 8.1%, respectively). Stages 1a (P < 0.01), 2 (P < 0.001) and 3 (P < 0.001) were significantly associated with dementia and lower MMSE scores. LATE-NC was associated with ADNC (P < 0.001), HS (P < 0.001), diffuse neocortical LRP (P < 0.002), and arteriolosclerosis in amygdala (P < 0.02). In most cases LATE-NC occurred in combination alongside other neuropathological changes. There were only six subjects with dementia who had LATE-NC without high levels of ADNC or LRP (2% of the cohort, 3% of the cases with dementia), and five of these had HS. In all multivariate models, LATE-NC was among the strongest independent predictors of dementia. When LATE-NC and ADNC were assessed in a multivariate model without other dementia-associated pathologies, the attributable risk was higher for LATE-NC than ADNC (24.2% versus 18.6%). This population-based study provides evidence that LATE-NC is very common and one of the most significant determinants of dementia in the general late-life aged population.
Collapse
Affiliation(s)
| | - Kia Colangelo
- Department of Pathology, University of Helsinki, 00014 Helsinki, Finland
| | - Jarno Tuimala
- Department of Pathology, University of Helsinki, 00014 Helsinki, Finland
| | - Mia Kero
- Department of Pathology, University of Helsinki, 00014 Helsinki, Finland
- Department of Pathology, HUS Diagnostic Center, Helsinki University Hospital, 00029 Helsinki, Finland
| | - Sara Savola
- Department of Pathology, University of Helsinki, 00014 Helsinki, Finland
- Department of Pathology, HUS Diagnostic Center, Helsinki University Hospital, 00029 Helsinki, Finland
| | - Anna Raunio
- Department of Pathology, University of Helsinki, 00014 Helsinki, Finland
- Department of Pathology, HUS Diagnostic Center, Helsinki University Hospital, 00029 Helsinki, Finland
| | - Eloise H Kok
- Department of Pathology, University of Helsinki, 00014 Helsinki, Finland
| | - Maarit Tanskanen
- Department of Pathology, University of Helsinki, 00014 Helsinki, Finland
| | - Mira Mäkelä
- Department of Pathology, University of Helsinki, 00014 Helsinki, Finland
| | - Henri Puttonen
- Department of Pathology, University of Helsinki, 00014 Helsinki, Finland
- Department of Pathology, HUS Diagnostic Center, Helsinki University Hospital, 00029 Helsinki, Finland
| | - Mikko I Mäyränpää
- Department of Pathology, University of Helsinki, 00014 Helsinki, Finland
- Department of Pathology, HUS Diagnostic Center, Helsinki University Hospital, 00029 Helsinki, Finland
| | | | - Karri Kaivola
- Translational Immunology, Research Programs Unit, University of Helsinki, Helsinki, 00014 Finland
- Department of Neurology, University of Helsinki and Helsinki University Hospital, 00014 Helsinki, Finland
| | - Anders Paetau
- Department of Pathology, University of Helsinki, 00014 Helsinki, Finland
- Department of Pathology, HUS Diagnostic Center, Helsinki University Hospital, 00029 Helsinki, Finland
| | - Pentti J Tienari
- Translational Immunology, Research Programs Unit, University of Helsinki, Helsinki, 00014 Finland
- Department of Neurology, University of Helsinki and Helsinki University Hospital, 00014 Helsinki, Finland
| | - Tuomo Polvikoski
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne NE1 7RU, UK
| | - Liisa Myllykangas
- Department of Pathology, University of Helsinki, 00014 Helsinki, Finland
- Department of Pathology, HUS Diagnostic Center, Helsinki University Hospital, 00029 Helsinki, Finland
| |
Collapse
|
6
|
Decaix T, Mouton-Liger F, Dumurgier J, Cognat E, Vrillon A, Hugon J, Hourregue C, Bouaziz-Amar E, Wallon D, Muraine MQ, Troussière AC, Magnin E, Duron E, Philippi N, Blanc F, Gabelle A, Croisile B, Jager A, Pasquier F, Schraen S, Sayette VDL, Beaufils É, Miguet-Alfonsi C, Paquet C, Lilamand M. Usefulness of Cerebrospinal Fluid Alzheimer's disease biomarkers in older patients: Evidence from a national multicenter prospective study. J Prev Alzheimers Dis 2025; 12:100009. [PMID: 39800467 DOI: 10.1016/j.tjpad.2024.100009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/02/2025]
Abstract
BACKGROUND The use of cerebrospinal (CSF) biomarkers in the diagnosis of Alzheimer's disease (AD) has been gaining interest in clinical practice. Although their usefulness has been demonstrated, their potential value in older patients remains debated. OBJECTIVES To assess whether knowledge of the results of CSF AD biomarkers was associated with the same gain in diagnostic confidence in older adults > 80 than in younger patients. DESIGN Prospective multicenter study, including memory clinics physicians who completed a two-part questionnaire for all their patients addressing the requirement for assessment of Alzheimer's disease biomarkers in CSF proposed as part of routine care during the study period. SETTING 30 secondary or tertiary memory clinics in France. MEASUREMENTS Clinicians indicated their diagnosis hypothesis and an estimate of their diagnostic confidence [scale 1-10]. Receiver operating characteristic (ROC) analysis, including the calculation of the area under the curve (AUC), was conducted using logistic regression to evaluate the diagnostic performance of CSF AD biomarkers. RESULTS In 813 consecutive patients, median age 70 [interquartile range (IQR) = 63 - 77] including 132 patients over 80 years, we observed a similar confidence gain in CSF biomarkers between older and younger patients, both for AD and non-AD diagnoses. In older patients, the added value of CSF biomarkers was greater when CSF biomarkers indicated AD profile whereas the initial hypothesis was "non-AD", leading to a final diagnosis of AD (2.4 ± 1.6 versus 1.1 ± 2.1, p-value, p = 0.03). ROC analyses showed similar performance of AD CSF biomarkers in older and younger patients. CONCLUSION CSF AD biomarkers added substantial value to clinical assessment in patients over 80. Their use seems crucial in the diagnostic process for older adults referred to memory clinics.
Collapse
Affiliation(s)
- Théodore Decaix
- Geriatrics Department, Fernand Widal Lariboisière University Hospital, GHU APHP.Nord, Paris, France; Paris-Cité University, CNRS, CitCoM, F-75006, Paris, France.
| | | | - Julien Dumurgier
- Cognitive Neurology Center, Fernand Widal Lariboisière University Hospital, GHU APHP.Nord, Paris, France; Paris-Cité University, Inserm U1153, Paris, France
| | - Emmanuel Cognat
- Paris-Cité University, Inserm U1144, Paris, France; Cognitive Neurology Center, Fernand Widal Lariboisière University Hospital, GHU APHP.Nord, Paris, France
| | - Agathe Vrillon
- Paris-Cité University, Inserm U1144, Paris, France; Cognitive Neurology Center, Fernand Widal Lariboisière University Hospital, GHU APHP.Nord, Paris, France
| | - Jacques Hugon
- Paris-Cité University, Inserm U1144, Paris, France; Paris-Cité University, Inserm U1153, Paris, France
| | - Claire Hourregue
- Cognitive Neurology Center, Fernand Widal Lariboisière University Hospital, GHU APHP.Nord, Paris, France
| | - Elodie Bouaziz-Amar
- Paris-Cité University, Inserm U1144, Paris, France; Biochemistry Department, Fernand Widal Lariboisière University Hospital, GHU APHP.Nord, Paris, France
| | - David Wallon
- Univ Rouen Normandie, Normandie Univ, Inserm, U1245; CHU Rouen, Department of Neurology and CNRMAJ, F-7600, Rouen, France
| | | | - Anne-Cécile Troussière
- Consultation mémoire, centre hospitalier de Versailles, 177 rue de Versailles, 78150, Le Chesnay
| | - Eloi Magnin
- Université de Franche-Comté, UMR INSERM 1322 LINC, CMRR, service de neurologie, CHU Besançon, F-25000 Besançon
| | - Emmanuelle Duron
- Service Hospitalo-Universitaire de gériatrie. Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Paris-Saclay, Hôpital Paul-Brousse Villejuif FR, 12 Avenue Paul Vaillant Couturier, Villejuif, 94800, France; CESP, Team MOODS, Université Paris-Saclay, UVSQ, Le Kremlin-Bicêtre, France
| | - Nathalie Philippi
- CMRR (Memory Resources and Research Centre), Neurology Service and Geriatrics Department, University Hospital of Strasbourg, Strasbourg, France; ICube Laboratory UMR 7357, University of Strasbourg and CNRS, Strasbourg, France
| | - Frédéric Blanc
- CMRR (Memory Resources and Research Centre), Neurology Service and Geriatrics Department, University Hospital of Strasbourg, Strasbourg, France; ICube Laboratory UMR 7357, University of Strasbourg and CNRS, Strasbourg, France
| | - Audrey Gabelle
- Memory Research and Resources Center, Department of Neurology, Chu Gui de Chauliac, University of Montpellier, Institute of Neurosciences of Montpellier, France
| | - Bernard Croisile
- Service de neuropsychologie, Hospices Civils de Lyon, Hôpital Neurologique Pierre Wertheimer, 69677 Bron Cedex, France
| | - Alain Jager
- Cabinet de neurologie SCM Jager-Gal, 6 place du Luxembourg, 57100, Thionville, France
| | - Florence Pasquier
- Univ. Lille, Inserm, CHU Lille, UMR-S1172, LiCEND, Lille Neuroscience & Cognition, LabEx DISTALZ, Lille, France
| | - Susanna Schraen
- Univ. Lille, Inserm, CHU Lille, UMR-S1172, LiCEND, Lille Neuroscience & Cognition, LabEx DISTALZ, Lille, France
| | | | - Émilie Beaufils
- Centre Mémoire Ressources et Recherche (CMRR), Centre Hospitalier Universitaire de Tours, Tours, France
| | | | - Claire Paquet
- Paris-Cité University, Inserm U1144, Paris, France; Paris-Cité University, Inserm U1153, Paris, France
| | - Matthieu Lilamand
- Geriatrics Department, Fernand Widal Lariboisière University Hospital, GHU APHP.Nord, Paris, France; Paris-Cité University, Inserm U1144, Paris, France; Paris-Cité University, Inserm U1153, Paris, France
| |
Collapse
|
7
|
Asken BM, Cid REC, Crocco EA, Armstrong MJ, Levy SA, Arias F, Rosselli M, Uribe IV, Barker WW, Matusz EF, DeSimone JC, Wang WE, Fiala J, Marsiske MM, DeKosky ST, Vaillancourt DE, Duara R, Loewenstein DA, Smith GE. Informing etiological heterogeneity of mild cognitive impairment and risk for progression to dementia with plasma p-tau217. J Prev Alzheimers Dis 2025; 12:100011. [PMID: 39800468 PMCID: PMC11955927 DOI: 10.1016/j.tjpad.2024.100011] [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] [Indexed: 02/09/2025]
Abstract
BACKGROUND Mild cognitive impairment (MCI) is a clinical diagnosis representing early symptom changes with preserved functional independence. There are multiple potential etiologies of MCI. While often presumed to be related to Alzheimer's disease (AD), other neurodegenerative and non-neurodegenerative causes are common. Wider availability of relatively non-invasive plasma AD biomarkers, such as p-tau217, can provide invaluable insights into MCI clinico-pathology and the associated implications for symptom etiology, prognosis (e.g., risk for progression to dementia), and treatment options. OBJECTIVES The main goal of this study was to evaluate differences between individuals with MCI with and without plasma p-tau217 biomarker evidence of AD (MCIAD+ and MCIAD-) as well as a control group of clinically normal older adults with negative AD biomarkers (CNAD-). We evaluated group differences in demographics, recruitment, clinical scales, fluid biomarkers, and brain imaging. We further probed these factors as independent contributors to symptoms among MCIAD- participants, for whom symptom etiology is most poorly understood. Lastly, in a subset of participants followed longitudinally, we investigated how these factors related to odds of clinical progression to dementia. DESIGN We conducted an observational cross-sectional and longitudinal clinical research study. Study groups were compared cross-sectionally on demographics, recruitment, clinical measures, and biomarkers (chi square analyses, analyses of covariance). Contributors to functional changes were evaluated with multiple linear regression. Factors associated with the odds of progression from MCI to dementia longitudinally were evaluated with binary logistic regression. SETTING 1Florida Alzheimer's Disease Research Center. PARTICIPANTS Cross-sectional analyses included 378 older adults classified as CNAD- (N = 76, age 66.1 ± 7.2, 63.2% female, 23.7% non-Hispanic/White), MCIAD- (N = 198, age 68.9 ± 7.9, 51.5% female, 29.3% non-Hispanic/White), or MCIAD+ (N = 104, age 73.9 ± 7.4, 52.9% female, 49.0% non-Hispanic/White). Longitudinal analyses focused on 207 participants with MCI (68.5% of cross-sectional MCI sample) followed for an average of 3 years. MEASUREMENTS Demographics (age, sex, years of education, self-identified race and ethnicity, primary spoken language), National Alzheimer's Coordinating Center-defined clinical phenotypes (Clinically Normal, Impaired - Not MCI, Amnestic MCI, Nonamnestic MCI, Dementia), recruitment source (clinic-based versus community-based), genetics (APOE genotype), functional evaluation (Clinical Dementia Rating scale), global cognition (Mini Mental State Exam), vascular history (Vascular Burden Score), neuropsychiatric symptoms (NPI-Q Total score), plasma biomarkers (ALZPath p-tau217, Quanterix Simoa-based GFAP and NfL), and brain imaging (grey matter volume in select AD-relevant regions of interest, global white matter hyperintensity volume). RESULTS Among those with MCI, 104 (34.4%) had plasma biomarker evidence of AD. MCIAD+ participants were more frequently recruited from clinic-based settings than MCIAD- (74.8% vs. 47.5%, p<.001). Over half (51.5%) of MCIAD+ carried at least one APOE e4 allele compared to 26.6% of MCIAD- and 29.4% of CNAD- (p<.001). Both MCIAD+ (p<.001, Cohen's d = 0.93) and MCIAD- (p<.001, d = 0.75) reported more severe neuropsychiatric symptoms than CNAD. MCIAD+ had higher plasma GFAP and NfL than both MCIAD- (GFAP: p<.001, d = 0.88, NfL: p<.001, d = 0.86) and CNAD- (GFAP: p<.001, d = 0.80; NfL: p<.001, d = 0.89). For the AD signature region of interest, MCIAD+ had lower volume than both CNAD- (p<.001, d = 0.78) and MCIAD- (p=.018, d = 0.39). For the hippocampus, both MCIAD+ (p<.001, d = 0.87) and MCIAD- (p<.001, d = 0.64) had lower volume than CNAD-. Longitudinally, older age (OR=1.14 [1.06-1.22], p<.001), higher levels of p-tau217 (OR=10.37 [3.00-35.02], p<.001) and higher neuropsychiatric symptoms (OR=1.19 [1.02-1.39], p=.023) were associated with higher odds of progression to dementia. CONCLUSIONS MCI is etiologically heterogeneous. The presence of Alzheimer's pathology defined by elevated plasma p-tau217 in individuals with MCI significantly worsens prognosis. Neuropsychiatric symptoms may contribute to cognitive complaints and risk for progressive decline irrespective of AD pathology. Plasma p-tau217 can inform our understanding of base rates of different MCI phenotypes on a larger scale. As with other AD biomarkers, frequency of elevated plasma p-tau217 and odds of progression to dementia requires careful consideration of recruitment source (clinic- vs. community-based), especially across ethno-racially diverse older adults. Ongoing integration of emerging neurodegenerative disease biomarkers with detailed clinical evaluations will continue to improve treatment specificity and prognosis.
Collapse
Affiliation(s)
- Breton M Asken
- 1Florida Alzheimer's Disease Research Center, Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA.
| | - Rosie E Curiel Cid
- 1Florida Alzheimer's Disease Research Center, Department of Psychiatry and Behavioral Sciences, Department of Psychiatry, University of Miami, Miami, FL, USA
| | - Elizabeth A Crocco
- 1Florida Alzheimer's Disease Research Center, Department of Psychiatry and Behavioral Sciences, Department of Psychiatry, University of Miami, Miami, FL, USA
| | - Melissa J Armstrong
- 1Florida Alzheimer's Disease Research Center, Department of Neurology, University of Florida, Gainesville, FL, USA
| | - Shellie-Anne Levy
- 1Florida Alzheimer's Disease Research Center, Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA
| | - Franchesca Arias
- 1Florida Alzheimer's Disease Research Center, Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA
| | - Monica Rosselli
- 1Florida Alzheimer's Disease Research Center, Department of Psychology, Florida Atlantic University, Boca Raton, FL, USA
| | - Idaly Velez Uribe
- 1Florida Alzheimer's Disease Research Center, Wien Center for Alzheimer's Disease and Memory Disorders, Mt. Sinai Medical Center, Miami, FL, USA
| | - Warren W Barker
- 1Florida Alzheimer's Disease Research Center, Wien Center for Alzheimer's Disease and Memory Disorders, Mt. Sinai Medical Center, Miami, FL, USA
| | - Emily F Matusz
- 1Florida Alzheimer's Disease Research Center, Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA
| | - Jesse C DeSimone
- 1Florida Alzheimer's Disease Research Center, Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, USA
| | - Wei-En Wang
- 1Florida Alzheimer's Disease Research Center, Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, USA
| | - Jacob Fiala
- 1Florida Alzheimer's Disease Research Center, Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA
| | - Michael M Marsiske
- 1Florida Alzheimer's Disease Research Center, Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA
| | - Steven T DeKosky
- 1Florida Alzheimer's Disease Research Center, Department of Neurology, University of Florida, Gainesville, FL, USA
| | - David E Vaillancourt
- 1Florida Alzheimer's Disease Research Center, Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, USA
| | - Ranjan Duara
- 1Florida Alzheimer's Disease Research Center, Wien Center for Alzheimer's Disease and Memory Disorders, Mt. Sinai Medical Center, Miami, FL, USA
| | - David A Loewenstein
- 1Florida Alzheimer's Disease Research Center, Department of Psychiatry and Behavioral Sciences, Department of Psychiatry, University of Miami, Miami, FL, USA
| | - Glenn E Smith
- 1Florida Alzheimer's Disease Research Center, Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA
| |
Collapse
|
8
|
López A, López-Muñoz S, Caballero G, Castrejon N, Rojo L, Vidal-Robau N, Muñoz A, Ortiz E, Rodrigo M, García A, Cuatrecasas M, Ribalta T, Aldecoa I. Flanagan's condensed protocol for neurodegenerative diseases. Implementation in a clinical autopsy setting with partial supervision of a neuropathologist. Virchows Arch 2024; 485:1075-1084. [PMID: 38472413 DOI: 10.1007/s00428-024-03781-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 02/16/2024] [Accepted: 03/05/2024] [Indexed: 03/14/2024]
Abstract
The Condensed Protocol (CP) was originally developed for the evaluation of Alzheimer's Disease (AD) and other neurodegenerative diseases as a workable alternative to the complex and costly established autopsy guidelines. The study objective is to examine the degree of implementation of the CP in the pathology department of a third level university hospital in a period of 5 years. Clinical autopsies performed between 2016 and 2021 on patients aged 65 years or over and did not require a specific neuropathological examination were reviewed. Histological screening and staging of neurodegenerative diseases was performed using the original immunohistochemical stains. Out of 255 autopsies, 204 met the inclusion criteria and 190 could be reviewed. The CP was applied to 99 cases; histological signs of neurodegenerative disease were observed in 92. Sampling errors were detected in 59 cases. Immunohistochemical studies were performed in 68 cases. The diseases identified were: 31 cases of AD (12 low grade; 19 intermediate), 18 amyloid angiopathy, 15 primary age-related tauopathy, 6 argyrophilic grain disease, 3 progressive supranuclear palsy, 1 Lewy body disease (of 22 cases), and 2 limbic-predominant age TDP43 encephalopathy (of 5 cases). In 30 out of 83 cases, there was more severe vascular pathology in complete sections of frontal cortex and lentiform nucleus. The CP allows reliable detection and staging of AD and related neurodegenerative diseases in clinical autopsies. However, supervision by a neuropathologist seems necessary for a fully successful implementation of the CP in a clinical hospital setting.
Collapse
Affiliation(s)
- Aitana López
- Graduate Student. Medical School Casanova Campus, University of Barcelona, Barcelona, Spain
| | - Samuel López-Muñoz
- Pathology Department, Hospital Universitario Rey Juan Carlos, Móstoles, Madrid, Spain
| | - Gabriela Caballero
- Pathology Department, Biomedical Diagnostic Center, Hospital Clinic - University of Barcelona, Villarroel 170. 08036, Barcelona, Spain
| | - Natalia Castrejon
- Pathology Department, Biomedical Diagnostic Center, Hospital Clinic - University of Barcelona, Villarroel 170. 08036, Barcelona, Spain
| | - Leonardo Rojo
- Pathology Department, Biomedical Diagnostic Center, Hospital Clinic - University of Barcelona, Villarroel 170. 08036, Barcelona, Spain
| | - Nuria Vidal-Robau
- Pathology Department, Biomedical Diagnostic Center, Hospital Clinic - University of Barcelona, Villarroel 170. 08036, Barcelona, Spain
| | - Abel Muñoz
- Pathology Department, Biomedical Diagnostic Center, Hospital Clinic - University of Barcelona, Villarroel 170. 08036, Barcelona, Spain
| | - Estrella Ortiz
- Pathology Department, Biomedical Diagnostic Center, Hospital Clinic - University of Barcelona, Villarroel 170. 08036, Barcelona, Spain
| | - Maite Rodrigo
- Pathology Department, Biomedical Diagnostic Center, Hospital Clinic - University of Barcelona, Villarroel 170. 08036, Barcelona, Spain
| | - Adriana García
- Pathology Department, Biomedical Diagnostic Center, Hospital Clinic - University of Barcelona, Villarroel 170. 08036, Barcelona, Spain
| | - Miriam Cuatrecasas
- Pathology Department, Biomedical Diagnostic Center, Hospital Clinic - University of Barcelona, Villarroel 170. 08036, Barcelona, Spain
| | - Teresa Ribalta
- Pathology Department, Biomedical Diagnostic Center, Hospital Clinic - University of Barcelona, Villarroel 170. 08036, Barcelona, Spain
| | - Iban Aldecoa
- Pathology Department, Biomedical Diagnostic Center, Hospital Clinic - University of Barcelona, Villarroel 170. 08036, Barcelona, Spain.
- Neurological Tissue Bank of the Biobank-FCRB/IDIBAPS, Hospital Clinic - University of Barcelona, Barcelona, Spain.
| |
Collapse
|
9
|
Burgueño-García I, López-Martínez MJ, Uceda-Heras A, García-Carracedo L, Zea-Sevilla MA, Rodrigo-Lara H, Rego-García I, Saiz-Aúz L, Ruiz-Valderrey P, López-González FJ, Guerra-Martín V, Rábano A. Neuropathological Heterogeneity of Dementia Due to Combined Pathology in Aged Patients: Clinicopathological Findings in the Vallecas Alzheimer's Reina Sofía Cohort. J Clin Med 2024; 13:6755. [PMID: 39597898 PMCID: PMC11594757 DOI: 10.3390/jcm13226755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2024] [Revised: 11/04/2024] [Accepted: 11/07/2024] [Indexed: 11/29/2024] Open
Abstract
Background/Objectives: Clinicopathological research in late-life dementia has focused recently on combined neurodegenerative and vascular conditions underlying the high phenotypic heterogeneity of patients. The Vallecas Alzheimer's Reina Sofía (VARS) cohort (n > 550), and particularly the series of associated brain donations (VARSpath cohort) are presented here. The aim of this study is to contribute to research in dementia with a well-characterized cohort from a single center. Methods: A total of 167 patients with complete neuropathological work-ups were analyzed here. The cohort is characterized by a high female predominance (79%), advanced age at death (88 yrs.), and a high frequency of ApoE-e4 haplotype (43%). Results: The main neuropathological diagnosis was Alzheimer's disease (79.6%), followed by vascular dementia (10.2%) and Lewy body dementia (6%). Overall, intermediate-to-high cerebrovascular disease was observed in 38.9%, Lewy body pathology in 57.5%, LATE (TDP-43 pathology) in 70.7%, ARTAG in 53%, and argyrophilic grain disease in 12% of the patients. More than one pathology with a clinically relevant burden of disease was present in 71.1% of the brains, and a selection of premortem neuropsychological and functional scores showed significant correlation with the number of co-pathologies identified in postmortem brains. Conclusions: The VARS cohort, with thorough clinical follow-up, regular blood sampling, 3-Tesla MR, and a high rate of postmortem brain donation, can provide essential multidisciplinary data in the rising age of modifying therapies and biomarkers for Alzheimer's disease and related dementias.
Collapse
Affiliation(s)
- Iván Burgueño-García
- Reina Sofía Alzheimer Center, CIEN Foundation, ISCIII, 28031 Madrid, Spain; (I.B.-G.); (M.J.L.-M.); (A.U.-H.); (L.G.-C.); (M.A.Z.-S.); (I.R.-G.); (L.S.-A.); (P.R.-V.); (F.J.L.-G.)
| | - María José López-Martínez
- Reina Sofía Alzheimer Center, CIEN Foundation, ISCIII, 28031 Madrid, Spain; (I.B.-G.); (M.J.L.-M.); (A.U.-H.); (L.G.-C.); (M.A.Z.-S.); (I.R.-G.); (L.S.-A.); (P.R.-V.); (F.J.L.-G.)
| | - Alicia Uceda-Heras
- Reina Sofía Alzheimer Center, CIEN Foundation, ISCIII, 28031 Madrid, Spain; (I.B.-G.); (M.J.L.-M.); (A.U.-H.); (L.G.-C.); (M.A.Z.-S.); (I.R.-G.); (L.S.-A.); (P.R.-V.); (F.J.L.-G.)
| | - Lucía García-Carracedo
- Reina Sofía Alzheimer Center, CIEN Foundation, ISCIII, 28031 Madrid, Spain; (I.B.-G.); (M.J.L.-M.); (A.U.-H.); (L.G.-C.); (M.A.Z.-S.); (I.R.-G.); (L.S.-A.); (P.R.-V.); (F.J.L.-G.)
| | - María Ascensión Zea-Sevilla
- Reina Sofía Alzheimer Center, CIEN Foundation, ISCIII, 28031 Madrid, Spain; (I.B.-G.); (M.J.L.-M.); (A.U.-H.); (L.G.-C.); (M.A.Z.-S.); (I.R.-G.); (L.S.-A.); (P.R.-V.); (F.J.L.-G.)
| | | | - Iago Rego-García
- Reina Sofía Alzheimer Center, CIEN Foundation, ISCIII, 28031 Madrid, Spain; (I.B.-G.); (M.J.L.-M.); (A.U.-H.); (L.G.-C.); (M.A.Z.-S.); (I.R.-G.); (L.S.-A.); (P.R.-V.); (F.J.L.-G.)
| | - Laura Saiz-Aúz
- Reina Sofía Alzheimer Center, CIEN Foundation, ISCIII, 28031 Madrid, Spain; (I.B.-G.); (M.J.L.-M.); (A.U.-H.); (L.G.-C.); (M.A.Z.-S.); (I.R.-G.); (L.S.-A.); (P.R.-V.); (F.J.L.-G.)
| | - Paloma Ruiz-Valderrey
- Reina Sofía Alzheimer Center, CIEN Foundation, ISCIII, 28031 Madrid, Spain; (I.B.-G.); (M.J.L.-M.); (A.U.-H.); (L.G.-C.); (M.A.Z.-S.); (I.R.-G.); (L.S.-A.); (P.R.-V.); (F.J.L.-G.)
| | - Francisco J. López-González
- Reina Sofía Alzheimer Center, CIEN Foundation, ISCIII, 28031 Madrid, Spain; (I.B.-G.); (M.J.L.-M.); (A.U.-H.); (L.G.-C.); (M.A.Z.-S.); (I.R.-G.); (L.S.-A.); (P.R.-V.); (F.J.L.-G.)
| | | | - Alberto Rábano
- Reina Sofía Alzheimer Center, CIEN Foundation, ISCIII, 28031 Madrid, Spain; (I.B.-G.); (M.J.L.-M.); (A.U.-H.); (L.G.-C.); (M.A.Z.-S.); (I.R.-G.); (L.S.-A.); (P.R.-V.); (F.J.L.-G.)
| |
Collapse
|
10
|
Agrawal S, Yu L, Leurgans SE, Kapasi A, Barnes LL, Bennett DA, Boyle PA, Schneider JA. Grey matter ageing-related tau astrogliopathy: associations with brain pathologies and cognitive decline. Brain 2024; 147:3501-3512. [PMID: 39045644 PMCID: PMC11449137 DOI: 10.1093/brain/awae250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Revised: 05/29/2024] [Accepted: 06/30/2024] [Indexed: 07/25/2024] Open
Abstract
Grey matter ageing-related tau astrogliopathy (ARTAG) pathology is common in aged brains and detected in multiple brain regions. However, the associations of grey matter ARTAG with Alzheimer's disease and other common age-related proteinopathies, in addition to clinical phenotypes, including Alzheimer's dementia and cognitive decline, remain unclear. We examined 442 decedents (mean age at death = 90 years, males = 32%) from three longitudinal community-based clinical-pathological studies. Using AT8 immunohistochemistry, grey matter ARTAG pathology was counted in the superior frontal region, anterior temporal tip and amygdala and summarized as a severity score ranging from zero (none) to six (severe). Alzheimer's disease and other common age-related neuropathologies were also evaluated. The diagnosis of Alzheimer's dementia was based on clinical evaluations; annual tests of cognitive performance were summarized as global cognition and five cognitive domains. Multivariable logistic regression tested the associations of grey matter ARTAG pathology with an array of age-related neuropathologies. To evaluate associations of grey matter ARTAG pathology with Alzheimer's dementia and cognitive decline, we used logistic regression and linear mixed-effect models. Grey matter ARTAG pathology was seen in 324 (73%) participants, of which 303 (68%) participants had ARTAG in the amygdala, 246 (56%) in the anterior temporal tip and 137 (31%) in the superior frontal region. Grey matter ARTAG pathology from each of the three regions was associated with a pathological diagnosis of Alzheimer's disease and limbic-predominant age-related TAR DNA-binding protein 43 encephalopathy-neuropathological change but not with vascular pathology. In fully adjusted models that controlled for demographics, Alzheimer's disease and common age-related pathologies, an increase in severity of grey matter ARTAG pathology in the superior frontal cortex, but not in the amygdala or the anterior temporal tip, was associated with higher odds of Alzheimer's dementia and faster decline in global cognition, episodic memory and semantic memory. These results provide compelling evidence that grey matter ARTAG, specifically in the superior frontal cortex, contributes to Alzheimer's dementia and cognitive decline in old age.
Collapse
Affiliation(s)
- Sonal Agrawal
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL 60612, USA
- Department of Pathology, Rush University Medical Center, Chicago, IL 60612, USA
| | - Lei Yu
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL 60612, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL 60612, USA
| | - Sue E Leurgans
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL 60612, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL 60612, USA
| | - Alifiya Kapasi
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL 60612, USA
- Department of Pathology, Rush University Medical Center, Chicago, IL 60612, USA
| | - Lisa L Barnes
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL 60612, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL 60612, USA
- Department of Behavioral Sciences, Rush University Medical Center, Chicago, IL 60612, USA
| | - David A Bennett
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL 60612, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL 60612, USA
| | - Patricia A Boyle
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL 60612, USA
- Department of Behavioral Sciences, Rush University Medical Center, Chicago, IL 60612, USA
| | - Julie A Schneider
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL 60612, USA
- Department of Pathology, Rush University Medical Center, Chicago, IL 60612, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL 60612, USA
| |
Collapse
|
11
|
Denning AE, Ittyerah R, Levorse LM, Sadeghpour N, Athalye C, Chung E, Ravikumar S, Dong M, Duong MT, Li Y, Ilesanmi A, Sreepada LP, Sabatini P, Lowe M, Bahena A, Zablah J, Spencer BE, Watanabe R, Kim B, Sørensen MH, Khandelwal P, Brown C, Hrybouski S, Xie SX, de Flores R, Robinson JL, Schuck T, Ohm DT, Arezoumandan S, Porta S, Detre JA, Insausti R, Wisse LEM, Das SR, Irwin DJ, Lee EB, Wolk DA, Yushkevich PA. Association of quantitative histopathology measurements with antemortem medial temporal lobe cortical thickness in the Alzheimer's disease continuum. Acta Neuropathol 2024; 148:37. [PMID: 39227502 PMCID: PMC11371872 DOI: 10.1007/s00401-024-02789-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2024] [Revised: 08/07/2024] [Accepted: 08/15/2024] [Indexed: 09/05/2024]
Abstract
The medial temporal lobe (MTL) is a hotspot for neuropathology, and measurements of MTL atrophy are often used as a biomarker for cognitive decline associated with neurodegenerative disease. Due to the aggregation of multiple proteinopathies in this region, the specific relationship of MTL atrophy to distinct neuropathologies is not well understood. Here, we develop two quantitative algorithms using deep learning to measure phosphorylated tau (p-tau) and TDP-43 (pTDP-43) pathology, which are both known to accumulate in the MTL and are associated with MTL neurodegeneration. We focus on these pathologies in the context of Alzheimer's disease (AD) and limbic predominant age-related TDP-43 encephalopathy (LATE) and apply our deep learning algorithms to distinct histology sections, on which MTL subregions were digitally annotated. We demonstrate that both quantitative pathology measures show high agreement with expert visual ratings of pathology and discriminate well between pathology stages. In 140 cases with antemortem MR imaging, we compare the association of semi-quantitative and quantitative postmortem measures of these pathologies in the hippocampus with in vivo structural measures of the MTL and its subregions. We find widespread associations of p-tau pathology with MTL subregional structural measures, whereas pTDP-43 pathology had more limited associations with the hippocampus and entorhinal cortex. Quantitative measurements of p-tau pathology resulted in a significantly better model of antemortem structural measures than semi-quantitative ratings and showed strong associations with cortical thickness and volume. By providing a more granular measure of pathology, the quantitative p-tau measures also showed a significant negative association with structure in a severe AD subgroup where semi-quantitative ratings displayed a ceiling effect. Our findings demonstrate the advantages of using quantitative neuropathology to understand the relationship of pathology to structure, particularly for p-tau, and motivate the use of quantitative pathology measurements in future studies.
Collapse
Affiliation(s)
- Amanda E Denning
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA.
| | - Ranjit Ittyerah
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Lisa M Levorse
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Chinmayee Athalye
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
| | - Eunice Chung
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Sadhana Ravikumar
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Mengjin Dong
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Michael Tran Duong
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
| | - Yue Li
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Ademola Ilesanmi
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Lasya P Sreepada
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Philip Sabatini
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - MaKayla Lowe
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Alejandra Bahena
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Jamila Zablah
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Barbara E Spencer
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Ryohei Watanabe
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Neurodegenerative Disease Research, Institute On Aging, University of Pennsylvania, Philadelphia, PA, USA
| | - Boram Kim
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Neurodegenerative Disease Research, Institute On Aging, University of Pennsylvania, Philadelphia, PA, USA
| | - Maja Højvang Sørensen
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Neurodegenerative Disease Research, Institute On Aging, University of Pennsylvania, Philadelphia, PA, USA
| | - Pulkit Khandelwal
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
| | - Christopher Brown
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Sharon X Xie
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, USA
| | - Robin de Flores
- UMR-S U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen-Normandie, INSERM, Caen-Normandie University, GIP Cyceron, Caen, France
| | - John L Robinson
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Neurodegenerative Disease Research, Institute On Aging, University of Pennsylvania, Philadelphia, PA, USA
| | - Theresa Schuck
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Neurodegenerative Disease Research, Institute On Aging, University of Pennsylvania, Philadelphia, PA, USA
| | - Daniel T Ohm
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Sanaz Arezoumandan
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Sílvia Porta
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Neurodegenerative Disease Research, Institute On Aging, University of Pennsylvania, Philadelphia, PA, USA
| | - John A Detre
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Ricardo Insausti
- Human Neuroanatomy Lab, University of Castilla La Mancha, Albacete, Spain
| | - Laura E M Wisse
- Department of Clinical Sciences Lund, Lund University, Lund, Sweden
| | - Sandhitsu R Das
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - David J Irwin
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Edward B Lee
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Neurodegenerative Disease Research, Institute On Aging, University of Pennsylvania, Philadelphia, PA, USA
| | - David A Wolk
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Paul A Yushkevich
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| |
Collapse
|
12
|
Thanapornsangsuth P, Booncharoen K, Khieukhajee J, Luechaipanit W, Haethaisong T, Chongsuksantikul A, Supharatpariyakorn T, Chunharas C, Likitjaroen Y, Hemachudha T. The Bayesian approach for real-world implementation of plasma p-tau217 in tertiary care memory clinics in Thailand. Alzheimers Dement 2024; 20:6456-6467. [PMID: 39016441 PMCID: PMC11497765 DOI: 10.1002/alz.14138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Revised: 06/17/2024] [Accepted: 06/25/2024] [Indexed: 08/06/2024]
Abstract
INTRODUCTION Plasma phosphorylated tau (p-tau)217 is a promising biomarker for Alzheimer's disease (AD) diagnosis, but its clinical implementation remains challenging. We propose a strategy based on Bayes' theorem and test it in real-life memory clinics. METHODS Memory clinic patients were evaluated by neurocognitive specialists for prespecified diagnosis and subsequently underwent blood collection for p-tau217, cerebrospinal fluid, or amyloid positron emission tomography. Using cross-validation, the Bayesian approach (pretest probability × individualized likelihood ratio) was compared to other models for AD diagnosis. RESULTS The Bayesian strategy demonstrated an area under the receiver operating characteristic curve (AUC) of 0.98 (95% confidence interval [CI]: 0.96-1.0), significantly outperforming multivariable logistic regression (p-tau217, age, apolipoprotein E; AUC 0.95, p = 0.024) and p-tau217 alone (AUC = 0.94, p = 0.007). When applying the two-threshold approach, the Bayesian strategy yielded an accuracy of 0.94 (95% CI: 0.88-1.0) without requiring confirmatory tests in 62.9% of the iterations. DISCUSSION The Bayesian strategy offers an effective and flexible approach to address the limitations of plasma p-tau217 in clinical practice. HIGHLIGHTS Incorporating pretest probability into the interpretation of plasma phosphorylated tau (p-tau)217 improves the diagnostic performance significantly. The strategy could obviate the need for confirmatory testing in most of the patients. Plasma p-tau217 proves useful as a biomarker for Alzheimer's disease in low- and middle-income country such as Thailand.
Collapse
Affiliation(s)
- Poosanu Thanapornsangsuth
- Thai Red Cross Emerging Infectious Diseases Health Science Centre, World Health Organization Collaborating Centre for Research and Training on Viral ZoonosesKing Chulalongkorn Memorial Hospital The Thai Red Cross SocietyBangkokThailand
- Division of NeurologyDepartment of MedicineFaculty of MedicineChulalongkorn UniversityBangkokThailand
- Memory ClinicKing Chulalongkorn Memorial Hospital, The Thai Red Cross SocietyBangkokThailand
- Chula Neuroscience CenterKing Chulalongkorn Memorial HospitalThai Red Cross SocietyBangkokThailand
| | - Kittithatch Booncharoen
- Memory ClinicKing Chulalongkorn Memorial Hospital, The Thai Red Cross SocietyBangkokThailand
- Neurocognitive Unit, Division of Neurology, Department of Medicine, Faculty of MedicineChulalongkorn UniversityBangkokThailand
- Neurology CenterPhyathai 1 HospitalBangkokThailand
| | | | - Watayuth Luechaipanit
- Thai Red Cross Emerging Infectious Diseases Health Science Centre, World Health Organization Collaborating Centre for Research and Training on Viral ZoonosesKing Chulalongkorn Memorial Hospital The Thai Red Cross SocietyBangkokThailand
| | - Thanaporn Haethaisong
- Thai Red Cross Emerging Infectious Diseases Health Science Centre, World Health Organization Collaborating Centre for Research and Training on Viral ZoonosesKing Chulalongkorn Memorial Hospital The Thai Red Cross SocietyBangkokThailand
| | - Adipa Chongsuksantikul
- Thai Red Cross Emerging Infectious Diseases Health Science Centre, World Health Organization Collaborating Centre for Research and Training on Viral ZoonosesKing Chulalongkorn Memorial Hospital The Thai Red Cross SocietyBangkokThailand
| | - Thirawat Supharatpariyakorn
- Thai Red Cross Emerging Infectious Diseases Health Science Centre, World Health Organization Collaborating Centre for Research and Training on Viral ZoonosesKing Chulalongkorn Memorial Hospital The Thai Red Cross SocietyBangkokThailand
| | - Chaipat Chunharas
- Division of NeurologyDepartment of MedicineFaculty of MedicineChulalongkorn UniversityBangkokThailand
- Memory ClinicKing Chulalongkorn Memorial Hospital, The Thai Red Cross SocietyBangkokThailand
- Chula Neuroscience CenterKing Chulalongkorn Memorial HospitalThai Red Cross SocietyBangkokThailand
- Cognitive Clinical and Computational NeuroscienceDepartment of Internal MedicineFaculty of MedicineChulalongkorn UniversityBangkokThailand
| | - Yuttachai Likitjaroen
- Division of NeurologyDepartment of MedicineFaculty of MedicineChulalongkorn UniversityBangkokThailand
- Memory ClinicKing Chulalongkorn Memorial Hospital, The Thai Red Cross SocietyBangkokThailand
- Neurocognitive Unit, Division of Neurology, Department of Medicine, Faculty of MedicineChulalongkorn UniversityBangkokThailand
| | - Thiravat Hemachudha
- Division of NeurologyDepartment of MedicineFaculty of MedicineChulalongkorn UniversityBangkokThailand
| |
Collapse
|
13
|
Tosun D, Hausle Z, Iwaki H, Thropp P, Lamoureux J, Lee EB, MacLeod K, McEvoy S, Nalls M, Perrin RJ, Saykin AJ, Shaw LM, Singleton AB, Lebovitz R, Weiner MW, Blauwendraat C. A cross-sectional study of α-synuclein seed amplification assay in Alzheimer's disease neuroimaging initiative: Prevalence and associations with Alzheimer's disease biomarkers and cognitive function. Alzheimers Dement 2024; 20:5114-5131. [PMID: 38770829 PMCID: PMC11350010 DOI: 10.1002/alz.13858] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Revised: 03/22/2024] [Accepted: 03/25/2024] [Indexed: 05/22/2024]
Abstract
INTRODUCTION Alzheimer's disease (AD) pathology is defined by β-amyloid (Aβ) plaques and neurofibrillary tau, but Lewy bodies (LBs; 𝛼-synuclein aggregates) are a common co-pathology for which effective biomarkers are needed. METHODS A validated α-synuclein Seed Amplification Assay (SAA) was used on recent cerebrospinal fluid (CSF) samples from 1638 Alzheimer's Disease Neuroimaging Initiative (ADNI) participants, 78 with LB-pathology confirmation at autopsy. We compared SAA outcomes with neuropathology, Aβ and tau biomarkers, risk-factors, genetics, and cognitive trajectories. RESULTS SAA showed 79% sensitivity and 97% specificity for LB pathology, with superior performance in identifying neocortical (100%) compared to limbic (57%) and amygdala-predominant (60%) LB-pathology. SAA+ rate was 22%, increasing with disease stage and age. Higher Aβ burden but lower CSF p-tau181 associated with higher SAA+ rates, especially in dementia. SAA+ affected cognitive impairment in MCI and Early-AD who were already AD biomarker positive. DISCUSSION SAA is a sensitive, specific marker for LB-pathology. Its increase in prevalence with age and AD stages, and its association with AD biomarkers, highlights the clinical importance of α-synuclein co-pathology in understanding AD's nature and progression. HIGHLIGHTS SAA shows 79% sensitivity, 97% specificity for LB-pathology detection in AD. SAA positivity prevalence increases with disease stage and age. Higher Aβ burden, lower CSF p-tau181 linked with higher SAA+ rates in dementia. SAA+ impacts cognitive impairment in early disease stages. Study underpins need for wider LB-pathology screening in AD treatment.
Collapse
Affiliation(s)
- Duygu Tosun
- Department of Radiology and Biomedical ImagingUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Department of Veterans Affairs Medical CenterNorthern California Institute for Research and Education (NCIRE)San FranciscoCaliforniaUSA
| | - Zachary Hausle
- Department of Veterans Affairs Medical CenterNorthern California Institute for Research and Education (NCIRE)San FranciscoCaliforniaUSA
| | - Hirotaka Iwaki
- Center for Alzheimer's and Related DementiasNational Institute on Aging and National Institute of Neurological Disorders and StrokeNational Institutes of HealthBethesdaMarylandUSA
- DataTecnica LLCWashingtonDistrict of ColumbiaUSA
| | - Pamela Thropp
- Department of Veterans Affairs Medical CenterNorthern California Institute for Research and Education (NCIRE)San FranciscoCaliforniaUSA
| | | | - Edward B. Lee
- Department of Pathology and Laboratory MedicinePerelman School of Medicine University of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | | | | | - Michael Nalls
- Center for Alzheimer's and Related DementiasNational Institute on Aging and National Institute of Neurological Disorders and StrokeNational Institutes of HealthBethesdaMarylandUSA
- DataTecnica LLCWashingtonDistrict of ColumbiaUSA
- Laboratory of NeurogeneticsNational Institute on AgingNational Institutes of HealthBethesdaMarylandUSA
| | - Richard J. Perrin
- Department of Pathology & ImmunologyWashington University in St. LouisSt. LouisMissouriUSA
- Department of NeurologyWashington University in St. LouisSt. LouisMissouriUSA
| | - Andrew J. Saykin
- Center for NeuroimagingDepartment of Radiology and Imaging SciencesIndiana University School of MedicineIndianapolisIndianaUSA
- Indiana Alzheimer's Disease CenterIndiana University School of MedicineIndianapolisIndianaUSA
- Department of Medical and Molecular GeneticsIndiana University School of MedicineIndianapolisIndianaUSA
| | - Leslie M. Shaw
- Department of Pathology and Laboratory MedicinePerelman School of Medicine University of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Andrew B. Singleton
- Center for Alzheimer's and Related DementiasNational Institute on Aging and National Institute of Neurological Disorders and StrokeNational Institutes of HealthBethesdaMarylandUSA
- Laboratory of NeurogeneticsNational Institute on AgingNational Institutes of HealthBethesdaMarylandUSA
| | | | - Michael W. Weiner
- Department of Radiology and Biomedical ImagingUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Department of Veterans Affairs Medical CenterNorthern California Institute for Research and Education (NCIRE)San FranciscoCaliforniaUSA
| | - Cornelis Blauwendraat
- Center for Alzheimer's and Related DementiasNational Institute on Aging and National Institute of Neurological Disorders and StrokeNational Institutes of HealthBethesdaMarylandUSA
- Laboratory of NeurogeneticsNational Institute on AgingNational Institutes of HealthBethesdaMarylandUSA
| | | |
Collapse
|
14
|
Yoshida K, Hata Y, Ichimata S, Tanaka R, Nishida N. Prevalence and clinicopathological features of primary age-related tauopathy (PART): A large forensic autopsy study. Alzheimers Dement 2024; 20:5411-5420. [PMID: 38938196 PMCID: PMC11350034 DOI: 10.1002/alz.14037] [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: 12/19/2023] [Revised: 04/15/2024] [Accepted: 05/06/2024] [Indexed: 06/29/2024]
Abstract
INTRODUCTION Primary age-related tauopathy (PART), often regarded as a minimally symptomatic pathology of old age, lacks comprehensive cohorts across various age groups. METHODS We examined PART prevalence and clinicopathologic features in 1589 forensic autopsy cases (≥40 years old, mean age ± SD 70.2 ± 14.2 years). RESULTS PART cases meeting criteria for argyrophilic grain diseases (AGD) were AGD+PART (n = 181). The remaining PART cases (n = 719, 45.2%) were classified as comorbid conditions (PART-C, n = 90) or no comorbid conditions (pure PART, n = 629). Compared to controls (n = 208), Alzheimer's disease (n = 133), and AGD+PART, PART prevalence peaked in the individuals in their 60s (65.5%) and declined in the 80s (21.5%). No significant clinical background differences were found (excluding controls). However, PART-C in patients inclusive of age 80 had a higher suicide rate than pure PART (p < 0.05), and AGD+PART showed more dementia (p < 0.01) and suicide (p < 0.05) than pure PART. DISCUSSION Our results advocate a reevaluation of the PART concept and its diagnostic criteria. HIGHLIGHTS We investigated 1589 forensic autopsy cases to investigate the features of primary age-related tauopathy (PART). PART peaked in people in their 60s in our study. Many PART cases over 80s had comorbid pathologies in addition to neurofibrillary tangles pathology. Argyrophilic grain disease and Lewy pathology significantly affected dementia and suicide rates in PART. Our results suggest that the diagnostic criteria of PART need to be reconsidered.
Collapse
Affiliation(s)
- Koji Yoshida
- Department of Legal MedicineFaculty of MedicineUniversity of ToyamaToyamaJapan
- Tanz Centre for Research in Neurodegenerative DiseaseKrembil Discovery TowerUniversity of TorontoTorontoOntarioCanada
- Department of Laboratory Medicine and Pathobiology and Department of MedicineUniversity of TorontoTorontoOntarioCanada
| | - Yukiko Hata
- Department of Legal MedicineFaculty of MedicineUniversity of ToyamaToyamaJapan
| | - Shojiro Ichimata
- Department of Legal MedicineFaculty of MedicineUniversity of ToyamaToyamaJapan
| | - Ryo Tanaka
- Department of NeurologyToyama University HospitalToyamaJapan
| | - Naoki Nishida
- Department of Legal MedicineFaculty of MedicineUniversity of ToyamaToyamaJapan
| |
Collapse
|
15
|
Boyle R, Townsend DL, Klinger HM, Scanlon CE, Yuan Z, Coughlan GT, Seto M, Shirzadi Z, Yau WYW, Jutten RJ, Schneider C, Farrell ME, Hanseeuw BJ, Mormino EC, Yang HS, Papp KV, Amariglio RE, Jacobs HIL, Price JC, Chhatwal JP, Schultz AP, Properzi MJ, Rentz DM, Johnson KA, Sperling RA, Hohman TJ, Donohue MC, Buckley RF. Identifying longitudinal cognitive resilience from cross-sectional amyloid, tau, and neurodegeneration. Alzheimers Res Ther 2024; 16:148. [PMID: 38961512 PMCID: PMC11220971 DOI: 10.1186/s13195-024-01510-y] [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: 04/09/2024] [Accepted: 06/20/2024] [Indexed: 07/05/2024]
Abstract
BACKGROUND Leveraging Alzheimer's disease (AD) imaging biomarkers and longitudinal cognitive data may allow us to establish evidence of cognitive resilience (CR) to AD pathology in-vivo. Here, we applied latent class mixture modeling, adjusting for sex, baseline age, and neuroimaging biomarkers of amyloid, tau and neurodegeneration, to a sample of cognitively unimpaired older adults to identify longitudinal trajectories of CR. METHODS We identified 200 Harvard Aging Brain Study (HABS) participants (mean age = 71.89 years, SD = 9.41 years, 59% women) who were cognitively unimpaired at baseline with 2 or more timepoints of cognitive assessment following a single amyloid-PET, tau-PET and structural MRI. We examined latent class mixture models with longitudinal cognition as the dependent variable and time from baseline, baseline age, sex, neocortical Aβ, entorhinal tau, and adjusted hippocampal volume as independent variables. We then examined group differences in CR-related factors across the identified subgroups from a favored model. Finally, we applied our favored model to a dataset from the Alzheimer's Disease Neuroimaging Initiative (ADNI; n = 160, mean age = 73.9 years, SD = 7.6 years, 60% women). RESULTS The favored model identified 3 latent subgroups, which we labelled as Normal (71% of HABS sample), Resilient (22.5%) and Declining (6.5%) subgroups. The Resilient subgroup exhibited higher baseline cognitive performance and a stable cognitive slope. They were differentiated from other groups by higher levels of verbal intelligence and past cognitive activity. In ADNI, this model identified a larger Normal subgroup (88.1%), a smaller Resilient subgroup (6.3%) and a Declining group (5.6%) with a lower cognitive baseline. CONCLUSION These findings demonstrate the value of data-driven approaches to identify longitudinal CR groups in preclinical AD. With such an approach, we identified a CR subgroup who reflected expected characteristics based on previous literature, higher levels of verbal intelligence and past cognitive activity.
Collapse
Affiliation(s)
- Rory Boyle
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Diana L Townsend
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Hannah M Klinger
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Catherine E Scanlon
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Ziwen Yuan
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Gillian T Coughlan
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Mabel Seto
- Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Zahra Shirzadi
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Wai-Ying Wendy Yau
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Roos J Jutten
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Christoph Schneider
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Michelle E Farrell
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Bernard J Hanseeuw
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Neurology, Institute of Neuroscience, Cliniques Universitaires SaintLuc, Université Catholique de Louvain, Brussels, Belgium
| | - Elizabeth C Mormino
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
- Wu Tsai Neuroscience Institute, Stanford, CA, USA
| | - Hyun-Sik Yang
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Kathryn V Papp
- Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Rebecca E Amariglio
- Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Heidi I L Jacobs
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Faculty of Health, Medicine and Life Sciences, School for Mental Health and Neuroscience, Alzheimer Centre Limburg, Maastricht University, Maastricht, The Netherlands
| | - Julie C Price
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Jasmeer P Chhatwal
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Aaron P Schultz
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Michael J Properzi
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Dorene M Rentz
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Keith A Johnson
- Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Reisa A Sperling
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Timothy J Hohman
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Michael C Donohue
- Alzheimer's Therapeutic Research Institute, University of Southern California, San Diego, CA, USA
| | - Rachel F Buckley
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
- Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
- Melbourne School of Psychological Sciences, University of Melbourne, Melbourne, VIC, Australia.
| |
Collapse
|
16
|
Nelson PT, Fardo DW, Wu X, Aung KZ, Cykowski MD, Katsumata Y. Limbic-predominant age-related TDP-43 encephalopathy (LATE-NC): Co-pathologies and genetic risk factors provide clues about pathogenesis. J Neuropathol Exp Neurol 2024; 83:396-415. [PMID: 38613823 PMCID: PMC11110076 DOI: 10.1093/jnen/nlae032] [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] [Indexed: 04/15/2024] Open
Abstract
Limbic-predominant age-related TDP-43 encephalopathy neuropathologic change (LATE-NC) is detectable at autopsy in more than one-third of people beyond age 85 years and is robustly associated with dementia independent of other pathologies. Although LATE-NC has a large impact on public health, there remain uncertainties about the underlying biologic mechanisms. Here, we review the literature from human studies that may shed light on pathogenetic mechanisms. It is increasingly clear that certain combinations of pathologic changes tend to coexist in aging brains. Although "pure" LATE-NC is not rare, LATE-NC often coexists in the same brains with Alzheimer disease neuropathologic change, brain arteriolosclerosis, hippocampal sclerosis of aging, and/or age-related tau astrogliopathy (ARTAG). The patterns of pathologic comorbidities provide circumstantial evidence of mechanistic interactions ("synergies") between the pathologies, and also suggest common upstream influences. As to primary mediators of vulnerability to neuropathologic changes, genetics may play key roles. Genes associated with LATE-NC include TMEM106B, GRN, APOE, SORL1, ABCC9, and others. Although the anatomic distribution of TDP-43 pathology defines the condition, important cofactors for LATE-NC may include Tau pathology, endolysosomal pathways, and blood-brain barrier dysfunction. A review of the human phenomenology offers insights into disease-driving mechanisms, and may provide clues for diagnostic and therapeutic targets.
Collapse
Affiliation(s)
- Peter T Nelson
- Department of Pathology and Laboratory Medicine, University of Kentucky, Lexington, Kentucky, USA
- Department of Sanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky, USA
| | - David W Fardo
- Department of Sanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky, USA
- Department of Biostatistics, University of Kentucky, Lexington, Kentucky, USA
| | - Xian Wu
- Department of Sanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky, USA
- Department of Biostatistics, University of Kentucky, Lexington, Kentucky, USA
| | - Khine Zin Aung
- Department of Sanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky, USA
- Department of Biostatistics, University of Kentucky, Lexington, Kentucky, USA
| | - Matthew D Cykowski
- Department of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, Texas, USA
| | - Yuriko Katsumata
- Department of Sanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky, USA
- Department of Biostatistics, University of Kentucky, Lexington, Kentucky, USA
| |
Collapse
|
17
|
de Vries LE, Jongejan A, Monteiro Fortes J, Balesar R, Rozemuller AJM, Moerland PD, Huitinga I, Swaab DF, Verhaagen J. Gene-expression profiling of individuals resilient to Alzheimer's disease reveals higher expression of genes related to metallothionein and mitochondrial processes and no changes in the unfolded protein response. Acta Neuropathol Commun 2024; 12:68. [PMID: 38664739 PMCID: PMC11046840 DOI: 10.1186/s40478-024-01760-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Accepted: 03/10/2024] [Indexed: 04/28/2024] Open
Abstract
Some individuals show a discrepancy between cognition and the amount of neuropathological changes characteristic for Alzheimer's disease (AD). This phenomenon has been referred to as 'resilience'. The molecular and cellular underpinnings of resilience remain poorly understood. To obtain an unbiased understanding of the molecular changes underlying resilience, we investigated global changes in gene expression in the superior frontal gyrus of a cohort of cognitively and pathologically well-defined AD patients, resilient individuals and age-matched controls (n = 11-12 per group). 897 genes were significantly altered between AD and control, 1121 between resilient and control and 6 between resilient and AD. Gene set enrichment analysis (GSEA) revealed that the expression of metallothionein (MT) and of genes related to mitochondrial processes was higher in the resilient donors. Weighted gene co-expression network analysis (WGCNA) identified gene modules related to the unfolded protein response, mitochondrial processes and synaptic signaling to be differentially associated with resilience or dementia. As changes in MT, mitochondria, heat shock proteins and the unfolded protein response (UPR) were the most pronounced changes in the GSEA and/or WGCNA, immunohistochemistry was used to further validate these processes. MT was significantly increased in astrocytes in resilient individuals. A higher proportion of the mitochondrial gene MT-CO1 was detected outside the cell body versus inside the cell body in the resilient compared to the control group and there were higher levels of heat shock protein 70 (HSP70) and X-box-binding protein 1 spliced (XBP1s), two proteins related to heat shock proteins and the UPR, in the AD donors. Finally, we show evidence for putative sex-specific alterations in resilience, including gene expression differences related to autophagy in females compared to males. Taken together, these results show possible mechanisms involving MTs, mitochondrial processes and the UPR by which individuals might maintain cognition despite the presence of AD pathology.
Collapse
Affiliation(s)
- Luuk E de Vries
- Department of Neuroregeneration, Netherlands Institute for Neuroscience, Royal Netherlands Academy of Arts and Sciences, Meibergdreef 47, 1105 BA, Amsterdam, The Netherlands.
| | - Aldo Jongejan
- Amsterdam UMC Location University of Amsterdam, Epidemiology and Data Science, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
- Amsterdam Public Health, Methodology, Amsterdam, The Netherlands
- Amsterdam Infection and Immunity, Inflammatory Diseases, Amsterdam, The Netherlands
| | - Jennifer Monteiro Fortes
- Department of Neuropsychiatric Disorders, Netherlands Institute for Neuroscience, Institute of the Royal Netherlands Academy of Arts and Sciences, Meibergdreef 47, 1105 BA, Amsterdam, The Netherlands
| | - Rawien Balesar
- Department of Neuropsychiatric Disorders, Netherlands Institute for Neuroscience, Institute of the Royal Netherlands Academy of Arts and Sciences, Meibergdreef 47, 1105 BA, Amsterdam, The Netherlands
| | - Annemieke J M Rozemuller
- Department of Pathology, Amsterdam Neuroscience, Amsterdam UMC - Location VUmc, Amsterdam, The Netherlands
| | - Perry D Moerland
- Amsterdam UMC Location University of Amsterdam, Epidemiology and Data Science, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
- Amsterdam Public Health, Methodology, Amsterdam, The Netherlands
- Amsterdam Infection and Immunity, Inflammatory Diseases, Amsterdam, The Netherlands
| | - Inge Huitinga
- Department of Neuroimmunology, Netherlands Institute for Neuroscience, Institute of the Royal Netherlands Academy of Arts and Sciences, Meibergdreef 47, 1105 BA, Amsterdam, The Netherlands
- Center for Neuroscience, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, The Netherlands
| | - Dick F Swaab
- Department of Neuropsychiatric Disorders, Netherlands Institute for Neuroscience, Institute of the Royal Netherlands Academy of Arts and Sciences, Meibergdreef 47, 1105 BA, Amsterdam, The Netherlands
| | - Joost Verhaagen
- Department of Neuroregeneration, Netherlands Institute for Neuroscience, Royal Netherlands Academy of Arts and Sciences, Meibergdreef 47, 1105 BA, Amsterdam, The Netherlands.
- Center for Neurogenomics and Cognitive Research, Neuroscience Campus Amsterdam, VU University, Boelelaan 1085, 1081 HV, Amsterdam, The Netherlands.
| |
Collapse
|
18
|
de Vries LE, Huitinga I, Kessels HW, Swaab DF, Verhaagen J. The concept of resilience to Alzheimer's Disease: current definitions and cellular and molecular mechanisms. Mol Neurodegener 2024; 19:33. [PMID: 38589893 PMCID: PMC11003087 DOI: 10.1186/s13024-024-00719-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 03/20/2024] [Indexed: 04/10/2024] Open
Abstract
Some individuals are able to maintain their cognitive abilities despite the presence of significant Alzheimer's Disease (AD) neuropathological changes. This discrepancy between cognition and pathology has been labeled as resilience and has evolved into a widely debated concept. External factors such as cognitive stimulation are associated with resilience to AD, but the exact cellular and molecular underpinnings are not completely understood. In this review, we discuss the current definitions used in the field, highlight the translational approaches used to investigate resilience to AD and summarize the underlying cellular and molecular substrates of resilience that have been derived from human and animal studies, which have received more and more attention in the last few years. From these studies the picture emerges that resilient individuals are different from AD patients in terms of specific pathological species and their cellular reaction to AD pathology, which possibly helps to maintain cognition up to a certain tipping point. Studying these rare resilient individuals can be of great importance as it could pave the way to novel therapeutic avenues for AD.
Collapse
Affiliation(s)
- Luuk E de Vries
- Department of Neuroregeneration, Netherlands Institute for Neuroscience, Institute of the Royal Netherlands Academy of Arts and Sciences, 1105 BA, Amsterdam, The Netherlands.
| | - Inge Huitinga
- Department of Neuroimmunology, Netherlands Institute for Neuroscience, Institute of the Royal Netherlands Academy of Arts and Sciences, 1105 BA, Amsterdam, The Netherlands
| | - Helmut W Kessels
- Swammerdam Institute for Life Sciences, Amsterdam Neuroscience, University of Amsterdam, 1098 XH, Amsterdam, the Netherlands
| | - Dick F Swaab
- Department of Neuropsychiatric Disorders, Netherlands Institute for Neuroscience, an Institute of the Royal Netherlands Academy of Arts and Sciences, 1105 BA, Amsterdam, Netherlands
| | - Joost Verhaagen
- Department of Neuroregeneration, Netherlands Institute for Neuroscience, Institute of the Royal Netherlands Academy of Arts and Sciences, 1105 BA, Amsterdam, The Netherlands
- Department of Molecular and Cellular Neurobiology, Center for Neurogenomics and Cognitive Research, Neuroscience Campus Amsterdam, VU University, Boelelaan 1085, 1081 HV, Amsterdam, The Netherlands
| |
Collapse
|
19
|
Maldonado-Díaz C, Hiya S, Yokoda RT, Farrell K, Marx GA, Kauffman J, Daoud EV, Gonzales MM, Parker AS, Canbeldek L, Kulumani Mahadevan LS, Crary JF, White CL, Walker JM, Richardson TE. Disentangling and quantifying the relative cognitive impact of concurrent mixed neurodegenerative pathologies. Acta Neuropathol 2024; 147:58. [PMID: 38520489 PMCID: PMC10960766 DOI: 10.1007/s00401-024-02716-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Revised: 02/26/2024] [Accepted: 02/27/2024] [Indexed: 03/25/2024]
Abstract
Neurodegenerative pathologies such as Alzheimer disease neuropathologic change (ADNC), Lewy body disease (LBD), limbic-predominant age-related TDP-43 encephalopathy neuropathologic change (LATE-NC), and cerebrovascular disease (CVD) frequently coexist, but little is known about the exact contribution of each pathology to cognitive decline and dementia in subjects with mixed pathologies. We explored the relative cognitive impact of concurrent common and rare neurodegenerative pathologies employing multivariate logistic regression analysis adjusted for age, gender, and level of education. We analyzed a cohort of 6,262 subjects from the National Alzheimer's Coordinating Center database, ranging from 0 to 6 comorbid neuropathologic findings per individual, where 95.7% of individuals had at least 1 neurodegenerative finding at autopsy and 75.5% had at least 2 neurodegenerative findings. We identified which neuropathologic entities correlate most frequently with one another and demonstrated that the total number of pathologies per individual was directly correlated with cognitive performance as assessed by Clinical Dementia Rating (CDR®) and Mini-Mental State Examination (MMSE). We show that ADNC, LBD, LATE-NC, CVD, hippocampal sclerosis, Pick disease, and FTLD-TDP significantly impact overall cognition as independent variables. More specifically, ADNC significantly affected all assessed cognitive domains, LBD affected attention, processing speed, and language, LATE-NC primarily affected tests related to logical memory and language, while CVD and other less common pathologies (including Pick disease, progressive supranuclear palsy, and corticobasal degeneration) had more variable neurocognitive effects. Additionally, ADNC, LBD, and higher numbers of comorbid neuropathologies were associated with the presence of at least one APOE ε4 allele, and ADNC and higher numbers of neuropathologies were inversely correlated with APOE ε2 alleles. Understanding the mechanisms by which individual and concomitant neuropathologies affect cognition and the degree to which each contributes is an imperative step in the development of biomarkers and disease-modifying therapeutics, particularly as these medical interventions become more targeted and personalized.
Collapse
Affiliation(s)
- Carolina Maldonado-Díaz
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, Annenberg Building, 15.238, 1468 Madison Avenue, New York, NY, 10029, USA
| | - Satomi Hiya
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, Annenberg Building, 15.238, 1468 Madison Avenue, New York, NY, 10029, USA
| | - Raquel T Yokoda
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, Annenberg Building, 15.238, 1468 Madison Avenue, New York, NY, 10029, USA
| | - Kurt Farrell
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, Annenberg Building, 15.238, 1468 Madison Avenue, New York, NY, 10029, USA
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Neuropathology Brain Bank and Research CoRE, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Ronal M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Gabriel A Marx
- Neuropathology Brain Bank and Research CoRE, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Ronal M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Justin Kauffman
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, Annenberg Building, 15.238, 1468 Madison Avenue, New York, NY, 10029, USA
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Neuropathology Brain Bank and Research CoRE, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Ronal M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Elena V Daoud
- Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA
| | - Mitzi M Gonzales
- Department of Neurology, Cedars Sinai Medical Center, Los Angeles, CA, 90048, USA
- Department of Neurology, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA
- Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA
| | - Alicia S Parker
- Department of Neurology, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA
- Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA
| | - Leyla Canbeldek
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, Annenberg Building, 15.238, 1468 Madison Avenue, New York, NY, 10029, USA
| | - Lakshmi Shree Kulumani Mahadevan
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, Annenberg Building, 15.238, 1468 Madison Avenue, New York, NY, 10029, USA
| | - John F Crary
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, Annenberg Building, 15.238, 1468 Madison Avenue, New York, NY, 10029, USA
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Neuropathology Brain Bank and Research CoRE, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Ronal M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Charles L White
- Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA
| | - Jamie M Walker
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, Annenberg Building, 15.238, 1468 Madison Avenue, New York, NY, 10029, USA
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Neuropathology Brain Bank and Research CoRE, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA
| | - Timothy E Richardson
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, Annenberg Building, 15.238, 1468 Madison Avenue, New York, NY, 10029, USA.
| |
Collapse
|
20
|
Katsumata Y, Wu X, Aung KZ, Gauthreaux K, Mock C, Forrest SL, Kovacs GG, Nelson PT. Pathologic correlates of aging-related tau astrogliopathy: ARTAG is associated with LATE-NC and cerebrovascular pathologies, but not with ADNC. Neurobiol Dis 2024; 191:106412. [PMID: 38244935 PMCID: PMC10892903 DOI: 10.1016/j.nbd.2024.106412] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 01/16/2024] [Accepted: 01/17/2024] [Indexed: 01/22/2024] Open
Abstract
Age-related tau astrogliopathy (ARTAG) is detectable in the brains of over one-third of autopsied persons beyond age 80, but the pathoetiology of ARTAG is poorly understood. Insights can be gained by analyzing risk factors and comorbid pathologies. Here we addressed the question of which prevalent co-pathologies are observed with increased frequency in brains with ARTAG. The study sample was the National Alzheimer's Coordinating Center (NACC) data set, derived from multiple Alzheimer's disease research centers (ADRCs) in the United States. Data from persons with unusual conditions (e.g. frontotemporal dementia) were excluded leaving 504 individual autopsied research participants, clustering from 20 different ADRCs, autopsied since 2020; ARTAG was reported in 222 (44.0%) of included participants. As has been shown previously, ARTAG was increasingly frequent with older age and in males. The presence and severity of other common subtypes of pathology that were previously linked to dementia were analyzed, stratifying for the presence of ARTAG. In logistical regression-based statistical models that included age and sex as covariates, ARTAG was relatively more likely to be found in brains with limbic-predominant age-related TDP-43 encephalopathy neuropathologic change (LATE-NC), and in brains with comorbid cerebrovascular pathology (arteriolosclerosis and/or brain infarcts). However, ARTAG was not associated with severe Alzheimer's disease neuropathologic change (ADNC), or primary age-related tauopathy (PART). In a subset analysis of 167 participants with neurocognitive testing data, there was a marginal trend for ARTAG pathology to be associated with cognitive impairment as assessed with MMSE scores (P = 0.07, adjusting for age, sex, interval between final clinic visit and death, and ADNC severity). A limitation of the study was that there were missing data about ARTAG pathologies, with incomplete operationalization of ARTAG according to anatomic region and pathologic subtypes (e.g., thorn-shaped or granular-fuzzy astrocytes). In summary, ARTAG was not associated with ADNC, whereas prior observations about ARTAG occurring with increased frequency in aging, males, and brains with LATE-NC were replicated. It remains to be determined whether the increased frequency of ARTAG in brains with comorbid cerebrovascular pathology is related to local infarctions or neuroinflammatory signaling, or with some other set of correlated factors including blood-brain barrier dysfunction.
Collapse
Affiliation(s)
- Yuriko Katsumata
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY 40506, United States of America; Department of Biostatistics, University of Kentucky, Lexington, KY 40506, United States of America
| | - Xian Wu
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY 40506, United States of America; Department of Biostatistics, University of Kentucky, Lexington, KY 40506, United States of America
| | - Khine Zin Aung
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY 40506, United States of America; Department of Biostatistics, University of Kentucky, Lexington, KY 40506, United States of America
| | - Kathryn Gauthreaux
- National Alzheimer's Coordinating Center, Department of Epidemiology, University of Washington, Seattle, WA 98105, United States of America
| | - Charles Mock
- National Alzheimer's Coordinating Center, Department of Epidemiology, University of Washington, Seattle, WA 98105, United States of America
| | - Shelley L Forrest
- Tanz Centre for Research in Neurodegenerative Disease, University of Toronto, Toronto, Canada; Laboratory Medicine Program and Krembil Brain Institute, University Health Network, Toronto, Canada
| | - Gabor G Kovacs
- Tanz Centre for Research in Neurodegenerative Disease, University of Toronto, Toronto, Canada; Laboratory Medicine Program and Krembil Brain Institute, University Health Network, Toronto, Canada
| | - Peter T Nelson
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY 40506, United States of America; Department of Pathology, Division of Neuropathology, University of Kentucky, Lexington, KY, United States of America.
| |
Collapse
|
21
|
Wang S, Deng R, Chen Z, Huang L, Song Y, Yuan D, Li Y, Liu H, Yang F, Fan B, Xu Y, Zhao Z, Li Y, Zhang Y. High-Performance Plasma Biomarker Panel for Alzheimer's Disease Screening Using a Femtomolar-Level Label-Free Biosensing System. ACS NANO 2024; 18:2117-2130. [PMID: 38117205 DOI: 10.1021/acsnano.3c09311] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/21/2023]
Abstract
Alzheimer's disease (AD) is the most common cause of dementia in older people. However, diagnosing AD through noncognitive methods, such as invasive cerebrospinal fluid sampling or radioactive positron emission tomography, has limited applications. Herein, the femtomolar levels of AD biomarkers amyloid β 40 (Aβ40), amyloid β 42 (Aβ42), phosphorylated tau 181 (P-tau181), phosphorylated tau 217 (P-tau217), and neurofilament light chain (NfL) were determined in human plasma in multicenter clinical cohorts using an ultrasensitive graphene field-effect transistor sensor. A machine-learning algorithm was also used to assemble these plasma biomarkers and optimize their performance in discriminating individual stages of Alzheimer's dementia progression. The "composite-info" biomarker panel, which combines these biomarkers and clinical information, considerably improved the staging performance in AD progression. It achieved an area under the curve of >0.94 in the receiver operator characteristic (ROC) curve. In addition, the panel demonstrated an advantage in the individual-based stage assessment compared with that of the Mini-Mental State Examination/Montreal Cognitive Assessment and nuclear magnetic resonance imaging. This study provides a composite biomarker panel for the screening and early diagnosis of AD using a rapid detection system.
Collapse
Affiliation(s)
- Shicai Wang
- State Key Laboratory of Membrane Biology, School of Life Sciences, Peking University, Beijing 100871, China
- Central Research Institute, BOE Technology Group Co., Ltd, Beijing 1000176, China
| | - Ruijun Deng
- Central Research Institute, BOE Technology Group Co., Ltd, Beijing 1000176, China
| | - Zhiya Chen
- State Key Laboratory of Membrane Biology, School of Life Sciences, Peking University, Beijing 100871, China
- Yiwu Boya Rehabilitation Hospital, Yiwu 322006, China
| | - Lili Huang
- Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210008, China
| | - Yang Song
- Central Research Institute, BOE Technology Group Co., Ltd, Beijing 1000176, China
| | - Dan Yuan
- Central Research Institute, BOE Technology Group Co., Ltd, Beijing 1000176, China
| | - Yu Li
- State Key Laboratory of Membrane Biology, School of Life Sciences, Peking University, Beijing 100871, China
| | - Haonan Liu
- Central Research Institute, BOE Technology Group Co., Ltd, Beijing 1000176, China
| | - Fan Yang
- Central Research Institute, BOE Technology Group Co., Ltd, Beijing 1000176, China
| | - Beiyuan Fan
- Central Research Institute, BOE Technology Group Co., Ltd, Beijing 1000176, China
| | - Yun Xu
- Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210008, China
| | - Zijian Zhao
- Central Research Institute, BOE Technology Group Co., Ltd, Beijing 1000176, China
| | - Yanzhao Li
- Central Research Institute, BOE Technology Group Co., Ltd, Beijing 1000176, China
| | - Yan Zhang
- State Key Laboratory of Membrane Biology, School of Life Sciences, Peking University, Beijing 100871, China
| |
Collapse
|
22
|
Phongpreecha T, Godrich D, Berson E, Espinosa C, Kim Y, Cholerton B, Chang AL, Mataraso S, Bukhari SA, Perna A, Yakabi K, Montine KS, Poston KL, Mormino E, White L, Beecham G, Aghaeepour N, Montine TJ. Quantitative estimate of cognitive resilience and its medical and genetic associations. Alzheimers Res Ther 2023; 15:192. [PMID: 37926851 PMCID: PMC10626669 DOI: 10.1186/s13195-023-01329-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Accepted: 10/09/2023] [Indexed: 11/07/2023]
Abstract
BACKGROUND We have proposed that cognitive resilience (CR) counteracts brain damage from Alzheimer's disease (AD) or AD-related dementias such that older individuals who harbor neurodegenerative disease burden sufficient to cause dementia remain cognitively normal. However, CR traditionally is considered a binary trait, capturing only the most extreme examples, and is often inconsistently defined. METHODS This study addressed existing discrepancies and shortcomings of the current CR definition by proposing a framework for defining CR as a continuous variable for each neuropsychological test. The linear equations clarified CR's relationship to closely related terms, including cognitive function, reserve, compensation, and damage. Primarily, resilience is defined as a function of cognitive performance and damage from neuropathologic damage. As such, the study utilized data from 844 individuals (age = 79 ± 12, 44% female) in the National Alzheimer's Coordinating Center cohort that met our inclusion criteria of comprehensive lesion rankings for 17 neuropathologic features and complete neuropsychological test results. Machine learning models and GWAS then were used to identify medical and genetic factors that are associated with CR. RESULTS CR varied across five cognitive assessments and was greater in female participants, associated with longer survival, and weakly associated with educational attainment or APOE ε4 allele. In contrast, damage was strongly associated with APOE ε4 allele (P value < 0.0001). Major predictors of CR were cardiovascular health and social interactions, as well as the absence of behavioral symptoms. CONCLUSIONS Our framework explicitly decoupled the effects of CR from neuropathologic damage. Characterizations and genetic association study of these two components suggest that the underlying CR mechanism has minimal overlap with the disease mechanism. Moreover, the identified medical features associated with CR suggest modifiable features to counteract clinical expression of damage and maintain cognitive function in older individuals.
Collapse
Affiliation(s)
- Thanaphong Phongpreecha
- Department of Pathology, Stanford University, Stanford, CA, USA
- Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University, 300 Pasteur Dr Rm L216, Stanford, CA, 94305, USA
| | - Dana Godrich
- Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami, Miami, FL, USA
| | - Eloise Berson
- Department of Pathology, Stanford University, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University, 300 Pasteur Dr Rm L216, Stanford, CA, 94305, USA
- Department of Pediatrics, Stanford University, Stanford, CA, USA
| | - Camilo Espinosa
- Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University, 300 Pasteur Dr Rm L216, Stanford, CA, 94305, USA
- Department of Pediatrics, Stanford University, Stanford, CA, USA
| | - Yeasul Kim
- Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University, 300 Pasteur Dr Rm L216, Stanford, CA, 94305, USA
- Department of Pediatrics, Stanford University, Stanford, CA, USA
| | | | - Alan L Chang
- Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University, 300 Pasteur Dr Rm L216, Stanford, CA, 94305, USA
- Department of Pediatrics, Stanford University, Stanford, CA, USA
| | - Samson Mataraso
- Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University, 300 Pasteur Dr Rm L216, Stanford, CA, 94305, USA
- Department of Pediatrics, Stanford University, Stanford, CA, USA
| | - Syed A Bukhari
- Department of Pathology, Stanford University, Stanford, CA, USA
| | - Amalia Perna
- Department of Pathology, Stanford University, Stanford, CA, USA
| | - Koya Yakabi
- Department of Pathology, Stanford University, Stanford, CA, USA
| | | | - Kathleen L Poston
- Department of Neurology Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Elizabeth Mormino
- Department of Neurology Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Lon White
- Pacific Health Research and Education Institute, Honolulu, HI, USA
| | - Gary Beecham
- Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami, Miami, FL, USA
| | - Nima Aghaeepour
- Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University, 300 Pasteur Dr Rm L216, Stanford, CA, 94305, USA
- Department of Pediatrics, Stanford University, Stanford, CA, USA
| | - Thomas J Montine
- Department of Pathology, Stanford University, Stanford, CA, USA.
| |
Collapse
|
23
|
Sordo L, Qian T, Bukhari SA, Nguyen KM, Woodworth DC, Head E, Kawas CH, Corrada MM, Montine TJ, Sajjadi SA. Characterization of hippocampal sclerosis of aging and its association with other neuropathologic changes and cognitive deficits in the oldest-old. Acta Neuropathol 2023; 146:415-432. [PMID: 37382680 PMCID: PMC10412485 DOI: 10.1007/s00401-023-02606-9] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 06/16/2023] [Accepted: 06/18/2023] [Indexed: 06/30/2023]
Abstract
Hippocampal sclerosis of aging (HS-A) is a common age-related neuropathological lesion characterized by neuronal loss and astrogliosis in subiculum and CA1 subfield of hippocampus. HS-A is associated with cognitive decline that mimics Alzheimer's disease. Pathological diagnosis of HS-A is traditionally binary based on presence/absence of the lesion. We compared this traditional measure against our novel quantitative measure for studying the relationship between HS-A and other neuropathologies and cognitive impairment. We included 409 participants from The 90+ study with neuropathological examination and longitudinal neuropsychological assessments. In those with HS-A, we examined digitized H&E and LFB stained hippocampal slides. The length of HS-A in each subfield of hippocampus and subiculum, each further divided into three subregions, was measured using Aperio eSlide Manager. For each subregion, the proportion affected by HS-A was calculated. Using regression models, both traditional/binary and quantitative measures were used to study the relationship between HS-A and other neuropathological changes and cognitive outcomes. HS-A was present in 48 (12%) of participants and was always focal, primarily affecting CA1 (73%), followed by subiculum (9%); overlapping pathology (subiculum and CA1) affected 18% of individuals. HS-A was more common in the left (82%) than the right (25%) hemisphere and was bilateral in 7% of participants. HS-A traditional/binary assessment was associated with limbic-predominant age-related TDP-43 encephalopathy (LATE-NC; OR = 3.45, p < 0.001) and aging-related tau astrogliopathy (ARTAG; OR = 2.72, p = 0.008). In contrast, our quantitative approach showed associations between the proportion of HS-A (CA1/subiculum/combined) and LATE-NC (p = 0.001) and arteriolosclerosis (p = 0.005). While traditional binary assessment of HS-A was associated with impaired memory (OR = 2.60, p = 0.007), calculations (OR = 2.16, p = 0.027), and orientation (OR = 3.56, p < 0.001), our quantitative approach revealed additional associations with impairments in language (OR = 1.33, p = 0.018) and visuospatial domains (OR = 1.37, p = 0.006). Our novel quantitative method revealed associations between HS-A and vascular pathologies and impairment in cognitive domains that were not detected using traditional/binary measures.
Collapse
Affiliation(s)
- Lorena Sordo
- Department of Neurology, University of California, Irvine, Office 364, Med Surge II Building, Irvine, CA, 92697, USA
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, CA, USA
- Department of Pathology and Laboratory Medicine, University of California, Irvine, CA, USA
| | - Tianchen Qian
- Department of Statistics, University of California, Irvine, CA, USA
| | - Syed A Bukhari
- Department of Pathology, School of Medicine, Stanford University, Palo Alto, CA, USA
| | - Katelynn M Nguyen
- Department of Neurology, University of California, Irvine, Office 364, Med Surge II Building, Irvine, CA, 92697, USA
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, CA, USA
| | - Davis C Woodworth
- Department of Neurology, University of California, Irvine, Office 364, Med Surge II Building, Irvine, CA, 92697, USA
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, CA, USA
| | - Elizabeth Head
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, CA, USA
- Department of Pathology and Laboratory Medicine, University of California, Irvine, CA, USA
| | - Claudia H Kawas
- Department of Neurology, University of California, Irvine, Office 364, Med Surge II Building, Irvine, CA, 92697, USA
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, CA, USA
- Department of Neurobiology and Behavior, University of California, Irvine, CA, USA
| | - María M Corrada
- Department of Neurology, University of California, Irvine, Office 364, Med Surge II Building, Irvine, CA, 92697, USA
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, CA, USA
- Department of Epidemiology and Biostatistics, University of California, Irvine, CA, USA
| | - Thomas J Montine
- Department of Pathology, School of Medicine, Stanford University, Palo Alto, CA, USA
| | - S Ahmad Sajjadi
- Department of Neurology, University of California, Irvine, Office 364, Med Surge II Building, Irvine, CA, 92697, USA.
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, CA, USA.
- Department of Pathology and Laboratory Medicine, University of California, Irvine, CA, USA.
| |
Collapse
|
24
|
Nag S, Schneider JA. Limbic-predominant age-related TDP43 encephalopathy (LATE) neuropathological change in neurodegenerative diseases. Nat Rev Neurol 2023; 19:525-541. [PMID: 37563264 PMCID: PMC10964248 DOI: 10.1038/s41582-023-00846-7] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/26/2023] [Indexed: 08/12/2023]
Abstract
TAR DNA-binding protein 43 (TDP43) is a focus of research in late-onset dementias. TDP43 pathology in the brain was initially identified in amyotrophic lateral sclerosis and frontotemporal lobar degeneration, and later in Alzheimer disease (AD), other neurodegenerative diseases and ageing. Limbic-predominant age-related TDP43 encephalopathy (LATE), recognized as a clinical entity in 2019, is characterized by amnestic dementia resembling AD dementia and occurring most commonly in adults over 80 years of age. Neuropathological findings in LATE, referred to as LATE neuropathological change (LATE-NC), consist of neuronal and glial cytoplasmic TDP43 localized predominantly in limbic areas with or without coexisting hippocampal sclerosis and/or AD neuropathological change and without frontotemporal lobar degeneration or amyotrophic lateral sclerosis pathology. LATE-NC is frequently associated with one or more coexisting pathologies, mainly AD neuropathological change. The focus of this Review is the pathology, genetic risk factors and nature of the cognitive impairments and dementia in pure LATE-NC and in LATE-NC associated with coexisting pathologies. As the clinical and cognitive profile of LATE is currently not easily distinguishable from AD dementia, it is important to develop biomarkers to aid in the diagnosis of this condition in the clinic. The pathogenesis of LATE-NC should be a focus of future research to form the basis for the development of preventive and therapeutic strategies.
Collapse
Affiliation(s)
- Sukriti Nag
- Rush Alzheimer's Disease Center, Department of Pathology (Neuropathology), Rush University Medical Center, Chicago, IL, USA.
| | - Julie A Schneider
- Rush Alzheimer's Disease Center, Department of Pathology (Neuropathology), Rush University Medical Center, Chicago, IL, USA.
| |
Collapse
|
25
|
Wharton SB, Simpson JE, Ince PG, Richardson CD, Merrick R, Matthews FE, Brayne C. Insights into the pathological basis of dementia from population-based neuropathology studies. Neuropathol Appl Neurobiol 2023; 49:e12923. [PMID: 37462105 PMCID: PMC10946587 DOI: 10.1111/nan.12923] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 06/13/2023] [Accepted: 06/29/2023] [Indexed: 08/17/2023]
Abstract
The epidemiological neuropathology perspective of population and community-based studies allows unbiased assessment of the prevalence of various pathologies and their relationships to late-life dementia. In addition, this approach provides complementary insights to conventional case-control studies, which tend to be more representative of a younger clinical cohort. The Cognitive Function and Ageing Study (CFAS) is a longitudinal study of cognitive impairment and frailty in the general United Kingdom population. In this review, we provide an overview of the major findings from CFAS, alongside other studies, which have demonstrated a high prevalence of pathology in the ageing brain, particularly Alzheimer's disease neuropathological change and vascular pathology. Increasing burdens of these pathologies are the major correlates of dementia, especially neurofibrillary tangles, but there is substantial overlap in pathology between those with and without dementia, particularly at intermediate burdens of pathology and also at the oldest ages. Furthermore, additional pathologies such as limbic-predominant age-related TDP-43 encephalopathy, ageing-related tau astrogliopathy and primary age-related tauopathies contribute to late-life dementia. Findings from ageing population-representative studies have implications for the understanding of dementia pathology in the community. The high prevalence of pathology and variable relationship to dementia status has implications for disease definition and indicate a role for modulating factors on cognitive outcome. The complexity of late-life dementia, with mixed pathologies, indicates a need for a better understanding of these processes across the life-course to direct the best research for reducing risk in later life of avoidable clinical dementia syndromes.
Collapse
Affiliation(s)
- Stephen B. Wharton
- Sheffield Institute for Translational NeuroscienceUniversity of SheffieldSheffieldUK
| | - Julie E. Simpson
- Sheffield Institute for Translational NeuroscienceUniversity of SheffieldSheffieldUK
| | - Paul G. Ince
- Sheffield Institute for Translational NeuroscienceUniversity of SheffieldSheffieldUK
| | | | - Richard Merrick
- Cambridge Public Health, School of Clinical MedicineUniversity of CambridgeSheffieldUK
| | | | - Carol Brayne
- Cambridge Public Health, School of Clinical MedicineUniversity of CambridgeSheffieldUK
| | | |
Collapse
|
26
|
Li H, Ye T, Liu X, Guo R, Yang X, Li Y, Qi D, Wei Y, Zhu Y, Wen L, Cheng X. The role of signaling crosstalk of microglia in hippocampus on progression of ageing and Alzheimer's disease. J Pharm Anal 2023; 13:788-805. [PMID: 37577391 PMCID: PMC10422165 DOI: 10.1016/j.jpha.2023.05.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 05/08/2023] [Accepted: 05/12/2023] [Indexed: 08/15/2023] Open
Abstract
Based on single-cell sequencing of the hippocampi of 5× familiar Alzheimer's disease (5× FAD) and wild type mice at 2-, 12-, and 24-month of age, we found an increased percentage of microglia in aging and Alzheimer's disease (AD) mice. Blood brain barrier injury may also have contributed to this increase. Immune regulation by microglia plays a major role in the progression of aging and AD, according to the functions of 41 intersecting differentially expressed genes in microglia. Signaling crosstalk between C-C motif chemokine ligand (CCL) and major histocompatibility complex-1 bridges intercellular communication in the hippocampus during aging and AD. The amyloid precursor protein (APP) and colony stimulating factor (CSF) signals drive 5× FAD to deviate from aging track to AD occurrence among intercellular communication in hippocampus. Microglia are involved in the progression of aging and AD can be divided into 10 functional types. The strength of the interaction among microglial subtypes weakened with aging, and the CCL and CSF signaling pathways were the fundamental bridge of communication among microglial subtypes.
Collapse
Affiliation(s)
- He Li
- Innovative Institute of Chinese Medicine and Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan, 250355, China
| | - Tianyuan Ye
- Innovative Institute of Chinese Medicine and Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan, 250355, China
| | - Xingyang Liu
- Xiamen Key Laboratory for TCM Dampness Disease, Neurology & Immunology Research, Department of Traditional Chinese Medicine, Xiang'an Hospital, School of Medicine, Xiamen University, Xiamen, Fujian, 361102, China
| | - Rui Guo
- Xiamen Key Laboratory for TCM Dampness Disease, Neurology & Immunology Research, Department of Traditional Chinese Medicine, Xiang'an Hospital, School of Medicine, Xiamen University, Xiamen, Fujian, 361102, China
| | - Xiuzhao Yang
- Innovative Institute of Chinese Medicine and Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan, 250355, China
| | - Yangyi Li
- Innovative Institute of Chinese Medicine and Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan, 250355, China
| | - Dongmei Qi
- Experimental Center, Shandong University of Traditional Chinese Medicine, Jinan, 250355, China
| | - Yihua Wei
- Xiamen Key Laboratory for TCM Dampness Disease, Neurology & Immunology Research, Department of Traditional Chinese Medicine, Xiang'an Hospital, School of Medicine, Xiamen University, Xiamen, Fujian, 361102, China
| | - Yifan Zhu
- Xiamen Key Laboratory for TCM Dampness Disease, Neurology & Immunology Research, Department of Traditional Chinese Medicine, Xiang'an Hospital, School of Medicine, Xiamen University, Xiamen, Fujian, 361102, China
| | - Lei Wen
- Xiamen Key Laboratory for TCM Dampness Disease, Neurology & Immunology Research, Department of Traditional Chinese Medicine, Xiang'an Hospital, School of Medicine, Xiamen University, Xiamen, Fujian, 361102, China
| | - Xiaorui Cheng
- Innovative Institute of Chinese Medicine and Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan, 250355, China
| |
Collapse
|
27
|
Butler Pagnotti RM, Pudumjee SB, Cross CL, Miller JB. Cognitive and Clinical Characteristics of Patients With Limbic-Predominant Age-Related TDP-43 Encephalopathy. Neurology 2023; 100:e2027-e2035. [PMID: 36941071 PMCID: PMC10186224 DOI: 10.1212/wnl.0000000000207159] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Accepted: 01/20/2023] [Indexed: 03/23/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Limbic-predominant age-related TDP-43 encephalopathy (LATE) affects similar neuroanatomical networks as Alzheimer disease (AD) and is often comorbid with AD, though frequently missed in clinical diagnosis. The primary aim of this study was to elucidate the clinical and cognitive differences at baseline between patients with autopsy-confirmed LATE and patients with AD and comorbid LATE + AD. METHODS Clinical and neuropathologic datasets were requested from the National Alzheimer Coordination Center. Baseline data from individuals older than 75 years during death without neuropathologic indication of frontotemporal lobar degeneration were included in analyses. Pathologically defined groups reflecting LATE, AD, and comorbid LATE + AD were identified. Group differences in clinical characteristics and cognition were explored through analysis of variance and the χ2 using measures from the Uniform Data Set measures. RESULTS Pathology groups included 31 individuals with LATE (mean age: 80.6 ± 5.4 years), 393 with AD (mean age: 77.8 ± 6.4 years), and 262 with LATE + AD (mean age: 77.8 ± 6.6 years) without significant differences in sex, education, or race. Compared with participants with AD and LATE + AD pathology, participants with LATE pathology lived significantly longer (mean visits: LATE = 7.3 ± 3.7; AD = 5.8 ± 3.0; and LATE + AD = 5.8 ± 3.0; F(2,683) = 3.7, p < 0.05), reported later onset of cognitive decline (mean onset: LATE = 78.8 ± 5.7; AD = 72.5 ± 7.0; and LATE + AD = 72.9 ± 7.0; F(2,516) = 6.2, p < 0.01), and were more likely to be diagnosed as cognitively normal at baseline (LATE = 41.9%; AD = 25.4%; and LATE + AD = 12%; χ2 = 38.7, p < 0.001). Individuals with LATE (45.2%) also reported fewer memory complaints than those with AD (74.4%) or LATE + AD (66.4%; χ2 = 13.3, p = 0.001) and were less likely to be classified as impaired on the Mini-Mental State Examination (LATE = 6.5%; AD = 24.2%; and LATE + AD = 40.1%; χ2 = 29.20, p < 0.001). Across all neuropsychological measures, participants with LATE + AD pathology performed significantly worse than the AD and LATE groups. DISCUSSION Those with LATE pathology were older when cognitive symptoms began and lived longer than participants with AD or LATE + AD pathology. Participants with LATE pathology were also more likely to be classified as "cognitively normal" based on objective screening and self-report measures, and they had higher scores on neuropsychological testing. Consistent with prior literature, comorbid pathologies led to more significant cognitive and functional impairment. Early disease characteristics based on clinical presentation alone were insufficient for differentiating LATE from AD, reiterating the need for a validated biomarker.
Collapse
Affiliation(s)
- Rachel M Butler Pagnotti
- From the Cleveland Clinic Lou Ruvo Center for Brain Health (R.M.B.P., S.B.P., J.B.M.), Las Vegas; and Department of Epidemiology & Biostatistics (C.L.C.), School of Public Health, University of Nevada, Las Vegas
| | - Shehroo B Pudumjee
- From the Cleveland Clinic Lou Ruvo Center for Brain Health (R.M.B.P., S.B.P., J.B.M.), Las Vegas; and Department of Epidemiology & Biostatistics (C.L.C.), School of Public Health, University of Nevada, Las Vegas
| | - Chad L Cross
- From the Cleveland Clinic Lou Ruvo Center for Brain Health (R.M.B.P., S.B.P., J.B.M.), Las Vegas; and Department of Epidemiology & Biostatistics (C.L.C.), School of Public Health, University of Nevada, Las Vegas
| | - Justin B Miller
- From the Cleveland Clinic Lou Ruvo Center for Brain Health (R.M.B.P., S.B.P., J.B.M.), Las Vegas; and Department of Epidemiology & Biostatistics (C.L.C.), School of Public Health, University of Nevada, Las Vegas.
| |
Collapse
|
28
|
Biswas R, Kawas C, Montine TJ, Bukhari SA, Jiang L, Corrada MM. Superior Global Cognition in Oldest-Old Is Associated with Resistance to Neurodegenerative Pathologies: Results from The 90+ Study. J Alzheimers Dis 2023; 93:561-575. [PMID: 37066908 DOI: 10.3233/jad-221062] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/18/2023]
Abstract
BACKGROUND Some oldest-old individuals can maintain superior cognition despite advanced age. Little is known about the neuropathological changes in the brains of oldest-old superior cognitive performers. OBJECTIVE Our objective was to examine the associations between Alzheimer's disease (AD) and non-AD neuropathologic features in relation to superior cognitive performance in oldest-old individuals. METHODS We analyzed brain autopsy data from 102 participants with normal cognition from The 90+ Study. Superior global cognitive performers (SGCP) were defined as having Mini-Mental State Examination (MMSE) score ≥28 in the last visit 12 to 2 months before death. To examine the associations between individual and multiple comorbid neuropathologic features with SGCP status we used multiple logistic regression models adjusting for age, sex, and education. RESULTS Alzheimer's disease neuropathological change (ADNC) and low levels of vascular pathologic change were not associated with superior cognition. In contrast, participants with limbic (OR = 8.37; 95% CI: 1.48-47.44) and neocortical (OR = 10.80;95% CI: 1.03-113.82) Lewy body disease (LBD), or with hippocampal sclerosis (HS) (OR = 5.28; 95% CI: 1.10-25.47) were more likely to be non-SGCP. High total burden of multiple comorbid neuropathologic features was associated with a lower likelihood of being SGCP. CONCLUSION Oldest-old superior cognitive performers were resilient to ADNC and low levels of vascular pathologic change and were resistant to non-AD neurodegenerative changes and multiple comorbid neuropathologic features. Understanding the factors underlying the ability of superior cognitive performers to resist these changes might provide useful insights on maintenance of superior cognition despite advanced age.
Collapse
Affiliation(s)
- Roshni Biswas
- Department of Neurology, University of California, Irvine, CA, USA
| | - Claudia Kawas
- Department of Neurology, University of California, Irvine, CA, USA
- Department of Neurobiology and Behavior, University of California, Irvine, CA, USA
| | - Thomas J Montine
- Department of Pathology, Stanford University, Palo Alto, CA, USA
| | - Syed A Bukhari
- Department of Pathology, Stanford University, Palo Alto, CA, USA
| | - Luohua Jiang
- Department of Epidemiology and Biostatistics, University of California, Irvine, CA, USA
| | - Maria M Corrada
- Department of Neurology, University of California, Irvine, CA, USA
- Department of Epidemiology and Biostatistics, University of California, Irvine, CA, USA
| |
Collapse
|
29
|
I F. The unique neuropathological vulnerability of the human brain to aging. Ageing Res Rev 2023; 87:101916. [PMID: 36990284 DOI: 10.1016/j.arr.2023.101916] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 03/19/2023] [Accepted: 03/21/2023] [Indexed: 03/30/2023]
Abstract
Alzheimer's disease (AD)-related neurofibrillary tangles (NFT), argyrophilic grain disease (AGD), aging-related tau astrogliopathy (ARTAG), limbic predominant TDP-43 proteinopathy (LATE), and amygdala-predominant Lewy body disease (LBD) are proteinopathies that, together with hippocampal sclerosis, progressively appear in the elderly affecting from 50% to 99% of individuals aged 80 years, depending on the disease. These disorders usually converge on the same subject and associate with additive cognitive impairment. Abnormal Tau, TDP-43, and α-synuclein pathologies progress following a pattern consistent with an active cell-to-cell transmission and abnormal protein processing in the host cell. However, cell vulnerability and transmission pathways are specific for each disorder, albeit abnormal proteins may co-localize in particular neurons. All these alterations are unique or highly prevalent in humans. They all affect, at first, the archicortex and paleocortex to extend at later stages to the neocortex and other regions of the telencephalon. These observations show that the phylogenetically oldest areas of the human cerebral cortex and amygdala are not designed to cope with the lifespan of actual humans. New strategies aimed at reducing the functional overload of the human telencephalon, including optimization of dream repair mechanisms and implementation of artificial circuit devices to surrogate specific brain functions, appear promising.
Collapse
Affiliation(s)
- Ferrer I
- Department of Pathology and Experimental Therapeutics, University of Barcelona, Barcelona, Spain; Emeritus Researcher of the Bellvitge Institute of Biomedical Research (IDIBELL), Barcelona, Spain; Biomedical Research Network of Neurodegenerative Diseases (CIBERNED), Barcelona, Spain; Institute of Neurosciences, University of Barcelona, Barcelona, Spain; Hospitalet de Llobregat, Barcelona, Spain.
| |
Collapse
|
30
|
Abstract
Dementias encompass a range of debilitating neurologic conditions. Here, we summarize the neuropathology of common forms of dementia, focusing on Alzheimer disease (AD) and related dementias. AD is part of a spectrum of neurodegenerative diseases that consists of various protein inclusions (ie, proteinopathies) but other brain abnormalities are also related to dementia. Beta-amyloid and tau aggregates are hallmarks of AD. Other tissue substrates include Lewy bodies, TDP-43 inclusions, vascular brain lesions, and mixed pathologies. This review highlights the complexity of neurodegenerative and other disease substrates and summarizes topography of these lesions and concepts of mixed brain pathologies, resistance, and resilience.
Collapse
Affiliation(s)
- Rupal I Mehta
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL 60612, USA; Department of Pathology, Rush University Medical Center, 1750 West Harrison Street, Chicago, IL 60612, USA.
| | - Julie A Schneider
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL 60612, USA; Department of Pathology, Rush University Medical Center, 1750 West Harrison Street, Chicago, IL 60612, USA; Department of Neurological Sciences, Rush University Medical Center, Chicago, IL 60612, USA
| |
Collapse
|
31
|
Nelson PT, Lee EB, Cykowski MD, Alafuzoff I, Arfanakis K, Attems J, Brayne C, Corrada MM, Dugger BN, Flanagan ME, Ghetti B, Grinberg LT, Grossman M, Grothe MJ, Halliday GM, Hasegawa M, Hokkanen SRK, Hunter S, Jellinger K, Kawas CH, Keene CD, Kouri N, Kovacs GG, Leverenz JB, Latimer CS, Mackenzie IR, Mao Q, McAleese KE, Merrick R, Montine TJ, Murray ME, Myllykangas L, Nag S, Neltner JH, Newell KL, Rissman RA, Saito Y, Sajjadi SA, Schwetye KE, Teich AF, Thal DR, Tomé SO, Troncoso JC, Wang SHJ, White CL, Wisniewski T, Yang HS, Schneider JA, Dickson DW, Neumann M. LATE-NC staging in routine neuropathologic diagnosis: an update. Acta Neuropathol 2023; 145:159-173. [PMID: 36512061 PMCID: PMC9849315 DOI: 10.1007/s00401-022-02524-2] [Citation(s) in RCA: 81] [Impact Index Per Article: 40.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 11/21/2022] [Accepted: 11/22/2022] [Indexed: 12/15/2022]
Abstract
An international consensus report in 2019 recommended a classification system for limbic-predominant age-related TDP-43 encephalopathy neuropathologic changes (LATE-NC). The suggested neuropathologic staging system and nomenclature have proven useful for autopsy practice and dementia research. However, some issues remain unresolved, such as cases with unusual features that do not fit with current diagnostic categories. The goal of this report is to update the neuropathologic criteria for the diagnosis and staging of LATE-NC, based primarily on published data. We provide practical suggestions about how to integrate available genetic information and comorbid pathologies [e.g., Alzheimer's disease neuropathologic changes (ADNC) and Lewy body disease]. We also describe recent research findings that have enabled more precise guidance on how to differentiate LATE-NC from other subtypes of TDP-43 pathology [e.g., frontotemporal lobar degeneration (FTLD) and amyotrophic lateral sclerosis (ALS)], and how to render diagnoses in unusual situations in which TDP-43 pathology does not follow the staging scheme proposed in 2019. Specific recommendations are also made on when not to apply this diagnostic term based on current knowledge. Neuroanatomical regions of interest in LATE-NC are described in detail and the implications for TDP-43 immunohistochemical results are specified more precisely. We also highlight questions that remain unresolved and areas needing additional study. In summary, the current work lays out a number of recommendations to improve the precision of LATE-NC staging based on published reports and diagnostic experience.
Collapse
Affiliation(s)
- Peter T Nelson
- University of Kentucky, Rm 575 Todd Building, Lexington, KY, USA.
| | - Edward B Lee
- University of Pennsylvania, Philadelphia, PA, USA
| | | | | | - Konstantinos Arfanakis
- Rush University Medical Center, Chicago, IL, USA
- Illinois Institute of Technology, Chicago, IL, USA
| | | | | | | | | | | | | | | | | | - Michel J Grothe
- Unidad de Trastornos del Movimiento, Servicio de Neurología Y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain
| | | | - Masato Hasegawa
- Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan
| | | | | | | | | | | | | | - Gabor G Kovacs
- Tanz Centre for Research in Neurodegenerative Disease, University of Toronto, Toronto, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada
- Laboratory Medicine Program, University Health Network, Toronto, Canada
- Institute of Neurology, Medical University of Vienna, Vienna, Austria
| | | | | | | | - Qinwen Mao
- University of Utah, Salt Lake City, UT, USA
| | | | | | | | | | - Liisa Myllykangas
- University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Sukriti Nag
- Rush University Medical Center, Chicago, IL, USA
| | - Janna H Neltner
- University of Kentucky, Rm 575 Todd Building, Lexington, KY, USA
| | | | | | - Yuko Saito
- Tokyo Metropolitan Geriatric Hospital & Institute of Gerontology, Tokyo, Japan
| | | | | | | | - Dietmar R Thal
- Laboratory for Neuropathology, Department of Imaging and Pathoogy, and Leuven Brain Institute, KU Leuven, Leuven, Belgium
- Department of Pathology, University Hospital Leuven, Leuven, Belgium
| | - Sandra O Tomé
- Laboratory for Neuropathology, Department of Imaging and Pathoogy, and Leuven Brain Institute, KU Leuven, Leuven, Belgium
| | | | | | - Charles L White
- University of Texas Southwestern Medical Center, Dallas, TX, USA
| | | | - Hyun-Sik Yang
- Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, BostonBoston, MAMA, USA
| | | | | | | |
Collapse
|
32
|
Walker JM, Richardson TE. Cognitive resistance to and resilience against multiple comorbid neurodegenerative pathologies and the impact of APOE status. J Neuropathol Exp Neurol 2023; 82:110-119. [PMID: 36458951 PMCID: PMC9852945 DOI: 10.1093/jnen/nlac115] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/04/2022] Open
Abstract
Alzheimer disease (AD) is currently the leading cause of cognitive decline and dementia worldwide. Recently, studies have suggested that other neurodegenerative comorbidities such as limbic-predominant age-related TDP-43 encephalopathy neuropathologic change (LATE-NC), Lewy body disease (LBD), and cerebrovascular disease frequently co-occur with Alzheimer disease neuropathologic change (ADNC) and may have significant cognitive effects both in isolation and synergistically with ADNC. Herein, we study the relative clinical impact of these multiple neurodegenerative pathologies in 704 subjects. Each of these pathologies is relatively common in the cognitively impaired population, while cerebrovascular pathology and ADNC are the most common in cognitively normal individuals. Moreover, while the number of concurrent neuropathologic entities rises with age and has a progressively deleterious effect on cognition, 44.3% of cognitively intact individuals are resistant to having any neurodegenerative proteinopathy (compared to 15.2% of cognitively impaired individuals) and 83.5% are resistant to having multiple concurrent proteinopathies (compared to 64.6% of cognitively impaired individuals). The presence of at least 1 APOE ε4 allele was associated with impaired cognition and the presence of multiple proteinopathies, while APOE ε2 was protective against cumulative proteinopathies. These results indicate that maintenance of normal cognition may depend on resistance to the development of multiple concurrent proteinopathies.
Collapse
Affiliation(s)
- Jamie M Walker
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Timothy E Richardson
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| |
Collapse
|
33
|
Walker JM, Gonzales MM, Goette W, Farrell K, White CL, Crary JF, Richardson TE. Cognitive and Neuropsychological Profiles in Alzheimer's Disease and Primary Age-Related Tauopathy and the Influence of Comorbid Neuropathologies. J Alzheimers Dis 2023; 92:1037-1049. [PMID: 36847012 PMCID: PMC11138480 DOI: 10.3233/jad-230022] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/25/2023]
Abstract
BACKGROUND Alzheimer's disease neuropathologic change (ADNC) is defined by the progression of both hyperphosphorylated-tau (p-tau) and amyloid-β (Aβ) and is the most common underlying cause of dementia worldwide. Primary age-related tauopathy (PART), an Aβ-negative tauopathy largely confined to the medial temporal lobe, is increasingly being recognized as an entity separate from ADNC with diverging clinical, genetic, neuroanatomic, and radiologic profiles. OBJECTIVE The specific clinical correlates of PART are largely unknown; we aimed to identify cognitive and neuropsychological differences between PART, ADNC, and subjects with no tauopathy (NT). METHODS We compared 2,884 subjects with autopsy-confirmed intermediate-high stage ADNC to 208 subjects with definite PART (Braak stage I-IV, Thal phase 0, CERAD NP score "absent") and 178 NT subjects from the National Alzheimer's Coordinating Center dataset. RESULTS PART subjects were older than either ADNC or NT patients. The ADNC cohort had more frequent neuropathological comorbidities as well as APOE ɛ4 alleles than the PART or NT cohort, and less frequent APOE ɛ2 alleles than either group. Clinically, ADNC patients performed significantly worse than NT or PART subjects across cognitive measures, but PART subjects had selective deficits in measures of processing speed, executive function, and visuospatial function, although additional cognitive measures were further impaired in the presence of neuropathologic comorbidities. In isolated cases of PART with Braak stage III-IV, there are additional deficits in measures of language. CONCLUSION Overall, these findings demonstrate underlying cognitive features specifically associated with PART, and reinforce the concept that PART is a distinct entity from ADNC.
Collapse
Affiliation(s)
- Jamie M. Walker
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Glenn Biggs Institute for Alzheimer’s & Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Mitzi M. Gonzales
- Glenn Biggs Institute for Alzheimer’s & Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
- Department of Neurology, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - William Goette
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Kurt Farrell
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Artificial Intelligence & Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Ronald M. Loeb Center for Alzheimer’s Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Neuropathology Brain Bank & Research CoRE, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Charles L. White
- Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - John F. Crary
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Artificial Intelligence & Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Ronald M. Loeb Center for Alzheimer’s Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Neuropathology Brain Bank & Research CoRE, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Timothy E. Richardson
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| |
Collapse
|
34
|
The Impact of Cerebral Amyloid Angiopathy on Functional Outcome of Patients Affected by Spontaneous Intracerebral Hemorrhage Discharged from Intensive Inpatient Rehabilitation: A Cohort Study. Diagnostics (Basel) 2022; 12:diagnostics12102458. [PMID: 36292146 PMCID: PMC9600668 DOI: 10.3390/diagnostics12102458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 09/19/2022] [Accepted: 09/29/2022] [Indexed: 11/19/2022] Open
Abstract
Background: Sporadic CAA is recognized as a major cause of sICH and sABI. Even if intensive rehabilitation is recommended to maximize functional recovery after sICH, no data are available on whether CAA may affect rehabilitation outcomes. In this observational prospective study, to explore the impact of CAA on rehabilitation results, functional outcomes after intensive rehabilitation have been compared between patients affected by sICH with and without a diagnosis of CAA. Methods: All adults affected by sABI due to sICH and admitted to the IRU of IRCCS-Don-Gnocchi-Foundation were consecutively enrolled for 12 months. Demographic and clinical data were recorded upon admission and discharge. Results: Among 102 sICH patients (age: 66 (IQR = 16), 53% female), 13% were diagnosed as probable/possible-CAA. TPO and functional assessment were comparable upon admission, but CAA patients were significantly older (p = 0.001). After a comparable LOS, CAA patients presented higher care burden (ERBI: p = 0.025), poorer functional recovery (FIM: p = 0.02) and lower levels of global independence (GOSE > 4: p = 0.03). In multivariate analysis, CAA was significantly correlated with a lower FIM (p = 0.019) and a lower likelihood of reaching GOS-E > 4, (p = 0.041) at discharge, independently from age. Conclusions: CAA seems to be independently associated with poorer rehabilitation outcomes, suggesting the importance of improving knowledge about CAA to better predict rehabilitation outcomes.
Collapse
|
35
|
Montine TJ, Corrada MM, Kawas C, Bukhari SA, White LR, Tian L, Cholerton B. Association of Cognition and Dementia With Neuropathologic Changes of Alzheimer Disease and Other Conditions in the Oldest Old. Neurology 2022; 99:e1067-e1078. [PMID: 35705500 PMCID: PMC9519247 DOI: 10.1212/wnl.0000000000200832] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Accepted: 04/22/2022] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Age is the largest risk factor for dementia. However, dementia is not universal, even among the oldest-old age groups. Following contemporary neuropathologic guidelines, our objectives were to describe the key neuropathologic lesions and their associations with antemortem cognition in oldest-old individuals. METHODS Participants were those enrolled in The 90+ Study, a longitudinal, population-based study of aging/dementia in the oldest old, who agreed to postmortem brain examination. All autopsied brains as of December 2020 were evaluated for the prevalence of Alzheimer disease neuropathologic change (ADNC) and non-ADNC neuropathologic comorbidities. Associations between neuropathologic lesions or the total neuropathologic burden score (sum of the individual scores) and cognition were assessed using multinomial logistic regression and multiple linear regression. Separate regression analyses evaluated relationships between limbic-predominant age-related TDP-43 encephalopathy (LATE-NC) and hippocampal sclerosis (HS) or ADNC/primary age-related tauopathy (PART). Resistance, or failure to develop ADNC/PART, and resilience, inferred from higher-than-expected cognitive functioning, were evaluated in the presence or absence of non-ADNC neuropathologic features. RESULTS The most common neuropathologic features in the sample (n = 367) were ADNC/PART related. Increased dementia odds were associated with elevated total neuropathologic burden (odds ratio [OR] 1.5, 95% CI 1.3-1.7, p < 0.0001), β-amyloid (OR 1.6, 95% CI 1.2-2.0, p < 0.0001), neurofibrillary tangles (OR 2.6, 95% CI 1.7-4.1, p < 0.0001), and LATE-NC (OR 2.3, 95% CI 1.7-3.1, p < 0.0001), correcting for multiple comparisons. LATE-NC was associated with dementia with (OR 6.1, 95% CI 2.0-18.7, p = 0.002) and without (OR 5.0, 95% CI 2.6-9.7, p < 0.0001) co-occurring HS and increased the odds of dementia among participants with ADNC (OR 5.0, 95% CI 2.7-9.2, p < 0.0001). Resistance to moderate/severe ADNC/PART was rare (3%), but resilience to ADNC/PART was not (55%). Resilience was rarer in the presence of non-ADNC comorbid lesions, particularly LATE-NC. Among those with moderate/severe ADNC/PART, dementia odds increased with each non-ADNC comorbid lesion (e.g., 1 lesion: OR 2.4, 95% CI 1.3-4.5, p < 0.005; 2 lesions: OR 5.9, 95% CI 2.8-12.3, p < 0.0001). DISCUSSION These results highlight the importance of non-ADNC neuropathologic comorbidity, predominantly LATE-NC, to cognition in the oldest old. Given the cumulative effects of non-ADNC comorbid neuropathologic abnormalities, reducing their prevalence, especially LATE-NC, will be vital to the ultimate goal of reducing dementia burden in the oldest-old individuals.
Collapse
Affiliation(s)
- Thomas J Montine
- From the Department of Pathology (T.J.M., S.B., B.C.), Stanford University School of Medicine, Palo Alto, CA; Departments of Neurology (M.M.C., C.K.), Epidemiology (M.M.C.), and Neurobiology & Behavior (C.K.), University of California Irvine; Pacific Health Research and Education Institute (L.W.), Honolulu, HI; and Department of Biomedical Data Science (L.T.), Stanford University School of Medicine, Palo Alto, CA
| | - Maria M Corrada
- From the Department of Pathology (T.J.M., S.B., B.C.), Stanford University School of Medicine, Palo Alto, CA; Departments of Neurology (M.M.C., C.K.), Epidemiology (M.M.C.), and Neurobiology & Behavior (C.K.), University of California Irvine; Pacific Health Research and Education Institute (L.W.), Honolulu, HI; and Department of Biomedical Data Science (L.T.), Stanford University School of Medicine, Palo Alto, CA
| | - Claudia Kawas
- From the Department of Pathology (T.J.M., S.B., B.C.), Stanford University School of Medicine, Palo Alto, CA; Departments of Neurology (M.M.C., C.K.), Epidemiology (M.M.C.), and Neurobiology & Behavior (C.K.), University of California Irvine; Pacific Health Research and Education Institute (L.W.), Honolulu, HI; and Department of Biomedical Data Science (L.T.), Stanford University School of Medicine, Palo Alto, CA
| | - Syed A Bukhari
- From the Department of Pathology (T.J.M., S.B., B.C.), Stanford University School of Medicine, Palo Alto, CA; Departments of Neurology (M.M.C., C.K.), Epidemiology (M.M.C.), and Neurobiology & Behavior (C.K.), University of California Irvine; Pacific Health Research and Education Institute (L.W.), Honolulu, HI; and Department of Biomedical Data Science (L.T.), Stanford University School of Medicine, Palo Alto, CA
| | - Lon R White
- From the Department of Pathology (T.J.M., S.B., B.C.), Stanford University School of Medicine, Palo Alto, CA; Departments of Neurology (M.M.C., C.K.), Epidemiology (M.M.C.), and Neurobiology & Behavior (C.K.), University of California Irvine; Pacific Health Research and Education Institute (L.W.), Honolulu, HI; and Department of Biomedical Data Science (L.T.), Stanford University School of Medicine, Palo Alto, CA
| | - Lu Tian
- From the Department of Pathology (T.J.M., S.B., B.C.), Stanford University School of Medicine, Palo Alto, CA; Departments of Neurology (M.M.C., C.K.), Epidemiology (M.M.C.), and Neurobiology & Behavior (C.K.), University of California Irvine; Pacific Health Research and Education Institute (L.W.), Honolulu, HI; and Department of Biomedical Data Science (L.T.), Stanford University School of Medicine, Palo Alto, CA
| | - Brenna Cholerton
- From the Department of Pathology (T.J.M., S.B., B.C.), Stanford University School of Medicine, Palo Alto, CA; Departments of Neurology (M.M.C., C.K.), Epidemiology (M.M.C.), and Neurobiology & Behavior (C.K.), University of California Irvine; Pacific Health Research and Education Institute (L.W.), Honolulu, HI; and Department of Biomedical Data Science (L.T.), Stanford University School of Medicine, Palo Alto, CA.
| |
Collapse
|
36
|
Melikyan ZA, Corrada MM, Leiby AM, Sajjadi SA, Bukhari S, Montine TJ, Kawas CH. Cognitive resilience to three dementia-related neuropathologies in an oldest-old man: A case report from The 90+ Study. Neurobiol Aging 2022; 116:12-15. [PMID: 35526514 PMCID: PMC9733494 DOI: 10.1016/j.neurobiolaging.2022.03.009] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Revised: 03/14/2022] [Accepted: 03/15/2022] [Indexed: 02/02/2023]
Abstract
Cognitive resilience provides insights into maintaining good cognition despite dementia-related neuropathologic changes. It is of special interest in the oldest-old (age 90+) because age is the strongest risk factor for dementia. We describe the only participant of The 90+ Study, among 367 autopsies, who maintained normal cognition despite intermediate-high levels of 3 dementia-related neuropathologic changes, advanced age, and comorbidities associated with cognitive impairment. This man remained cognitively normal throughout 13 semi-annual study visits, last one being 4 months before his death at 96. His cognitive test scores remained around the 90th percentile for non-timed tests and declined from 90th to 50th percentile (significant for semantic fluency) for timed tests. He remained physically and cognitively active until death, despite extrapyramidal signs in the last year of life. Neuropathological examination revealed intermediate level of Alzheimer's disease neuropathologic change (Thal phase 5, Braak NFT stage IV, CERAD score 3), Lewy bodies and neurites in the olfactory bulb, brainstem and limbic areas (Braak PD stage 4), TDP-43 inclusions in the amygdala and hippocampus (LATE stage 2), and a microvascular lesion in putamen. This case demonstrates that cognitive impairment is not inevitable even in the oldest-old with mutltiple dementia-related neuropathologic changes.
Collapse
Affiliation(s)
- Zarui A Melikyan
- Institute for Memory Impairments and Neurologic Disorders, University of California, Irvine, CA, USA.
| | - María M Corrada
- Institute for Memory Impairments and Neurologic Disorders, University of California, Irvine, CA, USA; Department of Neurology, University of California, Irvine, CA, USA; Department of Epidemiology, University of California, Irvine, CA, USA
| | - Anne-Marie Leiby
- Department of Neurology, University of California, Irvine, CA, USA
| | - Seyed Ahmad Sajjadi
- Institute for Memory Impairments and Neurologic Disorders, University of California, Irvine, CA, USA; Department of Neurology, University of California, Irvine, CA, USA
| | - Syed Bukhari
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Thomas J Montine
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Claudia H Kawas
- Institute for Memory Impairments and Neurologic Disorders, University of California, Irvine, CA, USA; Department of Neurology, University of California, Irvine, CA, USA; Department of Neurobiology and Behavior, University of California, Irvine, CA, USA
| |
Collapse
|
37
|
Nelson PT, Brayne C, Flanagan ME, Abner EL, Agrawal S, Attems J, Castellani RJ, Corrada MM, Cykowski MD, Di J, Dickson DW, Dugger BN, Ervin JF, Fleming J, Graff-Radford J, Grinberg LT, Hokkanen SRK, Hunter S, Kapasi A, Kawas CH, Keage HAD, Keene CD, Kero M, Knopman DS, Kouri N, Kovacs GG, Labuzan SA, Larson EB, Latimer CS, Leite REP, Matchett BJ, Matthews FE, Merrick R, Montine TJ, Murray ME, Myllykangas L, Nag S, Nelson RS, Neltner JH, Nguyen AT, Petersen RC, Polvikoski T, Reichard RR, Rodriguez RD, Suemoto CK, Wang SHJ, Wharton SB, White L, Schneider JA. Frequency of LATE neuropathologic change across the spectrum of Alzheimer's disease neuropathology: combined data from 13 community-based or population-based autopsy cohorts. Acta Neuropathol 2022; 144:27-44. [PMID: 35697880 PMCID: PMC9552938 DOI: 10.1007/s00401-022-02444-1] [Citation(s) in RCA: 95] [Impact Index Per Article: 31.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Revised: 05/04/2022] [Accepted: 05/22/2022] [Indexed: 02/02/2023]
Abstract
Limbic-predominant age-related TDP-43 encephalopathy neuropathologic change (LATE-NC) and Alzheimer's disease neuropathologic change (ADNC) are each associated with substantial cognitive impairment in aging populations. However, the prevalence of LATE-NC across the full range of ADNC remains uncertain. To address this knowledge gap, neuropathologic, genetic, and clinical data were compiled from 13 high-quality community- and population-based longitudinal studies. Participants were recruited from United States (8 cohorts, including one focusing on Japanese-American men), United Kingdom (2 cohorts), Brazil, Austria, and Finland. The total number of participants included was 6196, and the average age of death was 88.1 years. Not all data were available on each individual and there were differences between the cohorts in study designs and the amount of missing data. Among those with known cognitive status before death (n = 5665), 43.0% were cognitively normal, 14.9% had MCI, and 42.4% had dementia-broadly consistent with epidemiologic data in this age group. Approximately 99% of participants (n = 6125) had available CERAD neuritic amyloid plaque score data. In this subsample, 39.4% had autopsy-confirmed LATE-NC of any stage. Among brains with "frequent" neuritic amyloid plaques, 54.9% had comorbid LATE-NC, whereas in brains with no detected neuritic amyloid plaques, 27.0% had LATE-NC. Data on LATE-NC stages were available for 3803 participants, of which 25% had LATE-NC stage > 1 (associated with cognitive impairment). In the subset of individuals with Thal Aβ phase = 0 (lacking detectable Aβ plaques), the brains with LATE-NC had relatively more severe primary age-related tauopathy (PART). A total of 3267 participants had available clinical data relevant to frontotemporal dementia (FTD), and none were given the clinical diagnosis of definite FTD nor the pathological diagnosis of frontotemporal lobar degeneration with TDP-43 inclusions (FTLD-TDP). In the 10 cohorts with detailed neurocognitive assessments proximal to death, cognition tended to be worse with LATE-NC across the full spectrum of ADNC severity. This study provided a credible estimate of the current prevalence of LATE-NC in advanced age. LATE-NC was seen in almost 40% of participants and often, but not always, coexisted with Alzheimer's disease neuropathology.
Collapse
Affiliation(s)
- Peter T Nelson
- University of Kentucky, Rm 311 Sanders-Brown Center on Aging, Lexington, KY, USA.
| | | | | | - Erin L Abner
- University of Kentucky, Rm 311 Sanders-Brown Center on Aging, Lexington, KY, USA
| | | | | | | | | | | | - Jing Di
- University of Kentucky, Rm 311 Sanders-Brown Center on Aging, Lexington, KY, USA
| | | | | | | | | | | | - Lea T Grinberg
- University of California, San Francisco, CA, USA
- University of Sao Paulo Medical School, Sao Paulo, Brazil
| | | | | | | | | | | | | | - Mia Kero
- University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | | | | | - Gabor G Kovacs
- Tanz Centre for Research in Neurodegenerative Disease, University of Toronto, Toronto, ON, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
- Laboratory Medicine Program, University Health Network, Toronto, ON, Canada
- Institute of Neurology, Medical University of Vienna, Vienna, Austria
| | | | - Eric B Larson
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | | | | | | | | | | | | | | | - Liisa Myllykangas
- University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Sukriti Nag
- Rush University Medical Center, Chicago, IL, USA
| | | | - Janna H Neltner
- University of Kentucky, Rm 311 Sanders-Brown Center on Aging, Lexington, KY, USA
| | | | | | | | | | | | | | | | - Stephen B Wharton
- Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, UK
| | - Lon White
- Pacific Health Research and Education Institute, Honolulu, HI, USA
| | | |
Collapse
|
38
|
Wang SHJ, Guo Y, Ervin JF, Lusk JB, Luo S. Neuropathological associations of limbic-predominant age-related TDP-43 encephalopathy neuropathological change (LATE-NC) differ between the oldest-old and younger-old. Acta Neuropathol 2022; 144:45-57. [PMID: 35551470 PMCID: PMC9997084 DOI: 10.1007/s00401-022-02432-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 05/04/2022] [Accepted: 05/05/2022] [Indexed: 02/08/2023]
Abstract
Limbic-predominant age-related TDP-43 encephalopathy neuropathological change (LATE-NC) is most often seen in the oldest-old (≥ 90 years of age) but can also be present in the younger-old (< 90 years of age). In this study, we compared the neuropathological associations of LATE-NC and contribution of LATE-NC to cognitive impairment between the oldest-old and younger-old. We observed significant differences in the prevalence of LATE-NC and its association with other co-pathologies in these two age groups. LATE-NC was present in 30.9% (34/110) of the oldest-old but only 9.4% (19/203) of the younger-old. Participants of the oldest-old with LATE-NC were more likely to have hippocampal sclerosis (HS) (55.9% vs. 10.5%, p < 0.001) and moderate to severe arteriolosclerosis (82.4% vs. 50%, p = 0.007), but not intermediate to high Alzheimer's disease neuropathologic change (ADNC) (70.6% vs. 59.2%, p = 0.486) or Lewy body disease (LBD) (20.6% vs. 26.3%, p = 0.793). Participants of the younger-old with LATE-NC were more likely to have intermediate to high ADNC (94.7% vs. 55.4%, p < 0.001) and LBD (63.2% vs. 28.8%, p = 0.013) in addition to hippocampal sclerosis (42.1% vs. 6.5%, p < 0.001), and moderate to severe arteriolosclerosis (42.1% vs. 15.2%, p = 0.020). Of note, participants with LATE-NC and no to low ADNC were very rare in the younger-old (< 1%) but relatively common in the oldest-old (9.1%). Logistic regression modeling showed that in the oldest-old, both intermediate to high ADNC and LATE-NC were independently associated with higher odds of having dementia (OR: 5.09, 95% CI [1.99, 13.06], p < 0.001 for ADNC; OR: 3.28, 95% CI [1.25, 8.57], p = 0.015 for LATE-NC). In the younger-old, by contrast, intermediate to high ADNC and LBD were independently associated with higher odds of having dementia (OR: 4.43, 95% CI [2.27, 8.63], p < 0.001 for ADNC; OR: 2.55, 95% CI [1.21, 5.35], p < 0.014 for LBD), whereas LATE-NC did not show an independent association with dementia. Overall, LATE-NC is strongly associated with arteriolosclerosis and HS in both groups; however, in the younger-old, LATE-NC is associated with other neurodegenerative pathologies, such as ADNC and LBD; whereas in the oldest-old, LATE-NC can exist independent of significant ADNC.
Collapse
Affiliation(s)
- Shih-Hsiu J Wang
- Department of Pathology, Duke University Medical Center, 214MA Davison Bldg., 40 Duke Medicine Circle, Durham, NC, 27710, USA.
- Department of Neurology, Duke University Medical Center, Durham, USA.
| | - Yuanyuan Guo
- Department of Biostatics and Bioinformatics, Duke University Medical Center, Durham, USA
| | - John F Ervin
- Department of Neurology, Duke University Medical Center, Durham, USA
| | - Jay B Lusk
- Department of Pathology, Duke University Medical Center, 214MA Davison Bldg., 40 Duke Medicine Circle, Durham, NC, 27710, USA
- Department of Neurology, Duke University Medical Center, Durham, USA
| | - Sheng Luo
- Department of Biostatics and Bioinformatics, Duke University Medical Center, Durham, USA
| |
Collapse
|
39
|
Forrest SL, Wagner S, Kim A, Kovacs GG. Association of glial tau pathology and LATE-NC in the ageing brain. Neurobiol Aging 2022; 119:77-88. [DOI: 10.1016/j.neurobiolaging.2022.07.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Revised: 07/20/2022] [Accepted: 07/27/2022] [Indexed: 11/25/2022]
|
40
|
Gómez-Isla T, Frosch MP. Lesions without symptoms: understanding resilience to Alzheimer disease neuropathological changes. Nat Rev Neurol 2022; 18:323-332. [PMID: 35332316 PMCID: PMC10607925 DOI: 10.1038/s41582-022-00642-9] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/24/2022] [Indexed: 12/12/2022]
Abstract
Since the original description of amyloid-β plaques and tau tangles more than 100 years ago, these lesions have been considered the neuropathological hallmarks of Alzheimer disease (AD). The prevalence of plaques, tangles and dementia increases with age, and the lesions are considered to be causally related to the cognitive symptoms of AD. Current schemes for assessing AD lesion burden examine the distribution, abundance and characteristics of plaques and tangles at post mortem, yielding an estimate of the likelihood of cognitive impairment. Although this approach is highly predictive for most individuals, in some instances, a striking mismatch between lesions and symptoms can be observed. A small subset of individuals harbour a high burden of plaques and tangles at autopsy, which would be expected to have had devastating clinical consequences, but remain at their cognitive baseline, indicating 'resilience'. The study of these brains might provide the key to understanding the 'black box' between the accumulation of plaques and tangles and cognitive impairment, and show the way towards disease-modifying treatments for AD. In this Review, we begin by considering the heterogeneity of clinical manifestations associated with the presence of plaques and tangles, and then focus on insights derived from the rare yet informative individuals who display high amounts of amyloid and tau deposition in their brains (observed directly at autopsy) without manifesting dementia during life. The resilient response of these individuals to the gradual accumulation of plaques and tangles has potential implications for assessing an individual's risk of AD and for the development of interventions aimed at preserving cognition.
Collapse
Affiliation(s)
- Teresa Gómez-Isla
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA.
- Massachusetts Alzheimer's Disease Research Center, Boston, MA, USA.
| | - Matthew P Frosch
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Massachusetts Alzheimer's Disease Research Center, Boston, MA, USA
- C.S. Kubik Laboratory for Neuropathology, Massachusetts General Hospital, Boston, MA, USA
| |
Collapse
|
41
|
Abstract
PURPOSE OF REVIEW This article provides an overview of the neuropathology of common age-related dementing disorders, focusing on the pathologies that underlie Alzheimer disease (AD) and related dementias, including Lewy body dementias, frontotemporal dementia, vascular dementia, limbic-predominant age-related transactive response DNA-binding protein 43 (TDP-43) encephalopathy (LATE), and mixed-etiology dementias. This article also discusses the underlying proteinopathies of neurodegenerative diseases (eg, amyloid-β, paired helical filament tau, α-synuclein, and TDP-43 pathology) and vascular pathologies, including tissue injury (eg, infarcts, hemorrhages) with or without vessel disease. RECENT FINDINGS New criteria for AD pathologic diagnosis highlight amyloid-β as the sine qua non of AD; they require molecular markers of amyloid and establish a minimum threshold of Braak neurofibrillary tangle stage 3. Pathologic diagnosis is separated from clinical disease (ie, pathologic diagnosis no longer requires dementia). TDP-43 pathology, a major pathology in a frontotemporal dementia subtype, was found as a central pathology in LATE, a newly named amnestic disorder. Multiple pathologies (often co-occurring with AD) contribute to dementia and add complexity to the clinical picture. Conversely, Lewy body, LATE, and vascular dementias often have accompanying AD pathology. Pathology and biomarker studies highlight subclinical pathologies in older people without cognitive impairment. This resilience to brain pathology is common and is known as cognitive reserve. SUMMARY The pathologies of dementia in aging are most commonly amyloid, tangles, Lewy bodies, TDP-43, hippocampal sclerosis, and vascular pathologies. These pathologies often co-occur (mixed pathologies), which may make specific clinical diagnoses difficult. In addition, dementia-related pathologies are often subclinical, suggesting varying levels of resilience in older people.
Collapse
|
42
|
Taddei RN, Sanchez-Mico MV, Bonnar O, Connors T, Gaona A, Denbow D, Frosch MP, Gómez-Isla T. Changes in glial cell phenotypes precede overt neurofibrillary tangle formation, correlate with markers of cortical cell damage, and predict cognitive status of individuals at Braak III-IV stages. Acta Neuropathol Commun 2022; 10:72. [PMID: 35534858 PMCID: PMC9082857 DOI: 10.1186/s40478-022-01370-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Accepted: 04/18/2022] [Indexed: 11/10/2022] Open
Abstract
Clinico-pathological correlation studies show that some otherwise healthy elderly individuals who never developed cognitive impairment harbor a burden of Alzheimer's disease lesions (plaques and tangles) that would be expected to result in dementia. In the absence of comorbidities explaining such discrepancies, there is a need to identify other brain changes that meaningfully contribute to the cognitive status of an individual in the face of such burdens of plaques and tangles. Glial inflammatory responses, a universal phenomenon in symptomatic AD, show robust association with degree of cognitive impairment, but their significance in early tau pathology stages and contribution to the trajectory of cognitive decline at an individual level remain widely unexplored. We studied 55 brains from individuals at intermediate stages of tau tangle pathology (Braak III-IV) with diverging antemortem cognition (demented vs. non-demented, here termed `resilient'), and age-matched cognitively normal controls (Braak 0-II). We conducted quantitative assessments of amyloid and tau lesions, cellular vulnerability markers, and glial phenotypes in temporal pole (Braak III-IV region) and visual cortex (Braak V-VI region) using artificial-intelligence based semiautomated quantifications. We found distinct glial responses with increased proinflammatory and decreased homeostatic markers, both in regions with tau tangles (temporal pole) and without overt tau deposits (visual cortex) in demented but not in resilient. These changes were significantly associated with markers of cortical cell damage. Similar phenotypic glial changes were detected in the white matter of demented but not resilient and were associated with higher burden of overlying cortical cellular damage in regions with and without tangles. Our data suggest that changes in glial phenotypes in cortical and subcortical regions represent an early phenomenon that precedes overt tau deposition and likely contributes to cell damage and loss of brain function predicting the cognitive status of individuals at intermediate stages of tau aggregate burden (Braak III-IV).
Collapse
Affiliation(s)
- Raquel N Taddei
- Department of Neurology, Massachusetts General Hospital, 15th Parkman St, Boston, MA, 02114, USA
- Massachusetts Alzheimer's Disease Research Center, Boston, MA, USA
- Department of Neurology, Dementia Research Institute, University College London, London, UK
| | - Maria V Sanchez-Mico
- Department of Neurology, Massachusetts General Hospital, 15th Parkman St, Boston, MA, 02114, USA
| | - Orla Bonnar
- Department of Neurology, Massachusetts General Hospital, 15th Parkman St, Boston, MA, 02114, USA
| | - Theresa Connors
- Massachusetts Alzheimer's Disease Research Center, Boston, MA, USA
- C.S. Kubik Laboratory for Neuropathology, Massachusetts General Hospital, Boston, MA, USA
| | - Angelica Gaona
- Massachusetts Alzheimer's Disease Research Center, Boston, MA, USA
- C.S. Kubik Laboratory for Neuropathology, Massachusetts General Hospital, Boston, MA, USA
| | - Dominique Denbow
- Department of Neurology, Massachusetts General Hospital, 15th Parkman St, Boston, MA, 02114, USA
| | - Matthew P Frosch
- Massachusetts Alzheimer's Disease Research Center, Boston, MA, USA
- C.S. Kubik Laboratory for Neuropathology, Massachusetts General Hospital, Boston, MA, USA
| | - Teresa Gómez-Isla
- Department of Neurology, Massachusetts General Hospital, 15th Parkman St, Boston, MA, 02114, USA.
- Massachusetts Alzheimer's Disease Research Center, Boston, MA, USA.
| |
Collapse
|
43
|
Abstract
Neurodegenerative diseases are a pathologically, clinically and genetically diverse group of disorders without effective disease-modifying therapies. Pathologically, these disorders are characterised by disease-specific protein aggregates in neurons and/or glia and referred to as proteinopathies. Many neurodegenerative diseases show pathological overlap with the same abnormally deposited protein occurring in anatomically distinct regions, which give rise to specific patterns of cognitive and motor clinical phenotypes. Sequential distribution patterns of protein inclusions throughout the brain have been described. Rather than occurring in isolation, it is increasingly recognised that combinations of one or more proteinopathies with or without cerebrovascular disease frequently occur in individuals with neurodegenerative diseases. In addition, complex constellations of ageing-related and incidental pathologies associated with tau, TDP-43, Aβ, α-synuclein deposition have been commonly reported in longitudinal ageing studies. This review provides an overview of current classification of neurodegenerative and age-related pathologies and presents the spectrum and complexity of mixed pathologies in community-based, longitudinal ageing studies, in major proteinopathies, and genetic conditions. Mixed pathologies are commonly reported in individuals >65 years with and without cognitive impairment; however, they are increasingly recognised in younger individuals (<65 years). Mixed pathologies are thought to lower the threshold for developing cognitive impairment and dementia. Hereditary neurodegenerative diseases also show a diverse range of mixed pathologies beyond the proteinopathy primarily linked to the genetic abnormality. Cases with mixed pathologies might show a different clinical course, which has prognostic relevance and obvious implications for biomarker and therapy development, and stratifying patients for clinical trials.
Collapse
|
44
|
Klotz S, Ricken G, Preusser M, Dieckmann K, Widhalm G, Rössler K, Fischer P, Kalev O, Wöhrer A, Kovacs GG, Gelpi E. Enhanced expression of autophagy-related p62 without increased deposits of neurodegeneration-associated proteins in glioblastoma and surrounding tissue - An autopsy-based study. Brain Pathol 2022; 32:e13058. [PMID: 35229396 PMCID: PMC9425004 DOI: 10.1111/bpa.13058] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Revised: 01/17/2022] [Accepted: 02/14/2022] [Indexed: 11/27/2022] Open
Abstract
Neurodegenerative diseases are a major health burden. The underlying causes are not yet fully understood, but different mechanisms such as cell stress and chronic inflammation have been described as contributing factors. Neurodegenerative changes have been observed in the vicinity of brain tumors, typically around slowly growing benign lesions. Moreover, in‐vitro data suggest a potential induction of pathological tau deposits also in glioblastoma, a highly malignant and proliferative brain cancer. The aim of this study was to evaluate neurodegeneration‐associated protein deposition and autophagy as well as microglial activation within and surrounding glioblastoma. Post‐mortem brain tissue of 22 patients with glioblastoma was evaluated immunohistochemically for phosphorylated tau, beta‐amyloid, alpha‐synuclein and phosphorylated TDP‐43. Additionally, the autophagy marker p62 and the microglial marker HLA‐DR were investigated. The data was compared to 22 control cases and ten cases with other space occupying brain lesions. An increase of p62‐immunoreactivity was observed within and adjacent to the glioblastoma tumor tissue. Moreover, dense microglial infiltration in the tumor tissue and the immediate surrounding brain tissue was a constant feature. Deposition of neurodegeneration‐associated proteins was found in the majority of cases (86.4%) but in distant sites. These findings suggested a preexisting neurodegenerative pathology, which followed a typical distributional pattern: ten cases with Alzheimer disease neuropathological changes, including two severe cases, eight cases with primary age‐related tauopathy, six cases with aging‐related tau astrogliopathy and one case with progressive supranuclear palsy. Collectively, our data suggests enhanced autophagy in glioblastoma tumor cells and the surrounding brain. The variety and distribution of distant neurodegeneration‐associated protein aggregates observed in the majority of cases, suggest a preexisting rather than a tumor‐induced neurodegenerative condition.
Collapse
Affiliation(s)
- Sigrid Klotz
- Division of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, Vienna, Austria.,Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Gerda Ricken
- Division of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Matthias Preusser
- Division of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, Austria
| | - Karin Dieckmann
- Department of Radiation Oncology, Medical University of Vienna, Vienna, Austria
| | - Georg Widhalm
- Department of Neurosurgery, Medical University of Vienna, Vienna, Austria
| | - Karl Rössler
- Department of Neurosurgery, Medical University of Vienna, Vienna, Austria
| | - Peter Fischer
- Medical Research Society Vienna D.C., Head of Department of Psychiatry, Danube Hospital, Vienna, Austria
| | - Ognian Kalev
- Department of Neuropathology, Kepler University Hospital, Linz, Austria
| | - Adelheid Wöhrer
- Division of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Gabor G Kovacs
- Tanz Centre for Research in Neurodegenerative Disease, University of Toronto, Toronto, Ontario, Canada.,Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada.,Department of Medicine, University of Toronto, Toronto, Ontario, Canada.,Laboratory Medicine Program & Krembil Brain Institute, University Health Network, Toronto, Ontario, Canada
| | - Ellen Gelpi
- Division of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, Vienna, Austria.,Department of Neurology, Medical University of Vienna, Vienna, Austria
| |
Collapse
|
45
|
Walker JM, Kazempour Dehkordi S, Fracassi A, Vanschoiack A, Pavenko A, Taglialatela G, Woltjer R, Richardson TE, Zare H, Orr ME. Differential protein expression in the hippocampi of resilient individuals identified by digital spatial profiling. Acta Neuropathol Commun 2022; 10:23. [PMID: 35164877 PMCID: PMC8842950 DOI: 10.1186/s40478-022-01324-9] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Accepted: 01/30/2022] [Indexed: 02/04/2023] Open
Abstract
Clinical symptoms correlate with underlying neurodegenerative changes in the vast majority of people. However, an intriguing group of individuals demonstrate neuropathologic changes consistent with Alzheimer disease (AD) yet remain cognitively normal (termed "resilient"). Previous studies have reported less overall neuronal loss, less gliosis, and fewer comorbidities in these individuals. Herein, NanoString GeoMx™ Digital Spatial Profiler (DSP) technology was utilized to investigate protein expression differences comparing individuals with dementia and AD neuropathologic change to resilient individuals. DSP allows for spatial analysis of protein expression in multiple regions of interest (ROIs) on formalin-fixed paraffin-embedded sections. ROIs in this analysis were hippocampal neurofibrillary tangle (NFT)-bearing neurons, non-NFT-bearing neurons, and their immediate neuronal microenvironments. Analyses of 86 proteins associated with CNS cell-typing or known neurodegenerative changes in 168 ROIs from 14 individuals identified 11 proteins displaying differential expression in NFT-bearing neurons of the resilient when compared to the demented (including APP, IDH1, CD68, GFAP, SYP and Histone H3). In addition, IDH1, CD68, and SYP were differentially expressed in the environment of NFT-bearing neurons when comparing resilient to demented. IDH1 (which is upregulated under energetic and oxidative stress) and PINK1 (which is upregulated in response to mitochondrial dysfunction and oxidative stress) both displayed lower expression in the environment of NFT-bearing neurons in the resilient. Therefore, the resilient display less evidence of energetic and oxidative stress. Synaptophysin (SYP) was increased in the resilient, which likely indicates better maintenance of synapses and synaptic connections. Furthermore, neurofilament light chain (NEFL) and ubiquitin c-terminal hydrolase (Park5) were higher in the resilient in the environment of NFTs. These differences all suggest healthier intact axons, dendrites and synapses in the resilient. In conclusion, resilient individuals display protein expression patterns suggestive of an environment containing less energetic and oxidative stress, which in turn results in maintenance of neurons and their synaptic connections.
Collapse
Affiliation(s)
- Jamie M. Walker
- Department of Pathology and Laboratory Medicine, University of Texas Health Science Center, San Antonio, TX USA
- Department of Pathology, Glenn Biggs Institute for Alzheimer’s & Neurodegenerative Diseases, University of Texas Health Science Center, 7703 Floyd Curl Dr., MC 8070, San Antonio, TX 78229-3900 USA
| | - Shiva Kazempour Dehkordi
- Department of Pathology, Glenn Biggs Institute for Alzheimer’s & Neurodegenerative Diseases, University of Texas Health Science Center, 7703 Floyd Curl Dr., MC 8070, San Antonio, TX 78229-3900 USA
- Department of Cell Systems and Anatomy, University of Texas Health San Antonio, San Antonio, TX USA
| | - Anna Fracassi
- Mitchell Center for Neurodegenerative Diseases, Department of Neurology, UTMB, Galveston, TX USA
| | | | | | - Giulio Taglialatela
- Mitchell Center for Neurodegenerative Diseases, Department of Neurology, UTMB, Galveston, TX USA
| | - Randall Woltjer
- Department of Pathology & Laboratory Medicine, Oregon Health and Science University, Portland, OR USA
| | - Timothy E. Richardson
- Department of Pathology and Laboratory Medicine, University of Texas Health Science Center, San Antonio, TX USA
- Department of Pathology, Glenn Biggs Institute for Alzheimer’s & Neurodegenerative Diseases, University of Texas Health Science Center, 7703 Floyd Curl Dr., MC 8070, San Antonio, TX 78229-3900 USA
| | - Habil Zare
- Department of Pathology, Glenn Biggs Institute for Alzheimer’s & Neurodegenerative Diseases, University of Texas Health Science Center, 7703 Floyd Curl Dr., MC 8070, San Antonio, TX 78229-3900 USA
- Department of Cell Systems and Anatomy, University of Texas Health San Antonio, San Antonio, TX USA
| | - Miranda E. Orr
- Section of Gerontology and Geriatric Medicine, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27157 USA
- Sticht Center for Healthy Aging and Alzheimer’s Prevention, Wake Forest School of Medicine, Winston-Salem, NC 27157 USA
- Salisbury VA Medical Center, Salisbury, NC 28144 USA
- Department of Internal Medicine, Wake Forest School of Medicine, 575 Patterson Ave, Winston-Salem, NC 27101 USA
| |
Collapse
|
46
|
Duara R, Barker W. Heterogeneity in Alzheimer's Disease Diagnosis and Progression Rates: Implications for Therapeutic Trials. Neurotherapeutics 2022; 19:8-25. [PMID: 35084721 PMCID: PMC9130395 DOI: 10.1007/s13311-022-01185-z] [Citation(s) in RCA: 61] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/05/2022] [Indexed: 01/03/2023] Open
Abstract
The clinical presentation and the pathological processes underlying Alzheimer's disease (AD) can be very heterogeneous in severity, location, and composition including the amount and distribution of AB deposition and spread of neurofibrillary tangles in different brain regions resulting in atypical clinical patterns and the existence of distinct AD variants. Heterogeneity in AD may be related to demographic factors (such as age, sex, educational and socioeconomic level) and genetic factors, which influence underlying pathology, the cognitive and behavioral phenotype, rate of progression, the occurrence of neuropsychiatric features, and the presence of comorbidities (e.g., vascular disease, neuroinflammation). Heterogeneity is also manifest in the individual resilience to the development of neuropathology (brain reserve) and the ability to compensate for its cognitive and functional impact (cognitive and functional reserve). The variability in specific cognitive profiles and types of functional impairment may be associated with different progression rates, and standard measures assessing progression may not be equivalent for individual cognitive and functional profiles. Other factors, which may govern the presence, rate, and type of progression of AD, include the individuals' general medical health, the presence of specific systemic conditions, and lifestyle factors, including physical exercise, cognitive and social stimulation, amount of leisure activities, environmental stressors, such as toxins and pollution, and the effects of medications used to treat medical and behavioral conditions. These factors that affect progression are important to consider while designing a clinical trial to ensure, as far as possible, well-balanced treatment and control groups.
Collapse
Affiliation(s)
- Ranjan Duara
- Wien Center for Alzheimer's Disease and Memory Disorders, Mount Sinai Medical Center, Miami Beach, FL, USA
- Departments of Neurology, University of Florida College of Medicine, Gainesville, FL, USA
- Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA
| | - Warren Barker
- Wien Center for Alzheimer's Disease and Memory Disorders, Mount Sinai Medical Center, Miami Beach, FL, USA.
| |
Collapse
|
47
|
Libard S, Giedraitis V, Kilander L, Ingelsson M, Alafuzoff I. Mixed Pathologies in a Subject with a Novel PSEN1 G206R Mutation. J Alzheimers Dis 2022; 90:1601-1614. [PMID: 36314207 PMCID: PMC9789486 DOI: 10.3233/jad-220655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/19/2022] [Indexed: 11/06/2022]
Abstract
BACKGROUND There are more than 300 presenilin-1 (PSEN1) mutations identified but a thorough postmortem neuropathological assessment of the mutation carriers is seldom performed. OBJECTIVE To assess neuropathological changes (NC) in a 73-year-old subject with the novel PSEN1 G206R mutation suffering from cognitive decline in over 20 years. To compare these findings with an age- and gender-matched subject with sporadic Alzheimer's disease (sAD). METHODS The brains were assessed macro- and microscopically and the proteinopathies were staged according to current recommendations. RESULTS The AD neuropathological change (ADNC) was more extensive in the mutation carrier, although both individuals reached a high level of ADNC. The transactive DNA binding protein 43 pathology was at the end-stage in the index subject, a finding not previously described in familial AD. This pathology was moderate in the sAD subject. The PSEN1 G206R subject displayed full-blown alpha-synuclein pathology, while this proteinopathy was absent in the sAD case. Additionally, the mutation carrier displayed pronounced neuroinflammation, not previously described in association with PSEN1 mutations. CONCLUSION Our findings are exceptional, as the PSEN1 G206R subject displayed an end-stage pathology of every common proteinopathy. It is unclear whether the observed alterations are caused by the mutation or are related to a cross-seeding mechanisms. The pronounced neuroinflammation in the index patient can be reactive to the extensive NC or a contributing factor to the proteinopathies. Thorough postmortem neuropathological and genetic assessment of subjects with familial AD is warranted, for further understanding of a dementing illness.
Collapse
Affiliation(s)
- Sylwia Libard
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
- Department of Surgical Pathology, Uppsala University Hospital, Uppsala, Sweden
| | - Vilmantas Giedraitis
- Department of Public Health and Caring Sciences/Geriatrics, Uppsala University, Uppsala, Sweden
| | - Lena Kilander
- Department of Public Health and Caring Sciences/Geriatrics, Uppsala University, Uppsala, Sweden
| | - Martin Ingelsson
- Department of Public Health and Caring Sciences/Geriatrics, Uppsala University, Uppsala, Sweden
- Krembil Brain Institute, University Health Network, Toronto, ON, Canada
- Department of Medicine and Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, ON, Canada
| | - Irina Alafuzoff
- Department of Surgical Pathology, Uppsala University Hospital, Uppsala, Sweden
| |
Collapse
|
48
|
Savola S, Kaivola K, Raunio A, Kero M, Mäkelä M, Pärn K, Palta P, Tanskanen M, Tuimala J, Polvikoski T, Tienari PJ, Paetau A, Myllykangas L. Primary Age‐Related Tauopathy (PART) in a Finnish Population‐Based Study of the Oldest Old (Vantaa 85+). Neuropathol Appl Neurobiol 2021; 48:e12788. [PMID: 34927275 PMCID: PMC9305229 DOI: 10.1111/nan.12788] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Revised: 11/16/2021] [Accepted: 12/12/2021] [Indexed: 11/26/2022]
Abstract
Aims Few studies have investigated primary age‐related tauopathy (PART) in a population‐based setting. Here, we assessed its prevalence, genetic background, comorbidities and features of cognitive decline in an unselected elderly population. Methods The population‐based Vantaa 85+ study includes all 601 inhabitants of Vantaa aged ≥ 85 years in 1991. Neuropathological assessment was possible in 301. Dementia (DSM IIIR criteria) and Mini‐Mental State Examination (MMSE) scores were assessed at the baseline of the study and follow‐ups. PART subjects were identified according to the criteria by Crary et al and were compared with subjects with mild and severe Alzheimer's disease (AD) neuropathological changes. The effects of other neuropathologies were taken into account using multivariate and sensitivity assays. Genetic analyses included APOE genotypes and 29 polymorphisms of the MAPT 3′ untranslated region (3′UTR region). Results The frequency of PART was 20% (n = 61/301, definite PART 5%). When PART subjects were compared with those with severe AD pathology, dementia was less common, its age at onset was higher and duration shorter. No such differences were seen when compared with those with milder AD pathology. However, both AD groups showed a steeper decline in MMSE scores in follow‐ups compared with PART. APOE ε4 frequency was lower, and APOE ε2 frequency higher in the PART group compared with each AD group. The detected nominally significant associations between PART and two MAPT 3′UTR polymorphisms and haplotypes did not survive Bonferroni correction. Conclusions PART is common among very elderly. PART subjects differ from individuals with AD‐type changes in the pattern of cognitive decline, associated genetic and neuropathological features.
Collapse
Affiliation(s)
- Sara Savola
- Department of Pathology University of Helsinki Helsinki Finland
- Department of Pathology, HUS Diagnostic Center Helsinki University Hospital Helsinki Finland
| | - Karri Kaivola
- Translational Immunology, Research Programs Unit University of Helsinki Helsinki Finland
- Department of Neurology University of Helsinki and Helsinki University Hospital Helsinki Finland
| | - Anna Raunio
- Department of Pathology University of Helsinki Helsinki Finland
- Department of Pathology, HUS Diagnostic Center Helsinki University Hospital Helsinki Finland
| | - Mia Kero
- Department of Pathology University of Helsinki Helsinki Finland
- Department of Pathology, HUS Diagnostic Center Helsinki University Hospital Helsinki Finland
| | - Mira Mäkelä
- Department of Pathology University of Helsinki Helsinki Finland
- Department of Pathology, HUS Diagnostic Center Helsinki University Hospital Helsinki Finland
| | - Kalle Pärn
- Institute for Molecular Medicine Finland (FIMM), HiLIFE University of Helsinki Helsinki Finland
| | - Priit Palta
- Institute for Molecular Medicine Finland (FIMM), HiLIFE University of Helsinki Helsinki Finland
| | - Maarit Tanskanen
- Department of Pathology University of Helsinki Helsinki Finland
- Department of Pathology, HUS Diagnostic Center Helsinki University Hospital Helsinki Finland
| | - Jarno Tuimala
- Department of Pathology University of Helsinki Helsinki Finland
| | - Tuomo Polvikoski
- Translational and Clinical Research Institute Newcastle University Newcastle upon Tyne United Kingdom
| | - Pentti J. Tienari
- Translational Immunology, Research Programs Unit University of Helsinki Helsinki Finland
- Department of Neurology University of Helsinki and Helsinki University Hospital Helsinki Finland
| | - Anders Paetau
- Department of Pathology University of Helsinki Helsinki Finland
- Department of Pathology, HUS Diagnostic Center Helsinki University Hospital Helsinki Finland
| | - Liisa Myllykangas
- Department of Pathology University of Helsinki Helsinki Finland
- Department of Pathology, HUS Diagnostic Center Helsinki University Hospital Helsinki Finland
| |
Collapse
|
49
|
Mayà G, Sarto J, Compta Y, Balasa M, Ximelis T, Aldecoa I, Gelpi E, Sánchez-Valle R, Molina-Porcel L. Assessment of Cognitive Symptoms in Brain Bank-Registered Control Subjects: Feasibility and Utility of a Telephone-Based Screening. J Alzheimers Dis 2021; 85:1107-1113. [DOI: 10.3233/jad-215444] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background: For neuroscience research, the study of brain tissue of neurologically unimpaired subjects is crucial to interpret findings in neurodegenerative diseases. Sub-optimal neurological follow-up and the presence of neuropathological lesions in supposedly asymptomatic subjects casts doubt as to whether these subjects present an undetected underlying neurodegenerative disease or are resilient to neurodegeneration. Objective: We aimed to assess whether the control donors registered in the Neurological Tissue Bank-Hospital Clínic-IDIBAPS (NTB-HCI) are still free of cognitive symptoms at follow-up and to evaluate the feasibility and utility of a telephone-based screening. Methods: All control subjects older than 65 years registered at the NTB-HCI database were selected for the study. After a structured telephone interview, those subjects already diagnosed with a neurological disease were excluded. Then, a cognitive screening was performed, including the telephone version of the Mini-Mental State Examination (t-MMSE) and the eight-item interview (AD-8) to the subject and to one informant. Results: In total, 73.8% of the registered donors collaborated in the study. Only 21.4% had at least one of the three cognitive screening tools impaired, and 2.7% had a profile highly suggestive of cognitive impairment. AD-8i correlated moderately with t-MMSE. Conclusion: Telephone-based neurologic screening in control donors is feasible and was within the normal range in most of the subjects in our cohort. Albeit, the involvement of neurologists and periodic neurological screenings are desirable in a control subjects brain donor program, AD8-i could be used to screen the control’s neurological status in the absence of accurate clinical data at the time of the death.
Collapse
Affiliation(s)
- Gerard Mayà
- Neurology Service-ICN, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Jordi Sarto
- Neurology Service-ICN, Hospital Clínic de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas(CIBERNED)
| | - Yaroslau Compta
- Neurology Service-ICN, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Mircea Balasa
- Neurology Service-ICN, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Teresa Ximelis
- Neurological TissueBank of the Biobank-IDIBAPS-Hospital Clínic, Barcelona, Spain
| | - Iban Aldecoa
- Neurological TissueBank of the Biobank-IDIBAPS-Hospital Clínic, Barcelona, Spain
- Pathology Service-CDB, Hospital Clínic de Barcelona, University of Barcelona, Spain
| | - Ellen Gelpi
- Neurological TissueBank of the Biobank-IDIBAPS-Hospital Clínic, Barcelona, Spain
- Department of Neurology, Division of Neuropathology and Neurochemistry, Medical University of Vienna, Vienna, Austria
| | - Raquel Sánchez-Valle
- Neurology Service-ICN, Hospital Clínic de Barcelona, Barcelona, Spain
- Neurological TissueBank of the Biobank-IDIBAPS-Hospital Clínic, Barcelona, Spain
| | - Laura Molina-Porcel
- Neurology Service-ICN, Hospital Clínic de Barcelona, Barcelona, Spain
- Neurological TissueBank of the Biobank-IDIBAPS-Hospital Clínic, Barcelona, Spain
| |
Collapse
|
50
|
Low soluble amyloid-β 42 is associated with smaller brain volume in Parkinson's disease. Parkinsonism Relat Disord 2021; 92:15-21. [PMID: 34656902 DOI: 10.1016/j.parkreldis.2021.10.010] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Revised: 09/19/2021] [Accepted: 10/10/2021] [Indexed: 12/21/2022]
Abstract
INTRODUCTION We sought to examine whether levels of soluble alpha-synuclein (α-syn), amyloid-beta (Aβ42), phosphorylated tau (p-tau), and total tau (t-tau), as measured in cerebrospinal fluid (CSF), are associated with changes in brain volume in Parkinson's disease. METHODS We assessed the 4-year change in total brain volume (n = 99) and baseline CSF α-syn, Aβ42, p-tau, and t-tau of Parkinson Progression Markers Initiative participants. We used linear mixed models to assess the longitudinal effect of baseline CSF biomarkers on total and regional brain volume and thickness as well as linear regression for cross-sectional analyses at baseline and year 2. All models were adjusted for age and gender; brain volume models also adjusted for baseline intracranial volume. Bonferroni correction was applied. RESULTS The 4-year change in total brain volume was -21.2 mm3 (95% confidence interval, -26.1, -16.3). There were no significant associations between the 4-year change in total brain volume and baseline levels of any CSF biomarker (all p-values > 0.05). On cross-sectional analyses, CSF Aβ42 was linearly associated with total brain volume at baseline (R2 = 0.60, p = 0.0004) and at year 2 (R2 = 0.66, p < 0.0001), with CSF Aβ42 < 1100 pg/ml, the threshold for brain amyloid pathology, associated with smaller total brain volume at baseline (p = 0.0010) and at year 2 (p = 0.0002). CSF α-syn was linearly associated with total brain volume at baseline (R2 = 0.58, p = 0.0044) but not at year 2 (R2 = 0.58, p = 0.1342). CONCLUSION Reduction in soluble Aβ42 is associated with lower total brain volume in Parkinson's disease.
Collapse
|