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Alafuzoff I, Libard S. Ageing-Related Neurodegeneration and Cognitive Decline. Int J Mol Sci 2024; 25:4065. [PMID: 38612875 PMCID: PMC11012171 DOI: 10.3390/ijms25074065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Revised: 03/27/2024] [Accepted: 04/03/2024] [Indexed: 04/14/2024] Open
Abstract
Neuropathological assessment was conducted on 1630 subjects, representing 5% of all the deceased that had been sent to the morgue of Uppsala University Hospital during a 15-year-long period. Among the 1630 subjects, 1610 were ≥41 years of age (range 41 to 102 years). Overall, hyperphosphorylated (HP) τ was observed in the brains of 98% of the 1610 subjects, and amyloid β-protein (Aβ) in the brains of 64%. The most common alteration observed was Alzheimer disease neuropathologic change (ADNC) (56%), followed by primary age-related tauopathy (PART) in 26% of the subjects. In 16% of the subjects, HPτ was limited to the locus coeruleus. In 14 subjects (<1%), no altered proteins were observed. In 3 subjects, only Aβ was observed, and in 17, HPτ was observed in a distribution other than that seen in ADNC/PART. The transactive DNA-binding protein 43 (TDP43) associated with limbic-predominant age-related TDP encephalopathy (LATE) was observed in 565 (35%) subjects and α-synuclein (αS) pathology, i.e., Lewy body disease (LBD) or multi system atrophy (MSA) was observed in the brains of 21% of the subjects. A total of 39% of subjects with ADNC, 59% of subjects with PART, and 81% of subjects with HPτ limited to the locus coeruleus lacked concomitant pathologies, i.e., LATE-NC or LBD-NC. Of the 293 (18% of the 1610 subjects) subjects with dementia, 81% exhibited a high or intermediate level of ADNC. In 84% of all individuals with dementia, various degrees of concomitant alterations were observed; i.e., MIXED-NC was a common cause of dementia. A high or intermediate level of PART was observed in 10 subjects with dementia (3%), i.e., tangle-predominant dementia. No subjects exhibited only vascular NC (VNC), but in 17 subjects, severe VNC might have contributed to cognitive decline. Age-related tau astrogliopathy (ARTAG) was observed in 37% of the 1610 subjects and in 53% of those with dementia.
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Affiliation(s)
- Irina Alafuzoff
- Department of Pathology, Uppsala University Hospital, 751 85 Uppsala, Sweden;
- Department of Immunology, Genetics and Pathology, Uppsala University, 751 05 Uppsala, Sweden
| | - Sylwia Libard
- Department of Pathology, Uppsala University Hospital, 751 85 Uppsala, Sweden;
- Department of Immunology, Genetics and Pathology, Uppsala University, 751 05 Uppsala, Sweden
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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.
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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.
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Teixeira LCR, Mamede I, Luizon MR, Gomes KB. Role of long non-coding RNAs in the pathophysiology of Alzheimer's disease and other dementias. Mol Biol Rep 2024; 51:270. [PMID: 38302810 DOI: 10.1007/s11033-023-09178-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2023] [Accepted: 12/18/2023] [Indexed: 02/03/2024]
Abstract
Dementia is the term used to describe a group of cognitive disorders characterized by a decline in memory, thinking, and reasoning abilities that interfere with daily life activities. Examples of dementia include Alzheimer's Disease (AD), Frontotemporal dementia (FTD), Amyotrophic lateral sclerosis (ALS), Vascular dementia (VaD) and Progressive supranuclear palsy (PSP). AD is the most common form of dementia. The hallmark pathology of AD includes formation of β-amyloid (Aβ) oligomers and tau hyperphosphorylation in the brain, which induces neuroinflammation, oxidative stress, synaptic dysfunction, and neuronal apoptosis. Emerging studies have associated long non-coding RNAs (lncRNAs) with the pathogenesis and progression of the neurodegenerative diseases. LncRNAs are defined as RNAs longer than 200 nucleotides that lack the ability to encode functional proteins. LncRNAs play crucial roles in numerous biological functions for their ability to interact with different molecules, such as proteins and microRNAs, and subsequently regulate the expression of their target genes at transcriptional and post-transcriptional levels. In this narrative review, we report the function and mechanisms of action of lncRNAs found to be deregulated in different types of dementia, with the focus on AD. Finally, we discuss the emerging role of lncRNAs as biomarkers of dementias.
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Affiliation(s)
- Lívia Cristina Ribeiro Teixeira
- Department of Clinical and Toxicological Analysis, Faculty of Pharmacy, Federal University of Minas Gerais, Antônio Carlos Avenue, 6627, Pampulha, Belo Horizonte, Minas Gerais, 31270-901, Brazil
| | - Izabela Mamede
- Department of Biochemistry and Immunology, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Marcelo Rizzatti Luizon
- Department of Genetics, Ecology and Evolution, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Karina Braga Gomes
- Department of Clinical and Toxicological Analysis, Faculty of Pharmacy, Federal University of Minas Gerais, Antônio Carlos Avenue, 6627, Pampulha, Belo Horizonte, Minas Gerais, 31270-901, Brazil.
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Bermejo-Pareja F, del Ser T. Controversial Past, Splendid Present, Unpredictable Future: A Brief Review of Alzheimer Disease History. J Clin Med 2024; 13:536. [PMID: 38256670 PMCID: PMC10816332 DOI: 10.3390/jcm13020536] [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: 10/12/2023] [Revised: 12/29/2023] [Accepted: 01/04/2024] [Indexed: 01/24/2024] Open
Abstract
Background: The concept of Alzheimer disease (AD)-since its histological discovery by Alzheimer to the present day-has undergone substantial modifications. Methods: We conducted a classical narrative review of this field with a bibliography selection (giving preference to Medline best match). Results: The following subjects are reviewed and discussed: Alzheimer's discovery, Kraepelin's creation of a new disease that was a rare condition until the 1970's, the growing interest and investment in AD as a major killer in a society with a large elderly population in the second half of the 20th century, the consolidation of the AD clinicopathological model, and the modern AD nosology based on the dominant amyloid hypothesis among many others. In the 21st century, the development of AD biomarkers has supported a novel biological definition of AD, although the proposed therapies have failed to cure this disease. The incidence of dementia/AD has shown a decrease in affluent countries (possibly due to control of risk factors), and mixed dementia has been established as the most frequent etiology in the oldest old. Conclusions: The current concept of AD lacks unanimity. Many hypotheses attempt to explain its complex physiopathology entwined with aging, and the dominant amyloid cascade has yielded poor therapeutic results. The reduction in the incidence of dementia/AD appears promising but it should be confirmed in the future. A reevaluation of the AD concept is also necessary.
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Affiliation(s)
- Félix Bermejo-Pareja
- CIBERNED, Institute of Health Carlos III, 28029 Madrid, Spain
- Institute of Research i+12, University Hospital “12 de Octubre”, 28041 Madrid, Spain
| | - Teodoro del Ser
- Alzheimer’s Centre Reina Sofia—CIEN Foundation, Institute of Health Carlos III, 28031 Madrid, Spain;
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Silva-Rodríguez J, Labrador-Espinosa MA, Moscoso A, Schöll M, Mir P, Grothe MJ. Characteristics of amnestic patients with hypometabolism patterns suggestive of Lewy body pathology. Brain 2023; 146:4520-4531. [PMID: 37284793 PMCID: PMC10629761 DOI: 10.1093/brain/awad194] [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: 01/25/2023] [Revised: 04/27/2023] [Accepted: 05/16/2023] [Indexed: 06/08/2023] Open
Abstract
A clinical diagnosis of Alzheimer's disease dementia (ADD) encompasses considerable pathological and clinical heterogeneity. While Alzheimer's disease patients typically show a characteristic temporo-parietal pattern of glucose hypometabolism on 18F-fluorodeoxyglucose (FDG)-PET imaging, previous studies have identified a subset of patients showing a distinct posterior-occipital hypometabolism pattern associated with Lewy body pathology. Here, we aimed to improve the understanding of the clinical relevance of these posterior-occipital FDG-PET patterns in patients with Alzheimer's disease-like amnestic presentations. Our study included 1214 patients with clinical diagnoses of ADD (n = 305) or amnestic mild cognitive impairment (aMCI, n = 909) from the Alzheimer's Disease Neuroimaging Initiative, who had FDG-PET scans available. Individual FDG-PET scans were classified as being suggestive of Alzheimer's (AD-like) or Lewy body (LB-like) pathology by using a logistic regression classifier trained on a separate set of patients with autopsy-confirmed Alzheimer's disease or Lewy body pathology. AD- and LB-like subgroups were compared on amyloid-β and tau-PET, domain-specific cognitive profiles (memory versus executive function performance), as well as the presence of hallucinations and their evolution over follow-up (≈6 years for aMCI, ≈3 years for ADD). Around 12% of the aMCI and ADD patients were classified as LB-like. For both aMCI and ADD patients, the LB-like group showed significantly lower regional tau-PET burden than the AD-like subgroup, but amyloid-β load was only significantly lower in the aMCI LB-like subgroup. LB- and AD-like subgroups did not significantly differ in global cognition (aMCI: d = 0.15, P = 0.16; ADD: d = 0.02, P = 0.90), but LB-like patients exhibited a more dysexecutive cognitive profile relative to the memory deficit (aMCI: d = 0.35, P = 0.01; ADD: d = 0.85 P < 0.001), and had a significantly higher risk of developing hallucinations over follow-up [aMCI: hazard ratio = 1.8, 95% confidence interval = (1.29, 3.04), P = 0.02; ADD: hazard ratio = 2.2, 95% confidence interval = (1.53, 4.06) P = 0.01]. In summary, a sizeable group of clinically diagnosed ADD and aMCI patients exhibit posterior-occipital FDG-PET patterns typically associated with Lewy body pathology, and these also show less abnormal Alzheimer's disease biomarkers as well as specific clinical features typically associated with dementia with Lewy bodies.
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Affiliation(s)
- Jesús Silva-Rodríguez
- 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, 41013 Sevilla, Spain
| | - Miguel A Labrador-Espinosa
- 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, 41013 Sevilla, Spain
- Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), 28029 Madrid, Spain
| | - Alexis Moscoso
- Wallenberg Center for Molecular and Translational Medicine and Department of Psychiatry and Neurochemistry, University of Gothenburg, 41345 Gothenburg, Sweden
| | - Michael Schöll
- Wallenberg Center for Molecular and Translational Medicine and Department of Psychiatry and Neurochemistry, University of Gothenburg, 41345 Gothenburg, Sweden
- Dementia Research Centre, Queen Square Institute of Neurology, University College London, WC1ELondon, UK
| | - Pablo Mir
- 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, 41013 Sevilla, Spain
- Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), 28029 Madrid, Spain
- Departamento de Medicina, Facultad de Medicina, Universidad de Sevilla, 41009 Sevilla, Spain
| | - 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, 41013 Sevilla, Spain
- Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), 28029 Madrid, Spain
- Wallenberg Center for Molecular and Translational Medicine and Department of Psychiatry and Neurochemistry, University of Gothenburg, 41345 Gothenburg, Sweden
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Caprihan A, Hillmer L, Erhardt EB, Adair JC, Knoefel JE, Prestopnik J, Rosenberg GA. A trichotomy method for defining homogeneous subgroups in a dementia population. Ann Clin Transl Neurol 2023; 10:1802-1815. [PMID: 37602520 PMCID: PMC10578887 DOI: 10.1002/acn3.51869] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 07/11/2023] [Accepted: 07/22/2023] [Indexed: 08/22/2023] Open
Abstract
INTRODUCTION Diagnosis of dementia in the aging brain is confounded by the presence of multiple pathologies. Mixed dementia (MX), a combination of Alzheimer's disease (AD) proteins with vascular disease (VD), is frequently found at autopsy, and has been difficult to diagnose during life. This report develops a method for separating the MX group and defining preclinical AD (presence of AD factors with normal cognition) and preclinical VD subgroups (presence of white matter damage with normal cognition). METHODS Clustering was based on three diagnostic axes: (1) AD factor (ADF) derived from cerebrospinal fluid proteins (Aβ42 and pTau), (2) VD factor (VDF) calculated from mean free water and peak width of skeletonized mean diffusivity in the white matter, and (3) Cognition (Cog) based on memory and executive function. The trichotomy method was applied to an Alzheimer's Disease Neuroimaging Initiative cohort (N = 538). RESULTS Eight biologically defined subgroups were identified which included the MX group with both high ADF and VDF (9.3%) and a preclinical VD group (3.9%), and a preclinical AD group (13.6%). Cog is significantly associated with both ADF and VDF, and the partial-correlation remains significant even when the effect of the other variable is removed (r(Cog, ADF/VDF removed) = 0.46, p < 10-28 and r(Cog, VDF/ADF removed) = 0.24, p < 10-7 ). DISCUSSION The trichotomy method creates eight biologically characterized patient groups, which includes MX, preclinical AD, and preclinical VD subgroups. Further longitudinal studies are needed to determine the utility of the 3-way clustering method with multimodal biological biomarkers.
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Affiliation(s)
| | - Laura Hillmer
- Center for Memory and AgingUniversity of New Mexico School of MedicineAlbuquerqueNew Mexico87106USA
| | - Erik Barry Erhardt
- Departments of Mathematics and StatisticsUniversity of New Mexico College of Arts and SciencesAlbuquerqueNew Mexico87106USA
| | - John C. Adair
- Center for Memory and AgingUniversity of New Mexico School of MedicineAlbuquerqueNew Mexico87106USA
- Department of NeurologyUniversity of New MexicoAlbuquerqueNew Mexico87106USA
| | - Janice E. Knoefel
- Center for Memory and AgingUniversity of New Mexico School of MedicineAlbuquerqueNew Mexico87106USA
- Department of NeurologyUniversity of New MexicoAlbuquerqueNew Mexico87106USA
| | - Jillian Prestopnik
- Center for Memory and AgingUniversity of New Mexico School of MedicineAlbuquerqueNew Mexico87106USA
| | - Gary A. Rosenberg
- Center for Memory and AgingUniversity of New Mexico School of MedicineAlbuquerqueNew Mexico87106USA
- Department of NeurologyUniversity of New MexicoAlbuquerqueNew Mexico87106USA
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Aborode AT, Karra-Aly A, Ogunleye SC, Olorunshola MM, Folorunso TN, Aloba CO, Ogunware AE. Overcoming hurdles: Enhancing post-mortem capabilities for neurological investigations in Africa. AGING BRAIN 2023; 4:100099. [PMID: 37809277 PMCID: PMC10556755 DOI: 10.1016/j.nbas.2023.100099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 09/23/2023] [Accepted: 09/25/2023] [Indexed: 10/10/2023] Open
Affiliation(s)
| | - Ayah Karra-Aly
- Schulich School of Medicine and Dentistry, University of Western Ontario, London, Ontario, Canada
| | - Seto Charles Ogunleye
- Department of Comparative Biomedical Sciences, College of Veterinary Medicine, Mississippi State University, 39760 MS, USA
| | | | | | | | - Adedayo Emmanuel Ogunware
- Department of Neuroscience, Development and Regenerative Biology, The University of Texas at San Antonio, TX, USA
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MicroRNAs and MAPKs: Evidence of These Molecular Interactions in Alzheimer's Disease. Int J Mol Sci 2023; 24:ijms24054736. [PMID: 36902178 PMCID: PMC10003111 DOI: 10.3390/ijms24054736] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 02/24/2023] [Accepted: 02/27/2023] [Indexed: 03/06/2023] Open
Abstract
Alzheimer's disease (AD) is a neurodegenerative disorder known to be the leading cause of dementia worldwide. Many microRNAs (miRNAs) were found deregulated in the brain or blood of AD patients, suggesting a possible key role in different stages of neurodegeneration. In particular, mitogen-activated protein kinases (MAPK) signaling can be impaired by miRNA dysregulation during AD. Indeed, the aberrant MAPK pathway may facilitate the development of amyloid-beta (Aβ) and Tau pathology, oxidative stress, neuroinflammation, and brain cell death. The aim of this review was to describe the molecular interactions between miRNAs and MAPKs during AD pathogenesis by selecting evidence from experimental AD models. Publications ranging from 2010 to 2023 were considered, based on PubMed and Web of Science databases. According to obtained data, several miRNA deregulations may regulate MAPK signaling in different stages of AD and conversely. Moreover, overexpressing or silencing miRNAs involved in MAPK regulation was seen to improve cognitive deficits in AD animal models. In particular, miR-132 is of particular interest due to its neuroprotective functions by inhibiting Aβ and Tau depositions, as well as oxidative stress, through ERK/MAPK1 signaling modulation. However, further investigations are required to confirm and implement these promising results.
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Abraham Daniel A, Silzer T, Sun J, Zhou Z, Hall C, Phillips N, Barber R. Hypermethylation at CREBBP Is Associated with Cognitive Impairment in a Mexican American Cohort. J Alzheimers Dis 2023; 92:1229-1239. [PMID: 36872777 PMCID: PMC10200223 DOI: 10.3233/jad-221031] [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] [Accepted: 02/01/2023] [Indexed: 03/06/2023]
Abstract
BACKGROUND The aging Mexican American (MA) population is the fastest growing ethnic minority group in the US. MAs have a unique metabolic-related risk for Alzheimer's disease (AD) and mild cognitive impairment (MCI), compared to non-Hispanic whites (NHW). This risk for cognitive impairment (CI) is multifactorial involving genetics, environmental, and lifestyle factors. Changes in environment and lifestyle can alter patterns and even possibly reverse derangement of DNA methylation (a form of epigenetic regulation). OBJECTIVE We sought to identify ethnicity-specific DNA methylation profiles that may be associated with CI in MAs and NHWs. METHODS DNA obtained from peripheral blood of 551 participants from the Texas Alzheimer's Research and Care Consortium was typed on the Illumina Infinium® MethylationEPIC chip array, which assesses over 850K CpG genomic sites. Within each ethnic group (N = 299 MAs, N = 252 NHWs), participants were stratified by cognitive status (control versus CI). Beta values, representing relative degree of methylation, were normalized using the Beta MIxture Quantile dilation method and assessed for differential methylation using the Chip Analysis Methylation Pipeline (ChAMP), limma and cate packages in R. RESULTS Two differentially methylated sites were significant: cg13135255 (MAs) and cg27002303 (NHWs) based on an FDR p < 0.05. Three suggestive sites obtained were cg01887506 (MAs) and cg10607142 and cg13529380 (NHWs). Most methylation sites were hypermethylated in CI compared to controls, except cg13529380 which was hypomethylated. CONCLUSION The strongest association with CI was at cg13135255 (FDR-adjusted p = 0.029 in MAs), within the CREBBP gene. Moving forward, identifying additional ethnicity-specific methylation sites may be useful to discern CI risk in MAs.
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Affiliation(s)
- Ann Abraham Daniel
- Department of Microbiology, Immunology and Genetics, School of Biomedical Sciences, University of North Texas Health Science Center, Fort Worth, TX, USA
| | - Talisa Silzer
- Department of Microbiology, Immunology and Genetics, School of Biomedical Sciences, University of North Texas Health Science Center, Fort Worth, TX, USA
| | - Jie Sun
- Department of Microbiology, Immunology and Genetics, School of Biomedical Sciences, University of North Texas Health Science Center, Fort Worth, TX, USA
| | - Zhengyang Zhou
- Department of Biostatistics and Epidemiology, School of Public Health, University of North Texas Health Science Center, Fort Worth, TX, USA
| | - Courtney Hall
- Department of Microbiology, Immunology and Genetics, School of Biomedical Sciences, University of North Texas Health Science Center, Fort Worth, TX, USA
| | - Nicole Phillips
- Department of Microbiology, Immunology and Genetics, School of Biomedical Sciences, University of North Texas Health Science Center, Fort Worth, TX, USA
| | - Robert Barber
- Department of Family and Manipulative Medicine, Texas College of Osteopathic Medicine, University of North Texas Health Science Center, Fort Worth, TX, USA
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10
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Journe‐Mallet I, Gouju J, Etcharry‐Bouyx F, Chauvire V, Guillet‐Pichon V, Scherer‐Gagou C, Prundean A, Godard S, Lecluse A, Cassereau J, Verny C, Letournel F, Codron P. Design and application of a customizable relational
DataBase
to assess clinicopathological correlations and concomitant pathology in neurodegenerative diseases. Brain Pathol 2022; 33:e13138. [PMID: 36536531 PMCID: PMC10154372 DOI: 10.1111/bpa.13138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Accepted: 11/29/2022] [Indexed: 12/24/2022] Open
Abstract
The diagnosis of neurodegenerative diseases is made complex by the heterogenous phenotype of the patients and the regular occurrence of concomitant pathology. Studying clinicopathological correlations in autopsy series is a central approach to improve pathological prediction in clinical practice. However, such method requires a wealth of information, and the use of standard spreadsheet software is hardly suitable. To overcome this constraint, we designed a customizable and freely available neuropathology form with 456 data entry fields driven by an open-source DataBase Management Systems (DBMS) using Structured Query Language (SQL). This approach allowed us to optimize the compilation of clinical and pathological data from our brain collection (264 autopsied patients, 22,885 data points). Information was then easily retrieved using general and specific queries, facilitating the analysis of demographics, clinicopathological correlations, and incidental and concomitant proteinopathies. Tau, amyloid-β and α-synuclein incidental pathology was observed in respectively 78.1%, 42.8%, and 10.7% of all the patients. These proportions increased with age, reaching 100% for Tau pathology after 80. Concomitant proteinopathy was observed in 46.4% of the patients diagnosed with neurodegenerative diseases and prion disease. We observed a particularly high rate of co-pathology in patients with Dementia with Lewy bodies (81.3% of associated Tau and amyloid-β pathology) and Creutzfeldt-Jakob disease (68.4% of associated Tau pathology). Finally, we used specific queries to identify old cases that could meet newly defined neuropathological criteria and revised the diagnosis of a 90-year-old patient to LATE Stage 2. Increasing our understanding of clinicopathological correlations in neurodegenerative diseases is crucial given the implications in clinical diagnosis, biomarker identification and targeted therapies assessment. The precise characterization of clinical and pathological data of autopsy series remains a central approach but the large amount of generated data should encourage a more systematic use of DBMS.
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Affiliation(s)
- Isabelle Journe‐Mallet
- Laboratoire de neurobiologie et neuropathologie Centre Hospitalier Universitaire d'Angers Angers France
| | - Julien Gouju
- Laboratoire de neurobiologie et neuropathologie Centre Hospitalier Universitaire d'Angers Angers France
| | | | - Valérie Chauvire
- Centre mémoire de ressource et de recherche Centre Hospitalier Universitaire d'Angers Angers France
| | - Virginie Guillet‐Pichon
- Centre mémoire de ressource et de recherche Centre Hospitalier Universitaire d'Angers Angers France
- Centre de référence des maladies neurogénétiques Centre Hospitalier Universitaire d'Angers Angers France
- MITOVASC Univ Angers, Inserm, CNRS, SFR ICAT Angers France
| | - Clarisse Scherer‐Gagou
- Centre de référence des maladies neurogénétiques Centre Hospitalier Universitaire d'Angers Angers France
| | - Adriana Prundean
- Centre de référence des maladies neurogénétiques Centre Hospitalier Universitaire d'Angers Angers France
| | - Sophie Godard
- Unité neurovasculaire Centre Hospitalier Universitaire d'Angers Angers France
| | - Aldéric Lecluse
- Unité neurovasculaire Centre Hospitalier Universitaire d'Angers Angers France
| | - Julien Cassereau
- Centre de référence des maladies neurogénétiques Centre Hospitalier Universitaire d'Angers Angers France
- MITOVASC Univ Angers, Inserm, CNRS, SFR ICAT Angers France
- Centre de référence des maladies neuromusculaires AOC Centre Hospitalier Universitaire d'Angers Angers France
- Centre de ressources et de compétences sur la SLA Centre Hospitalier Universitaire d'Angers Angers France
| | - Christophe Verny
- Centre de référence des maladies neurogénétiques Centre Hospitalier Universitaire d'Angers Angers France
- MITOVASC Univ Angers, Inserm, CNRS, SFR ICAT Angers France
| | - Franck Letournel
- Laboratoire de neurobiologie et neuropathologie Centre Hospitalier Universitaire d'Angers Angers France
| | - Philippe Codron
- Laboratoire de neurobiologie et neuropathologie Centre Hospitalier Universitaire d'Angers Angers France
- MITOVASC Univ Angers, Inserm, CNRS, SFR ICAT Angers France
- Unité neurovasculaire Centre Hospitalier Universitaire d'Angers Angers France
- Centre de référence des maladies neuromusculaires AOC Centre Hospitalier Universitaire d'Angers Angers France
- Centre de ressources et de compétences sur la SLA Centre Hospitalier Universitaire d'Angers Angers France
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11
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Olfati N, Shoeibi A, Litvan I. Clinical Spectrum of Tauopathies. Front Neurol 2022; 13:944806. [PMID: 35911892 PMCID: PMC9329580 DOI: 10.3389/fneur.2022.944806] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2022] [Accepted: 06/20/2022] [Indexed: 11/20/2022] Open
Abstract
Tauopathies are both clinical and pathological heterogeneous disorders characterized by neuronal and/or glial accumulation of misfolded tau protein. It is now well understood that every pathologic tauopathy may present with various clinical phenotypes based on the primary site of involvement and the spread and distribution of the pathology in the nervous system making clinicopathological correlation more and more challenging. The clinical spectrum of tauopathies includes syndromes with a strong association with an underlying primary tauopathy, including Richardson syndrome (RS), corticobasal syndrome (CBS), non-fluent agrammatic primary progressive aphasia (nfaPPA)/apraxia of speech, pure akinesia with gait freezing (PAGF), and behavioral variant frontotemporal dementia (bvFTD), or weak association with an underlying primary tauopathy, including Parkinsonian syndrome, late-onset cerebellar ataxia, primary lateral sclerosis, semantic variant PPA (svPPA), and amnestic syndrome. Here, we discuss clinical syndromes associated with various primary tauopathies and their distinguishing clinical features and new biomarkers becoming available to improve in vivo diagnosis. Although the typical phenotypic clinical presentations lead us to suspect specific underlying pathologies, it is still challenging to differentiate pathology accurately based on clinical findings due to large phenotypic overlaps. Larger pathology-confirmed studies to validate the use of different biomarkers and prospective longitudinal cohorts evaluating detailed clinical, biofluid, and imaging protocols in subjects presenting with heterogenous phenotypes reflecting a variety of suspected underlying pathologies are fundamental for a better understanding of the clinicopathological correlations.
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Affiliation(s)
- Nahid Olfati
- Department of Neurology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
- UC San Diego Department of Neurosciences, Parkinson and Other Movement Disorder Center, San Diego, CA, United States
| | - Ali Shoeibi
- Department of Neurology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Irene Litvan
- UC San Diego Department of Neurosciences, Parkinson and Other Movement Disorder Center, San Diego, CA, United States
- *Correspondence: Irene Litvan
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12
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Li Y, Schindler SE, Bollinger JG, Ovod V, Mawuenyega KG, Weiner MW, Shaw LM, Masters CL, Fowler CJ, Trojanowski JQ, Korecka M, Martins RN, Janelidze S, Hansson O, Bateman RJ. Validation of Plasma Amyloid-β 42/40 for Detecting Alzheimer Disease Amyloid Plaques. Neurology 2022; 98:e688-e699. [PMID: 34906975 PMCID: PMC8865895 DOI: 10.1212/wnl.0000000000013211] [Citation(s) in RCA: 80] [Impact Index Per Article: 40.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Accepted: 12/06/2021] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND AND OBJECTIVES To determine the diagnostic accuracy of a plasma Aβ42/Aβ40 assay in classifying amyloid PET status across global research studies using samples collected by multiple centers that utilize different blood collection and processing protocols. METHODS Plasma samples (n = 465) were obtained from 3 large Alzheimer disease (AD) research cohorts in the United States (n = 182), Australia (n = 183), and Sweden (n = 100). Plasma Aβ42/Aβ40 was measured by a high precision immunoprecipitation mass spectrometry (IPMS) assay and compared to the reference standards of amyloid PET and CSF Aβ42/Aβ40. RESULTS In the combined cohort of 465 participants, plasma Aβ42/Aβ40 had good concordance with amyloid PET status (receiver operating characteristic area under the curve [AUC] 0.84, 95% confidence interval [CI] 0.80-0.87); concordance improved with the inclusion of APOE ε4 carrier status (AUC 0.88, 95% CI 0.85-0.91). The AUC of plasma Aβ42/Aβ40 with CSF amyloid status was 0.85 (95% CI 0.78-0.91) and improved to 0.93 (95% CI 0.89-0.97) with APOE ε4 status. These findings were consistent across the 3 cohorts, despite differences in protocols. The assay performed similarly in both cognitively unimpaired and impaired individuals. DISCUSSION Plasma Aβ42/Aβ40 is a robust measure for detecting amyloid plaques and can be utilized to aid in the diagnosis of AD, identify those at risk for future dementia due to AD, and improve the diversity of populations enrolled in AD research and clinical trials. CLASSIFICATION OF EVIDENCE This study provides Class II evidence that plasma Aβ42/Aβ40, as measured by a high precision IPMS assay, accurately diagnoses brain amyloidosis in both cognitively unimpaired and impaired research participants.
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Affiliation(s)
- Yan Li
- From the Department of Neurology (Y.L., S.E.S., J.G.B., V.O., K.G.M., R.J.B.), Division of Biostatistics (Y.L.), Knight Alzheimer's Disease Research Center (S.E.S., R.J.B.), and Hope Center for Neurological Disorders (R.J.B.), Washington University School of Medicine, St. Louis, MO; Departments of Psychiatry, Radiology and Biomedical Imaging, Medicine, and Neurology (M.W.W.), Center for Imaging and Neurodegenerative Diseases, Northern California Institute for Research and Education, Department of Veterans Affairs Medical Center, University of California San Francisco; Department of Pathology and Laboratory Medicine (S.M.L., J.Q.T., M.K.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; The Florey Institute of Neuroscience and Mental Health (C.L.M., C.J.F.), University of Melbourne, Victoria; Edith Cowan University (R.N.M.), Joondalup, Australia; Department of Clinical Sciences, Clinical Memory Research Unit (S.J., O.H.), Lund University; and Memory Clinic (O.H.), Skåne University Hospital, Malmö, Sweden
| | - Suzanne E Schindler
- From the Department of Neurology (Y.L., S.E.S., J.G.B., V.O., K.G.M., R.J.B.), Division of Biostatistics (Y.L.), Knight Alzheimer's Disease Research Center (S.E.S., R.J.B.), and Hope Center for Neurological Disorders (R.J.B.), Washington University School of Medicine, St. Louis, MO; Departments of Psychiatry, Radiology and Biomedical Imaging, Medicine, and Neurology (M.W.W.), Center for Imaging and Neurodegenerative Diseases, Northern California Institute for Research and Education, Department of Veterans Affairs Medical Center, University of California San Francisco; Department of Pathology and Laboratory Medicine (S.M.L., J.Q.T., M.K.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; The Florey Institute of Neuroscience and Mental Health (C.L.M., C.J.F.), University of Melbourne, Victoria; Edith Cowan University (R.N.M.), Joondalup, Australia; Department of Clinical Sciences, Clinical Memory Research Unit (S.J., O.H.), Lund University; and Memory Clinic (O.H.), Skåne University Hospital, Malmö, Sweden
| | - James G Bollinger
- From the Department of Neurology (Y.L., S.E.S., J.G.B., V.O., K.G.M., R.J.B.), Division of Biostatistics (Y.L.), Knight Alzheimer's Disease Research Center (S.E.S., R.J.B.), and Hope Center for Neurological Disorders (R.J.B.), Washington University School of Medicine, St. Louis, MO; Departments of Psychiatry, Radiology and Biomedical Imaging, Medicine, and Neurology (M.W.W.), Center for Imaging and Neurodegenerative Diseases, Northern California Institute for Research and Education, Department of Veterans Affairs Medical Center, University of California San Francisco; Department of Pathology and Laboratory Medicine (S.M.L., J.Q.T., M.K.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; The Florey Institute of Neuroscience and Mental Health (C.L.M., C.J.F.), University of Melbourne, Victoria; Edith Cowan University (R.N.M.), Joondalup, Australia; Department of Clinical Sciences, Clinical Memory Research Unit (S.J., O.H.), Lund University; and Memory Clinic (O.H.), Skåne University Hospital, Malmö, Sweden
| | - Vitaliy Ovod
- From the Department of Neurology (Y.L., S.E.S., J.G.B., V.O., K.G.M., R.J.B.), Division of Biostatistics (Y.L.), Knight Alzheimer's Disease Research Center (S.E.S., R.J.B.), and Hope Center for Neurological Disorders (R.J.B.), Washington University School of Medicine, St. Louis, MO; Departments of Psychiatry, Radiology and Biomedical Imaging, Medicine, and Neurology (M.W.W.), Center for Imaging and Neurodegenerative Diseases, Northern California Institute for Research and Education, Department of Veterans Affairs Medical Center, University of California San Francisco; Department of Pathology and Laboratory Medicine (S.M.L., J.Q.T., M.K.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; The Florey Institute of Neuroscience and Mental Health (C.L.M., C.J.F.), University of Melbourne, Victoria; Edith Cowan University (R.N.M.), Joondalup, Australia; Department of Clinical Sciences, Clinical Memory Research Unit (S.J., O.H.), Lund University; and Memory Clinic (O.H.), Skåne University Hospital, Malmö, Sweden
| | - Kwasi G Mawuenyega
- From the Department of Neurology (Y.L., S.E.S., J.G.B., V.O., K.G.M., R.J.B.), Division of Biostatistics (Y.L.), Knight Alzheimer's Disease Research Center (S.E.S., R.J.B.), and Hope Center for Neurological Disorders (R.J.B.), Washington University School of Medicine, St. Louis, MO; Departments of Psychiatry, Radiology and Biomedical Imaging, Medicine, and Neurology (M.W.W.), Center for Imaging and Neurodegenerative Diseases, Northern California Institute for Research and Education, Department of Veterans Affairs Medical Center, University of California San Francisco; Department of Pathology and Laboratory Medicine (S.M.L., J.Q.T., M.K.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; The Florey Institute of Neuroscience and Mental Health (C.L.M., C.J.F.), University of Melbourne, Victoria; Edith Cowan University (R.N.M.), Joondalup, Australia; Department of Clinical Sciences, Clinical Memory Research Unit (S.J., O.H.), Lund University; and Memory Clinic (O.H.), Skåne University Hospital, Malmö, Sweden
| | - Michael W Weiner
- From the Department of Neurology (Y.L., S.E.S., J.G.B., V.O., K.G.M., R.J.B.), Division of Biostatistics (Y.L.), Knight Alzheimer's Disease Research Center (S.E.S., R.J.B.), and Hope Center for Neurological Disorders (R.J.B.), Washington University School of Medicine, St. Louis, MO; Departments of Psychiatry, Radiology and Biomedical Imaging, Medicine, and Neurology (M.W.W.), Center for Imaging and Neurodegenerative Diseases, Northern California Institute for Research and Education, Department of Veterans Affairs Medical Center, University of California San Francisco; Department of Pathology and Laboratory Medicine (S.M.L., J.Q.T., M.K.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; The Florey Institute of Neuroscience and Mental Health (C.L.M., C.J.F.), University of Melbourne, Victoria; Edith Cowan University (R.N.M.), Joondalup, Australia; Department of Clinical Sciences, Clinical Memory Research Unit (S.J., O.H.), Lund University; and Memory Clinic (O.H.), Skåne University Hospital, Malmö, Sweden
| | - Leslie M Shaw
- From the Department of Neurology (Y.L., S.E.S., J.G.B., V.O., K.G.M., R.J.B.), Division of Biostatistics (Y.L.), Knight Alzheimer's Disease Research Center (S.E.S., R.J.B.), and Hope Center for Neurological Disorders (R.J.B.), Washington University School of Medicine, St. Louis, MO; Departments of Psychiatry, Radiology and Biomedical Imaging, Medicine, and Neurology (M.W.W.), Center for Imaging and Neurodegenerative Diseases, Northern California Institute for Research and Education, Department of Veterans Affairs Medical Center, University of California San Francisco; Department of Pathology and Laboratory Medicine (S.M.L., J.Q.T., M.K.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; The Florey Institute of Neuroscience and Mental Health (C.L.M., C.J.F.), University of Melbourne, Victoria; Edith Cowan University (R.N.M.), Joondalup, Australia; Department of Clinical Sciences, Clinical Memory Research Unit (S.J., O.H.), Lund University; and Memory Clinic (O.H.), Skåne University Hospital, Malmö, Sweden
| | - Colin L Masters
- From the Department of Neurology (Y.L., S.E.S., J.G.B., V.O., K.G.M., R.J.B.), Division of Biostatistics (Y.L.), Knight Alzheimer's Disease Research Center (S.E.S., R.J.B.), and Hope Center for Neurological Disorders (R.J.B.), Washington University School of Medicine, St. Louis, MO; Departments of Psychiatry, Radiology and Biomedical Imaging, Medicine, and Neurology (M.W.W.), Center for Imaging and Neurodegenerative Diseases, Northern California Institute for Research and Education, Department of Veterans Affairs Medical Center, University of California San Francisco; Department of Pathology and Laboratory Medicine (S.M.L., J.Q.T., M.K.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; The Florey Institute of Neuroscience and Mental Health (C.L.M., C.J.F.), University of Melbourne, Victoria; Edith Cowan University (R.N.M.), Joondalup, Australia; Department of Clinical Sciences, Clinical Memory Research Unit (S.J., O.H.), Lund University; and Memory Clinic (O.H.), Skåne University Hospital, Malmö, Sweden
| | - Christopher J Fowler
- From the Department of Neurology (Y.L., S.E.S., J.G.B., V.O., K.G.M., R.J.B.), Division of Biostatistics (Y.L.), Knight Alzheimer's Disease Research Center (S.E.S., R.J.B.), and Hope Center for Neurological Disorders (R.J.B.), Washington University School of Medicine, St. Louis, MO; Departments of Psychiatry, Radiology and Biomedical Imaging, Medicine, and Neurology (M.W.W.), Center for Imaging and Neurodegenerative Diseases, Northern California Institute for Research and Education, Department of Veterans Affairs Medical Center, University of California San Francisco; Department of Pathology and Laboratory Medicine (S.M.L., J.Q.T., M.K.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; The Florey Institute of Neuroscience and Mental Health (C.L.M., C.J.F.), University of Melbourne, Victoria; Edith Cowan University (R.N.M.), Joondalup, Australia; Department of Clinical Sciences, Clinical Memory Research Unit (S.J., O.H.), Lund University; and Memory Clinic (O.H.), Skåne University Hospital, Malmö, Sweden
| | - John Q Trojanowski
- From the Department of Neurology (Y.L., S.E.S., J.G.B., V.O., K.G.M., R.J.B.), Division of Biostatistics (Y.L.), Knight Alzheimer's Disease Research Center (S.E.S., R.J.B.), and Hope Center for Neurological Disorders (R.J.B.), Washington University School of Medicine, St. Louis, MO; Departments of Psychiatry, Radiology and Biomedical Imaging, Medicine, and Neurology (M.W.W.), Center for Imaging and Neurodegenerative Diseases, Northern California Institute for Research and Education, Department of Veterans Affairs Medical Center, University of California San Francisco; Department of Pathology and Laboratory Medicine (S.M.L., J.Q.T., M.K.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; The Florey Institute of Neuroscience and Mental Health (C.L.M., C.J.F.), University of Melbourne, Victoria; Edith Cowan University (R.N.M.), Joondalup, Australia; Department of Clinical Sciences, Clinical Memory Research Unit (S.J., O.H.), Lund University; and Memory Clinic (O.H.), Skåne University Hospital, Malmö, Sweden
| | - Magdalena Korecka
- From the Department of Neurology (Y.L., S.E.S., J.G.B., V.O., K.G.M., R.J.B.), Division of Biostatistics (Y.L.), Knight Alzheimer's Disease Research Center (S.E.S., R.J.B.), and Hope Center for Neurological Disorders (R.J.B.), Washington University School of Medicine, St. Louis, MO; Departments of Psychiatry, Radiology and Biomedical Imaging, Medicine, and Neurology (M.W.W.), Center for Imaging and Neurodegenerative Diseases, Northern California Institute for Research and Education, Department of Veterans Affairs Medical Center, University of California San Francisco; Department of Pathology and Laboratory Medicine (S.M.L., J.Q.T., M.K.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; The Florey Institute of Neuroscience and Mental Health (C.L.M., C.J.F.), University of Melbourne, Victoria; Edith Cowan University (R.N.M.), Joondalup, Australia; Department of Clinical Sciences, Clinical Memory Research Unit (S.J., O.H.), Lund University; and Memory Clinic (O.H.), Skåne University Hospital, Malmö, Sweden
| | - Ralph N Martins
- From the Department of Neurology (Y.L., S.E.S., J.G.B., V.O., K.G.M., R.J.B.), Division of Biostatistics (Y.L.), Knight Alzheimer's Disease Research Center (S.E.S., R.J.B.), and Hope Center for Neurological Disorders (R.J.B.), Washington University School of Medicine, St. Louis, MO; Departments of Psychiatry, Radiology and Biomedical Imaging, Medicine, and Neurology (M.W.W.), Center for Imaging and Neurodegenerative Diseases, Northern California Institute for Research and Education, Department of Veterans Affairs Medical Center, University of California San Francisco; Department of Pathology and Laboratory Medicine (S.M.L., J.Q.T., M.K.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; The Florey Institute of Neuroscience and Mental Health (C.L.M., C.J.F.), University of Melbourne, Victoria; Edith Cowan University (R.N.M.), Joondalup, Australia; Department of Clinical Sciences, Clinical Memory Research Unit (S.J., O.H.), Lund University; and Memory Clinic (O.H.), Skåne University Hospital, Malmö, Sweden
| | - Shorena Janelidze
- From the Department of Neurology (Y.L., S.E.S., J.G.B., V.O., K.G.M., R.J.B.), Division of Biostatistics (Y.L.), Knight Alzheimer's Disease Research Center (S.E.S., R.J.B.), and Hope Center for Neurological Disorders (R.J.B.), Washington University School of Medicine, St. Louis, MO; Departments of Psychiatry, Radiology and Biomedical Imaging, Medicine, and Neurology (M.W.W.), Center for Imaging and Neurodegenerative Diseases, Northern California Institute for Research and Education, Department of Veterans Affairs Medical Center, University of California San Francisco; Department of Pathology and Laboratory Medicine (S.M.L., J.Q.T., M.K.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; The Florey Institute of Neuroscience and Mental Health (C.L.M., C.J.F.), University of Melbourne, Victoria; Edith Cowan University (R.N.M.), Joondalup, Australia; Department of Clinical Sciences, Clinical Memory Research Unit (S.J., O.H.), Lund University; and Memory Clinic (O.H.), Skåne University Hospital, Malmö, Sweden
| | - Oskar Hansson
- From the Department of Neurology (Y.L., S.E.S., J.G.B., V.O., K.G.M., R.J.B.), Division of Biostatistics (Y.L.), Knight Alzheimer's Disease Research Center (S.E.S., R.J.B.), and Hope Center for Neurological Disorders (R.J.B.), Washington University School of Medicine, St. Louis, MO; Departments of Psychiatry, Radiology and Biomedical Imaging, Medicine, and Neurology (M.W.W.), Center for Imaging and Neurodegenerative Diseases, Northern California Institute for Research and Education, Department of Veterans Affairs Medical Center, University of California San Francisco; Department of Pathology and Laboratory Medicine (S.M.L., J.Q.T., M.K.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; The Florey Institute of Neuroscience and Mental Health (C.L.M., C.J.F.), University of Melbourne, Victoria; Edith Cowan University (R.N.M.), Joondalup, Australia; Department of Clinical Sciences, Clinical Memory Research Unit (S.J., O.H.), Lund University; and Memory Clinic (O.H.), Skåne University Hospital, Malmö, Sweden
| | - Randall J Bateman
- From the Department of Neurology (Y.L., S.E.S., J.G.B., V.O., K.G.M., R.J.B.), Division of Biostatistics (Y.L.), Knight Alzheimer's Disease Research Center (S.E.S., R.J.B.), and Hope Center for Neurological Disorders (R.J.B.), Washington University School of Medicine, St. Louis, MO; Departments of Psychiatry, Radiology and Biomedical Imaging, Medicine, and Neurology (M.W.W.), Center for Imaging and Neurodegenerative Diseases, Northern California Institute for Research and Education, Department of Veterans Affairs Medical Center, University of California San Francisco; Department of Pathology and Laboratory Medicine (S.M.L., J.Q.T., M.K.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; The Florey Institute of Neuroscience and Mental Health (C.L.M., C.J.F.), University of Melbourne, Victoria; Edith Cowan University (R.N.M.), Joondalup, Australia; Department of Clinical Sciences, Clinical Memory Research Unit (S.J., O.H.), Lund University; and Memory Clinic (O.H.), Skåne University Hospital, Malmö, Sweden.
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Jellinger KA. Recent update on the heterogeneity of the Alzheimer’s disease spectrum. J Neural Transm (Vienna) 2021; 129:1-24. [DOI: 10.1007/s00702-021-02449-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Accepted: 11/25/2021] [Indexed: 02/03/2023]
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Jellinger KA. Pathobiological Subtypes of Alzheimer Disease. Dement Geriatr Cogn Disord 2021; 49:321-333. [PMID: 33429401 DOI: 10.1159/000508625] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Accepted: 05/11/2020] [Indexed: 11/19/2022] Open
Abstract
Alzheimer disease (AD), the most common form of dementia, is a heterogenous disorder with various pathobiological subtypes. In addition to the 4 major subtypes based on the distribution of tau pathology and brain atrophy (typical, limbic predominant, hippocampal sparing, and minimal atrophy [MA]), several other clinical variants showing distinct regional patterns of tau burden have been identified: nonamnestic, corticobasal syndromal, primary progressive aphasia, posterior cortical atrophy, behavioral/dysexecutive, and mild dementia variants. Among the subtypes, differences were found in age at onset, sex distribution, cognitive status, disease duration, APOE genotype, and biomarker levels. The patterns of key network destructions parallel the tau and atrophy patterns of the AD subgroups essentially. Interruption of key networks, in particular the default-mode network that is responsible for cognitive decline, is consistent in hetero-genous AD groups. AD pathology is often associated with co-pathologies: cerebrovascular lesions, Lewy pathology, and TDP-43 proteinopathies. These mixed pathologies essentially influence the clinical picture of AD and may accel-erate disease progression. Unraveling the heterogeneity among the AD spectrum entities is important for opening a window to pathogenic mechanisms affecting the brain and enabling precision medicine approaches as a basis for developing preventive and ultimately successful disease-modifying therapies for AD.
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Jonell P, Moëll B, Håkansson K, Henter GE, Kucherenko T, Mikheeva O, Hagman G, Holleman J, Kivipelto M, Kjellström H, Gustafson J, Beskow J. Multimodal Capture of Patient Behaviour for Improved Detection of Early Dementia: Clinical Feasibility and Preliminary Results. FRONTIERS IN COMPUTER SCIENCE 2021. [DOI: 10.3389/fcomp.2021.642633] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Non-invasive automatic screening for Alzheimer’s disease has the potential to improve diagnostic accuracy while lowering healthcare costs. Previous research has shown that patterns in speech, language, gaze, and drawing can help detect early signs of cognitive decline. In this paper, we describe a highly multimodal system for unobtrusively capturing data during real clinical interviews conducted as part of cognitive assessments for Alzheimer’s disease. The system uses nine different sensor devices (smartphones, a tablet, an eye tracker, a microphone array, and a wristband) to record interaction data during a specialist’s first clinical interview with a patient, and is currently in use at Karolinska University Hospital in Stockholm, Sweden. Furthermore, complementary information in the form of brain imaging, psychological tests, speech therapist assessment, and clinical meta-data is also available for each patient. We detail our data-collection and analysis procedure and present preliminary findings that relate measures extracted from the multimodal recordings to clinical assessments and established biomarkers, based on data from 25 patients gathered thus far. Our findings demonstrate feasibility for our proposed methodology and indicate that the collected data can be used to improve clinical assessments of early dementia.
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Jellinger KA. Neuropathological assessment of the Alzheimer spectrum. J Neural Transm (Vienna) 2020; 127:1229-1256. [PMID: 32740684 DOI: 10.1007/s00702-020-02232-9] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Accepted: 07/14/2020] [Indexed: 12/12/2022]
Abstract
Alzheimer disease (AD), the most common form of dementia globally, classically defined a clinicopathological entity, is a heterogenous disorder with various pathobiological subtypes, currently referred to as Alzheimer continuum. Its morphological hallmarks are extracellular parenchymal β-amyloid (amyloid plaques) and intraneuronal (tau aggregates forming neurofibrillary tangles) lesions accompanied by synaptic loss and vascular amyloid deposits, that are essential for the pathological diagnosis of AD. In addition to "classical" AD, several subtypes with characteristic regional patterns of tau pathology have been described that show distinct clinical features, differences in age, sex distribution, biomarker levels, and patterns of key network destructions responsible for cognitive decline. AD is a mixed proteinopathy (amyloid and tau), frequently associated with other age-related co-pathologies, such as cerebrovascular lesions, Lewy and TDP-43 pathologies, hippocampal sclerosis, or argyrophilic grain disease. These and other co-pathologies essentially influence the clinical picture of AD and may accelerate disease progression. The purpose of this review is to provide a critical overview of AD pathology, its defining pathological substrates, and the heterogeneity among the Alzheimer spectrum entities that may provide a broader diagnostic coverage of this devastating disorder as a basis for implementing precision medicine approaches and for ultimate development of successful disease-modifying drugs for AD.
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Affiliation(s)
- Kurt A Jellinger
- Institute of Clinical Neurobiology, Alberichgasse 5/13, 1150, Vienna, Austria.
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