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Luo T, Vattathil SM, Lori A, Schneider JA, Bennett DA, Wingo TS, Wingo AP. Brain microRNAs differentially expressed in age-related cerebral pathologies. Neurobiol Aging 2025; 151:42-53. [PMID: 40228357 DOI: 10.1016/j.neurobiolaging.2025.03.014] [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: 03/04/2024] [Revised: 03/28/2025] [Accepted: 03/31/2025] [Indexed: 04/16/2025]
Abstract
Multiple brain pathologies accumulate with age, but their underlying biology remains unclear. We investigated the role of microRNAs (miRNAs) in ten age-related cerebral pathologies. Using miRNA sequencing profiles from the dorsolateral prefrontal cortex of 617 brain donors, we identified miRNAs associated with Alzheimer's disease (AD) pathology, Lewy body pathology, arteriolosclerosis, cerebral amyloid angiopathy, and LATE-NC after adjusting for age, sex, and education. After additionally adjusting for co-existing cerebral pathologies, we found miRNAs specifically associated with AD pathology (n = 75), Lewy body pathology (n = 45), arteriolosclerosis (n = 3), cerebral amyloid angiopathy (n = 1), and LATE-NC (n = 4). While some miRNAs were pathology-specific, 14 miRNAs (including those in the miR-132/212 cluster) were associated with both AD pathology and Lewy body pathology, and one (miR-193a-5p) was associated with both AD pathology and cerebral amyloid angiopathy. Gene set enrichment analysis showed that miRNAs associated with arteriolosclerosis target genes involved in glutathione metabolism, synaptic functions, cellular transport, and innate immune response. These findings highlight the role of miRNAs in age-related cerebral pathologies and provide a foundation for future mechanistic studies.
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Affiliation(s)
- Tianze Luo
- Department of Neurology, Emory University, Atlanta, GA, USA
| | - Selina M Vattathil
- Department of Neurology, University of California Davis, Sacramento, CA, USA
| | - Adriana Lori
- Department of Psychiatry, Emory University, Atlanta, GA, USA
| | - Julie A Schneider
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Thomas S Wingo
- Department of Neurology, University of California Davis, Sacramento, CA, USA; Alzheimer's Disease Research Center, University of California Davis, Sacramento, CA, USA.
| | - Aliza P Wingo
- Department of Psychiatry, University of California Davis, Sacramento, CA, USA; Veterans Affairs Northern California Health Care System, Sacramento, CA, USA.
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Braak H, Mayer B, Feldengut S, Schön M, Del Tredici K. Sequence and trajectory of early Alzheimer's disease-related tau inclusions in the hippocampal formation of cases without amyloid-β deposits. Acta Neuropathol 2025; 149:50. [PMID: 40407905 PMCID: PMC12102137 DOI: 10.1007/s00401-025-02862-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2024] [Revised: 02/28/2025] [Accepted: 02/28/2025] [Indexed: 05/26/2025]
Abstract
Sporadic Alzheimer's disease (AD) involves specific neuronal types and progresses in a systematic manner, permitting subdivision into six neuropathological stages. Neurofibrillary tangle (NFT) stages I-III display abnormal tau inclusions confined to subcortical nuclei and temporal allocortical regions, frequently without amyloid β (Aβ) deposition. We previously suggested a sequence of neuronal involvement in AD that could proceed from entorhinal pre-α cells to hippocampal prosubicular pyramidal cells and the CA1/CA2 sectors, from there to the thorny excrescences on mossy cells in CA3/CA4, and, finally, from the mossy cells to dentate fascia (Fd) granular cells. Here, we aimed to see if associations existed between the early NFT stages I-III, when Aβ deposits are frequently absent, and the following four categories: (1) anatomical regions and abnormal morphological tau changes in region-specific layers, (2) nerve cell loss, (3) APOE genotype, and (4) the trajectory (directionality) of tau progression in the hippocampal formation. To do so, we examined the transentorhinal/entorhinal regions and hippocampal formation using AT8-immunohistochemistry in 100 µm sections from N = 308 brains with tau inclusions lacking Aβ deposits between NFT stages I and III (average age at death 66.7 years for females, 66.4 years for males). Our results indicated a significantly (p < 0.001) ordered progression of abnormal tau in a direction opposite to currently known unidirectional intrahippocampal connections, thereby indirectly supporting the idea of transneuronal abnormal tau spreading, i.e., anterogradely, through the hippocampal formation. Tau-related neuronal loss was also significant (p < 0.001 for the transentorhinal/entorhinal regions and for sectors CA1/CA2 and p = 0.003 for CA3/CA4/Fd). These findings challenge the amyloid cascade and the PART hypotheses, corroborating the concept that early AD-related tau inclusions and tau-related neuronal loss occur independently of Aβ deposition.
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Affiliation(s)
- Heiko Braak
- Department of Neurology, Center for Biomedical Research, Clinical Neuroanatomy, University of Ulm, Helmholtzstrasse 8/1, 89081, Ulm, Germany.
| | - Benjamin Mayer
- Institute of Epidemiology and Medical Biometry, University of Ulm, 89075, Ulm, Germany
| | - Simone Feldengut
- Department of Neurology, Center for Biomedical Research, Clinical Neuroanatomy, University of Ulm, Helmholtzstrasse 8/1, 89081, Ulm, Germany
| | - Michael Schön
- Institute for Anatomy and Cell Biology, University of Ulm, 89081, Ulm, Germany
| | - Kelly Del Tredici
- Department of Neurology, Center for Biomedical Research, Clinical Neuroanatomy, University of Ulm, Helmholtzstrasse 8/1, 89081, Ulm, Germany
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Ikeuchi Y, Kohta M, Hosoda K, Yamashita S, Shose H, Yamanishi S, Tanaka K, Sasayama T. Systematic review of neurological diseases and carbenoxolone: A double-edged sword? Eur J Pharmacol 2025; 994:177387. [PMID: 39961487 DOI: 10.1016/j.ejphar.2025.177387] [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: 10/23/2024] [Revised: 02/05/2025] [Accepted: 02/13/2025] [Indexed: 02/24/2025]
Abstract
In this systematic review, we aim to clarify common findings on carbenoxolone's effects on neurological conditions, including stroke, across studies and identify areas where knowledge remains incomplete. We searched several electronic databases, including PubMed, Web of Science, and the Cochrane Library, from their inception and finally included 60 studies in our review. This review reveals carbenoxolone's neuroprotective properties, such as gap junction inhibition, inhibiting the enzyme 11β-hydroxysteroid dehydrogenase (HSD) type I, inducing heat shock proteins, and inhibiting amyloid β42 aggregation. Conversely, it highlights carbenoxolone's neurotoxic potential, including inhibiting the enzyme 11β-HSD type II, mitochondrial dysfunction, and impaired astrocytic uptake of excitotoxic substances. Gap junctions also act as a pathway for neurotrophic factors and drugs that provide neuroprotection, and their inhibition by carbenoxolone may be detrimental to neuronal survival. In the systematic review, the comparison of carbenoxolone concentrations used in in vitro experiments that reported inhibition of 11β-HSD and gap junctions showed significant differences, with higher concentrations noted for gap junction inhibition. Induction of heat shock proteins and inhibition of amyloid-β were limited to long-term administration. Studies related to stroke demonstrated that all instances of hemorrhagic stroke exhibited neurotoxic effects. Additionally, studies administering carbenoxolone after cerebral ischemia reported poor outcomes in experiments with higher dosages and in chronic phases. In conclusion, carbenoxolone presents both neuroprotective and neurotoxic potential, necessitating cautious application in clinical settings. Future research should prioritize comprehensive, high-throughput studies to elucidate carbenoxolone's diverse mechanisms and long-term impacts, optimizing its therapeutic potential for neurological diseases.
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Affiliation(s)
- Yusuke Ikeuchi
- Department of Neurosurgery, Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe, Hyogo, 650-0017, Japan.
| | - Masaaki Kohta
- Department of Neurosurgery, Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe, Hyogo, 650-0017, Japan
| | - Kohkichi Hosoda
- Department of Neurosurgery, Myodani Hospital, Nashihara, Myodani-sho, 2350-2, Kobe, Japan
| | - Shunsuke Yamashita
- Department of Neurosurgery, Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe, Hyogo, 650-0017, Japan
| | - Hiroyasu Shose
- Department of Neurosurgery, Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe, Hyogo, 650-0017, Japan
| | - Shunsuke Yamanishi
- Department of Neurosurgery, Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe, Hyogo, 650-0017, Japan
| | - Kazuhiro Tanaka
- Department of Neurosurgery, Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe, Hyogo, 650-0017, Japan
| | - Takashi Sasayama
- Department of Neurosurgery, Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe, Hyogo, 650-0017, Japan
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Kurz C, Carli L, Gürsel SÜ, Schrurs I, Jethwa A, Carboni M, Bittner T, Hortsch S, Keeser D, Brendel M, Burow L, Haeckert J, Koriath CAM, Tatò M, Utecht J, Papazov B, Morenas-Rodriguez E, Pogarell O, Palleis C, Weidinger E, Stoecklein S, Levin J, Höglinger G, Rauchmann BS, Perneczky R. Plasma biomarkers of amyloid, tau & neuroinflammation in Alzheimer's disease and corticobasal syndrome. Eur Arch Psychiatry Clin Neurosci 2025:10.1007/s00406-025-02013-z. [PMID: 40314736 DOI: 10.1007/s00406-025-02013-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2024] [Accepted: 04/11/2025] [Indexed: 05/03/2025]
Abstract
BACKGROUND Blood-based biomarkers (BBBMs) could significantly facilitate the diagnosis of Alzheimer's disease (AD) and non-AD dementia by providing less invasive alternatives to cerebrospinal fluid (CSF) and positron emission tomography (PET) imaging. OBJECTIVE This study investigated how well the BBBMs-amyloid-β (Aβ) 1-42/1-40 ratio, phosphorylated tau181 (pTau181), apolipoprotein E4 (ApoE4), glial fibrillary acidic protein (GFAP), and neurofilament light chain (NfL)-reflect thorough clinical work-up validated by PET and CSF biomarkers in participants with AD (n = 27), Aβ-negative CBS (n = 26), and agematched healthy controls (HC) (n = 17). METHODS Factor and correlation explored biomarker associations. Bayesian regression, backward selection regression, and ROC curve analysis were applied to identify optimal biomarker combinations and diagnostic cut-offs. RESULTS In AD cases, pTau181 and ApoE4 levels were elevated, and the Aβ1-42/1-40 ratio was reduced. ROC analysis showed high accuracy for pTau181, ApoE4 and Aβ1-42/1-40 in discriminating AD from HC, with a combination significantly improving performance. However, limited fold change, and high variability reduced the diagnostic applicability of Aβ1-42/1-40 ratio. Elevated NfL levels were the most reliable biomarker for CBS-Aβ(-) cases. GFAP showed limited discriminatory power due to overlapping levels, suggesting that it may not serve as a disease-specific biomarker but may be indicative of general neurodegeneration. CONCLUSIONS This study highlights the diagnostic utility of pTau181, ApoE4 and the Aβ1-42/1-40 ratio for AD and NfL in the CBS-Aβ(-) cases and emphasizes the added value of combined biomarker models for group differentiation. Prospective studies will help validate these findings and refine clinical thresholds.
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Affiliation(s)
- Carolin Kurz
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Nußbaumstr. 7, 80336, Munich, Germany.
| | - Laura Carli
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Nußbaumstr. 7, 80336, Munich, Germany
| | - Selim Üstün Gürsel
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Nußbaumstr. 7, 80336, Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE), 81377, Munich, Germany
| | - Isabelle Schrurs
- Roche Diagnostics International Ltd, 6343, Rotkreuz, Switzerland
| | | | | | | | | | - Daniel Keeser
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Nußbaumstr. 7, 80336, Munich, Germany
| | - Matthias Brendel
- Munich Cluster for Systems Neurology (SyNergy), 80336, Munich, Germany
- Department of Nuclear Medicine, LMU Hospital Munich, LMU Munich, 81377, Munich, Germany
| | - Lena Burow
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Nußbaumstr. 7, 80336, Munich, Germany
| | - Jan Haeckert
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Nußbaumstr. 7, 80336, Munich, Germany
- Department of Psychiatry, Psychotherapy and Psychosomatics, Medical Faculty, University of Augsburg, 86156, Augsburg, Germany
| | - Carolin A M Koriath
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Nußbaumstr. 7, 80336, Munich, Germany
| | - Maia Tatò
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Nußbaumstr. 7, 80336, Munich, Germany
| | - Julia Utecht
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Nußbaumstr. 7, 80336, Munich, Germany
| | - Boris Papazov
- Clinic for Psychiatry, Psychotherapy and Psychosomatics at the University of Augsburg, Augsburg, Germany
| | - Estrella Morenas-Rodriguez
- German Center for Neurodegenerative Diseases (DZNE), 81377, Munich, Germany
- Institut de Recerca Hospital Sant Pau, 08041, Barcelona, Spain
| | - Oliver Pogarell
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Nußbaumstr. 7, 80336, Munich, Germany
| | - Carla Palleis
- German Center for Neurodegenerative Diseases (DZNE), 81377, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), 80336, Munich, Germany
- Department of Neurology, LMU Hospital Munich, LMU Munich, 81377, Munich, Germany
| | - Endy Weidinger
- Department of Neurology, LMU Hospital Munich, LMU Munich, 81377, Munich, Germany
| | - Sophia Stoecklein
- Department of Radiology, LMU Hospital Munich, LMU Munich, 81377, Munich, Germany
| | - Johannes Levin
- German Center for Neurodegenerative Diseases (DZNE), 81377, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), 80336, Munich, Germany
- Department of Neurology, LMU Hospital Munich, LMU Munich, 81377, Munich, Germany
| | - Günter Höglinger
- German Center for Neurodegenerative Diseases (DZNE), 81377, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), 80336, Munich, Germany
- Department of Neurology, LMU Hospital Munich, LMU Munich, 81377, Munich, Germany
| | - Boris-Stephan Rauchmann
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Nußbaumstr. 7, 80336, Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE), 81377, Munich, Germany
- Department of Radiology, LMU Hospital Munich, LMU Munich, 81377, Munich, Germany
- Department of Neuroradiology, LMU Hospital Munich, LMU Munich, 81377, Munich, Germany
| | - Robert Perneczky
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Nußbaumstr. 7, 80336, Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE), 81377, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), 80336, Munich, Germany
- Ageing Epidemiology (AGE) Research Unit, School of Public Health, Imperial College London, London, W6 8RP, UK
- Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, S10 2HQ, UK
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5
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McIntyre CW, Jain A. Dialysis and cognitive impairment. Nat Rev Nephrol 2025:10.1038/s41581-025-00960-3. [PMID: 40275017 DOI: 10.1038/s41581-025-00960-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/25/2025] [Indexed: 04/26/2025]
Abstract
People with chronic kidney disease who require maintenance dialysis characteristically experience accelerated and aggravated cognitive decline compared with those with advanced kidney disease who are not receiving this form of kidney replacement therapy. This effect is inadequately appreciated, but of crucial importance to patients, their carers and the health-care systems that support them. Although many of the comorbid conditions prevalent in this patient population have the potential to affect brain structure and function, an evolving body of evidence indicates that the dialysis therapy itself has a central role in the pathophysiology of progressive cognitive impairment. Both haemodialysis and peritoneal dialysis are associated with structural and functional changes in the brain that can lead to characteristic short-term symptoms, such as headache, confusion, delirium and brain fog, as well as long-term reductions in cognitive functional ability. Here, we explore the mechanisms, both established and putative, underlying these effects and consider approaches to addressing this issue with both single and complex therapeutic interventions.
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Affiliation(s)
- Chris W McIntyre
- Lilibeth Caberto Kidney Clinical Research Unit, Lawson Health Research Institute, London, Ontario, Canada.
- Departments of Medicine, Medical Biophysics and Paediatrics, Western University, London, Ontario, Canada.
| | - Arsh Jain
- Lilibeth Caberto Kidney Clinical Research Unit, Lawson Health Research Institute, London, Ontario, Canada
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6
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Papetti AV, Jin M, Ma Z, Stillitano AC, Jiang P. Chimeric brain models: Unlocking insights into human neural development, aging, diseases, and cell therapies. Neuron 2025:S0896-6273(25)00256-9. [PMID: 40300597 DOI: 10.1016/j.neuron.2025.03.036] [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: 01/26/2025] [Revised: 03/07/2025] [Accepted: 03/31/2025] [Indexed: 05/01/2025]
Abstract
Human-rodent chimeric brain models serve as a unique platform for investigating the pathophysiology of human cells within a living brain environment. These models are established by transplanting human tissue- or human pluripotent stem cell (hPSC)-derived macroglial, microglial, or neuronal lineage cells, as well as cerebral organoids, into the brains of host animals. This approach has opened new avenues for exploring human brain development, disease mechanisms, and regenerative processes. Here, we highlight recent advancements in using chimeric models to study human neural development, aging, and disease. Additionally, we explore the potential applications of these models for studying human glial cell-replacement therapies, studying in vivo human glial-to-neuron reprogramming, and harnessing single-cell omics and advanced functional assays to uncover detailed insights into human neurobiology. Finally, we discuss strategies to enhance the precision and translational relevance of these models, expanding their impact in stem cell and neuroscience research.
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Affiliation(s)
- Ava V Papetti
- Department of Cell Biology and Neuroscience, Rutgers University-New Brunswick, Piscataway, NJ 08854, USA
| | - Mengmeng Jin
- Department of Cell Biology and Neuroscience, Rutgers University-New Brunswick, Piscataway, NJ 08854, USA
| | - Ziyuan Ma
- Department of Cell Biology and Neuroscience, Rutgers University-New Brunswick, Piscataway, NJ 08854, USA
| | - Alessandro C Stillitano
- Department of Cell Biology and Neuroscience, Rutgers University-New Brunswick, Piscataway, NJ 08854, USA
| | - Peng Jiang
- Department of Cell Biology and Neuroscience, Rutgers University-New Brunswick, Piscataway, NJ 08854, USA.
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7
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Sanchez E, Coughlan GT, Wilkinson T, Ramirez J, Mirza SS, Baril AA, Dilliott AA, Frank A, Lang AE, Hassan A, Pollock BG, Scott CJM, Marras C, Fischer CE, Seitz D, Andriuta D, Dowlatshahi D, Grimes DA, Tang-Wai DF, Sahlas DJ, Rogaeva EA, Finger E, Robinson JF, Tan K, Binns MA, Tartaglia MC, Borrie MJ, Strong MJ, Ozzoude M, Nanayakkara ND, Goncalves RA, Bartha R, Hegele RA, Farhan SMK, Black SE, Kumar S, Symons SP, Haddad SMH, Pasternak SH, Arnott SR, Rajji TK, Steeves T, Swardfager W, Ashton NJ, Kvartsberg H, Zetterberg H, Munoz DP, Masellis M. Association of Plasma Biomarkers With Longitudinal Atrophy and Microvascular Burden on MRI Across Neurodegenerative and Cerebrovascular Diseases. Neurology 2025; 104:e213438. [PMID: 40063856 DOI: 10.1212/wnl.0000000000213438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2024] [Accepted: 01/21/2025] [Indexed: 05/13/2025] Open
Abstract
BACKGROUND AND OBJECTIVES Plasma biomarkers of Alzheimer disease (AD), neuroinflammation, and neurodegeneration are increasingly being used in clinical trials for diagnosis and monitoring of dementia. However, their association with longitudinal structural brain MRI changes, an important outcome measure across neurodegenerative and cerebrovascular diseases, is less known. We investigated how baseline plasma biomarkers reflect MRI markers of progression over time in patients with neurodegenerative and cerebrovascular diseases. METHODS This longitudinal cohort study included patients from the Ontario Neurodegenerative Disease Research Initiative diagnosed with AD or mild cognitive impairment (AD/MCI), Parkinson disease (PD), frontotemporal dementia spectrum disorders (FTD), or cerebrovascular disease (CVD), followed annually for 2 years. Recruitment took place at specialized university-based dementia, movement disorders, and/or stroke clinics in the province of ON, Canada. MRI outcomes included markers of cerebral atrophy (ventricular CSF and regional gray matter volumes) and of small vessel disease pathology (white matter hyperintensity [WMH], perivascular spaces, and lacunar volumes). Hemorrhagic markers at baseline were also included. Plasma levels of glial fibrillary acidic protein (GFAP), neurofilament light chain (NfL), phosphorylated tau181 and tau217 (p-tau181, p-tau217), and β-amyloid (Aβ42/40) were quantified from blood samples collected at baseline using Simoa and used as predictors in linear mixed models adjusted for time (months), age, sex, apolipoprotein E (APOE)-ε4 carrier status, kidney function, vascular risk factors, microtubule-associated protein tau (MAPT) diplotypes, waist-hip circumference ratio, and disease duration. RESULTS We analyzed 1,240 MRIs from 473 patients (age: 69.2 ± 7.4 [range: 49-87]; 32.8% women). Elevated baseline levels of GFAP, NfL, p-tau181, and p-tau217, and to a lesser extent decreased levels of Aβ42/40, were significantly associated with more cerebral atrophy and WMH burden at baseline (|B| = 0.02 to 1.69, p = 0.044 to <0.001) and with progression over time (|B| = 0.001 to 0.028, p = 0.049 to <0.001) in the pooled disease-agnostic group. Within disease-specific cohorts, GFAP and NfL were associated with cerebral atrophy and/or small vessel disease copathology in AD/MCI, PD, FTD, or CVD. P-tau181 and p-tau217 were associated with cerebral atrophy and/or small vessel disease copathology in AD/MCI, CVD, PD-MCI, or PD-dementia. DISCUSSION Selected plasma biomarkers seem useful as prognosis and monitoring tools of longitudinal imaging changes within real-world populations of neurodegenerative and/or cerebrovascular diseases, and provide insight into overlap across diseases in shared pathologic burden.
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Affiliation(s)
- Erlan Sanchez
- L.C. Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Gillian T Coughlan
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Tim Wilkinson
- Centre for Clinical Brain Sciences, University of Edinburgh, United Kingdom
| | - Joel Ramirez
- Dr. Sandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Saira Saeed Mirza
- L.C. Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Andrée-Ann Baril
- Center for Advanced Research in Sleep Medicine, Research Center of the CIUSSS-NIM, Hôpital du Sacré-Coeur de Montréal, Montréal, QC, Canada
- Department of Medicine, Université de Montreal, QC, Canada
| | - Allison A Dilliott
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada
- Montreal Neurological Institute-Hospital, McGill University, QC, Canada
| | - Andrew Frank
- Bruyere Research Institute, University of Ottawa, ON, Canada
| | - Anthony E Lang
- Edmond J Safra Program in Parkinson's Disease and the Rossy PSP Centre, University Health Network, Toronto, ON, Canada
- Division of Neurology, Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, ON, Canada
| | - Ayman Hassan
- Thunder Bay Regional Health Science Centre, Northern Ontario School of Medicine University, ON, Canada
| | - Bruce G Pollock
- Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry and Department of Pharmacology and Toxicology, University of Toronto, ON, Canada
| | - Christopher J M Scott
- Dr. Sandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Connie Marras
- Edmond J Safra Program in Parkinson's disease, University Health Network, University of Toronto, ON, Canada
| | - Corinne E Fischer
- Keenan Research Centre for Biomedical Research, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON, Canada
| | - Dallas Seitz
- Department of Psychiatry and Hotchkiss Brain Institute, University of Calgary, AB, Canada
| | - Daniela Andriuta
- Department of Neurology, Amiens University Medical Center, France
| | - Dar Dowlatshahi
- Department of Medicine, University of Ottawa and Ottawa Hospital Research Institute, ON, Canada
| | - David A Grimes
- Department of Medicine, University of Ottawa and Ottawa Hospital Research Institute, ON, Canada
- Brain and Mind Research Institute, Ottawa, ON, Canada
| | - David F Tang-Wai
- Division of Neurology, Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, ON, Canada
- Krembil Brain Institute, University Health Network, Toronto, ON, Canada
| | - Demetrios J Sahlas
- Division of Neurology, Department of Medicine, McMaster University, Hamilton, ON, Canada
| | - Ekaterina A Rogaeva
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, ON, Canada
| | - Elizabeth Finger
- Department of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON, Canada
| | - John F Robinson
- Robarts Research Institute, Western University, London, ON, Canada
| | - Kubra Tan
- Institute of Neuroscience and Physiology, University of Gothenburg, Mölndal, Sweden
| | - Malcolm A Binns
- Rotman Research Institute, Baycrest Health Sciences, Toronto, ON, Canada
- Department of Public Health Sciences, University of Toronto, ON, Canada
| | - Maria Carmela Tartaglia
- Krembil Brain Institute, University Health Network, Toronto, ON, Canada
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, ON, Canada
| | - Michael J Borrie
- Lawson Health Research Institute, London, ON, Canada
- Schulich School of Medicine & Dentistry, Western University, London, ON, Canada
| | - Michael J Strong
- Department of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON, Canada
| | - Miracle Ozzoude
- Centre for Clinical Brain Sciences, University of Edinburgh, United Kingdom
- Curle Ophthalmology Laboratory, Institute for Regeneration and Repair, University of Edinburgh, United Kingdom
- Edinburgh Imaging Facility, University of Edinburgh, United Kingdom
| | | | - Rafaella A Goncalves
- Gladstone Institutes of Neurological Disease, Gladstone Institutes, San Francisco, CA
| | - Robert Bartha
- Department of Medical Biophysics, Schulich School of Medicine & Dentistry, Robarts Research Institute, Western University, London, ON, Canada
| | - Robert A Hegele
- Robarts Research Institute, Western University, London, ON, Canada
- Department of Medicine, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | - Sali M K Farhan
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada
- Montreal Neurological Institute-Hospital, McGill University, QC, Canada
- Department of Human Genetics, McGill University, Montreal, QC, Canada
| | - Sandra E Black
- Dr. Sandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada
- Division of Neurology, Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, ON, Canada
| | - Sanjeev Kumar
- Geriatric Psychiatry Division, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, ON, M5T 1R8, Canada
| | - Sean P Symons
- Precision Diagnostics and Therapeutics Program, Sunnybrook Research Institute, Toronto, ON, Canada
- Departments of Medical Imaging and Otolaryngology-Head and Neck Surgery, University of Toronto, ON, Canada
| | - Seyyed M H Haddad
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, University of Western Ontario, London, ON, Canada
| | - Stephen H Pasternak
- Department of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON, Canada
- Cognitive Neurology, Parkwood Institute, St. Joseph's Health Care Centre, Western University, London, ON, Canada
| | | | - Tarek K Rajji
- Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, ON, M5T 1R8, Canada
| | - Thomas Steeves
- Division of Neurology, Nuvance Health Vassar Brothers Medical Center, Poughkeepsie, NY
| | - Walter Swardfager
- Dr. Sandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada
- Department of Pharmacology and Toxicology, University of Toronto, ON, Canada
| | - Nicholas J Ashton
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- King's College London, Institute of Psychiatry, Psychology and Neuroscience, Maurice Wohl Clinical Neuroscience Institute, London, United Kingdom
- NIHR Maudsley Biomedical Research Centre, London, United Kingdom
- Centre for Age-Related Medicine, Stavanger University Hospital, Norway
| | - Hlin Kvartsberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, Dementia Research Institute, UCL Queen Square Institute of Neurology, London, United Kingdom
- Hong Kong Center for Neurodegenerative Diseases, HKG, China
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin, Madison; and
| | - Douglas P Munoz
- Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada
| | - Mario Masellis
- L.C. Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON, Canada
- Division of Neurology, Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, ON, Canada
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8
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Abdi Z, Yong K, Schott J, Gatt A, Revesz T, Crutch S, Lashley T. Pathological Characterisation of Posterior Cortical Atrophy in Comparison With Amnestic Alzheimer's Disease. Neuropathol Appl Neurobiol 2025; 51:e70007. [PMID: 40174910 PMCID: PMC11964714 DOI: 10.1111/nan.70007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2024] [Revised: 01/17/2025] [Accepted: 02/12/2025] [Indexed: 04/04/2025]
Abstract
AIMS Posterior cortical atrophy (PCA) is a predominantly young-onset neurodegenerative syndrome, typically caused by Alzheimer's disease (PCA-AD). PCA-AD presents with visual and spatial dysfunction attributed to occipito-parietal or 'posterior' brain regions rather than memory difficulties characteristic of typical amnestic-led Alzheimer's disease (a-AD) attributed to medial temporal regions. Imaging and neuropathological studies suggest that PCA-AD is associated with a more posterior distribution of tau neurofibrillary tangles (NFTs), whereas β-amyloid pathology (Aβ) is diffusely deposited throughout the cortex. This study characterised the neuropathological substrates of PCA-AD in comparison with a-AD, to further understanding of the biological basis of phenotypical heterogeneity in AD. METHODS Immunohistochemistry for Aβ; tau; the microglial markers CD68, CR3-43 and Iba1; α-synuclein; and TDP-43 was carried out on 26 PCA-AD and 27 age and gender-matched a-AD cases at the Queen Square Brain Bank. Aβ, tau and the three microglial markers were quantified in the superior frontal, superior temporal, superior parietal and occipital (primary visual cortex) cortices, with α-synuclein and TDP-43 assessed using formal staging criteria. In addition, microglial circularity, a morphological indicator of microglial activation state, was calculated. RESULTS There was a higher load of Aβ and tau in the parietal region of PCA-AD compared to a-AD. In the PCA-AD compared to the a-AD group, there were significant increases in tau load in parietal and frontal relative to temporal regions. There was no difference in cerebral amyloid angiopathy (CAA) severity between PCA-AD and a-AD. There was a significantly lower temporal CD68 load in a-AD compared with PCA-AD. In a-AD, CD68 load was lowest and tau load highest in the temporal relative to all other regions. CONCLUSIONS This study demonstrates differences in the distribution of Aβ and tau and variations in regional neuroinflammatory response in PCA-AD and a-AD. These findings extend our understanding of the biological substrates underpinning PCA-AD and highlight the potential for exploring phenotypic variants to understand selective vulnerability in neurodegenerative diseases.
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Affiliation(s)
- Z. Abdi
- Department of Neurodegenerative DiseaseUCL Queen Square Institute of Neurology, University College LondonLondonUK
- The Queen Square Brain Bank for Neurological DisordersUCL Queen Square Institute of NeurologyUniversity College LondonLondonUK
| | - K. X. Yong
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of NeurologyUniversity College LondonLondonUK
| | - J. M. Schott
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of NeurologyUniversity College LondonLondonUK
- UK Dementia Research InstituteUniversity College LondonLondon, UK
| | - A. Gatt
- Department of Neurodegenerative DiseaseUCL Queen Square Institute of Neurology, University College LondonLondonUK
| | - T. Revesz
- Department of Neurodegenerative DiseaseUCL Queen Square Institute of Neurology, University College LondonLondonUK
- The Queen Square Brain Bank for Neurological DisordersUCL Queen Square Institute of NeurologyUniversity College LondonLondonUK
| | - S. J. Crutch
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of NeurologyUniversity College LondonLondonUK
| | - T. Lashley
- Department of Neurodegenerative DiseaseUCL Queen Square Institute of Neurology, University College LondonLondonUK
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9
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Zhong X, Jia G, Yin Z, Cheng K, Rzhetsky A, Li B, Cox NJ. Longitudinal Analysis of Electronic Health Records Reveals Medical Conditions Associated with Subsequent Alzheimer's Disease Development. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2025:2025.03.22.25324197. [PMID: 40196258 PMCID: PMC11974777 DOI: 10.1101/2025.03.22.25324197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 04/09/2025]
Abstract
Background Several health conditions are known to increase the risk of Alzheimer's disease (AD). We aim to systematically identify medical conditions that are associated with subsequent development of AD by leveraging the growing resources of electronic health records (EHRs). Methods This retrospective cohort study used de-identified EHRs from two independent databases (MarketScan and VUMC) with 153 million individuals to identify AD cases and age- and gender-matched controls. By tracking their EHRs over a 10-year window before AD diagnosis and comparing the EHRs between AD cases and controls, we identified medical conditions that occur more likely in those who later develop AD. We further assessed the genetic underpinnings of these conditions in relation to AD genetics using data from two large-scale biobanks (BioVU and UK Biobank, total N=450,000). Results We identified 43,508 AD cases and 419,455 matched controls in MarketScan, and 1,320 AD cases and 12,720 matched controls in VUMC. We detected 406 and 102 medical phenotypes that are significantly enriched among the future AD cases in MarketScan and VUMC databases, respectively. In both EHR databases, mental disorders and neurological disorders emerged as the top two most enriched clinical categories. More than 70 medical phenotypes are replicated in both EHR databases, which are dominated by mental disorders (e.g., depression), neurological disorders (e.g., sleep orders), circulatory system disorders (e.g. cerebral atherosclerosis) and endocrine/metabolic disorders (e.g., type 2 diabetes). We identified 19 phenotypes that are either associated with individual risk variants of AD or a polygenic risk score of AD. Conclusions In this study, analysis of longitudinal EHRs from independent large-scale databases enables robust identification of health conditions associated with subsequent development of AD, highlighting potential opportunities of therapeutics and interventions to reduce AD risk.
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Affiliation(s)
- Xue Zhong
- Department of Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN
| | - Gengjie Jia
- Department of Medicine, Institute of Genomics and Systems Biology, University of Chicago, Chicago, IL
| | - Zhijun Yin
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN
| | - Kerou Cheng
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN
| | - Andrey Rzhetsky
- Department of Human Genetics, Department of Medicine, University of Chicago, Chicago, IL
| | - Bingshan Li
- Department of Molecular Physiology and Biophysics, Vanderbilt Genetics Institute, Vanderbilt University, Nashville, TN
| | - Nancy J. Cox
- Department of Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN
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10
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Bangs MC, Gadhavi J, Carter EK, Ping L, Duong DM, Dammer EB, Wu F, Shantaraman A, Fox EJ, Johnson EC, Lah JJ, Levey AI, Seyfried NT. Proteomic Subtyping of Alzheimer's Disease CSF links Blood-Brain Barrier Dysfunction to Reduced levels of Tau and Synaptic Biomarkers. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2025:2025.03.14.643332. [PMID: 40161719 PMCID: PMC11952530 DOI: 10.1101/2025.03.14.643332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/02/2025]
Abstract
Alzheimer's disease (AD) is characterized by significant clinical and molecular heterogeneity, influenced by genetic and demographic factors. Using an unbiased, network-driven approach, we analyzed the cerebrospinal fluid (CSF) proteome from 431 individuals (483 samples), including 111 African American participants, to identify core protein modules associated with AD, race, sex, and age. Our analysis revealed ten co-expression modules linked to distinct biological pathways and cell types, many of which correlated with established AD biomarkers such as β-amyloid, tau, and phosphorylated tau. To further resolve disease heterogeneity, we applied a proteomic subtyping approach, identifying six distinct CSF subtypes spanning the clinical and pathological spectrum. These subtypes were validated across independent cohorts, with many aligning with previously defined AD subtypes, including those linked to neuronal hyperplasticity, immune activation, and blood-brain barrier (BBB) integrity. Notably, the BBB subtype, enriched with African Americans and men, was characterized by low CSF tau, high CSF/serum albumin ratios, and reduced synaptic protein levels. This subtype also exhibited increased levels of proteolytic enzymes, including thrombin and matrix metalloproteases, that cleave tau. Plasma dilution into the neuronal hyperplastic AD subtype CSF led to reduced tau and synaptic protein module levels, indicating that plasma protease activity contributes to tau and synaptic protein depletion independent of underlying brain pathology. These findings highlight the impact of BBB integrity on CSF tau levels, particularly in men and African Americans, and underscore the need for diversity-informed AD biomarker strategies to improve diagnostics and therapeutic targeting across populations.
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Affiliation(s)
- Madison C. Bangs
- Department of Biochemistry, School of Medicine, Emory University, Atlanta, GA 30322, USA
- Center for Neurodegenerative Disease Center, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Joshna Gadhavi
- Department of Biochemistry, School of Medicine, Emory University, Atlanta, GA 30322, USA
- Center for Neurodegenerative Disease Center, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - E. Kathleen Carter
- Department of Biochemistry, School of Medicine, Emory University, Atlanta, GA 30322, USA
- Center for Neurodegenerative Disease Center, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Lingyan Ping
- Department of Biochemistry, School of Medicine, Emory University, Atlanta, GA 30322, USA
- Center for Neurodegenerative Disease Center, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Duc M. Duong
- Department of Biochemistry, School of Medicine, Emory University, Atlanta, GA 30322, USA
- Center for Neurodegenerative Disease Center, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Eric B. Dammer
- Center for Neurodegenerative Disease Center, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Fang Wu
- Department of Biochemistry, School of Medicine, Emory University, Atlanta, GA 30322, USA
- Center for Neurodegenerative Disease Center, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Anantharaman Shantaraman
- Department of Biochemistry, School of Medicine, Emory University, Atlanta, GA 30322, USA
- Center for Neurodegenerative Disease Center, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Edward J. Fox
- Department of Biochemistry, School of Medicine, Emory University, Atlanta, GA 30322, USA
- Center for Neurodegenerative Disease Center, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Erik C.B. Johnson
- Center for Neurodegenerative Disease Center, Emory University School of Medicine, Atlanta, GA 30322, USA
- Goizueta Alzheimer’s Disease Research Center, Emory University School of Medicine, Atlanta, GA 30322, USA
- Department of Neurology, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - James J. Lah
- Center for Neurodegenerative Disease Center, Emory University School of Medicine, Atlanta, GA 30322, USA
- Goizueta Alzheimer’s Disease Research Center, Emory University School of Medicine, Atlanta, GA 30322, USA
- Department of Neurology, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Allan I. Levey
- Center for Neurodegenerative Disease Center, Emory University School of Medicine, Atlanta, GA 30322, USA
- Goizueta Alzheimer’s Disease Research Center, Emory University School of Medicine, Atlanta, GA 30322, USA
- Department of Neurology, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Nicholas T. Seyfried
- Department of Biochemistry, School of Medicine, Emory University, Atlanta, GA 30322, USA
- Center for Neurodegenerative Disease Center, Emory University School of Medicine, Atlanta, GA 30322, USA
- Goizueta Alzheimer’s Disease Research Center, Emory University School of Medicine, Atlanta, GA 30322, USA
- Department of Neurology, Emory University School of Medicine, Atlanta, GA 30322, USA
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11
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Hayes CA, Young CB, Abdelnour C, Reeves A, Odden MC, Nirschl J, Crane PK, Poston KL, Mormino EC, Younes K. The impact of arteriolosclerosis on cognitive impairment in decedents without severe dementia from the National Alzheimer's Coordinating Center. Alzheimers Dement 2025; 21:e70059. [PMID: 40110658 PMCID: PMC11923572 DOI: 10.1002/alz.70059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2024] [Revised: 09/24/2024] [Accepted: 09/25/2024] [Indexed: 03/22/2025]
Abstract
INTRODUCTION Alzheimer's disease neuropathologic change (ADNC), Lewy body disease (LBD), and vascular neuropathologies occur together. Previous studies have been limited by a large majority of participants with severe dementia or advanced stages of pathologies, which limits the detectability of cognitive effects from vascular neuropathologies. METHODS Using neuropathology data from the National Alzheimer's Coordinating Center, we examined the association of vascular neuropathologies with cognitive scores in participants without severe dementia (N = 1526) using multivariable linear regression. RESULTS Controlling for age, sex, education, LBD, and ADNC, arteriolosclerosis was associated with lower memory (β = -0.16 ± 0.06, p < 0.001), executive function (β = -0.25 ± 0.05, p < 0.001), and language scores (β = -0.20 ± 0.05, p < 0.001). The effects of arteriolosclerosis remained when controlling for vascular risk factors. DISCUSSION Vascular neuropathologies exhibit distinct relationships with cognition. Arteriolosclerosis is an independent contributor to cognition. Further research should be conducted on whether arteriolosclerosis can serve as a surrogate marker for cognitive decline in early disease stages. HIGHLIGHTS In individuals who do not have severe dementia, vascular neuropathologies are common, and the combination of pathologies is heterogeneous in a convenience sample from the Alzheimer's Disease Research Center that reported all the neuropathology data elements for this investigation. Arteriolosclerosis is associated with several cognitive domain scores, including memory, executive function, and language when controlling for the effects of Alzheimer's disease neuropathologic change and Lewy body disease. These results reinforce the importance of vascular pathology for cognition among people along the Alzheimer's disease spectrum.
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Affiliation(s)
- Cellas A. Hayes
- Department of Epidemiology and Population HealthStanford University School of MedicinePalo AltoCaliforniaUSA
| | - Christina B. Young
- Department of Neurology and Neurological SciencesStanford University School of MedicinePalo AltoCaliforniaUSA
| | - Carla Abdelnour
- Department of Neurology and Neurological SciencesStanford University School of MedicinePalo AltoCaliforniaUSA
| | - Alexis Reeves
- Department of Epidemiology and Population HealthStanford University School of MedicinePalo AltoCaliforniaUSA
| | - Michelle C. Odden
- Department of Epidemiology and Population HealthStanford University School of MedicinePalo AltoCaliforniaUSA
| | - Jeffrey Nirschl
- Department of PathologyStanford UniversityStanfordCaliforniaUSA
| | - Paul K. Crane
- School of MedicineDepartment of MedicineUniversity of WashingtonSeattleWashingtonUSA
| | - Kathleen L. Poston
- Department of Neurology and Neurological SciencesStanford University School of MedicinePalo AltoCaliforniaUSA
| | - Elizabeth C. Mormino
- Department of Neurology and Neurological SciencesStanford University School of MedicinePalo AltoCaliforniaUSA
- Wu Tsai Neuroscience InstituteStanford UniversityStanfordCaliforniaUSA
| | - Kyan Younes
- Department of Neurology and Neurological SciencesStanford University School of MedicinePalo AltoCaliforniaUSA
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12
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Forrest SL, Kovacs GG. Current concepts and molecular pathology of neurodegenerative diseases. Pathology 2025; 57:178-190. [PMID: 39672768 DOI: 10.1016/j.pathol.2024.10.006] [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: 10/15/2024] [Accepted: 10/27/2024] [Indexed: 12/15/2024]
Abstract
Neurodegenerative diseases are a pathologically, clinically and genetically diverse group of diseases characterised by selective dysfunction, loss of synaptic connectivity and neurodegeneration, and are associated with the deposition of misfolded proteins in neurons and/or glia. Molecular studies have highlighted the role of conformationally altered proteins in the pathogenesis of neurodegenerative diseases and have paved the way for developing disease-specific biomarkers that capture and differentiate the main type/s of protein abnormality responsible for neurodegenerative diseases, some of which are currently used in clinical practice. These proteins follow sequential patterns of anatomical involvement and disease spread in the brain and may also be detected in peripheral organs. Recent studies suggest that glia are likely to have an important role in pathological spread throughout the brain and even follow distinct progression patterns from neurons. In addition to morphological and molecular approaches to the classification of these disorders, a further new stratification level incorporates the structure of protein filaments detected by cryogenic electron microscopy. Rather than occurring in isolation, combined deposition of tau, amyloid-β, α-synuclein and TDP-43 are frequently observed in neurodegenerative diseases and in the ageing brain. These can be overlooked, and their clinicopathological relevance is difficult to interpret. This review provides an overview of disease pathogenesis and diagnostic implications, recent molecular and ultrastructural classification of neurodegenerative diseases, how to approach ageing-related and mixed pathologies, and the importance of the protein-based classification system for practising neuropathologists and clinicians. This review also informs general pathologists about the relevance of ongoing full body autopsy studies to understand the spectrum and pathogenesis of neurodegenerative diseases.
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Affiliation(s)
- Shelley L Forrest
- Tanz Centre for Research in Neurodegenerative Disease, University of Toronto, Toronto, ON, Canada; Laboratory Medicine Program and Krembil Brain Institute, University Health Network, Toronto, ON, Canada; Dementia Research Centre, Macquarie Medical School, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia
| | - Gabor G Kovacs
- Tanz Centre for Research in Neurodegenerative Disease, University of Toronto, Toronto, ON, Canada; Laboratory Medicine Program and Krembil Brain Institute, University Health Network, Toronto, ON, Canada; Dementia Research Centre, Macquarie Medical School, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia; Edmond J. Safra Program in Parkinson's Disease, Rossy PSP Centre and the Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital, Toronto, ON, Canada; Department of Laboratory Medicine and Pathobiology and Department of Medicine, University of Toronto, Toronto, ON, Canada.
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13
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Sampson T. Microbial amyloids in neurodegenerative amyloid diseases. FEBS J 2025; 292:1265-1281. [PMID: 38041542 PMCID: PMC11144261 DOI: 10.1111/febs.17023] [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: 09/05/2023] [Revised: 11/13/2023] [Accepted: 11/30/2023] [Indexed: 12/03/2023]
Abstract
Human-disease associated amyloidogenic proteins are not unique in their ability to form amyloid fibrillar structures. Numerous microbes produce amyloidogenic proteins that have distinct functions for their physiology in their amyloid form, rather than solely detrimental. Emerging data indicate associations between various microbial organisms, including those which produce functional amyloids, with neurodegenerative diseases. Here, we review some of the evidence suggesting that microbial amyloids impact amyloid disease in host organisms. Experimental data are building a foundation for continued lines of enquiry and suggest that that direct or indirect interactions between microbial and host amyloids may be a contributor to amyloid pathologies. Inhibiting microbial amyloids or their interactions with the host may therefore represent a tangible target to limit various amyloid pathologies.
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Affiliation(s)
- Timothy Sampson
- Department of Cell BiologyEmory University School of MedicineAtlantaGAUSA
- Aligning Science Across Parkinson's (ASAP) Collaborative Research NetworkChevy ChaseMDUSA
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14
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D'Antonio F, Vivacqua G, Serrentino M, Nalepa M, Skweres A, Peconi M, De Bartolo MI, Panigutti M, Sepe Monti M, Talarico G, Fabbrini G, Bruno G. Salivary biomarkers for the molecular diagnosis of dementia with Lewy bodies. J Alzheimers Dis 2025; 104:452-462. [PMID: 40084669 DOI: 10.1177/13872877251317720] [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: 03/16/2025]
Abstract
BackgroundDespite dementia with Lewy bodies (DLB) being the second most common form of neurodegenerative dementia, more than 80% of DLB cases are initially misdiagnosed. Alpha-synuclein (a-syn) and tau species have been detected in peripheral tissues and biological fluids of DLB patients and among different biological fluids, saliva represent an easely accessible and non-invasive source for biomarker detection.ObjectiveThis study aimed to investigate salivary a-syn and tau species as molecular disease biomarkers, assessing their potential in the diagnosis of DLB and in the differential diagnosis on respect to Alzheimer's disease (AD) and Parkinson's disease (PD).MethodsWe measured total and oligomeric a-syn, total-tau, and S199-phosphorylated-tau (pS199-tau) in the saliva of 21 DLB, 20 AD, 20 PD patients, and 20 healthy subjects (HS) using quantitative enzyme-linked immunosorbent assay (ELISA) analyses.ResultsSalivary total a-syn was not significantly changed between the different groups, whereas all pathological groups had a higher oligomeric a-syn concentration than HS. Salivary total-tau concentration was higher in all the pathological groups than HS, whereas the concentrations did not differ among patients' groups. Conversely, salivary levels of pS199-tau was higher in DLB and AD patients than in HS and PD patients. Both correlation matrix and principal component analysis showed that core clinical DLB features were related to a-syn pathology, while cognitive decline was associated with salivary levels of pS199-tau in both DLB and AD patients. Receiver operating characteristic analysis reported high diagnostic accuracy for both a-syn oligomers and pS199-tau, between DLB and HS, and an adequate accuracy between DLB and PD. Conversely, the diagnostic accuracy was not optimal between DLB patients and AD patients.ConclusionsThese findings provide preliminary evidence that salivary a-syn and tau species might be promising in identifying DLB patients on respect to PD patients and HS, while the diagnostic potential is limited on respect to AD.
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Affiliation(s)
- Fabrizia D'Antonio
- Department of Human Neuroscience, Sapienza University of Rome, Rome, Italy
- Cognitive and Motor Rehabilitation and Neuroimaging Unit, IRCCS Fondazione Santa Lucia, Rome, Italy
| | - Giorgio Vivacqua
- Department of Microscopic and Ultrastructural Anatomy, Campus Biomedico University of Roma, Roma, Italy
| | - Marco Serrentino
- Department of Human Neuroscience, Sapienza University of Rome, Rome, Italy
| | - Martyna Nalepa
- Department of Microscopic and Ultrastructural Anatomy, Campus Biomedico University of Roma, Roma, Italy
- Laboratory of Molecular Basis of Neurodegeneration, Mossakowski Medical Research Institute, Polish Academy of Science, Warsaw, Poland
| | - Aleksandra Skweres
- Department of Microscopic and Ultrastructural Anatomy, Campus Biomedico University of Roma, Roma, Italy
- Laboratory of Molecular Basis of Neurodegeneration, Mossakowski Medical Research Institute, Polish Academy of Science, Warsaw, Poland
| | - Martina Peconi
- Department of Human Neuroscience, Sapienza University of Rome, Rome, Italy
| | | | | | - Micaela Sepe Monti
- Department of Human Neuroscience, Sapienza University of Rome, Rome, Italy
| | | | - Giovanni Fabbrini
- Department of Human Neuroscience, Sapienza University of Rome, Rome, Italy
| | - Giuseppe Bruno
- Department of Human Neuroscience, Sapienza University of Rome, Rome, Italy
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15
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Fixemer S, Miranda de la Maza M, Hammer GP, Jeannelle F, Schreiner S, Gérardy JJ, Boluda S, Mirault D, Mechawar N, Mittelbronn M, Bouvier DS. Microglia aggregates define distinct immune and neurodegenerative niches in Alzheimer's disease hippocampus. Acta Neuropathol 2025; 149:19. [PMID: 39954093 PMCID: PMC11829914 DOI: 10.1007/s00401-025-02857-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2024] [Revised: 01/16/2025] [Accepted: 02/02/2025] [Indexed: 02/17/2025]
Abstract
In Alzheimer's disease (AD), microglia form distinct cellular aggregates that play critical roles in disease progression, including Aβ plaque-associated microglia (PaM) and the newly identified coffin-like microglia (CoM). PaM are closely associated with amyloid-β (Aβ) plaques, while CoM are enriched in the pyramidal layer of the CA2/CA1 hippocampal subfields, where they frequently engulf neurons and associate with tau-positive tangles and phosphorylated α-synuclein. To elucidate the role of these microglial subtypes, we employed high-content neuropathology, integrating Deep Spatial Profiling (DSP), multiplex chromogenic immunohistochemistry and confocal microscopy, to comprehensively map and characterise their morphological and molecular signatures, as well as their neuropathological and astrocytic microenvironments, in AD and control post-mortem samples. PaM and PaM-associated astrocytes exhibited signatures related to complement system pathways, ErbB signalling, and metabolic and neurodegenerative processes. In contrast, CoM displayed markers associated with protein degradation and immune signalling pathways, including STING, TGF-β, and NF-κB. While no direct association between CD8 + T cells and either microglial type was observed, CD163 + perivascular macrophages were frequently incorporated into PaM. These findings provide novel insights into the heterogeneity of microglial responses, in particular their distinct interactions with astrocytes and infiltrating immune cells, and shed light on specific neurodegenerative hotspots and their implications for hippocampal deterioration in AD.
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Affiliation(s)
- Sonja Fixemer
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Belval, Luxembourg
- Luxembourg Center of Neuropathology (LCNP), Dudelange, Luxembourg
| | - Mónica Miranda de la Maza
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Belval, Luxembourg
- Luxembourg Center of Neuropathology (LCNP), Dudelange, Luxembourg
- Laboratoire National de Santé (LNS), National Center of Pathology (NCP), 1, Rue Louis Rech, 3555, Dudelange, Luxembourg
- Department of Cancer Research (DOCR), Luxembourg Institute of Health (LIH), Strassen, Luxembourg
| | - Gaël Paul Hammer
- Luxembourg Center of Neuropathology (LCNP), Dudelange, Luxembourg
- Laboratoire National de Santé (LNS), National Center of Pathology (NCP), 1, Rue Louis Rech, 3555, Dudelange, Luxembourg
| | - Félicia Jeannelle
- Luxembourg Center of Neuropathology (LCNP), Dudelange, Luxembourg
- Laboratoire National de Santé (LNS), National Center of Pathology (NCP), 1, Rue Louis Rech, 3555, Dudelange, Luxembourg
| | - Sophie Schreiner
- Luxembourg Center of Neuropathology (LCNP), Dudelange, Luxembourg
- Laboratoire National de Santé (LNS), National Center of Pathology (NCP), 1, Rue Louis Rech, 3555, Dudelange, Luxembourg
| | - Jean-Jacques Gérardy
- Luxembourg Center of Neuropathology (LCNP), Dudelange, Luxembourg
- Laboratoire National de Santé (LNS), National Center of Pathology (NCP), 1, Rue Louis Rech, 3555, Dudelange, Luxembourg
| | - Susana Boluda
- Department of Neuropathology, Pitié-Salpêtrière Hospital, AP-HP Sorbonne University, Paris, France
- Institut du Cerveau, Paris Brain Institute, ICM, Inserm U1127, CNRS UMR7225, APHP, Sorbonne University, Pitié-Salpêtrière Hospital, Paris, France
| | - Dominique Mirault
- Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
| | - Naguib Mechawar
- Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Michel Mittelbronn
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Belval, Luxembourg
- Luxembourg Center of Neuropathology (LCNP), Dudelange, Luxembourg
- Laboratoire National de Santé (LNS), National Center of Pathology (NCP), 1, Rue Louis Rech, 3555, Dudelange, Luxembourg
- Department of Cancer Research (DOCR), Luxembourg Institute of Health (LIH), Strassen, Luxembourg
- Department of Life Sciences and Medicine (DLSM), University of Luxembourg, Esch-sur-Alzette, Luxembourg
- Faculty of Science, Technology and Medicine (FSTM), University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - David S Bouvier
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Belval, Luxembourg.
- Luxembourg Center of Neuropathology (LCNP), Dudelange, Luxembourg.
- Laboratoire National de Santé (LNS), National Center of Pathology (NCP), 1, Rue Louis Rech, 3555, Dudelange, Luxembourg.
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Huang Y, Shang L, Li B, Wang T, Zhang X, Wei J, Mao C, Gao J. Normal pressure hydrocephalus combined with quadruple misfolded proteinopathy: An autopsy case report and a short review of literature. J Neuropathol Exp Neurol 2025:nlaf006. [PMID: 39921653 DOI: 10.1093/jnen/nlaf006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/10/2025] Open
Affiliation(s)
- Yixuan Huang
- Department of Neurology, State Key Laboratory of Complex Severe and Rare Disease, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Li Shang
- Department of Neurology, State Key Laboratory of Complex Severe and Rare Disease, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Bo Li
- Department of Neurology, State Key Laboratory of Complex Severe and Rare Disease, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Tianyi Wang
- Department of Neurology, State Key Laboratory of Complex Severe and Rare Disease, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Xiao Zhang
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Junji Wei
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Chenhui Mao
- Department of Neurology, State Key Laboratory of Complex Severe and Rare Disease, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Jing Gao
- Department of Neurology, State Key Laboratory of Complex Severe and Rare Disease, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
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Hu Q, Zhou X, Xiao Z, Zhao Q, Ding D, Zhang J. White matter injury, plasma Alzheimer's disease, and neurodegenerative biomarkers on cognitive decline in community-dwelling older adults: A 10-year longitudinal study. Alzheimers Dement 2025; 21:e14594. [PMID: 39935410 PMCID: PMC11815209 DOI: 10.1002/alz.14594] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2024] [Revised: 12/21/2024] [Accepted: 01/12/2025] [Indexed: 02/13/2025]
Abstract
INTRODUCTION This study aimed to investigate the synergistic impact of white matter injury, Alzheimer's disease, and neurodegenerative pathology on long-term cognitive decline and dementia risk in older adults. METHODS We included 262 dementia-free participants with baseline and follow-up interviews (2010-2021). At baseline, peak width of skeletonized mean diffusivity (PSMD) was assessed from diffusion tensor imaging. Plasma phosphorylated tau 217 (p-tau217) and neurofilament light chain (NfL) were measured using a single-molecule immune-array assay. Cognitive function was evaluated using Mini-Mental State Examination (MMSE) and domain-specific cognitive tests. RESULTS Participants with high-level PSMD, p-tau217, and NfL showed the fastest decline of MMSE (β = -0.30) and the highest dementia incidence of 3.54/100 person-years. A combination model with three markers demonstrated a good predictive value for dementia, incorporating age, sex, education, and apolipoprotein E (area under the curve = 0.93, 95% confidence interval = 0.86, 0.99). DISCUSSION Combining co-pathology markers may identify individuals with a high risk of cognitive decline. HIGHLIGHTS Peak width of skeletonized mean diffusivity (PSMD) was correlated with long-term cognitive decline, and this correlation was modified by plasma phosphorylated tau (p-tau)217 and neurofilament light chain (NfL). Participants with high levels of PSMD, p-tau217, and NfL showed the fastest cognitive decline and the highest risk of dementia. A combination of the three markers exhibited a good predictive value of incident dementia over a 10-year follow-up period.
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Affiliation(s)
- Qili Hu
- Department of RadiologyHuashan Hospital, State Key Laboratory of Medical Neurobiology, Fudan UniversityShanghaiChina
| | - Xiaowen Zhou
- Institute of NeurologyHuashan Hospital, Fudan UniversityShanghaiChina
- National Clinical Research Center for Aging and MedicineHuashan HospitalFudan UniversityShanghaiChina
- National Center for Neurological DisordersHuashan HospitalFudan UniversityShanghaiChina
| | - Zhenxu Xiao
- Institute of NeurologyHuashan Hospital, Fudan UniversityShanghaiChina
- National Clinical Research Center for Aging and MedicineHuashan HospitalFudan UniversityShanghaiChina
- National Center for Neurological DisordersHuashan HospitalFudan UniversityShanghaiChina
| | - Qianhua Zhao
- Institute of NeurologyHuashan Hospital, Fudan UniversityShanghaiChina
- National Clinical Research Center for Aging and MedicineHuashan HospitalFudan UniversityShanghaiChina
- National Center for Neurological DisordersHuashan HospitalFudan UniversityShanghaiChina
- MOE Frontiers Center for Brain ScienceFudan UniversityShanghaiChina
| | - Ding Ding
- Institute of NeurologyHuashan Hospital, Fudan UniversityShanghaiChina
- National Clinical Research Center for Aging and MedicineHuashan HospitalFudan UniversityShanghaiChina
- National Center for Neurological DisordersHuashan HospitalFudan UniversityShanghaiChina
| | - Jun Zhang
- Department of RadiologyHuashan Hospital, State Key Laboratory of Medical Neurobiology, Fudan UniversityShanghaiChina
- National Clinical Research Center for Aging and MedicineHuashan HospitalFudan UniversityShanghaiChina
- National Center for Neurological DisordersHuashan HospitalFudan UniversityShanghaiChina
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18
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Ioannou K, Bucci M, Tzortzakakis A, Savitcheva I, Nordberg A, Chiotis K. Tau PET positivity predicts clinically relevant cognitive decline driven by Alzheimer's disease compared to comorbid cases; proof of concept in the ADNI study. Mol Psychiatry 2025; 30:587-599. [PMID: 39179903 PMCID: PMC11746147 DOI: 10.1038/s41380-024-02672-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 06/26/2024] [Accepted: 07/09/2024] [Indexed: 08/26/2024]
Abstract
β-amyloid (Aβ) pathology is not always coupled with Alzheimer's disease (AD) relevant cognitive decline. We assessed the accuracy of tau PET to identify Aβ(+) individuals who show prospective disease progression. 396 cognitively unimpaired and impaired individuals with baseline Aβ and tau PET and a follow-up of ≥ 2 years were selected from the Alzheimer's Disease Neuroimaging Initiative dataset. The participants were dichotomously grouped based on either clinical conversion (i.e., change of diagnosis) or cognitive deterioration (fast (FDs) vs. slow decliners (SDs)) using data-driven clustering of the individual annual rates of cognitive decline. To assess cognitive decline in individuals with isolated Aβ(+) or absence of both Aβ and tau (T) pathologies, we investigated the prevalence of non-AD comorbidities and FDG PET hypometabolism patterns suggestive of AD. Baseline tau PET uptake was higher in Aβ(+)FDs than in Aβ(-)FD/SDs and Aβ(+)SDs, independently of baseline cognitive status. Baseline tau PET uptake identified MCI Aβ(+) Converters and Aβ(+)FDs with an area under the curve of 0.85 and 0.87 (composite temporal region of interest) respectively, and was linearly related to the annual rate of cognitive decline in Aβ(+) individuals. The T(+) individuals constituted largely a subgroup of those being Aβ(+) and those clustered as FDs. The most common biomarker profiles in FDs (n = 70) were Aβ(+)T(+) (n = 34, 49%) and Aβ(+)T(-) (n = 19, 27%). Baseline Aβ load was higher in Aβ(+)T(+)FDs (M = 83.03 ± 31.42CL) than in Aβ(+)T(-)FDs (M = 63.67 ± 26.75CL) (p-value = 0.038). Depression diagnosis was more prevalent in Aβ(+)T(-)FDs compared to Aβ(+)T(+)FDs (47% vs. 15%, p-value = 0.021), as were FDG PET hypometabolism pattern not suggestive of AD (86% vs. 50%, p-value = 0.039). Our findings suggest that high tau PET uptake is coupled with both Aβ pathology and accelerated cognitive decline. In cases of isolated Aβ(+), cognitive decline may be associated with changes within the AD spectrum in a multi-morbidity context, i.e., mixed AD.
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Affiliation(s)
- Konstantinos Ioannou
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Marco Bucci
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
- Theme Inflammation and Aging, Karolinska University Hospital, Stockholm, Sweden
| | - Antonios Tzortzakakis
- Division of Radiology, Department for Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, Stockholm, Sweden
- Medical Radiation Physics and Nuclear Medicine, Section for Nuclear Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Irina Savitcheva
- Medical Radiation Physics and Nuclear Medicine, Section for Nuclear Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Agneta Nordberg
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
- Theme Inflammation and Aging, Karolinska University Hospital, Stockholm, Sweden
| | - Konstantinos Chiotis
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.
- Department of Neurology, Karolinska University Hospital, Stockholm, Sweden.
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Negro G, Rossi M, Imbimbo C, Gatti A, Magi A, Appollonio IM, Costa A, Poloni TE. Investigating neuropathological correlates of hyperactive and psychotic symptoms in dementia: a systematic review. FRONTIERS IN DEMENTIA 2025; 4:1513644. [PMID: 39949536 PMCID: PMC11814221 DOI: 10.3389/frdem.2025.1513644] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/18/2024] [Accepted: 01/09/2025] [Indexed: 02/16/2025]
Abstract
Introduction Behavioral and Psychological Symptoms of Dementia (BPSD) are common neuropsychiatric manifestations that complicate the clinical course of dementia and impact caregiving. Among these, the Hyperactivity-Impulsivity-Irritiability-Disinhibition-Aggression-Agitation (HIDA) and Psychosis (P) domains are particularly challenging to manage. Despite their prevalence, their underlying mechanisms and neuropathological correlates, remain poorly understood. This systematic review aims to elucidate the neuropathological basis of the HIDA and psychosis domains, exploring whether distinct proteinopathies and neural circuit dysfunctions are associated with these symptoms. Methods The review follows PRISMA guidelines, with a systematic search conducted across MEDLINE, CENTRAL, and EMBASE databases. Inclusion criteria involved studies exploring the neuropathology of the HIDA and psychosis domains in individuals with dementia. Records were screened using PICO software, and data quality was assessed using the Newcastle-Ottawa Scale (NOS) and CARE guidelines. A narrative synthesis was conducted due to heterogeneity in the data. Results From 846 records identified, 37 studies met inclusion criteria. Of the 18,823 cases analyzed, the most common diagnoses were Alzheimer's Disease (83.44%), Dementia with Lewy Bodies (5.37%), and Frontotemporal Dementia (13.40%). HIDA-P symptoms were distributed across all clinical diagnoses, with agitation (14.00%), delusions (11.60%), disinhibition (7.61%), and hallucinations (6.83%) being the most frequently reported behaviors. The primary neuropathological diagnosis was Alzheimer's Disease Neuropathologic Change (ADNC), present predominantly in intermediate to severe forms. The neuropathological analysis revealed the co-occurrence of multiple proteinopathies, particularly TAUopathy, TDP-43 pathology, and Lewy-related pathology (LRP), with the latter, in association with ADNC, reported in 15 studies. Discussion HIDA-P symptoms were linked with overlapping involvement of different neural circuits, particularly the amygdala and the broader limbic system. Evidence suggests that TAUopathy and multiple proteinopathies in key brain regions, such as amygdala, are central to the development of these symptoms. In contrast, the contribution of beta-amyloid and vascular damage appears marginal in the genesis of HIDA and psychotic symptoms. No behavioral symptom is pathognomonic of a specific proteinopathy; rather, the topography and severity of lesions plays a more decisive role than their single molecular composition. Systematic review registration INPLASY2024100082.
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Affiliation(s)
- Giulia Negro
- Neurology Department, Fondazione IRCCS San Gerardo dei Tintori, San Gerardo Hospital, Monza, Italy
- School of Medicine and Surgery and Milan Centre for Neuroscience (NeuroMI), University of Milano-Bicocca, Milan, Italy
| | - Michele Rossi
- Unit of Biostatistics, Golgi-Cenci Foundation, Abbiategrasso, Milan, Italy
| | - Camillo Imbimbo
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Alberto Gatti
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Andrea Magi
- Neurology Department, Fondazione IRCCS San Gerardo dei Tintori, San Gerardo Hospital, Monza, Italy
- School of Medicine and Surgery and Milan Centre for Neuroscience (NeuroMI), University of Milano-Bicocca, Milan, Italy
| | - Ildebrando Marco Appollonio
- Neurology Department, Fondazione IRCCS San Gerardo dei Tintori, San Gerardo Hospital, Monza, Italy
- School of Medicine and Surgery and Milan Centre for Neuroscience (NeuroMI), University of Milano-Bicocca, Milan, Italy
| | - Alfredo Costa
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
- Unit of Behavioral Neurology and Center for Cognitive Disorders and Dementia (CDCD), IRCCS Mondino Foundation, Pavia, Italy
| | - Tino Emanuele Poloni
- Department of Neurology and Neuropathology, Golgi-Cenci Foundation, Abbiategrasso, Milan, Italy
- Department of Rehabilitation, ASP Golgi-Redaelli, Abbiategrasso, Milan, Italy
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20
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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.
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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
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21
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Cherdak MA, Mkhitaryan EA, Tkacheva ON. [Differential diagnosis of Alzheimer's disease and vascular cognitive disorders]. Zh Nevrol Psikhiatr Im S S Korsakova 2025; 125:26-35. [PMID: 40420448 DOI: 10.17116/jnevro202512504226] [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: 05/28/2025]
Abstract
Cognitive disorders (CD) are a common problem in the practice of various medical specialities. Among the most common causes of severe CD (dementia) are Alzheimer's disease (AD) and cerebrovascular diseases. The stage of non-dementia CD precedes dementia. Interventions at the non-dementia stage are believed to be more effective, prolonging the patient's quality of life at a higher functional level with a decrease in the need for nursing care. Currently, there is a pronounced underdiagnosis of CD, especially AD, which reduces the timely availability of specific drug therapy for patients and adversely affects the prognosis of the disease. The article presents basic information on the pathogenesis and methods of clinical and paraclinical diagnosis of AD and CD of vascular origin. The main markers helping to distinguish these diseases and diagnose them at the predementia stage have been identified.
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Affiliation(s)
- M A Cherdak
- Pirogov Russian National Research Medical University (Pirogov University), Moscow, Russia
| | - E A Mkhitaryan
- Pirogov Russian National Research Medical University (Pirogov University), Moscow, Russia
| | - O N Tkacheva
- Pirogov Russian National Research Medical University (Pirogov University), Moscow, Russia
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22
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Mahavar A, Patel A, Patel A. A Comprehensive Review on Deep Learning Techniques in Alzheimer's Disease Diagnosis. Curr Top Med Chem 2025; 25:335-349. [PMID: 38847164 DOI: 10.2174/0115680266310776240524061252] [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: 03/10/2024] [Revised: 04/13/2024] [Accepted: 04/22/2024] [Indexed: 04/25/2025]
Abstract
Alzheimer's Disease (AD) is a serious neurological illness that causes memory loss gradually by destroying brain cells. This deadly brain illness primarily strikes the elderly, impairing their cognitive and bodily abilities until brain shrinkage occurs. Modern techniques are required for an accurate diagnosis of AD. Machine learning has gained attraction in the medical field as a means of determining a person's risk of developing AD in its early stages. One of the most advanced soft computing neural network-based Deep Learning (DL) methodologies has garnered significant interest among researchers in automating early-stage AD diagnosis. Hence, a comprehensive review is necessary to gain insights into DL techniques for the advancement of more effective methods for diagnosing AD. This review explores multiple biomarkers associated with Alzheimer's Disease (AD) and various DL methodologies, including Deep Neural Networks (DNN), Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), The k-nearest-neighbor (k-NN), Deep Boltzmann Machines (DBM), and Deep Belief Networks (DBN), which have been employed for automating the early diagnosis of AD. Moreover, the unique contributions of this review include the classification of ATN biomarkers for Alzheimer's Disease (AD), systemic description of diverse DL algorithms for early AD assessment, along with a discussion of widely utilized online datasets such as ADNI, OASIS, etc. Additionally, this review provides perspectives on future trends derived from critical evaluation of each variant of DL techniques across different modalities, dataset sources, AUC values, and accuracies.
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Affiliation(s)
- Anjali Mahavar
- Chandaben Mohanbhai Patel Institute of Computer Application, Charotar University of Science and Technology, CHARUSAT-Campus, Changa, 388421, Anand, Gujarat, India
| | - Atul Patel
- Chandaben Mohanbhai Patel Institute of Computer Application, Charotar University of Science and Technology, CHARUSAT-Campus, Changa, 388421, Anand, Gujarat, India
| | - Ashish Patel
- Ramanbhai Patel College of Pharmacy, Charotar University of Science and Technology, CHARUSAT- Campus, Changa, 388421, Anand, Gujarat, India
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23
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Wang X, Zhu K, Wu W, Zhou D, Lu H, Du J, Cai L, Yan X, Li W, Qian X, Wang X, Ma C, Hu Y, Tian C, Sun B, Fang Z, Wu J, Jiang P, Liu J, Liu C, Fan J, Cui H, Shen Y, Duan S, Bao A, Yang Y, Qiu W, Zhang J. Prevalence of mixed neuropathologies in age-related neurodegenerative diseases: A community-based autopsy study in China. Alzheimers Dement 2025; 21:e14369. [PMID: 39582417 PMCID: PMC11782840 DOI: 10.1002/alz.14369] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2024] [Revised: 10/02/2024] [Accepted: 10/04/2024] [Indexed: 11/26/2024]
Abstract
INTRODUCTION Despite extensive studies on mixed neuropathologies, data from China are limited. This study aims to fill this gap by analyzing brain samples from Chinese brain banks. METHODS A total of 1142 brains from six Chinese brain banks were examined using standardized methods. Independent pathologists conducted evaluations with stringent quality control. Prevalence and correlations of neurological disorders were analyzed. RESULTS Significant proportions of brains displayed primary age-related tauopathy (PART, 35%), limbic-predominant age-related TDP-43 encephalopathy (LATE, 46%), and aging-related tau astrogliopathy (ARTAG, 12%). Alzheimer's disease neuropathological change (ADNC, 48%), Lewy body disease (LBD, 13%), and cerebrovascular disease (CVD, 63%) were also prevalent, often co-occurring with regional variations. CVD emerged as the potential most early contributor to neuropathological changes. DISCUSSION This analysis highlights the prevalence of PART, LATE, ARTAG, ADNC, LBD, and CVD, with regional differences. The findings suggest CVD may be the earliest contributing factor, potentially preceding other neuropathologies. Highlights The prevalence of primary age-related tauopathy (PART), limbic-predominant age-related TDP-43 encephalopathy (LATE), aging-related tau astrogliopathy (ARTAG), Alzheimer's disease neuropathologic change, Lewy body disease, and cerebrovascular disease (CVD) in China, increasing with age, is comparable to other countries. Significant regional differences in the prevalences of diseases are noted. CVD develops prior to any other disorders, including PART, LATE, and ARTAG.
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Yoshida K, Forrest SL, Ichimata S, Tanaka H, Kon T, Kovacs GG. Co-pathologies modify hippocampal protein accumulation patterns in neurodegenerative diseases. Alzheimers Dement 2025; 21:e14355. [PMID: 39711489 PMCID: PMC11782183 DOI: 10.1002/alz.14355] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Revised: 08/23/2024] [Accepted: 09/17/2024] [Indexed: 12/24/2024]
Abstract
INTRODUCTION Limited research has extensively analyzed neurodegenerative disease-related protein deposition patterns in the hippocampus. METHODS This study examined the distribution of proteins in hippocampal subregions across major neurodegenerative diseases and explored their relation to each other. The area density of phosphorylated tau (p-tau), amyloid beta (Aβ), α-synuclein, and phosphorylated TDP-43 protein deposits together with pyramidal cell density in each hippocampal subregion, including CA1-4, prosubiculum (ProS), and subiculum was assessed in 166 cases encompassing various neurodegenerative diseases. RESULTS Alzheimer's disease-associated p-tau predominated in ProS, Aβ in the CA1, and Lewy body-related α-synuclein in the CA2. The area density of protein deposits increased with the pathological stage until a peak, then decreased in cases with high pathology stages along with pyramidal cell density. Comorbid protein pathology influenced protein deposition patterns. DISCUSSION This comprehensive evaluation reveals characteristic neurodegenerative disease-related protein accumulation patterns in hippocampal subregions modified by co-pathologies. HIGHLIGHTS Alzheimer's disease-related phosphorylated tau predominates in the prosubiculum. Amyloid beta predominates in the CA1 and Lewy body-related α-synuclein in the CA2. The area density of protein deposition increases with the disease stage up to a peak. In the high pathology stage, protein deposition and pyramidal cell density decreases. Comorbid protein pathology affects the pattern of protein accumulation.
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Affiliation(s)
- Koji Yoshida
- Department of Laboratory Medicine and Pathobiology and Department of MedicineUniversity of TorontoTorontoOntarioCanada
- Tanz Centre for Research in Neurodegenerative DiseaseKrembil Discovery TowerUniversity of TorontoTorontoOntarioCanada
- Department of Legal MedicineGraduate School of Medicine and Pharmaceutical SciencesUniversity of ToyamaToyamaJapan
| | - Shelley L. Forrest
- Department of Laboratory Medicine and Pathobiology and Department of MedicineUniversity of TorontoTorontoOntarioCanada
- Tanz Centre for Research in Neurodegenerative DiseaseKrembil Discovery TowerUniversity of TorontoTorontoOntarioCanada
- Laboratory Medicine Program & Krembil Brain InstituteUniversity Health NetworkTorontoOntarioCanada
- Department of NeurologyDementia Research CentreMacquarie Medical SchoolFaculty of MedicineHealth and Human SciencesMacquarie UniversitySydneyAustralia
| | - Shojiro Ichimata
- Department of Laboratory Medicine and Pathobiology and Department of MedicineUniversity of TorontoTorontoOntarioCanada
- Tanz Centre for Research in Neurodegenerative DiseaseKrembil Discovery TowerUniversity of TorontoTorontoOntarioCanada
- Department of Legal MedicineGraduate School of Medicine and Pharmaceutical SciencesUniversity of ToyamaToyamaJapan
| | - Hidetomo Tanaka
- Department of Laboratory Medicine and Pathobiology and Department of MedicineUniversity of TorontoTorontoOntarioCanada
- Tanz Centre for Research in Neurodegenerative DiseaseKrembil Discovery TowerUniversity of TorontoTorontoOntarioCanada
| | - Tomoya Kon
- Department of Laboratory Medicine and Pathobiology and Department of MedicineUniversity of TorontoTorontoOntarioCanada
- Tanz Centre for Research in Neurodegenerative DiseaseKrembil Discovery TowerUniversity of TorontoTorontoOntarioCanada
- Graduate School of MedicineHirosaki UniversityHirosakiJapan
| | - Gabor G. Kovacs
- Department of Laboratory Medicine and Pathobiology and Department of MedicineUniversity of TorontoTorontoOntarioCanada
- Tanz Centre for Research in Neurodegenerative DiseaseKrembil Discovery TowerUniversity of TorontoTorontoOntarioCanada
- Laboratory Medicine Program & Krembil Brain InstituteUniversity Health NetworkTorontoOntarioCanada
- Department of NeurologyDementia Research CentreMacquarie Medical SchoolFaculty of MedicineHealth and Human SciencesMacquarie UniversitySydneyAustralia
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25
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Nelson PT. New criteria to predict LATE-NC in the clinical setting: Probable/Possible LATE and LANS. J Neuropathol Exp Neurol 2025; 84:2-7. [PMID: 39441698 PMCID: PMC11659605 DOI: 10.1093/jnen/nlae113] [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: 10/25/2024] Open
Abstract
This review discusses terminology recently proposed for the classification of dementia and, more specifically, nosology related to aging-associated TDP-43 pathology: limbic-predominant age-related TDP-43 encephalopathy (LATE), and limbic-predominant amnestic neurodegenerative syndrome (LANS). While the "gold standard" for these clinical conditions is still LATE neuropathologic changes (LATE-NC), clinical criteria and biomarkers are evolving. The newly proposed clinical rubrics are discussed with emphasis on the need for terminology that acknowledges the distinctions between clinical syndrome-, molecular biomarker-, and pathologically defined disease concepts. As further progress is made on research into the specific biomarker-based detection and prediction of TDP-43 proteinopathy in the clinical setting, the definitions of "Probable" and "Possible" LATE are likely to become more useful clinically. For people interested in the pathological diagnoses or basic research related to LATE-NC, the relevant terminology remains unchanged by the newly proposed clinical criteria.
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Affiliation(s)
- Peter T Nelson
- Sanders-Brown Center on Aging, Division of Neuropathology, Department of Pathology, University of Kentucky, Lexington, KY 40536, United States
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26
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Simpson AJ, Wyman-Chick KA, Daniel MS. Neuropsychological and clinical indicators of Lewy body and Alzheimer's pathology. J Alzheimers Dis Rep 2025; 9:25424823241304386. [PMID: 40034524 PMCID: PMC11864265 DOI: 10.1177/25424823241304386] [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: 09/12/2024] [Accepted: 11/11/2024] [Indexed: 03/05/2025] Open
Abstract
Background Clinical distinction between Alzheimer's disease (AD) and dementia with Lewy bodies (DLB) poses significant challenges due to pathological comorbidity. Similar ages of onset and overlapping cognitive and psychiatric symptoms can lead to diagnostic inaccuracy and inappropriate treatment recommendations. Objective Identify the best combination of clinical and neuropsychological predictors of AD, DLB, and mixed DLB/AD neuropathology in dementia patients. Methods Using the National Alzheimer's Coordinating Center dataset, we selected either pure AD (n = 189), DLB (n = 21), or mixed DLB/AD (n = 42) patients on autopsy. Neuropsychological and clinical predictors, including core clinical features of DLB, were entered into multivariable logistic regressions. Results Gait disturbances (odds ratio (OR) = 19.32; p = 0.01), visual-spatial complaints (OR = 6.06; p = 0.03), and visual hallucinations (OR = 31.06; p = 0.002) predicted DLB compared to AD, along with better memory (OR = 3.42; p = 0.003), naming (OR = 3.35; p = 0.002), and worse processing speed (OR = 0.51; p = 0.01). When comparing DLB to DLB/AD, gait disturbances (OR = 6.33; p = 0.01), increased depressive symptoms (OR = 1.44; p = 0.03), and better memory (OR = 3.01; p = 0.004) predicted DLB. Finally, rapid eye movement sleep behavior disorder (RBD) (OR = 6.44; p = 0.004), parkinsonism severity (OR = 1.07; p = 0.02), and lower depressive symptoms (OR = 0.70; p = 0.006) and memory impairment (OR = 0.57; p = 0.02) distinguished DLB/AD from AD. Conclusions Our study converges with prior research suggesting specific neuropsychological and clinical features can help distinguish DLB from AD. Neuropsychological differentiation becomes more challenging among mixed pathologies and in advanced cognitive impairment, although the presence of RBD and parkinsonism distinguished DLB. Earlier clinical assessment and incorporation of in vivo and postmortem biomarkers should enhance diagnostic accuracy and understanding of disease characteristics, offering significant relevance for disease-modifying treatments.
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Affiliation(s)
- Austin J Simpson
- Department of Clinical Psychology, Pacific University, Hillsboro, OR, USA
- Renown Health/University of Nevada, School of Medicine, Department of Behavioral Health, Reno, NV, USA
| | - Kathryn A Wyman-Chick
- HealthPartners/Park Nicollet Struthers Parkinson's Center, Department of Neurology, Golden Valley, MN, USA
| | - Michael S Daniel
- Department of Clinical Psychology, Pacific University, Hillsboro, OR, USA
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27
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Yu L, Wang T, Kapasi A, Lamar M, Mottola G, Arfanakis K, Bennett DA, Boyle PA. Differential correlations of changes in in vivo neuroimaging markers of hippocampal volume and arteriolosclerosis with declining financial and health literacy in old age. Brain Imaging Behav 2024; 18:1515-1523. [PMID: 39352643 DOI: 10.1007/s11682-024-00945-z] [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: 09/19/2024] [Indexed: 11/15/2024]
Abstract
Financial and health literacy is essential for older adults to navigate complex decision processes in late life. However, the neurobiological basis of age-related decline in financial and health literacy is poorly understood. This study aimed to characterize progression of neurodegenerative and vascular conditions over time, and to assess how these changes coincide with declining financial and health literacy in old age. Data came from 319 community-living older adults who were free of dementia at baseline, and underwent annual literacy assessments, as well as biennial 3-Tesla neuroimaging scans. Financial and health literacy was assessed using a battery of 32 items. Two in vivo neuroimaging markers of neurodegenerative and cerebrovascular conditions were used, i.e., hippocampal volume and the ARTS marker of arteriolosclerosis. A multivariate linear mixed effects model estimated the simultaneous changes in financial and health literacy, hippocampal volume, and the ARTS score. Over a mean of 7 years of follow-up, these older adults experienced a significant decline in financial and health literacy, a significant reduction in hippocampal volume, and a significant progression in ARTS score. Individuals with faster hippocampal atrophy had faster decline in literacy. Similarly, those with faster progression in ARTS also had faster decline in literacy. The correlation between the rates of hippocampal atrophy and declining literacy, however, was stronger than the correlation between the progression of ARTS with declining literacy. These findings suggest that neurodegeneration and, to a lesser extent, cerebrovascular conditions are correlated with declining financial and health literacy in old age.
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Affiliation(s)
- Lei Yu
- Rush Alzheimer's Disease Center, Rush University Medical Center, 1750 W Harrison Street, Suite 1000, Chicago, IL, 60612, USA.
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA.
| | - Tianhao Wang
- Rush Alzheimer's Disease Center, Rush University Medical Center, 1750 W Harrison Street, Suite 1000, Chicago, IL, 60612, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Alifiya Kapasi
- Rush Alzheimer's Disease Center, Rush University Medical Center, 1750 W Harrison Street, Suite 1000, Chicago, IL, 60612, USA
- Department of Pathology, Rush University Medical Center, Chicago, IL, USA
| | - Melissa Lamar
- Rush Alzheimer's Disease Center, Rush University Medical Center, 1750 W Harrison Street, Suite 1000, Chicago, IL, 60612, USA
- Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Gary Mottola
- FINRA Investor Education Foundation, Washington, DC, USA
| | - Konstantinos Arfanakis
- Rush Alzheimer's Disease Center, Rush University Medical Center, 1750 W Harrison Street, Suite 1000, Chicago, IL, 60612, USA
- Department of Diagnostic Radiology and Nuclear Medicine, Rush University Medical Center, Chicago, IL, USA
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, 1750 W Harrison Street, Suite 1000, Chicago, IL, 60612, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Patricia A Boyle
- Rush Alzheimer's Disease Center, Rush University Medical Center, 1750 W Harrison Street, Suite 1000, Chicago, IL, 60612, USA
- Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, IL, USA
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28
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Maillard P, Fletcher E, Carmichael O, Schwarz C, Seiler S, DeCarli C. Cerebrovascular markers of WMH and infarcts in ADNI: A historical perspective and future directions. Alzheimers Dement 2024; 20:8953-8968. [PMID: 39535353 DOI: 10.1002/alz.14358] [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: 05/10/2024] [Revised: 09/11/2024] [Accepted: 10/02/2024] [Indexed: 11/16/2024]
Abstract
White matter hyperintensities (WMH) and infarcts found on magnetic resonance imaging (MR infarcts) are common biomarkers of cerebrovascular disease. In this review, we summarize the methods, publications, and conclusions stemming from the Alzheimer's Disease Neuroimaging Initiative (ADNI) related to these measures. We combine analysis of WMH and MR infarct data from across the three main ADNI cohorts with a review of existing literature discussing new methodologies and scientific findings derived from these data. Although ADNI inclusion criteria were designed to minimize vascular risk factors and disease, data across all the ADNI cohorts found consistent trends of increasing WMH volumes associated with advancing age, female sex, and cognitive impairment. ADNI, initially proposed as a study to investigate biomarkers of AD pathology, has also helped elucidate the impact of asymptomatic cerebrovascular brain injury on cognition within a cohort relatively free of vascular disease. Future ADNI work will emphasize additional vascular biomarkers. HIGHLIGHTS: White matter hyperintensities (WMHs) are common to advancing age and likely reflect brain vascular injury among older individuals. WMH and to a lesser extent, magnetic resonance (MR) infarcts, affect risk for transition to cognitive impairment. WMHs and MR infarcts are present, even among Alzheimer's Disease Neuroimaging Initiative (ADNI) participants highly selected to have Alzheimer's disease (AD) as the primary pathology. WMH burden in ADNI is greater among individuals with cognitive impairment and has been associated with AD neurodegenerative markers and cerebral amyloidosis. The negative additive effects of cerebrovascular disease appear present, even in select populations, and future biomarker work needs to further explore this relationship.
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Affiliation(s)
- Pauline Maillard
- Department of Neurology, University of California at Davis, Sacramento, California, USA
| | - Evan Fletcher
- Department of Neurology, University of California at Davis, Sacramento, California, USA
| | - Owen Carmichael
- Biomedical Imaging, Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, Louisiana, USA
| | | | - Stephan Seiler
- Department of Neurology, University of California at Davis, Sacramento, California, USA
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Charles DeCarli
- Department of Neurology, University of California at Davis, Sacramento, California, USA
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29
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Hayden MR. Brain endothelial cell activation and dysfunction associate with and contribute to the development of enlarged perivascular spaces and cerebral small vessel disease. Histol Histopathol 2024; 39:1565-1586. [PMID: 39051093 DOI: 10.14670/hh-18-792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/27/2024]
Abstract
Multiple injurious stimuli to the brain's endothelium results in brain endothelial cell activation and dysfunction (BECact/dys) with upregulation of inflammatory signaling cascades and a decrease in bioavailable nitric oxide respectively. These injurious stimuli initiate a brain injury and a response to injury wound healing genetically programed cascade of events, which result in cellular remodeling of the neurovascular unit and blood-brain barrier with increased inflammation and permeability. These remodeling changes also include the perivascular spaces that become dilated to form enlarged perivascular spaces (EPVS) that may be identified noninvasively by magnetic resonance imaging. These EPVS are associated with and considered to be a biomarker for cerebral small vessel disease (SVD) and a dysfunctional glymphatic system with impaired removal of neurotoxic waste, which ultimately results in neurodegeneration with impaired cognition and dementia. The penultimate section discusses the understudied role of venous cerebral circulation in relation to EPVS, SVD, and the vascular contribution to cognitive impairment (VCID). The focus of this review will be primarily on BECact/dys that associates with and contributes to the development of EPVS, SVD, and impaired glymphatic system efflux. Importantly, BECact/dys may be a key piece of the puzzle to unlock this complicated story of EPVS and SVD. Multiple transmission electron micrographs and illustrations will be utilized to depict anatomical ultrastructure and allow for the discussion of multiple functional molecular cascades.
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Affiliation(s)
- Melvin Ray Hayden
- University of Missouri, School of Medicine, Columbia, Missouri, USA.
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30
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Godrich D, Pasteris J, Martin ER, Rundek T, Schellenberg G, Foroud T, Vance JM, Pericak-Vance MA, Cuccaro ML, Scott WK, Kukull W, Montine TJ, Beecham GW. Cerebral amyloid angiopathy impacts neurofibrillary tangle burden and cognition. Brain Commun 2024; 6:fcae369. [PMID: 39584156 PMCID: PMC11581998 DOI: 10.1093/braincomms/fcae369] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 07/01/2024] [Accepted: 11/20/2024] [Indexed: 11/26/2024] Open
Abstract
Cerebral amyloid angiopathy commonly co-occurs with amyloid β plaques and neurofibrillary degeneration and is proposed to contribute to cognitive impairment. However, the interplay among these pathologic changes of Alzheimer disease is not well understood. Here we replicate and extend findings of a recent study that suggested the association of cerebral amyloid angiopathy and cognitive impairment is mediated by neurofibrillary degeneration. We employed similar approaches but in a larger, clinical-based (as opposed to community-based) set of 4915 autopsied National Alzheimer's Coordinating Center participants (60% with dementia). Neuropathologic lesions were measured ordinally; longitudinal change in cognition was used to measure cognitive impairment. Statistical analyses included ordinal logistic regression, mediation analyses and extension of models to include presence of APOE e4. We show a statistical interaction between cerebral amyloid angiopathy and neuritic plaques that impacts the burden of neurofibrillary tangles. Mediation analyses show that cerebral amyloid angiopathy is associated with cognitive impairment, but only by modifying the impact of neurofibrillary tangles on cognition. We expanded the mediation analysis to include APOE e4 and show similar results. Findings indicate that cerebral amyloid angiopathy plays an important role in the burden and impact of neurofibrillary degeneration contributing to cognitive impairment.
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Affiliation(s)
- Dana Godrich
- Dr. John T Macdonald Foundation Department of Human Genetics, Miller School of Medicine, University of Miami, Miami, FL 33136, USA
| | - Jeremy Pasteris
- Dr. John T Macdonald Foundation Department of Human Genetics, Miller School of Medicine, University of Miami, Miami, FL 33136, USA
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL 33136, USA
| | - Eden R Martin
- Dr. John T Macdonald Foundation Department of Human Genetics, Miller School of Medicine, University of Miami, Miami, FL 33136, USA
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL 33136, USA
| | - Tatjana Rundek
- Department of Neurology and Evelyn F. McKnight Brain Institute, Miller School of Medicine, University of Miami, Miami, FL 33136, USA
| | - Gerard Schellenberg
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 190104, USA
| | - Tatiana Foroud
- Department of Medical and Molecular Genetics, Indiana University, Indianapolis, IN 46202, USA
| | - Jeffery M Vance
- Dr. John T Macdonald Foundation Department of Human Genetics, Miller School of Medicine, University of Miami, Miami, FL 33136, USA
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL 33136, USA
| | - Margaret A Pericak-Vance
- Dr. John T Macdonald Foundation Department of Human Genetics, Miller School of Medicine, University of Miami, Miami, FL 33136, USA
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL 33136, USA
| | - Michael L Cuccaro
- Dr. John T Macdonald Foundation Department of Human Genetics, Miller School of Medicine, University of Miami, Miami, FL 33136, USA
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL 33136, USA
| | - William K Scott
- Dr. John T Macdonald Foundation Department of Human Genetics, Miller School of Medicine, University of Miami, Miami, FL 33136, USA
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL 33136, USA
| | - Walter Kukull
- Department of Epidemiology, University of Washington, Seattle, WA 351619, USA
| | - Thomas J Montine
- Department of Pathology, Stanford University, Stanford, CA 94305, USA
| | - Gary W Beecham
- Dr. John T Macdonald Foundation Department of Human Genetics, Miller School of Medicine, University of Miami, Miami, FL 33136, USA
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL 33136, USA
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31
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Katsumata Y, Wu X, Aung KZ, Fardo DW, Woodworth DC, Sajjadi SA, Tomé SO, Thal DR, Troncoso JC, Chang K, Mock C, Nelson PT. Pure LATE-NC: Frequency, clinical impact, and the importance of considering APOE genotype when assessing this and other subtypes of non-Alzheimer's pathologies. Acta Neuropathol 2024; 148:66. [PMID: 39546031 PMCID: PMC11568059 DOI: 10.1007/s00401-024-02821-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: 08/27/2024] [Revised: 10/25/2024] [Accepted: 10/30/2024] [Indexed: 11/17/2024]
Abstract
Pure limbic-predominant age-related TDP-43 encephalopathy neuropathologic changes (pure LATE-NC) is a term used to describe brains with LATE-NC but lacking intermediate or severe levels of Alzheimer's disease neuropathologic changes (ADNC). Focusing on pure LATE-NC, we analyzed data from the National Alzheimer's Coordinating Center (NACC) Neuropathology Data Set, comprising clinical and pathological information aggregated from 32 NIH-funded Alzheimer's Disease Research Centers (ADRCs). After excluding subjects dying with unusual conditions, n = 1,926 autopsied subjects were included in the analyses. For > 90% of these participants, apolipoprotein E (APOE) allele status was known; 46.5% had at least one APOE 4 allele. In most human populations, only 15-25% of people are APOE ε4 carriers. ADRCs with higher documented AD risk allele (APOE or BIN1) rates had fewer participants lacking ADNC, and correspondingly low rates of pure LATE-NC. Among APOE ε4 non-carries, 5.3% had pure LATE-NC, 37.0% had pure ADNC, and 3.6% had pure neocortical Lewy body pathology. In terms of clinical impact, participants with pure LATE-NC tended to die after having received a diagnosis of dementia: 56% died with dementia among APOE ε4 non-carrier participants, comparable to 61% with pure ADNC. LATE-NC was associated with increased Clinical Dementia Rating Sum of Boxes (CDR-SOB) scores, i.e. worsened global cognitive impairments, in participants with no/low ADNC and no neocortical Lewy body pathology (p = 0.0023). Among pure LATE-NC cases, there was a trend for higher LATE-NC stages to be associated with worse CDR-SOB scores (p = 0.026 for linear trend of LATE-NC stages). Pure LATE-NC was not associated with clinical features of disinhibition or primary progressive aphasia. In summary, LATE-NC with no or low levels of ADNC was less frequent than pure ADNC but was not rare, particularly among individuals who lacked the APOE 4 allele, and in study cohorts with APOE 4 frequencies similar to those in most human populations.
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Affiliation(s)
- Yuriko Katsumata
- Department of Biostatistics, University of Kentucky, Lexington, KY, 40536-0679, USA
- Sanders-Brown Center On Aging, University of Kentucky, U. Kentucky, Rm 575 Lee Todd Bldg 789 S. Limestone Ave, Lexington, KY, 40536, USA
| | - Xian Wu
- Department of Biostatistics, University of Kentucky, Lexington, KY, 40536-0679, USA
- Sanders-Brown Center On Aging, University of Kentucky, U. Kentucky, Rm 575 Lee Todd Bldg 789 S. Limestone Ave, Lexington, KY, 40536, USA
| | - Khine Zin Aung
- Department of Biostatistics, University of Kentucky, Lexington, KY, 40536-0679, USA
- Sanders-Brown Center On Aging, University of Kentucky, U. Kentucky, Rm 575 Lee Todd Bldg 789 S. Limestone Ave, Lexington, KY, 40536, USA
| | - David W Fardo
- Department of Biostatistics, University of Kentucky, Lexington, KY, 40536-0679, USA
- Sanders-Brown Center On Aging, University of Kentucky, U. Kentucky, Rm 575 Lee Todd Bldg 789 S. Limestone Ave, Lexington, KY, 40536, USA
| | - Davis C Woodworth
- Department of Neurology, University of California, Irvine, CA, 92,697, USA
| | - S Ahmad Sajjadi
- Department of Neurology, University of California, Irvine, CA, 92,697, USA
- Department of Pathology, University of California, Irvine, CA, 92,697, USA
| | - Sandra O Tomé
- Laboratory for Neuropathology, Department of Imaging and Pathology and Leuven Brain Institute, KU Leuven, Leuven, Belgium
| | - Dietmar Rudolf Thal
- Laboratory for Neuropathology, Department of Imaging and Pathology and Leuven Brain Institute, KU Leuven, Leuven, Belgium
- Department of Pathology, University Hospitals Leuven, Leuven, Belgium
| | - Juan C Troncoso
- Departments of Pathology and Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Koping Chang
- Departments of Pathology and Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Charles Mock
- National Alzheimer's Coordinating Center (NACC), University of Washington, Seattle, WA, USA
| | - Peter T Nelson
- Sanders-Brown Center On Aging, University of Kentucky, U. Kentucky, Rm 575 Lee Todd Bldg 789 S. Limestone Ave, Lexington, KY, 40536, USA.
- Department of Pathology, Division of Neuropathology, University of Kentucky, Rm 575 Lee Todd Bldg, U. Kentucky, 789 S. Limestone Ave., Lexington, KY, 40536-0230, USA.
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32
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Imokawa T, Yokoyama K, Takahashi K, Oyama J, Tsuchiya J, Sanjo N, Tateishi U. Brain perfusion SPECT in dementia: what radiologists should know. Jpn J Radiol 2024; 42:1215-1230. [PMID: 38888851 PMCID: PMC11522095 DOI: 10.1007/s11604-024-01612-5] [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: 03/25/2024] [Accepted: 06/03/2024] [Indexed: 06/20/2024]
Abstract
The findings of brain perfusion single-photon emission computed tomography (SPECT), which detects abnormalities often before changes manifest in morphological imaging, mainly reflect neurodegeneration and contribute to dementia evaluation. A major shift is about to occur in dementia practice to the approach of diagnosing based on biomarkers and treating with disease-modifying drugs. Accordingly, brain perfusion SPECT will be required to serve as a biomarker of neurodegeneration. Hypoperfusion in Alzheimer's disease (AD) is typically seen in the posterior cingulate cortex and precuneus early in the disease, followed by the temporoparietal cortices. On the other hand, atypical presentations of AD such as the posterior variant, logopenic variant, frontal variant, and corticobasal syndrome exhibit hypoperfusion in areas related to symptoms. Additionally, hypoperfusion especially in the precuneus and parietal association cortex can serve as a predictor of progression from mild cognitive impairment to AD. In dementia with Lewy bodies (DLB), the differentiating feature is the presence of hypoperfusion in the occipital lobes in addition to that observed in AD. Hypoperfusion of the occipital lobe is not a remarkable finding, as it is assumed to reflect functional loss due to impairment of the cholinergic and dopaminergic systems rather than degeneration per se. Moreover, the cingulate island sign reflects the degree of AD pathology comorbid in DLB. Frontotemporal dementia is characterized by regional hypoperfusion according to the three clinical types, and the background pathology is diverse. Idiopathic normal pressure hydrocephalus shows apparent hypoperfusion around the Sylvian fissure and corpus callosum and apparent hyperperfusion in high-convexity areas. The cortex or striatum with diffusion restriction on magnetic resonance imaging in prion diseases reflects spongiform degeneration and brain perfusion SPECT reveals hypoperfusion in the same areas. Brain perfusion SPECT findings in dementia should be carefully interpreted considering background pathology.
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Affiliation(s)
- Tomoki Imokawa
- Department of Diagnostic Radiology, Tokyo Medical and Dental University, Bunkyo-Ku, Tokyo, Japan
- Department of Radiology, Japanese Red Cross Omori Hospital, Ota-Ku, Tokyo, Japan
| | - Kota Yokoyama
- Department of Diagnostic Radiology, Tokyo Medical and Dental University, Bunkyo-Ku, Tokyo, Japan.
| | - Kanae Takahashi
- Department of Diagnostic Radiology, Tokyo Medical and Dental University, Bunkyo-Ku, Tokyo, Japan
| | - Jun Oyama
- Department of Diagnostic Radiology, Tokyo Medical and Dental University, Bunkyo-Ku, Tokyo, Japan
| | - Junichi Tsuchiya
- Department of Diagnostic Radiology, Tokyo Medical and Dental University, Bunkyo-Ku, Tokyo, Japan
| | - Nobuo Sanjo
- Department of Neurology and Neurological Science, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Bunkyo-Ku, Tokyo, Japan
| | - Ukihide Tateishi
- Department of Diagnostic Radiology, Tokyo Medical and Dental University, Bunkyo-Ku, Tokyo, Japan
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33
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Gelpi E, Reinecke R, Gaig C, Iranzo A, Sabater L, Molina-Porcel L, Aldecoa I, Endmayr V, Högl B, Schmutzhard E, Poewe W, Pfausler B, Popovic M, Pretnar-Oblak J, Leypoldt F, Matschke J, Glatzel M, Erro EM, Jerico I, Caballero MC, Zelaya MV, Mariotto S, Heidbreder A, Kalev O, Weis S, Macher S, Berger-Sieczkowski E, Ferrari J, Reisinger C, Klupp N, Tienari P, Rautila O, Niemelä M, Yilmazer-Hanke D, Guasp M, Bloem B, Van Gaalen J, Kusters B, Titulaer M, Fransen NL, Santamaria J, Dawson T, Holton JL, Ling H, Revesz T, Myllykangas L, Budka H, Kovacs GG, Lewerenz J, Dalmau J, Graus F, Koneczny I, Höftberger R. Neuropathological spectrum of anti-IgLON5 disease and stages of brainstem tau pathology: updated neuropathological research criteria of the disease-related tauopathy. Acta Neuropathol 2024; 148:53. [PMID: 39400557 PMCID: PMC11473580 DOI: 10.1007/s00401-024-02805-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: 04/16/2024] [Revised: 08/23/2024] [Accepted: 09/12/2024] [Indexed: 10/15/2024]
Abstract
Anti-IgLON5 disease is a unique condition that bridges autoimmunity and neurodegeneration. Since its initial description 10 years ago, an increasing number of autopsies has led to the observation of a broader spectrum of neuropathologies underlying a particular constellation of clinical symptoms. In this study, we describe the neuropathological findings in 22 patients with anti-IgLON5 disease from 9 different European centers. In 15 patients (68%), we observed a hypothalamic and brainstem-predominant tauopathy of varying severity in which the original research neuropathological criteria were readily applicable. This pathology was observed in younger patients (median age at onset 61 years) with a long disease duration (median 9 years). In contrast, in 7 (32%) patients, the originally described brainstem tauopathy was nearly absent or only minimal in the form of delicate threads, despite mild-to-moderate neurodegenerative features, consistent clinical symptoms and the presence of anti-IgLON5 antibodies in CSF and serum. These patients were older at onset (median 79 years) and had shorter disease duration (median < 1 year). Overall, about one-third of the patients showed concomitant TDP-43 pathology within the regions affected by tau pathology and/or neurodegeneration. Based on these observations and in view of the spectrum of the tau burden in the core regions involved in the disease, we propose a simple staging system: stage 1 mild neurodegeneration without overt or only minimal tau pathology, stage 2 moderate neurodegeneration and mild/ moderate tauopathy and stage 3 prominent neurodegeneration and tau pathology. This staging intends to reflect a potential (age- and time-dependent) progression of tau pathology, supporting the current notion that tau accumulation is a secondary phenomenon related to the presence of anti-IgLON5 antibodies in the CNS. Finally, we adapt the original research criteria of the anti-IgLON5 disease-related tauopathy to include the spectrum of pathologies observed in this larger postmortem series.
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Affiliation(s)
- Ellen Gelpi
- Division of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences & Mental Health Vienna, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Raphael Reinecke
- Division of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences & Mental Health Vienna, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Carles Gaig
- Sleep Unit, Neurology Department, Hospital Clinic de Barcelona, IDIBAPS/FCRB, Barcelona, Spain
| | - Alex Iranzo
- Sleep Unit, Neurology Department, Hospital Clinic de Barcelona, IDIBAPS/FCRB, Barcelona, Spain
| | - Lidia Sabater
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (FCRB-IDIBAPS), Neuroimmunology Program, Barcelona, Spain
| | - Laura Molina-Porcel
- Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS/FCRB), Neurological Tissue Bank of the Biobanc, Hospital Clinic, Barcelona, Spain
- Memory Unit, Neurology Department, Hospital Clinic de Barcelona, IDIBAPS/FCRB, Barcelona, Spain
| | - Iban Aldecoa
- Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS/FCRB), Neurological Tissue Bank of the Biobanc, Hospital Clinic, Barcelona, Spain
- Pathology Department, Biomedical Diagnostic Center, Hospital Clinic de Barcelona-University of Barcelona, IDIBAPS/FCRB, Barcelona, Spain
| | - Verena Endmayr
- Division of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences & Mental Health Vienna, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Birgit Högl
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Erich Schmutzhard
- Neuro-Critical Care Unit, Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Werner Poewe
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Bettina Pfausler
- Neuro-Critical Care Unit, Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Mara Popovic
- Institute of Pathology, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Janja Pretnar-Oblak
- Department for Vascular Neurology and Intensive Neurological Therapy, University Medical Centre Ljubljana, Ljubljana, Slovenia
| | - Frank Leypoldt
- Neuroimmunology, Institute of Clinical Chemistry and Laboratory Medicine, Department of Neurology, Kiel University, Kiel, Germany
| | - Jakob Matschke
- Institute of Neuropathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Markus Glatzel
- Institute of Neuropathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Elena Maria Erro
- Neurology Department, University Hospital Pamplona, Navarra, Spain
- Navarra Biomed Research Institute, Pamplona, Spain
| | - Ivonne Jerico
- Neurology Department, University Hospital Pamplona, Navarra, Spain
- Navarra Biomed Research Institute, Pamplona, Spain
| | - Maria Cristina Caballero
- Navarra Biomed Research Institute, Pamplona, Spain
- Pathology Department, University Hospital Pamplona, Navarra, Spain
| | - Maria Victoria Zelaya
- Navarra Biomed Research Institute, Pamplona, Spain
- Pathology Department, University Hospital Pamplona, Navarra, Spain
| | - Sara Mariotto
- Neurology Unit, Department of Neurosciences, Biomedicine, and Movement Sciences, University of Verona, Verona, Italy
| | - Anna Heidbreder
- Department of Neurology, Kepler University Hospital Linz, and Clinical Research Institute for Neurosciences, Johannes Kepler University, Linz, Austria
| | - Ognian Kalev
- Division of Neuropathology, Department of Pathology and Molecular Pathology, Kepler University Hospital Linz, Austria and Clinical Research Institute for Neurosciences, Johannes Kepler University, Linz, Austria
| | - Serge Weis
- Division of Neuropathology, Department of Pathology and Molecular Pathology, Kepler University Hospital Linz, Austria and Clinical Research Institute for Neurosciences, Johannes Kepler University, Linz, Austria
| | - Stefan Macher
- Comprehensive Center for Clinical Neurosciences & Mental Health Vienna, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Evelyn Berger-Sieczkowski
- Comprehensive Center for Clinical Neurosciences & Mental Health Vienna, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Julia Ferrari
- Department of Neurology, St. John's of God Hospital, Vienna, Austria
| | | | - Nikolaus Klupp
- Center of Forensic Medicine, Medical University of Vienna, Vienna, Austria
| | - Pentti Tienari
- Translational Immunology, Research Programs Unit, Department of Neurology, University of Helsinki, Helsinki University Hospital, Helsinki, Finland
| | - Osma Rautila
- Translational Immunology, Research Programs Unit, Department of Neurology, University of Helsinki, Helsinki University Hospital, Helsinki, Finland
| | - Marja Niemelä
- Department of Neurology, Helsinki University Hospital, Helsinki, Finland
| | - Deniz Yilmazer-Hanke
- Clinical Neuroanatomy, Department of Neurology, University Hospital, Ulm University, Ulm, Germany
| | - Mar Guasp
- Sleep Unit, Neurology Department, Hospital Clinic de Barcelona, IDIBAPS/FCRB, Barcelona, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (FCRB-IDIBAPS), Neuroimmunology Program, Barcelona, Spain
| | - Bas Bloem
- Department of Neurology, Donders Institute for Brain, Cognition, and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Judith Van Gaalen
- Department of Neurology, Rijnstate Hospital, Arnhem, The Netherlands
| | - Benno Kusters
- Department of Pathology, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Maarten Titulaer
- Department of Neurology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Nina L Fransen
- Department of Pathology, Amsterdam UMC, Amsterdam, The Netherlands
- Department of Pathology, UMC Utrecht, Utrecht, The Netherlands
| | - Joan Santamaria
- Sleep Unit, Neurology Department, Hospital Clinic de Barcelona, IDIBAPS/FCRB, Barcelona, Spain
| | - Thimoty Dawson
- Neuropathology, Lancashire Teaching Hospitals NHS Foundation Trust, Preston, UK
| | - Janice L Holton
- Queen Square Brain Bank for Neurological Disorders, Department of Neurodegenerative Disease, UCL Institute of Neurology, University College London, London, UK
| | - Helen Ling
- Queen Square Brain Bank for Neurological Disorders, Department of Neurodegenerative Disease, UCL Institute of Neurology, University College London, London, UK
| | - Tamas Revesz
- Queen Square Brain Bank for Neurological Disorders, Department of Neurodegenerative Disease, UCL Institute of Neurology, University College London, London, UK
| | - Liisa Myllykangas
- Department of Pathology, University of Helsinki, HUS Diagnostic Center, Helsinki University Hospital, Helsinki, Finland
| | - Herbert Budka
- Division of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences & Mental Health Vienna, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Gabor G Kovacs
- Department of Laboratory Medicine and Pathobiology and Tanz Centre for Research in Neurodegenerative Disease, University of Toronto, Toronto, ON, Canada
- Laboratory Medicine Program and Krembil Brain Institute, University Health Network, Toronto, ON, Canada
| | - Jan Lewerenz
- Department of Neurology, Ulm University Hospital, Ulm, Germany
| | - Josep Dalmau
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
- Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
| | - Francesc Graus
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (FCRB-IDIBAPS), Neuroimmunology Program, Barcelona, Spain
| | - Inga Koneczny
- Division of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
- Comprehensive Center for Clinical Neurosciences & Mental Health Vienna, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
| | - Romana Höftberger
- Division of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
- Comprehensive Center for Clinical Neurosciences & Mental Health Vienna, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
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Xue C, Kowshik SS, Lteif D, Puducheri S, Jasodanand VH, Zhou OT, Walia AS, Guney OB, Zhang JD, Poésy S, Kaliaev A, Andreu-Arasa VC, Dwyer BC, Farris CW, Hao H, Kedar S, Mian AZ, Murman DL, O'Shea SA, Paul AB, Rohatgi S, Saint-Hilaire MH, Sartor EA, Setty BN, Small JE, Swaminathan A, Taraschenko O, Yuan J, Zhou Y, Zhu S, Karjadi C, Alvin Ang TF, Bargal SA, Plummer BA, Poston KL, Ahangaran M, Au R, Kolachalama VB. AI-based differential diagnosis of dementia etiologies on multimodal data. Nat Med 2024; 30:2977-2989. [PMID: 38965435 PMCID: PMC11485262 DOI: 10.1038/s41591-024-03118-z] [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: 12/29/2023] [Accepted: 06/06/2024] [Indexed: 07/06/2024]
Abstract
Differential diagnosis of dementia remains a challenge in neurology due to symptom overlap across etiologies, yet it is crucial for formulating early, personalized management strategies. Here, we present an artificial intelligence (AI) model that harnesses a broad array of data, including demographics, individual and family medical history, medication use, neuropsychological assessments, functional evaluations and multimodal neuroimaging, to identify the etiologies contributing to dementia in individuals. The study, drawing on 51,269 participants across 9 independent, geographically diverse datasets, facilitated the identification of 10 distinct dementia etiologies. It aligns diagnoses with similar management strategies, ensuring robust predictions even with incomplete data. Our model achieved a microaveraged area under the receiver operating characteristic curve (AUROC) of 0.94 in classifying individuals with normal cognition, mild cognitive impairment and dementia. Also, the microaveraged AUROC was 0.96 in differentiating the dementia etiologies. Our model demonstrated proficiency in addressing mixed dementia cases, with a mean AUROC of 0.78 for two co-occurring pathologies. In a randomly selected subset of 100 cases, the AUROC of neurologist assessments augmented by our AI model exceeded neurologist-only evaluations by 26.25%. Furthermore, our model predictions aligned with biomarker evidence and its associations with different proteinopathies were substantiated through postmortem findings. Our framework has the potential to be integrated as a screening tool for dementia in clinical settings and drug trials. Further prospective studies are needed to confirm its ability to improve patient care.
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Affiliation(s)
- Chonghua Xue
- Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Electrical & Computer Engineering, Boston University, Boston, MA, USA
| | - Sahana S Kowshik
- Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Faculty of Computing & Data Sciences, Boston University, Boston, MA, USA
| | - Diala Lteif
- Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Computer Science, Boston University, Boston, MA, USA
| | - Shreyas Puducheri
- Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Varuna H Jasodanand
- Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Olivia T Zhou
- Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Anika S Walia
- Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Osman B Guney
- Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Electrical & Computer Engineering, Boston University, Boston, MA, USA
| | - J Diana Zhang
- Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- School of Chemistry, University of New South Wales, Sydney, Australia
| | - Serena Poésy
- Department of Radiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Artem Kaliaev
- Department of Radiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - V Carlota Andreu-Arasa
- Department of Radiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Brigid C Dwyer
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Chad W Farris
- Department of Radiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Honglin Hao
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Sachin Kedar
- Departments of Neurology & Ophthalmology, Emory University School of Medicine, Atlanta, GA, USA
| | - Asim Z Mian
- Department of Radiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Daniel L Murman
- Department of Neurological Sciences, University of Nebraska Medical Center, Omaha, NE, USA
| | - Sarah A O'Shea
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
| | - Aaron B Paul
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Saurabh Rohatgi
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | | | - Emmett A Sartor
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Bindu N Setty
- Department of Radiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Juan E Small
- Department of Radiology, Lahey Hospital & Medical Center, Burlington, MA, USA
| | | | - Olga Taraschenko
- Department of Neurological Sciences, University of Nebraska Medical Center, Omaha, NE, USA
| | - Jing Yuan
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Yan Zhou
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Shuhan Zhu
- Department of Neurology, Brigham & Women's Hospital, Boston, MA, USA
| | - Cody Karjadi
- The Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Ting Fang Alvin Ang
- The Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Anatomy and Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Sarah A Bargal
- Department of Computer Science, Georgetown University, Washington, DC, USA
| | - Bryan A Plummer
- Department of Computer Science, Boston University, Boston, MA, USA
| | | | - Meysam Ahangaran
- Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Rhoda Au
- Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- The Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Anatomy and Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Boston University Alzheimer's Disease Research Center, Boston, MA, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Vijaya B Kolachalama
- Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.
- Faculty of Computing & Data Sciences, Boston University, Boston, MA, USA.
- Department of Computer Science, Boston University, Boston, MA, USA.
- Boston University Alzheimer's Disease Research Center, Boston, MA, USA.
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35
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de Havenon A, Gottesman RF, Willamson JD, Rost N, Sharma R, Li V, Littig L, Stulberg E, Falcone GJ, Prabhakaran S, Schneider ALC, Sheth KN, Pajewski NM, Brickman AM. White matter hyperintensity on MRI and plasma Aβ42/40 ratio additively increase the risk of cognitive impairment in hypertensive adults. Alzheimers Dement 2024; 20:6810-6819. [PMID: 39229896 PMCID: PMC11485393 DOI: 10.1002/alz.14126] [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: 04/11/2024] [Revised: 06/04/2024] [Accepted: 06/18/2024] [Indexed: 09/05/2024]
Abstract
INTRODUCTION Dementia often involves comorbid Alzheimer's and vascular pathology, but their combined impact warrants additional study. METHODS We analyzed the Systolic Blood Pressure Intervention Trial and categorized white matter hyperintensity (WMH) volume into highest versus lowest/mid tertile and the amyloid beta (Aβ)42/40 ratio into lowest versus mid/highest ratio tertile. Using these binary variables, we created four exposure categories: (1) combined low risk, (2) Aβ risk, (3) WMH risk, and (4) combined high risk. RESULTS In the cohort of 467 participants (mean age 69.7 ± 7.1, 41.8% female, 31.9% nonwhite or Hispanic) during 4.8 years of follow-up and across the four exposure categories the rates of cognitive impairment were 5.3%, 7.8%, 11.8%, and 22.6%. Compared to the combined low-risk category, the adjusted hazard ratio for cognitive impairment was 4.12 (95% confidence interval, 1.71 to 9.94) in the combined high-risk category. DISCUSSION This study emphasizes the potential impact of therapeutic approaches to dementia prevention that target both vascular and amyloid pathology. HIGHLIGHTS White matter hyperintensity (WMH) and plasma amyloid (Aβ42/40) are additive risk factors for the development of cognitive impairment in the SPRINT MIND trial. Individuals in the high-risk categories of both WMH and Aβ42/40 had a near fivefold increase in risk of cognitive impairment during 4.8 years of follow-up on average. These findings suggest that treatment strategies targeting both vascular health and amyloid burden warrant further research.
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Affiliation(s)
- Adam de Havenon
- Department of NeurologyCenter for Brain and Mind HealthYale University School of MedicineNew HavenConnecticutUSA
| | | | - Jeff D. Willamson
- Department of Internal MedicineWake Forrest University School of MedicineWinston‐SalemNorth CarolinaUSA
| | - Natalia Rost
- Department of NeurologyMassachusetts General HospitalBostonMassachusettsUSA
| | - Richa Sharma
- Department of NeurologyCenter for Brain and Mind HealthYale University School of MedicineNew HavenConnecticutUSA
| | - Vivian Li
- Department of NeurologyCenter for Brain and Mind HealthYale University School of MedicineNew HavenConnecticutUSA
| | - Lauren Littig
- Department of NeurologyCenter for Brain and Mind HealthYale University School of MedicineNew HavenConnecticutUSA
| | - Eric Stulberg
- Department of NeurologyUniversity of UtahSalt Lake CityUtahUSA
| | - Guido J. Falcone
- Department of NeurologyCenter for Brain and Mind HealthYale University School of MedicineNew HavenConnecticutUSA
| | | | - Andrea L. C. Schneider
- Department of NeurologyDepartment of BiostatisticsEpidemiology, and InformaticsUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPennsylvaniaUSA
| | - Kevin N. Sheth
- Department of NeurologyCenter for Brain and Mind HealthYale University School of MedicineNew HavenConnecticutUSA
| | - Nicholas M. Pajewski
- Department of Biostatistics and Data ScienceWake Forrest University School of MedicineWinston‐SalemNorth CarolinaUSA
| | - Adam M. Brickman
- Taub Institute for Research on Alzheimer's Disease and the Aging Brainand the Department of NeurologyColumbia UniversityNew YorkNew YorkUSA
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Armstrong P, Güngör H, Anongjanya P, Tweedy C, Parkin E, Johnston J, Carr IM, Dawson N, Clapcote SJ. Protective effect of PDE4B subtype-specific inhibition in an App knock-in mouse model for Alzheimer's disease. Neuropsychopharmacology 2024; 49:1559-1568. [PMID: 38521860 PMCID: PMC11319650 DOI: 10.1038/s41386-024-01852-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2023] [Revised: 02/24/2024] [Accepted: 03/12/2024] [Indexed: 03/25/2024]
Abstract
Meta-analysis of genome-wide association study data has implicated PDE4B in the pathogenesis of Alzheimer's disease (AD), the leading cause of senile dementia. PDE4B encodes one of four subtypes of cyclic adenosine monophosphate (cAMP)-specific phosphodiesterase-4 (PDE4A-D). To interrogate the involvement of PDE4B in the manifestation of AD-related phenotypes, the effects of a hypomorphic mutation (Pde4bY358C) that decreases PDE4B's cAMP hydrolytic activity were evaluated in the AppNL-G-F knock-in mouse model of AD using the Barnes maze test of spatial memory, 14C-2-deoxyglucose autoradiography, thioflavin-S staining of β-amyloid (Aβ) plaques, and inflammatory marker assay and transcriptomic analysis (RNA sequencing) of cerebral cortical tissue. At 12 months of age, AppNL-G-F mice exhibited spatial memory and brain metabolism deficits, which were prevented by the hypomorphic PDE4B in AppNL-G-F/Pde4bY358C mice, without a decrease in Aβ plaque burden. RNA sequencing revealed that, among the 531 transcripts differentially expressed in AppNL-G-F versus wild-type mice, only 13 transcripts from four genes - Ide, Btaf1, Padi2, and C1qb - were differentially expressed in AppNL-G-F/Pde4bY358C versus AppNL-G-F mice, identifying their potential involvement in the protective effect of hypomorphic PDE4B. Our data demonstrate that spatial memory and cerebral glucose metabolism deficits exhibited by 12-month-old AppNL-G-F mice are prevented by targeted inhibition of PDE4B. To our knowledge, this is the first demonstration of a protective effect of PDE4B subtype-specific inhibition in a preclinical model of AD. It thus identifies PDE4B as a key regulator of disease manifestation in the AppNL-G-F model and a promising therapeutic target for AD.
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Affiliation(s)
- Paul Armstrong
- School of Biomedical Sciences, University of Leeds, LS2 9JT, Leeds, UK
| | - Hüseyin Güngör
- Division of Biomedical and Life Sciences, Faculty of Health and Medicine, Lancaster University, LA1 4YG, Lancaster, UK
- Department of Veterinary Pharmacology and Toxicology, Faculty of Veterinary Medicine, Cumhuriyet University, Sivas, 58140, Turkey
| | - Pariya Anongjanya
- School of Biomedical Sciences, University of Leeds, LS2 9JT, Leeds, UK
| | - Clare Tweedy
- School of Biomedical Sciences, University of Leeds, LS2 9JT, Leeds, UK
| | - Edward Parkin
- Division of Biomedical and Life Sciences, Faculty of Health and Medicine, Lancaster University, LA1 4YG, Lancaster, UK
| | - Jamie Johnston
- School of Biomedical Sciences, University of Leeds, LS2 9JT, Leeds, UK
| | - Ian M Carr
- Leeds Institute of Medical Research, University of Leeds, LS9 7TF, Leeds, UK
| | - Neil Dawson
- Division of Biomedical and Life Sciences, Faculty of Health and Medicine, Lancaster University, LA1 4YG, Lancaster, UK
| | - Steven J Clapcote
- School of Biomedical Sciences, University of Leeds, LS2 9JT, Leeds, UK.
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37
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Calderón-Garcidueñas L, Cejudo-Ruiz FR, Stommel EW, González-Maciel A, Reynoso-Robles R, Torres-Jardón R, Tehuacanero-Cuapa S, Rodríguez-Gómez A, Bautista F, Goguitchaichvili A, Pérez-Guille BE, Soriano-Rosales RE, Koseoglu E, Mukherjee PS. Single-domain magnetic particles with motion behavior under electromagnetic AC and DC fields are a fatal cargo in Metropolitan Mexico City pediatric and young adult early Alzheimer, Parkinson, frontotemporal lobar degeneration and amyotrophic lateral sclerosis and in ALS patients. Front Hum Neurosci 2024; 18:1411849. [PMID: 39246712 PMCID: PMC11377271 DOI: 10.3389/fnhum.2024.1411849] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2024] [Accepted: 08/12/2024] [Indexed: 09/10/2024] Open
Abstract
Metropolitan Mexico City (MMC) children and young adults exhibit overlapping Alzheimer and Parkinsons' diseases (AD, PD) and TAR DNA-binding protein 43 pathology with magnetic ultrafine particulate matter (UFPM) and industrial nanoparticles (NPs). We studied magnetophoresis, electron microscopy and energy-dispersive X-ray spectrometry in 203 brain samples from 14 children, 27 adults, and 27 ALS cases/controls. Saturation isothermal remanent magnetization (SIRM), capturing magnetically unstable FeNPs ~ 20nm, was higher in caudate, thalamus, hippocampus, putamen, and motor regions with subcortical vs. cortical higher SIRM in MMC ≤ 40y. Motion behavior was associated with magnetic exposures 25-100 mT and children exhibited IRM saturated curves at 50-300 mT associated to change in NPs position and/or orientation in situ. Targeted magnetic profiles moving under AC/AD magnetic fields could distinguish ALS vs. controls. Motor neuron magnetic NPs accumulation potentially interferes with action potentials, ion channels, nuclear pores and enhances the membrane insertion process when coated with lipopolysaccharides. TEM and EDX showed 7-20 nm NP Fe, Ti, Co, Ni, V, Hg, W, Al, Zn, Ag, Si, S, Br, Ce, La, and Pr in abnormal neural and vascular organelles. Brain accumulation of magnetic unstable particles start in childhood and cytotoxic, hyperthermia, free radical formation, and NPs motion associated to 30-50 μT (DC magnetic fields) are critical given ubiquitous electric and magnetic fields exposures could induce motion behavior and neural damage. Magnetic UFPM/NPs are a fatal brain cargo in children's brains, and a preventable AD, PD, FTLD, ALS environmental threat. Billions of people are at risk. We are clearly poisoning ourselves.
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Affiliation(s)
| | | | - Elijah W Stommel
- Department of Neurology, Geisel School of Medicine at Dartmouth, Hanover, NH, United States
| | | | | | - Ricardo Torres-Jardón
- Instituto de Ciencias de la Atmósfera y Cambio Climático, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | | | | | - Francisco Bautista
- Centro de Investigaciones en Geografía Ambiental, Universidad Nacional Autónoma de México, Morelia, Michoacan, Mexico
| | - Avto Goguitchaichvili
- Centro de Investigaciones en Geografía Ambiental, Universidad Nacional Autónoma de México, Morelia, Michoacan, Mexico
| | | | | | - Emel Koseoglu
- Department of Neurology, Erciyes Faculty of Medicine, Erciyes University, Kayseri, Türkiye
| | - Partha S Mukherjee
- Interdisciplinary Statistical Research Unit, Indian Statistical Institute, Kolkata, India
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Jicha GA, Tucker TC, Arnold SM, Nelson PT. Cancer research provides a model for advancing clinical trials in dementia in the era of disease-modifying Alzheimer's-type dementia therapies. Alzheimers Res Ther 2024; 16:184. [PMID: 39164754 PMCID: PMC11337902 DOI: 10.1186/s13195-024-01532-6] [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: 02/19/2024] [Accepted: 07/15/2024] [Indexed: 08/22/2024]
Abstract
Dementia and cancer are multifactorial, widely-feared, age-associated clinical syndromes that are increasing in prevalence. There have been major breakthroughs in clinical cancer research leading to some effective treatments, whereas the field of dementia has achieved comparatively limited success in clinical research. The lessons of cancer research may help those in the dementia research field in confronting some of the dilemmas faced when the clinical care regimen is not entirely safe or efficacious. Cancer clinical trials have assumed that untreated individuals with cancer are at high risk for morbidity and mortality after primary diagnoses. Thus, patients deserve a choice of clinical interventions, either standard of care or experimental, even if the benefits are not certain and the therapy's side effects are potentially severe. The prognosis for many individuals at risk for dementia carries a correspondingly high level of risk for both mortality and severe morbidity, particularly if one focuses on "health-span" rather than lifespan. Caregivers and patients can be strongly impacted by dementia and the many troubling associated symptoms that often go well beyond amnesia. Polls, surveys, and a literature on "dementia worry" strongly underscore that the public fears dementia. While there are institutional and industry hurdles that complicate enrollment in randomized trials, the gravity of the future morbidity and mortality inherent in a dementia diagnosis may require reconsideration of the current protective stance that limits the freedom of at-risk individuals (either symptomatic or asymptomatic) to participate and potentially benefit from ongoing clinical research. There is also evidence from both cancer and dementia research that individuals enrolled in the placebo arms of clinical trials have unexpectedly good outcomes, indicating that participation in clinical trial can have medical benefits to enrollees. To highlight aspects of cancer clinical research that may inform present and future dementia clinical research, this review highlights three main themes: the risk of side effects should be weighed against the often dire consequences of non-treatment; the desirability of long-term incremental (rather than "magic bullet") clinical advances; and, the eventual importance of combination therapies, reflecting that the dementia clinical syndrome has many underlying biological pathways.
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Affiliation(s)
- Gregory A Jicha
- Department of Neurology, University of Kentucky, Lexington, KY, USA
- Sanders-Brown Center On Aging, University of Kentucky, Lexington, KY, USA
| | - Thomas C Tucker
- College of Public Health, University of Kentucky, Lexington, KY, USA
- Markey Cancer Center, University of Kentucky, Lexington, KY, USA
| | - Susanne M Arnold
- Department of Internal Medicine, University of Kentucky, Lexington, KY, USA
- Markey Cancer Center, University of Kentucky, Lexington, KY, USA
| | - Peter T Nelson
- Department of Pathology and Laboratory Medicine, University of Kentucky, Rm 575 Lee Todd Bldg, 789 S. Limestone Ave, Lexington, KY, 40536, USA.
- Sanders-Brown Center On Aging, University of Kentucky, Lexington, KY, USA.
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Hart de Ruyter FJ, Evers MJAP, Morrema THJ, Dijkstra AA, den Haan J, Twisk JWR, de Boer JF, Scheltens P, Bouwman FH, Verbraak FD, Rozemuller AJ, Hoozemans JJM. Neuropathological hallmarks in the post-mortem retina of neurodegenerative diseases. Acta Neuropathol 2024; 148:24. [PMID: 39160362 PMCID: PMC11333524 DOI: 10.1007/s00401-024-02769-z] [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: 01/30/2024] [Revised: 07/14/2024] [Accepted: 07/14/2024] [Indexed: 08/21/2024]
Abstract
The retina is increasingly recognised as a potential source of biomarkers for neurodegenerative diseases. Hallmark protein aggregates in the retinal neuronal tissue could be imaged through light non-invasively. Post-mortem studies have already shown the presence of specific hallmark proteins in Alzheimer's disease, primary tauopathies, synucleinopathies and frontotemporal lobar degeneration. This study aims to assess proteinopathy in a post-mortem cohort with different neurodegenerative diseases and assess the presence of the primary pathology in the retina. Post-mortem eyes were collected in collaboration with the Netherlands Brain Bank from donors with Alzheimer's disease (n = 17), primary tauopathies (n = 8), synucleinopathies (n = 27), frontotemporal lobar degeneration (n = 8), mixed pathology (n = 11), other neurodegenerative diseases (n = 6), and cognitively normal controls (n = 25). Multiple cross sections of the retina and optic nerve tissue were immunostained using antibodies against pTau Ser202/Thr205 (AT8), amyloid-beta (4G8), alpha-synuclein (LB509), pTDP-43 Ser409/410 and p62-lck ligand (p62) and were assessed for the presence of aggregates and inclusions. pTau pathology was observed as a diffuse signal in Alzheimer's disease, primary tauopathies and controls with Alzheimer's disease neuropathological changes. Amyloid-beta was observed in the vessel wall and as cytoplasmic granular deposits in all groups. Alpha-synuclein pathology was observed as Lewy neurites in the retina in synucleinopathies associated with Lewy pathology and as oligodendroglial cytoplasmic inclusions in the optic nerve in multiple system atrophy. Anti-pTDP-43 generally showed typical neuronal cytoplasmic inclusion bodies in cases with frontotemporal lobar degeneration with TDP-43 and also in cases with later stages of limbic-associated TDP-43 encephalopathy. P62 showed inclusion bodies similar to those seen with anti-pTDP-43. Furthermore, pTau and alpha-synuclein pathology were significantly associated with increasing Braak stages for neurofibrillary tangles and Lewy bodies, respectively. Mixed pathology cases in this cohort consisted of cases (n = 6) with high Braak LB stages (> 4) and low or moderate AD pathology, high AD pathology (n = 1, Braak NFT 6, Thal phase 5) with moderate LB pathology, or a combination of low/moderate scores for different pathology scores in the brain (n = 4). There were no cases with advanced co-pathologies. In seven cases with Braak LB ≥ 4, LB pathology was observed in the retina, while tau pathology in the retina in the mixed pathology group (n = 11) could not be observed. From this study, we conclude that the retina reflects the presence of the major hallmark proteins associated with neurodegenerative diseases. Although low or moderate levels of copathology were found in the brains of most cases, the retina primarily manifested protein aggregates associated with the main neurodegenerative disease. These findings indicate that with appropriate retinal imaging techniques, retinal biomarkers have the potential to become highly accurate indicators for diagnosing the major neurodegenerative diseases of the brain.
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Affiliation(s)
- Frederique J Hart de Ruyter
- Amsterdam UMC, Vrije Universiteit Amsterdam, Pathology, Amsterdam Neuroscience, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.
- Amsterdam UMC, Vrije Universiteit Amsterdam, Alzheimer Center Amsterdam, Neurology, De Boelelaan 1117, Amsterdam, The Netherlands.
| | - Manon J A P Evers
- Amsterdam UMC, Vrije Universiteit Amsterdam, Pathology, Amsterdam Neuroscience, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Tjado H J Morrema
- Amsterdam UMC, Vrije Universiteit Amsterdam, Pathology, Amsterdam Neuroscience, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Anke A Dijkstra
- Amsterdam UMC, Vrije Universiteit Amsterdam, Pathology, Amsterdam Neuroscience, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Jurre den Haan
- Amsterdam UMC, Vrije Universiteit Amsterdam, Alzheimer Center Amsterdam, Neurology, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Jos W R Twisk
- Epidemiology and Data Science, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Johannes F de Boer
- LaserLaB, Physics and Astronomy, Vrije Universiteit Amsterdam, De Boelelaan 1081, Amsterdam, The Netherlands
| | - Philip Scheltens
- Amsterdam UMC, Vrije Universiteit Amsterdam, Alzheimer Center Amsterdam, Neurology, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Femke H Bouwman
- Amsterdam UMC, Vrije Universiteit Amsterdam, Alzheimer Center Amsterdam, Neurology, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Frank D Verbraak
- Amsterdam UMC, Vrije Universiteit Amsterdam, Ophthalmology, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Annemieke J Rozemuller
- Amsterdam UMC, Vrije Universiteit Amsterdam, Pathology, Amsterdam Neuroscience, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.
| | - Jeroen J M Hoozemans
- Amsterdam UMC, Vrije Universiteit Amsterdam, Pathology, Amsterdam Neuroscience, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
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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.
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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
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Zamboni G, Maramotti R, Salemme S, Tondelli M, Adani G, Vinceti G, Carbone C, Filippini T, Vinceti M, Pagnoni G, Chiari A. Age-specific prevalence of the different clinical presentations of AD and FTD in young-onset dementia. J Neurol 2024; 271:4326-4335. [PMID: 38643445 PMCID: PMC11233291 DOI: 10.1007/s00415-024-12364-7] [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: 02/13/2024] [Revised: 03/28/2024] [Accepted: 03/30/2024] [Indexed: 04/22/2024]
Abstract
BACKGROUND Studies have shown that the prevalence of all-variants Alzheimer's disease (AD) and frontotemporal dementia (FTD) both increase with age, even before the age of 65. However, it is not known whether their different clinical presentations all increase in prevalence with age in the same way. METHODS We studied the prevalence of the different clinical presentations of young-onset AD and FTD by 5-year age groups in a population-based study identifying all dementia patients with a diagnosis of AD and FTD and symptoms onset before age 65 in the Modena province, Italy. By using regression models of cumulative occurrences, we also estimated age-specific prevalence and compared the growth curves of the clinical presentations. RESULTS The prevalence of all-variants AD increased with age, from 18/1,000,000 in the 40-44 age group to 1411/1,000,000 in the 60-64 age group. The prevalence of all-variants FTD also increased with age, from 18/1,000,000 to 866/1,000,000. An estimation of age-specific prevalence functions of each clinical presentation showed that atypical non-amnestic AD and aphasic FTD grew the most in early ages, followed by the behavioural variant of FTD (bvFTD). Then, around the age of 60, amnestic AD took over and its age-specific prevalence continued to increase disproportionally compared to all the other clinical variants of AD and FTD, which, instead, started to decrease in prevalence. CONCLUSIONS Amnestic AD is the clinical presentation that increases the most with advancing age, followed by bvFTD, suggesting that there is a differential vulnerability to the effect of ageing within the same neurodegenerative disease.
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Affiliation(s)
- Giovanna Zamboni
- Dipartimento di Scienze Biomediche, Metaboliche e Neuroscienze, Università di Modena e Reggio Emilia, Via Giardini 1355, 41126, Modena, Italy.
- Neurologia, Azienda Ospedaliero Universitaria di Modena, Modena, Italy.
| | - Riccardo Maramotti
- Dipartimento di Scienze Biomediche, Metaboliche e Neuroscienze, Università di Modena e Reggio Emilia, Via Giardini 1355, 41126, Modena, Italy
- Dipartimento di Scienze Fisiche, Informatiche e Matematiche, Università di Modena e Reggio Emilia, Modena, Italy
| | - Simone Salemme
- Dipartimento di Scienze Biomediche, Metaboliche e Neuroscienze, Università di Modena e Reggio Emilia, Via Giardini 1355, 41126, Modena, Italy
| | - Manuela Tondelli
- Dipartimento di Scienze Biomediche, Metaboliche e Neuroscienze, Università di Modena e Reggio Emilia, Via Giardini 1355, 41126, Modena, Italy
- Neurologia, Azienda Ospedaliero Universitaria di Modena, Modena, Italy
| | - Giorgia Adani
- Dipartimento di Scienze Biomediche, Metaboliche e Neuroscienze, Università di Modena e Reggio Emilia, Via Giardini 1355, 41126, Modena, Italy
| | - Giulia Vinceti
- Neurologia, Azienda Ospedaliero Universitaria di Modena, Modena, Italy
| | - Chiara Carbone
- Dipartimento di Scienze Biomediche, Metaboliche e Neuroscienze, Università di Modena e Reggio Emilia, Via Giardini 1355, 41126, Modena, Italy
| | - Tommaso Filippini
- Dipartimento di Scienze Biomediche, Metaboliche e Neuroscienze, Università di Modena e Reggio Emilia, Via Giardini 1355, 41126, Modena, Italy
| | - Marco Vinceti
- Dipartimento di Scienze Biomediche, Metaboliche e Neuroscienze, Università di Modena e Reggio Emilia, Via Giardini 1355, 41126, Modena, Italy
| | - Giuseppe Pagnoni
- Dipartimento di Scienze Biomediche, Metaboliche e Neuroscienze, Università di Modena e Reggio Emilia, Via Giardini 1355, 41126, Modena, Italy
| | - Annalisa Chiari
- Neurologia, Azienda Ospedaliero Universitaria di Modena, Modena, Italy
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Rothenberg KG, Bekris L, Leverenz JB, Wu J, Lee J, Statsevych V, Ruggieri P, Jones SE. Cerebral Amyloid Angiopathy in Patients with Cognitive Impairment: Cerebrospinal Fluid Biomarkers. Dement Geriatr Cogn Disord 2024; 53:248-254. [PMID: 38889704 PMCID: PMC11446477 DOI: 10.1159/000539884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Accepted: 06/14/2024] [Indexed: 06/20/2024] Open
Abstract
INTRODUCTION Cerebral amyloid angiopathy (CAA) is characterized by amyloid β (Aβ) deposition in brain vessels, leading to hemorrhagic phenomena and cognitive impairment. Magnetic resonance imaging (MRI)-based criteria allow a diagnosis of probable CAA in vivo, but such a diagnosis cannot predict the eventual development of CAA. METHODS We conducted a retrospective cohort study of 464 patients with cognitive disorders whose data were included in a brain health biobank. De-identified parameters including sex, age, cognitive score, APOE status, and cerebrospinal fluid (CSF) levels of Aβ 1-40, Aβ 1-42, phosphorylated tau, and total tau were assessed in those with and without CAA. Odds ratios (ORs) and 95% confidence intervals (CIs) were determined. RESULTS CAA was present in 53 of 464 (11.5%) patients. P-tau level was significantly higher in those with CAA (115 vs. 84.3 pg/mL p = 0.038). In univariate analyses, the risk of developing CAA was higher with increased age (OR, 1.036; 95% CI: 1.008, 1.064; p = 0.011) and decreased CSF level of Aβ 1-40 (OR, 0.685; 95% CI: 0.534, 0.878; p = 0.003). In multivariate analyses, the risk of CAA remained higher with a decreased CSF level of Aβ 1-40 (OR, 0.681; 95% CI: 0.531, 0.874; p = 0.003). CONCLUSION These findings suggest that Aβ 1-40 levels in the CSF might be a useful molecular biomarker of CAA in patients with dementia.
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Affiliation(s)
- Kasia Gustaw Rothenberg
- Lou Ruvo Center for Brain Health, Neurological Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Lynn Bekris
- Genomic Medicine Institute Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | - James B. Leverenz
- Lou Ruvo Center for Brain Health, Neurological Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Jenny Wu
- Department of Radiology, Cleveland Clinic, Cleveland, OH, USA
| | - Jonathan Lee
- Department of Radiology, Cleveland Clinic, Cleveland, OH, USA
| | | | - Paul Ruggieri
- Department of Radiology, Cleveland Clinic, Cleveland, OH, USA
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Allali G. 20th Anniversary of Neurodegenerative Diseases: A Parallel (R)Evolution between the 20th and the 21st Century? NEURODEGENER DIS 2024; 24:2-5. [PMID: 38776877 DOI: 10.1159/000539440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2024] [Accepted: 05/18/2024] [Indexed: 05/25/2024] Open
Affiliation(s)
- Gilles Allali
- Leenaards Memory Center, Department of Clinical Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
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44
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Xue C, Kowshik SS, Lteif D, Puducheri S, Jasodanand VH, Zhou OT, Walia AS, Guney OB, Zhang JD, Pham ST, Kaliaev A, Andreu-Arasa VC, Dwyer BC, Farris CW, Hao H, Kedar S, Mian AZ, Murman DL, O’Shea SA, Paul AB, Rohatgi S, Saint-Hilaire MH, Sartor EA, Setty BN, Small JE, Swaminathan A, Taraschenko O, Yuan J, Zhou Y, Zhu S, Karjadi C, Ang TFA, Bargal SA, Plummer BA, Poston KL, Ahangaran M, Au R, Kolachalama VB. AI-based differential diagnosis of dementia etiologies on multimodal data. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.02.08.24302531. [PMID: 38585870 PMCID: PMC10996713 DOI: 10.1101/2024.02.08.24302531] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/09/2024]
Abstract
Differential diagnosis of dementia remains a challenge in neurology due to symptom overlap across etiologies, yet it is crucial for formulating early, personalized management strategies. Here, we present an AI model that harnesses a broad array of data, including demographics, individual and family medical history, medication use, neuropsychological assessments, functional evaluations, and multimodal neuroimaging, to identify the etiologies contributing to dementia in individuals. The study, drawing on 51,269 participants across 9 independent, geographically diverse datasets, facilitated the identification of 10 distinct dementia etiologies. It aligns diagnoses with similar management strategies, ensuring robust predictions even with incomplete data. Our model achieved a micro-averaged area under the receiver operating characteristic curve (AUROC) of 0.94 in classifying individuals with normal cognition, mild cognitive impairment and dementia. Also, the micro-averaged AUROC was 0.96 in differentiating the dementia etiologies. Our model demonstrated proficiency in addressing mixed dementia cases, with a mean AUROC of 0.78 for two co-occurring pathologies. In a randomly selected subset of 100 cases, the AUROC of neurologist assessments augmented by our AI model exceeded neurologist-only evaluations by 26.25%. Furthermore, our model predictions aligned with biomarker evidence and its associations with different proteinopathies were substantiated through postmortem findings. Our framework has the potential to be integrated as a screening tool for dementia in various clinical settings and drug trials, with promising implications for person-level management.
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Affiliation(s)
- Chonghua Xue
- Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Electrical & Computer Engineering, Boston University, MA, USA
| | - Sahana S. Kowshik
- Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Faculty of Computing & Data Sciences, Boston University, MA, USA
| | - Diala Lteif
- Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Computer Science, Boston University, MA, USA
| | - Shreyas Puducheri
- Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Varuna H. Jasodanand
- Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Olivia T. Zhou
- Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Anika S. Walia
- Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Osman B. Guney
- Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Electrical & Computer Engineering, Boston University, MA, USA
| | - J. Diana Zhang
- Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- School of Chemistry, University of New South Wales, Sydney, Australia
| | - Serena T. Pham
- Department of Radiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Artem Kaliaev
- Department of Radiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - V. Carlota Andreu-Arasa
- Department of Radiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Brigid C. Dwyer
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Chad W. Farris
- Department of Radiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Honglin Hao
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Sachin Kedar
- Departments of Neurology & Ophthalmology, Emory University School of Medicine, Atlanta, GA, USA
| | - Asim Z. Mian
- Department of Radiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Daniel L. Murman
- Department of Neurological Sciences, University of Nebraska Medical Center, Omaha, NE, USA
| | - Sarah A. O’Shea
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
| | - Aaron B. Paul
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Saurabh Rohatgi
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | | | - Emmett A. Sartor
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Bindu N. Setty
- Department of Radiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Juan E. Small
- Department of Radiology, Lahey Hospital & Medical Center, Burlington, MA, USA
| | | | - Olga Taraschenko
- Department of Neurological Sciences, University of Nebraska Medical Center, Omaha, NE, USA
| | - Jing Yuan
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Yan Zhou
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Shuhan Zhu
- Department of Neurology, Brigham & Women’s Hospital, Boston, MA, USA
| | - Cody Karjadi
- The Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Ting Fang Alvin Ang
- The Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Anatomy and Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Sarah A. Bargal
- Department of Computer Science, Georgetown University, Washington DC, USA
| | | | | | - Meysam Ahangaran
- Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Rhoda Au
- Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- The Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Anatomy and Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Boston University Alzheimer’s Disease Research Center, Boston, MA, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Vijaya B. Kolachalama
- Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Faculty of Computing & Data Sciences, Boston University, MA, USA
- Department of Computer Science, Boston University, MA, USA
- Boston University Alzheimer’s Disease Research Center, Boston, MA, USA
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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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Jin M, Ma Z, Dang R, Zhang H, Kim R, Xue H, Pascual J, Finkbeiner S, Head E, Liu Y, Jiang P. A Trisomy 21-linked Hematopoietic Gene Variant in Microglia Confers Resilience in Human iPSC Models of Alzheimer's Disease. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.12.584646. [PMID: 38559257 PMCID: PMC10979994 DOI: 10.1101/2024.03.12.584646] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
While challenging, identifying individuals displaying resilience to Alzheimer's disease (AD) and understanding the underlying mechanism holds great promise for the development of new therapeutic interventions to effectively treat AD. Down syndrome (DS), or trisomy 21, is the most common genetic cause of AD. Interestingly, some people with DS, despite developing AD neuropathology, show resilience to cognitive decline. Furthermore, DS individuals are at an increased risk of myeloid leukemia due to somatic mutations in hematopoietic cells. Recent studies indicate that somatic mutations in hematopoietic cells may lead to resilience to neurodegeneration. Microglia, derived from hematopoietic lineages, play a central role in AD etiology. We therefore hypothesize that microglia carrying the somatic mutations associated with DS myeloid leukemia may impart resilience to AD. Using CRISPR-Cas9 gene editing, we introduce a trisomy 21-linked hotspot CSF2RB A455D mutation into human pluripotent stem cell (hPSC) lines derived from both DS and healthy individuals. Employing hPSC-based in vitro microglia culture and in vivo human microglia chimeric mouse brain models, we show that in response to pathological tau, the CSF2RB A455D mutation suppresses microglial type-1 interferon signaling, independent of trisomy 21 genetic background. This mutation reduces neuroinflammation and enhances phagocytic and autophagic functions, thereby ameliorating senescent and dystrophic phenotypes in human microglia. Moreover, the CSF2RB A455D mutation promotes the development of a unique microglia subcluster with tissue repair properties. Importantly, human microglia carrying CSF2RB A455D provide protection to neuronal function, such as neurogenesis and synaptic plasticity in chimeric mouse brains where human microglia largely repopulate the hippocampus. When co-transplanted into the same mouse brains, human microglia with CSF2RB A455D mutation phagocytize and replace human microglia carrying the wildtype CSF2RB gene following pathological tau treatment. Our findings suggest that hPSC-derived CSF2RB A455D microglia could be employed to develop effective microglial replacement therapy for AD and other age-related neurodegenerative diseases, even without the need to deplete endogenous diseased microglia prior to cell transplantation.
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Affiliation(s)
- Mengmeng Jin
- Department of Cell Biology and Neuroscience, Rutgers University New Brunswick, Piscataway, NJ 08854, USA
| | - Ziyuan Ma
- Department of Cell Biology and Neuroscience, Rutgers University New Brunswick, Piscataway, NJ 08854, USA
| | - Rui Dang
- Department of Cell Biology and Neuroscience, Rutgers University New Brunswick, Piscataway, NJ 08854, USA
| | - Haiwei Zhang
- Department of Cell Biology and Neuroscience, Rutgers University New Brunswick, Piscataway, NJ 08854, USA
| | - Rachael Kim
- Department of Cell Biology and Neuroscience, Rutgers University New Brunswick, Piscataway, NJ 08854, USA
| | - Haipeng Xue
- Department of Environmental Health Sciences, Robert Stempel College of Public Health and Social Work, Center for Translational Science, Florida International University, Port St. Lucie, FL 34987, USA
| | - Jesse Pascual
- Department of Pathology and Laboratory Medicine, Department of Neurology, University of California, Irvine, CA 92697, USA
| | - Steven Finkbeiner
- Ceter for Systems and Therapeutics and the Taube/Koret Center for Neurodegenerative Disease, Gladstone Institutes; University of California, San Francisco, CA 94158, USA
- Departments of Neurology and Physiology, University of California, San Francisco, CA 94158, USA
| | - Elizabeth Head
- Department of Pathology and Laboratory Medicine, Department of Neurology, University of California, Irvine, CA 92697, USA
| | - Ying Liu
- Department of Environmental Health Sciences, Robert Stempel College of Public Health and Social Work, Center for Translational Science, Florida International University, Port St. Lucie, FL 34987, USA
| | - Peng Jiang
- Department of Cell Biology and Neuroscience, Rutgers University New Brunswick, Piscataway, NJ 08854, USA
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Sanchez E, Wilkinson T, Coughlan G, Mirza S, Baril A, Ramirez J, Binns MA, Black SE, Borrie M, Dilliott AA, Dixon RA, Dowlatshahi D, Farhan S, Finger E, Fischer CE, Frank A, Freedman M, Goncalves RA, Grimes DA, Hassan A, Hegele RA, Kumar S, Lang AE, Marras C, McLaughlin PM, Orange JB, Pasternak SH, Pollock BG, Rajji TK, Roberts AC, Robinson JF, Rogaeva E, Sahlas DJ, Saposnik G, Strong MJ, Swartz RH, Tang‐Wai DF, Tartaglia MC, Troyer AK, Kvartsberg H, Zetterberg H, Munoz DP, the ONDRI Investigators, Masellis M. Association of plasma biomarkers with cognition, cognitive decline, and daily function across and within neurodegenerative diseases: Results from the Ontario Neurodegenerative Disease Research Initiative. Alzheimers Dement 2024; 20:1753-1770. [PMID: 38105605 PMCID: PMC10984487 DOI: 10.1002/alz.13560] [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: 06/29/2023] [Revised: 10/02/2023] [Accepted: 10/29/2023] [Indexed: 12/19/2023]
Abstract
INTRODUCTION We investigated whether novel plasma biomarkers are associated with cognition, cognitive decline, and functional independence in activities of daily living across and within neurodegenerative diseases. METHODS Glial fibrillary acidic protein (GFAP), neurofilament light chain (NfL), phosphorylated tau (p-tau)181 and amyloid beta (Aβ)42/40 were measured using ultra-sensitive Simoa immunoassays in 44 healthy controls and 480 participants diagnosed with Alzheimer's disease/mild cognitive impairment (AD/MCI), Parkinson's disease (PD), frontotemporal dementia (FTD) spectrum disorders, or cerebrovascular disease (CVD). RESULTS GFAP, NfL, and/or p-tau181 were elevated among all diseases compared to controls, and were broadly associated with worse baseline cognitive performance, greater cognitive decline, and/or lower functional independence. While GFAP, NfL, and p-tau181 were highly predictive across diseases, p-tau181 was more specific to the AD/MCI cohort. Sparse associations were found in the FTD and CVD cohorts and for Aβ42/40 . DISCUSSION GFAP, NfL, and p-tau181 are valuable predictors of cognition and function across common neurodegenerative diseases, and may be useful in specialized clinics and clinical trials.
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Mimuro M, Iwasaki Y. Age-Related Pathology in Corticobasal Degeneration. Int J Mol Sci 2024; 25:2740. [PMID: 38473986 DOI: 10.3390/ijms25052740] [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: 02/02/2024] [Revised: 02/23/2024] [Accepted: 02/24/2024] [Indexed: 03/14/2024] Open
Abstract
Elderly human brains are vulnerable to multiple proteinopathies, although each protein has a different transmission pathway. Tau-immunoreactive astrocytes are well-known in elderly brains. In contrast, astrocytic plaques, a hallmark in corticobasal degeneration (CBD), rarely occur in aging and neurodegenerative disease other than CBD. To elucidate the clinicopathological correlation of aging-related pathology in CBD, we examined 21 pathologically proven CBD cases in our institute (12 males and 9 females, with a mean age of death 70.6 years). All CBD cases showed grains and neurofibrillary tangles (NFTs). Fifteen cases (71.4%) showed beta-amyloid deposition such as senile plaques or cerebral amyloid angiopathy. Three cases (14.3%) had Lewy body pathology. One case was classified as amygdala-predominant Lewy body disease, although no cases met the pathological criteria for Alzheimer's disease. Five cases (23.8%) displayed Limbic-predominant and age-related TDP-43 encephalopathy (LATE). NFTs, grains, and TDP-43-positive neuronal inclusions were widely distributed throughout the limbic system of CBD patients, but their densities were low. CBD might a have similar cell vulnerability and transmission pathway to that of multiple proteinopathy in aging brains.
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Affiliation(s)
- Maya Mimuro
- Department of Pathology, Mie University Hospital, Tsu 514-8507, Japan
- Institute for Medical Science of Aging, Aichi Medical University, Nagakute 480-1195, Japan
| | - Yasushi Iwasaki
- Institute for Medical Science of Aging, Aichi Medical University, Nagakute 480-1195, Japan
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Chang HY, Wang IF. Restoring functional TDP-43 oligomers in ALS and laminopathic cellular models through baicalein-induced reconfiguration of TDP-43 aggregates. Sci Rep 2024; 14:4620. [PMID: 38409193 PMCID: PMC10897466 DOI: 10.1038/s41598-024-55229-9] [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: 10/18/2023] [Accepted: 02/21/2024] [Indexed: 02/28/2024] Open
Abstract
A group of misfolded prone-to-aggregate domains in disease-causing proteins has recently been shown to adopt unique conformations that play a role in fundamental biological processes. These processes include the formation of membrane-less sub-organelles, alternative splicing, and gene activation and silencing. The cellular responses are regulated by the conformational switching of prone-to-aggregate domains, independently of changes in RNA or protein expression levels. Given this, targeting the misfolded states of disease-causing proteins to redirect them towards their physiological conformations is emerging as an effective therapeutic strategy for diseases caused by protein misfolding. In our study, we successfully identified baicalein as a potent structure-correcting agent. Our findings demonstrate that baicalein can reconfigure existing TDP-43 aggregates into an oligomeric state both in vitro and in disease cells. This transformation effectively restores the bioactivity of misfolded TDP-43 proteins in cellular models of ALS and premature aging in progeria. Impressively, in progeria cells where defective lamin A interferes with TDP-43-mediated exon skipping, the formation of pathological TDP-43 aggregates is promoted. Baicalein, however, restores the functionality of TDP-43 and mitigates nuclear shape defects in these laminopathic cells. This establishes a connection between lamin A and TDP-43 in the context of aging. Our findings suggest that targeting physiological TDP-43 oligomers could offer a promising therapeutic avenue for treating aging-associated disorders.
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Affiliation(s)
- Hsiang-Yu Chang
- Garage Brain Science, B201, Central Taiwan Innovation Campus, Ministry of Economic Affairs, Nantou City, 540219, Taiwan
- Yee Fan Med Inc, Temple City, CA, 91780, USA
- SABNP Lab, Univ Evry, INSERM U1204, Université Paris-Saclay, 91025, Evry, France
| | - I-Fan Wang
- Garage Brain Science, B201, Central Taiwan Innovation Campus, Ministry of Economic Affairs, Nantou City, 540219, Taiwan.
- Yee Fan Med Inc, Temple City, CA, 91780, USA.
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50
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Liampas I, Kyriakoulopoulou P, Siokas V, Tsiamaki E, Stamati P, Kefalopoulou Z, Chroni E, Dardiotis E. Apolipoprotein E Gene in α-Synucleinopathies: A Narrative Review. Int J Mol Sci 2024; 25:1795. [PMID: 38339074 PMCID: PMC10855384 DOI: 10.3390/ijms25031795] [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: 12/21/2023] [Revised: 01/27/2024] [Accepted: 01/30/2024] [Indexed: 02/12/2024] Open
Abstract
In this narrative review, we delved into the intricate interplay between Apolipoprotein E (APOE) alleles (typically associated with Alzheimer's disease-AD) and alpha-synucleinopathies (aS-pathies), involving Parkinson's disease (PD), Parkinson's disease dementia (PDD), dementia with Lewy bodies (DLB), and multiple-system atrophy (MSA). First, in-vitro, animal, and human-based data on the exacerbating effect of APOE4 on LB pathology were summarized. We found robust evidence that APOE4 carriage constitutes a risk factor for PDD-APOE2, and APOE3 may not alter the risk of developing PDD. We confirmed that APOE4 copies confer an increased hazard towards DLB, as well. Again APOE2 and APOE3 appear unrelated to the risk of conversion. Of note, in individuals with DLB APOE4, carriage appears to be intermediately prevalent between AD and PDD-PD (AD > DLB > PDD > PD). Less consistency existed when it came to PD; APOE-PD associations tended to be markedly modified by ethnicity. Finally, we failed to establish an association between the APOE gene and MSA. Phenotypic associations (age of disease onset, survival, cognitive-neuropsychiatric- motor-, and sleep-related manifestations) between APOE alleles, and each of the aforementioned conditions were also outlined. Finally, a synopsis of literature gaps was provided followed by suggestions for future research.
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Affiliation(s)
- Ioannis Liampas
- Department of Neurology, University Hospital of Larissa, School of Medicine, University of Thessaly, 41100 Larissa, Greece; (V.S.); (P.S.); (E.D.)
| | - Panagiota Kyriakoulopoulou
- Department of Neurology, University Hospital of Patras, School of Medicine, University of Patras, 26504 Rio Patras, Greece; (P.K.); (E.T.); (Z.K.); (E.C.)
| | - Vasileios Siokas
- Department of Neurology, University Hospital of Larissa, School of Medicine, University of Thessaly, 41100 Larissa, Greece; (V.S.); (P.S.); (E.D.)
| | - Eirini Tsiamaki
- Department of Neurology, University Hospital of Patras, School of Medicine, University of Patras, 26504 Rio Patras, Greece; (P.K.); (E.T.); (Z.K.); (E.C.)
| | - Polyxeni Stamati
- Department of Neurology, University Hospital of Larissa, School of Medicine, University of Thessaly, 41100 Larissa, Greece; (V.S.); (P.S.); (E.D.)
| | - Zinovia Kefalopoulou
- Department of Neurology, University Hospital of Patras, School of Medicine, University of Patras, 26504 Rio Patras, Greece; (P.K.); (E.T.); (Z.K.); (E.C.)
| | - Elisabeth Chroni
- Department of Neurology, University Hospital of Patras, School of Medicine, University of Patras, 26504 Rio Patras, Greece; (P.K.); (E.T.); (Z.K.); (E.C.)
| | - Efthimios Dardiotis
- Department of Neurology, University Hospital of Larissa, School of Medicine, University of Thessaly, 41100 Larissa, Greece; (V.S.); (P.S.); (E.D.)
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