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Chen C, Kumbhar R, Wang H, Yang X, Gadhave K, Rastegar C, Kimura Y, Behensky A, Kotha S, Kuo G, Katakam S, Jeong D, Wang L, Wang A, Chen R, Zhang S, Jin L, Workman CJ, Vignali DAA, Pletinkova O, Jia H, Peng W, Nauen DW, Wong PC, Redding‐Ochoa J, Troncoso JC, Ying M, Dawson VL, Dawson TM, Mao X. Lymphocyte-Activation Gene 3 Facilitates Pathological Tau Neuron-to-Neuron Transmission. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2303775. [PMID: 38327094 PMCID: PMC11040377 DOI: 10.1002/advs.202303775] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 11/27/2023] [Indexed: 02/09/2024]
Abstract
The spread of prion-like protein aggregates is a common driver of pathogenesis in various neurodegenerative diseases, including Alzheimer's disease (AD) and related Tauopathies. Tau pathologies exhibit a clear progressive spreading pattern that correlates with disease severity. Clinical observation combined with complementary experimental studies has shown that Tau preformed fibrils (PFF) are prion-like seeds that propagate pathology by entering cells and templating misfolding and aggregation of endogenous Tau. While several cell surface receptors of Tau are known, they are not specific to the fibrillar form of Tau. Moreover, the underlying cellular mechanisms of Tau PFF spreading remain poorly understood. Here, it is shown that the lymphocyte-activation gene 3 (Lag3) is a cell surface receptor that binds to PFF but not the monomer of Tau. Deletion of Lag3 or inhibition of Lag3 in primary cortical neurons significantly reduces the internalization of Tau PFF and subsequent Tau propagation and neuron-to-neuron transmission. Propagation of Tau pathology and behavioral deficits induced by injection of Tau PFF in the hippocampus and overlying cortex are attenuated in mice lacking Lag3 selectively in neurons. These results identify neuronal Lag3 as a receptor of pathologic Tau in the brain,and for AD and related Tauopathies, a therapeutic target.
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Katsumata Y, Fardo DW, Shade LMP, Wu X, Karanth SD, Hohman TJ, Schneider JA, Bennett DA, Farfel JM, Gauthreaux K, Mock C, Kukull WA, Abner EL, Nelson PT. Genetic associations with dementia-related proteinopathy: Application of item response theory. Alzheimers Dement 2024; 20:2906-2921. [PMID: 38460116 PMCID: PMC11032554 DOI: 10.1002/alz.13741] [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: 07/07/2023] [Revised: 11/28/2023] [Accepted: 11/30/2023] [Indexed: 03/11/2024]
Abstract
INTRODUCTION Although dementia-related proteinopathy has a strong negative impact on public health, and is highly heritable, understanding of the related genetic architecture is incomplete. METHODS We applied multidimensional generalized partial credit modeling (GPCM) to test genetic associations with dementia-related proteinopathies. Data were analyzed to identify candidate single nucleotide variants for the following proteinopathies: Aβ, tau, α-synuclein, and TDP-43. RESULTS Final included data comprised 966 participants with neuropathologic and WGS data. Three continuous latent outcomes were constructed, corresponding to TDP-43-, Aβ/Tau-, and α-synuclein-related neuropathology endophenotype scores. This approach helped validate known genotype/phenotype associations: for example, TMEM106B and GRN were risk alleles for TDP-43 pathology; and GBA for α-synuclein/Lewy bodies. Novel suggestive proteinopathy-linked alleles were also discovered, including several (SDHAF1, TMEM68, and ARHGEF28) with colocalization analyses and/or high degrees of biologic credibility. DISCUSSION A novel methodology using GPCM enabled insights into gene candidates for driving misfolded proteinopathies. HIGHLIGHTS Latent factor scores for proteinopathies were estimated using a generalized partial credit model. The three latent continuous scores corresponded well with proteinopathy severity. Novel genes associated with proteinopathies were identified. Several genes had high degrees of biologic credibility for dementia risk factors.
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Affiliation(s)
- Yuriko Katsumata
- Department of BiostatisticsUniversity of KentuckyLexingtonKentuckyUSA
- Sanders‐Brown Center on AgingUniversity of KentuckyLexingtonKentuckyUSA
| | - David W. Fardo
- Department of BiostatisticsUniversity of KentuckyLexingtonKentuckyUSA
- Sanders‐Brown Center on AgingUniversity of KentuckyLexingtonKentuckyUSA
| | | | - Xian Wu
- Department of BiostatisticsUniversity of KentuckyLexingtonKentuckyUSA
- Sanders‐Brown Center on AgingUniversity of KentuckyLexingtonKentuckyUSA
| | - Shama D. Karanth
- Department of SurgeryCollege of MedicineUniversity of FloridaGainesvilleFloridaUSA
- UF Health Cancer CenterUniversity of FloridaGainesvilleFloridaUSA
| | - Timothy J. Hohman
- Vanderbilt Memory and Alzheimer's CenterVanderbilt University Medical CenterNashvilleTennesseeUSA
| | - Julie A. Schneider
- Department of Neurological SciencesRush University Medical CenterChicagoIllinoisUSA
- Department of PathologyRush University Medical CenterChicagoIllinoisUSA
- Rush Alzheimer's Disease CenterRush University Medical CenterChicagoIllinoisUSA
| | - David A. Bennett
- Department of Neurological SciencesRush University Medical CenterChicagoIllinoisUSA
- Department of PathologyRush University Medical CenterChicagoIllinoisUSA
- Rush Alzheimer's Disease CenterRush University Medical CenterChicagoIllinoisUSA
| | - Jose M. Farfel
- Department of PathologyRush University Medical CenterChicagoIllinoisUSA
- Rush Alzheimer's Disease CenterRush University Medical CenterChicagoIllinoisUSA
| | - Kathryn Gauthreaux
- National Alzheimer's Coordinating CenterDepartment of EpidemiologyUniversity of WashingtonSeattleWashingtonUSA
| | - Charles Mock
- National Alzheimer's Coordinating CenterDepartment of EpidemiologyUniversity of WashingtonSeattleWashingtonUSA
| | - Walter A. Kukull
- National Alzheimer's Coordinating CenterDepartment of EpidemiologyUniversity of WashingtonSeattleWashingtonUSA
| | - Erin L. Abner
- Sanders‐Brown Center on AgingUniversity of KentuckyLexingtonKentuckyUSA
- Department of Epidemiology and Environmental HealthUniversity of KentuckyLexingtonKentuckyUSA
| | - Peter T. Nelson
- Sanders‐Brown Center on AgingUniversity of KentuckyLexingtonKentuckyUSA
- Department of PathologyDivision of NeuropathologyUniversity of KentuckyLexingtonKentuckyUSA
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Moradi E, Prakash M, Hall A, Solomon A, Strange B, Tohka J. Machine learning prediction of future amyloid beta positivity in amyloid-negative individuals. Alzheimers Res Ther 2024; 16:46. [PMID: 38414035 PMCID: PMC10900722 DOI: 10.1186/s13195-024-01415-w] [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: 08/25/2023] [Accepted: 02/11/2024] [Indexed: 02/29/2024]
Abstract
BACKGROUND The pathophysiology of Alzheimer's disease (AD) involves β -amyloid (A β ) accumulation. Early identification of individuals with abnormal β -amyloid levels is crucial, but A β quantification with positron emission tomography (PET) and cerebrospinal fluid (CSF) is invasive and expensive. METHODS We propose a machine learning framework using standard non-invasive (MRI, demographics, APOE, neuropsychology) measures to predict future A β -positivity in A β -negative individuals. We separately study A β -positivity defined by PET and CSF. RESULTS Cross-validated AUC for 4-year A β conversion prediction was 0.78 for the CSF-based and 0.68 for the PET-based A β definitions. Although not trained for the clinical status-change prediction, the CSF-based model excelled in predicting future mild cognitive impairment (MCI)/dementia conversion in cognitively normal/MCI individuals (AUCs, respectively, 0.76 and 0.89 with a separate dataset). CONCLUSION Standard measures have potential in detecting future A β -positivity and assessing conversion risk, even in cognitively normal individuals. The CSF-based definition led to better predictions than the PET-based definition.
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Affiliation(s)
- Elaheh Moradi
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, 70150, Finland.
| | - Mithilesh Prakash
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, 70150, Finland
| | - Anette Hall
- Institute of Clinical Medicine/Neurology, University of Eastern Finland, Kuopio, Finland
- Division of Clinical Geriatrics, Center for Alzheimer Research, Karolinska Institute, Stockholm, Sweden
| | - Alina Solomon
- Institute of Clinical Medicine/Neurology, University of Eastern Finland, Kuopio, Finland
- Division of Clinical Geriatrics, Center for Alzheimer Research, Karolinska Institute, Stockholm, Sweden
- Ageing Epidemiology Research Unit, School of Public Health, Imperial College London, London, UK
| | - Bryan Strange
- Laboratory for Clinical Neuroscience, Center for Biomedical Technology, Universidad Politécnica de Madrid, IdISSC, Madrid, Spain
- Reina Sofia Centre for Alzheimer's Research, Madrid, Spain
| | - Jussi Tohka
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, 70150, Finland
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Shi H, Mirzaei N, Koronyo Y, Davis MR, Robinson E, Braun GM, Jallow O, Rentsendorj A, Ramanujan VK, Fert-Bober J, Kramerov AA, Ljubimov AV, Schneider LS, Tourtellotte WG, Hawes D, Schneider JA, Black KL, Kayed R, Selenica MLB, Lee DC, Fuchs DT, Koronyo-Hamaoui M. Identification of retinal tau oligomers, citrullinated tau, and other tau isoforms in early and advanced AD and relations to disease status. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.13.579999. [PMID: 38405854 PMCID: PMC10888760 DOI: 10.1101/2024.02.13.579999] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
Importance This study identifies and quantifies diverse pathological tau isoforms in the retina of both early and advanced-stage Alzheimer's disease (AD) and determines their relationship with disease status. Objective A case-control study was conducted to investigate the accumulation of retinal neurofibrillary tangles (NFTs), paired helical filament (PHF)-tau, oligomeric tau (oligo-tau), hyperphosphorylated tau (p-tau), and citrullinated tau (Cit-tau) in relation to the respective brain pathology and cognitive dysfunction in mild cognitively impaired (MCI) and AD dementia patients versus normal cognition (NC) controls. Design setting and participants Eyes and brains from donors diagnosed with AD, MCI (due to AD), and NC were collected (n=75 in total), along with clinical and neuropathological data. Brain and retinal cross-sections-in predefined superior-temporal and inferior-temporal (ST/IT) subregions-were subjected to histopathology analysis or Nanostring GeoMx digital spatial profiling. Main outcomes and measure Retinal burden of NFTs (pretangles and mature tangles), PHF-tau, p-tau, oligo-tau, and Cit-tau was assessed in MCI and AD versus NC retinas. Pairwise correlations revealed associations between retinal and brain parameters and cognitive status. Results Increased retinal NFTs (1.8-fold, p=0.0494), PHF-tau (2.3-fold, p<0.0001), oligo-tau (9.1-fold, p<0.0001), CitR 209 -tau (4.3-fold, p<0.0001), pSer202/Thr205-tau (AT8; 4.1-fold, p<0.0001), and pSer396-tau (2.8-fold, p=0.0015) were detected in AD patients. Retinas from MCI patients showed significant increases in NFTs (2.0-fold, p=0.0444), CitR 209 -tau (3.5-fold, p=0.0201), pSer396-tau (2.6-fold, p=0.0409), and, moreover, oligo-tau (5.8-fold, p=0.0045). Nanostring GeoMx quantification demonstrated upregulated retinal p-tau levels in MCI patients at phosphorylation sites of Ser214 (2.3-fold, p=0.0060), Ser396 (1.8-fold, p=0.0052), Ser404 (2.4-fold, p=0.0018), and Thr231 (3.3-fold, p=0.0028). Strong correlations were found between retinal tau forms to paired-brain pathology and cognitive status: a) retinal oligo-tau vs. Braak stage (r=0.60, P=0.0002), b) retinal PHF-tau vs. ABC average score (r=0.64, P=0.0043), c) retinal pSer396-tau vs. brain NFTs (r=0.68, P<0.0001), and d) retinal pSer202/Thr205-tau vs. MMSE scores (r= -0.77, P=0.0089). Conclusions and Relevance This study reveals increases in immature and mature retinal tau isoforms in MCI and AD patients, highlighting their relationship with brain pathology and cognition. The data provide strong incentive to further explore retinal tauopathy markers that may be useful for early detection and monitoring of AD staging through noninvasive retinal imaging.
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Goldberg TE, Devanand DP, Fang Z, Kim H, Rueppel E, Tucker A, Carlson S, Lee S. Effects of APOE ε4 and Neuropathological Diagnoses on Neuropsychiatric Symptoms: Mediation Analyses and Likely Causation in an Integrated National Alzheimer's Coordinating Center Database. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2024:S2451-9022(24)00045-4. [PMID: 38336168 DOI: 10.1016/j.bpsc.2024.01.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Revised: 01/12/2024] [Accepted: 01/26/2024] [Indexed: 02/12/2024]
Abstract
BACKGROUND In this study, we sought to identify paths from APOE ε4 to neurobehaviors itemized on a neuropsychiatric inventory (Neuropsychiatric Inventory-Questionnaire [NPI-Q]) that involved neuropathologies associated with APOE ε4 (amyloid, tau, cerebral amyloid angiopathy, and Lewy bodies) or cognition mediators (memory or global cognitive status) as well as direct paths from APOE ε4 to neurobehaviors. METHODS A total of 1199 cases with available neurobehavioral, cognition, and neuropathological data were included. We conducted a series of causal mediation analyses in which APOE ε4 always served as the independent variable, and NPI-Q neurobehavioral items, when included in the mediation analysis, served as the outcome. Neuropathologies or cognition served as mediators. RESULTS Multiple significant indirect paths from APOE ε4 through neuropathologies to neurobehaviors were identified. More refined analyses indicated that neuritic plaques and Braak stage drove the findings. A significant direct effect of APOE ε4 on memory was also identified. Additionally, Lewy body disease, when treated as an exposure, had a direct effect on hallucinations consistent with features of the disease. CONCLUSIONS We found strong evidence for partial mediation of NPI-Q symptoms by cognition, suggesting that cognitive limitations may have promoted maladaptive behavior. In addition, neuritic amyloid plaque levels and Braak stage, but not diffuse amyloid plaque extent, were key in NPI-Q-mediated associations, suggesting the possibility that synaptic failure plays an important role in multiple neurobehavioral symptoms in dementia, including psychosis. Finally, we found strong evidence that APOE ε4 may have direct effects on cognition when we used verbal episodic memory but not global cognitive status as an outcome.
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Affiliation(s)
- Terry E Goldberg
- Department of Psychiatry, Columbia University Medical Center, New York, New York; Department of Anesthesiology, Columbia University Medical Center, New York, New York.
| | - D P Devanand
- Department of Psychiatry, Columbia University Medical Center, New York, New York; Department of Neurology, Columbia University Medical Center, New York, New York
| | - Zhiqian Fang
- Department of Psychiatry, Columbia University Medical Center, New York, New York; Data Science Institute, Columbia University, New York, New York
| | - Hyun Kim
- Department of Psychiatry, Columbia University Medical Center, New York, New York
| | - Elizabeth Rueppel
- Department of Psychiatry, Columbia University Medical Center, New York, New York
| | - Aren Tucker
- Department of Psychiatry, Columbia University Medical Center, New York, New York
| | - Scott Carlson
- Department of Psychiatry, Columbia University Medical Center, New York, New York
| | - Seonjoo Lee
- Department of Psychiatry, Columbia University Medical Center, New York, New York; Data Science Institute, Columbia University, New York, New York
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Kraner SD, Sompol P, Prateeptrang S, Promkan M, Hongthong S, Thongsopha N, Nelson PT, Norris CM. Development of a monoclonal antibody specific for a calpain-generated ∆48 kDa calcineurin fragment, a marker of distressed astrocytes. J Neurosci Methods 2024; 402:110012. [PMID: 37984591 PMCID: PMC10841921 DOI: 10.1016/j.jneumeth.2023.110012] [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: 09/14/2023] [Revised: 10/23/2023] [Accepted: 11/09/2023] [Indexed: 11/22/2023]
Abstract
BACKGROUND Calcineurin (CN) is a Ca2+/calmodulin-dependent protein phosphatase. In healthy tissue, CN exists mainly as a full-length (∼60 kDa) highly-regulated protein phosphatase involved in essential cellular functions. However, in diseased or injured tissue, CN is proteolytically converted to a constitutively active fragment that has been causatively-linked to numerous pathophysiologic processes. These calpain-cleaved CN fragments (∆CN) appear at high levels in human brain at early stages of cognitive decline associated with Alzheimer's disease (AD). NEW METHOD We developed a monoclonal antibody to ∆CN, using an immunizing peptide corresponding to the C-terminal end of the ∆CN fragment. RESULTS We obtained a mouse monoclonal antibody, designated 26A6, that selectively detects ∆CN in Western analysis of calpain-cleaved recombinant human CN. Using this antibody, we screened both pathological and normal human brain sections provided by the University of Kentucky's Alzheimer's Disease Research Center. 26A6 showed low reactivity towards normal brain tissue, but detected astrocytes both surrounding AD amyloid plaques and throughout AD brain tissue. In brain tissue with infarcts, there was considerable concentration of 26A6-positive astrocytes within/around infarcts, suggesting a link with anoxic/ischemia pathways. COMPARISON WITH EXISTING METHOD The results obtained with the new monoclonal are similar to those obtained with a polyclonal we had previously developed. However, the monoclonal is an abundant tool available to the dementia research community. CONCLUSIONS The new monoclonal 26A6 antibody is highly selective for the ∆CN proteolytic fragment and labels a subset of astrocytes, and could be a useful tool for marking insidious brain pathology and identifying novel astrocyte phenotypes.
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Affiliation(s)
| | - Pradoldej Sompol
- Sanders Brown Center on Aging, USA; Department of Pharmacology and Nutritional Sciences, University of Kentucky, Lexington, KY 40536, USA
| | - Siriyagon Prateeptrang
- Sanders Brown Center on Aging, USA; School of Allied Health Science, Walailak University, Nakhon Si Thammarat 80160, Thailand
| | - Moltira Promkan
- Sanders Brown Center on Aging, USA; Department of Clinical Microscopy, Faculty of Medical Technology, Mahidol University, Nakhon Pathom 73170, Thailand
| | - Suthida Hongthong
- Sanders Brown Center on Aging, USA; School of Allied Health Science, Walailak University, Nakhon Si Thammarat 80160, Thailand
| | - Napasorn Thongsopha
- Sanders Brown Center on Aging, USA; School of Allied Health Science, Walailak University, Nakhon Si Thammarat 80160, Thailand
| | - Peter T Nelson
- Sanders Brown Center on Aging, USA; Department of Pathology, University of Kentucky, Lexington, KY 40536, USA
| | - Christopher M Norris
- Sanders Brown Center on Aging, USA; Department of Pharmacology and Nutritional Sciences, University of Kentucky, Lexington, KY 40536, USA.
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Sanford SAI, Miller LVC, Vaysburd M, Keeling S, Tuck BJ, Clark J, Neumann M, Syanda V, James LC, McEwan WA. The type-I interferon response potentiates seeded tau aggregation and exacerbates tau pathology. Alzheimers Dement 2024; 20:1013-1025. [PMID: 37849026 PMCID: PMC10916982 DOI: 10.1002/alz.13493] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 09/07/2023] [Accepted: 09/09/2023] [Indexed: 10/19/2023]
Abstract
INTRODUCTION Signatures of a type-I interferon (IFN-I) response are observed in the post mortem brain in Alzheimer's disease (AD) and other tauopathies. However, the effect of the IFN-I response on pathological tau accumulation remains unclear. METHODS We examined the effects of IFN-I signaling in primary neural culture models of seeded tau aggregation and P301S-tau transgenic mouse models in the context of genetic deletion of the IFN-I receptor (IFNAR). RESULTS Polyinosinic:polycytidylic acid (PolyI:C), a synthetic analog of viral nucleic acids, evoked a potent cytokine response that enhanced seeded aggregation of tau in an IFN-I-dependent manner. IFN-I-induced vulnerability could be pharmacologically prevented and was intrinsic to neurons. Aged P301S-tau mice lacking Ifnar1 had significantly reduced tau pathology compared to mice with intact IFN signaling. DISCUSSION We identify a critical role for IFN-I in potentiating tau aggregation. IFN-I is therefore identified as a potential therapeutic target in AD and other tauopathies. HIGHLIGHTS Type-I IFN (IFN-I) promotes seeded tau aggregation in neural cultures. IFNAR inhibition prevents IFN-I driven sensitivity to tau aggregation. IFN-I driven vulnerability is intrinsic to neurons. Tau pathology is significantly reduced in aged P301S-tau mice lacking IFNAR.
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Affiliation(s)
- Sophie A. I. Sanford
- UK Dementia Research Institute at the University of CambridgeCambridgeUK
- Department of Clinical NeurosciencesUniversity of CambridgeCambridgeUK
| | - Lauren V. C. Miller
- UK Dementia Research Institute at the University of CambridgeCambridgeUK
- Department of Clinical NeurosciencesUniversity of CambridgeCambridgeUK
| | - Marina Vaysburd
- Medical Research Council Laboratory of Molecular BiologyFrancis Crick AvenueCambridgeUK
| | - Sophie Keeling
- UK Dementia Research Institute at the University of CambridgeCambridgeUK
- Department of Clinical NeurosciencesUniversity of CambridgeCambridgeUK
| | - Benjamin J. Tuck
- UK Dementia Research Institute at the University of CambridgeCambridgeUK
- Department of Clinical NeurosciencesUniversity of CambridgeCambridgeUK
| | - Jessica Clark
- Medical Research Council Laboratory of Molecular BiologyFrancis Crick AvenueCambridgeUK
| | - Michal Neumann
- Medical Research Council Laboratory of Molecular BiologyFrancis Crick AvenueCambridgeUK
| | - Victoria Syanda
- Medical Research Council Laboratory of Molecular BiologyFrancis Crick AvenueCambridgeUK
| | - Leo C. James
- Medical Research Council Laboratory of Molecular BiologyFrancis Crick AvenueCambridgeUK
| | - William A. McEwan
- UK Dementia Research Institute at the University of CambridgeCambridgeUK
- Department of Clinical NeurosciencesUniversity of CambridgeCambridgeUK
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Murphy MP, Buzinova VA, Johnson CE. The amyloid-β peptide: Guilty as charged? Biochim Biophys Acta Mol Basis Dis 2024; 1870:166945. [PMID: 37935338 PMCID: PMC10842071 DOI: 10.1016/j.bbadis.2023.166945] [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: 07/27/2023] [Revised: 10/25/2023] [Accepted: 10/31/2023] [Indexed: 11/09/2023]
Abstract
Recent years have seen both considerable progress and controversy in the Alzheimer's disease (AD) field. After decades of slow to negligible movement towards the development of disease modifying therapies, promising outcomes in recent clinical trials with several monoclonal antibodies targeting various forms of the amyloid-β (Aβ) peptide have at last opened a possible way forward. In fact, at this point multiple anti-Aβ therapeutics are close to receiving (or have already received) regulatory approval. Although these outcomes are not without some degree of divisiveness, the fact remains that targeting amyloid for removal has finally shown at least modest efficacy in slowing the otherwise relentless progression of the disease. Although the validation of the long standing amyloid cascade hypothesis would seem to be at hand, what remains is the puzzling issue of why - if Aβ indeed causes AD - does removing it from the brain not stop the disease entirely.
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Affiliation(s)
- M Paul Murphy
- Department of Molecular and Cellular Biochemistry and the Sanders-Brown Center on Aging University of Kentucky, 789 S. Limestone Street, Lexington, KY 40536, USA.
| | - Valeria A Buzinova
- Department of Molecular and Cellular Biochemistry and the Sanders-Brown Center on Aging University of Kentucky, 789 S. Limestone Street, Lexington, KY 40536, USA
| | - Carrie E Johnson
- Department of Molecular and Cellular Biochemistry and the Sanders-Brown Center on Aging University of Kentucky, 789 S. Limestone Street, Lexington, KY 40536, USA
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Goldberg TE, Devanand DP, Fang Z, Kim H, Rueppel E, Tucker A, Carlson S, Lee S. Effects of APOE e4 and Neuropathological Diagnoses on Neuropsychiatric Symptoms: Mediation Analyses and Likely Causation in an Integrated NACC Database. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.01.30.24301966. [PMID: 38352477 PMCID: PMC10863015 DOI: 10.1101/2024.01.30.24301966] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/19/2024]
Abstract
Background Our goal in this study was to identify paths from APOE e4 to neurobehaviors itemized on a neuropsychiatric inventory that involved neuropathologies associated with e4 (amyloid, tau, cerebral amyloid angiopathy, and Lewy bodies) or cognition mediators (memory or global cognitive status), as well as direct paths from e4 to cognition or neurobehaviors. Methods A total of 1199 cases with available neurobehavioral, cognition and neuropathological data were included. We then conducted a series of causal mediation analyses in R in which e4 always served as the independent variable and Neuropsychiatric Inventory (NPI) neurobehavioral items, when included in the mediation, the outcome. Neuropathologies or cognition served as mediators. Results Multiple significant indirect paths from e4 through neuropathologies to neurobehaviors were identified. More refined analyses indicated that neuritic plaques and Braak stage, but not extent of diffuse amyloid plaques, drove the findings. A significant direct effect of e4 to memory was also identified. Additionally, Lewy body disease, when treated as an exposure, had a direct effect on hallucinations in keeping with known features of the disease. Conclusions We found strong evidence for partial mediation of NPI symptoms by cognition, suggesting that cognitive limitations that may have influenced understanding (or misunderstanding) the environment with impacts on maladaptive behavior. In addition, neuritic amyloid plaque levels and Braak stage, but not diffuse amyloid plaque extent, were key in NPI mediated associations suggesting the possibility that synaptic failure play an important role in multiple neurobehavioral symptoms in dementia, including psychosis. Last, we found strong evidence that e4 may have direct effects on cognition when we used verbal episodic memory as an outcome, suggesting that medial temporal regions that support memory may be sensitive to non-amyloidogenic and non-tau related pathophysiological processes.
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Affiliation(s)
- Terry E Goldberg
- Department of Psychiatry, Columbia University Medical Center, NYC, NY
- Department of Anesthesiology, Columbia University Medical Center, NYC, NY
| | - D P Devanand
- Department of Psychiatry, Columbia University Medical Center, NYC, NY
- Department of Neurology, Columbia University Medical Center, NYC, NY
| | - Zhiqian Fang
- Department of Psychiatry, Columbia University Medical Center, NYC, NY
- Data Science Institute, Columbia University
| | - Hyun Kim
- Department of Psychiatry, Columbia University Medical Center, NYC, NY
| | - Elizabeth Rueppel
- Department of Psychiatry, Columbia University Medical Center, NYC, NY
| | - Aren Tucker
- Department of Psychiatry, Columbia University Medical Center, NYC, NY
| | - Scott Carlson
- Department of Psychiatry, Columbia University Medical Center, NYC, NY
| | - Seonjoo Lee
- Department of Psychiatry, Columbia University Medical Center, NYC, NY
- Data Science Institute, Columbia University
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Bermejo-Pareja F, del Ser T. Controversial Past, Splendid Present, Unpredictable Future: A Brief Review of Alzheimer Disease History. J Clin Med 2024; 13:536. [PMID: 38256670 PMCID: PMC10816332 DOI: 10.3390/jcm13020536] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 12/29/2023] [Accepted: 01/04/2024] [Indexed: 01/24/2024] Open
Abstract
Background: The concept of Alzheimer disease (AD)-since its histological discovery by Alzheimer to the present day-has undergone substantial modifications. Methods: We conducted a classical narrative review of this field with a bibliography selection (giving preference to Medline best match). Results: The following subjects are reviewed and discussed: Alzheimer's discovery, Kraepelin's creation of a new disease that was a rare condition until the 1970's, the growing interest and investment in AD as a major killer in a society with a large elderly population in the second half of the 20th century, the consolidation of the AD clinicopathological model, and the modern AD nosology based on the dominant amyloid hypothesis among many others. In the 21st century, the development of AD biomarkers has supported a novel biological definition of AD, although the proposed therapies have failed to cure this disease. The incidence of dementia/AD has shown a decrease in affluent countries (possibly due to control of risk factors), and mixed dementia has been established as the most frequent etiology in the oldest old. Conclusions: The current concept of AD lacks unanimity. Many hypotheses attempt to explain its complex physiopathology entwined with aging, and the dominant amyloid cascade has yielded poor therapeutic results. The reduction in the incidence of dementia/AD appears promising but it should be confirmed in the future. A reevaluation of the AD concept is also necessary.
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Affiliation(s)
- Félix Bermejo-Pareja
- CIBERNED, Institute of Health Carlos III, 28029 Madrid, Spain
- Institute of Research i+12, University Hospital “12 de Octubre”, 28041 Madrid, Spain
| | - Teodoro del Ser
- Alzheimer’s Centre Reina Sofia—CIEN Foundation, Institute of Health Carlos III, 28031 Madrid, Spain;
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Choi CY, Gadhave K, Villano J, Pekosz A, Mao X, Jia H. Generation and characterization of a humanized ACE2 mouse model to study long-term impacts of SARS-CoV-2 infection. J Med Virol 2024; 96:e29349. [PMID: 38185937 PMCID: PMC10783855 DOI: 10.1002/jmv.29349] [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: 11/30/2023] [Accepted: 12/13/2023] [Indexed: 01/09/2024]
Abstract
Although the COVID-19 pandemic has officially ended, the persistent challenge of long-COVID or post-acute COVID sequelae (PASC) continues to impact societies globally, highlighting the urgent need for ongoing research into its mechanisms and therapeutic approaches. Our team has recently developed a novel humanized ACE2 mouse model (hACE2ki) designed explicitly for long-COVID/PASC research. This model exhibits human ACE2 expression in tissue and cell-specific patterns akin to mouse Ace2. When we exposed young adult hACE2ki mice (6 weeks old) to various SARS-CoV-2 lineages, including WA, Delta, and Omicron, at a dose of 5 × 105 PFU/mouse via nasal instillation, the mice demonstrated distinctive phenotypes characterized by differences in viral load in the lung, trachea, and nasal turbinate, weight loss, and changes in pro-inflammatory cytokines and immune cell profiles in bronchoalveolar lavage fluid. Notably, no mortality was observed in this age group. Further, to assess the model's relevance for long-COVID studies, we investigated tau protein pathologies, which are linked to Alzheimer's disease, in the brains of these mice post SARS-CoV-2 infection. Our findings revealed the accumulation and longitudinal propagation of tau, confirming the potential of our hACE2ki mouse model for preclinical studies of long-COVID.
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Affiliation(s)
- Chang-Yong Choi
- Division of Pediatric Surgery, Department of Surgery, Johns Hopkins University School, of Medicine, Baltimore, MD 21205, USA
| | - Kundlik Gadhave
- Institute for Cell Engineering, Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Jason Villano
- Molecular and Comparative Pathobiology, The Johns Hopkins School of Medicine, Baltimore, MD 21205, USA
| | - Andrew Pekosz
- Department of Molecular Microbiology and Immunology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Xiaobo Mao
- Institute for Cell Engineering, Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Institute for NanoBioTechnology, Department of Material Science and Engineering, Johns Hopkins Whiting School of Engineering, Baltimore, MD 21218, USA
| | - Hongpeng Jia
- Division of Pediatric Surgery, Department of Surgery, Johns Hopkins University School, of Medicine, Baltimore, MD 21205, USA
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12
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Bocancea DI, Svenningsson AL, van Loenhoud AC, Groot C, Barkhof F, Strandberg O, Smith R, La Joie R, Rosen HJ, Pontecorvo MJ, Rabinovici GD, van der Flier WM, Hansson O, Ossenkoppele R. Determinants of cognitive and brain resilience to tau pathology: a longitudinal analysis. Brain 2023; 146:3719-3734. [PMID: 36967222 PMCID: PMC10473572 DOI: 10.1093/brain/awad100] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Revised: 02/03/2023] [Accepted: 02/23/2023] [Indexed: 09/03/2023] Open
Abstract
Mechanisms of resilience against tau pathology in individuals across the Alzheimer's disease spectrum are insufficiently understood. Longitudinal data are necessary to reveal which factors relate to preserved cognition (i.e. cognitive resilience) and brain structure (i.e. brain resilience) despite abundant tau pathology, and to clarify whether these associations are cross-sectional or longitudinal. We used a longitudinal study design to investigate the role of several demographic, biological and brain structural factors in yielding cognitive and brain resilience to tau pathology as measured with PET. In this multicentre study, we included 366 amyloid-β-positive individuals with mild cognitive impairment or Alzheimer's disease dementia with baseline 18F-flortaucipir-PET and longitudinal cognitive assessments. A subset (n = 200) additionally underwent longitudinal structural MRI. We used linear mixed-effects models with global cognition and cortical thickness as dependent variables to investigate determinants of cognitive resilience and brain resilience, respectively. Models assessed whether age, sex, years of education, APOE-ε4 status, intracranial volume (and cortical thickness for cognitive resilience models) modified the association of tau pathology with cognitive decline or cortical thinning. We found that the association between higher baseline tau-PET levels (quantified in a temporal meta-region of interest) and rate of cognitive decline (measured with repeated Mini-Mental State Examination) was adversely modified by older age (Stβinteraction = -0.062, P = 0.032), higher education level (Stβinteraction = -0.072, P = 0.011) and higher intracranial volume (Stβinteraction = -0.07, P = 0.016). Younger age, higher education and greater cortical thickness were associated with better cognitive performance at baseline. Greater cortical thickness was furthermore associated with slower cognitive decline independent of tau burden. Higher education also modified the negative impact of tau-PET on cortical thinning, while older age was associated with higher baseline cortical thickness and slower rate of cortical thinning independent of tau. Our analyses revealed no (cross-sectional or longitudinal) associations for sex and APOE-ε4 status on cognition and cortical thickness. In this longitudinal study of clinically impaired individuals with underlying Alzheimer's disease neuropathological changes, we identified education as the most robust determinant of both cognitive and brain resilience against tau pathology. The observed interaction with tau burden on cognitive decline suggests that education may be protective against cognitive decline and brain atrophy at lower levels of tau pathology, with a potential depletion of resilience resources with advancing pathology. Finally, we did not find major contributions of sex to brain nor cognitive resilience, suggesting that previous links between sex and resilience might be mainly driven by cross-sectional differences.
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Affiliation(s)
- Diana I Bocancea
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, 1081 HZ Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, 1081 HV Amsterdam, The Netherlands
| | | | - Anna C van Loenhoud
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, 1081 HZ Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, 1081 HV Amsterdam, The Netherlands
| | - Colin Groot
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, 1081 HZ Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, 1081 HV Amsterdam, The Netherlands
- Clinical Memory Research Unit, Lund University, 211 46 Lund, Sweden
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC, 1081 HV Amsterdam, The Netherlands
- Queen Square Institute of Neurology and Center for Medical Image Computing, University College London, London WC1N 3BG, UK
| | - Olof Strandberg
- Clinical Memory Research Unit, Lund University, 211 46 Lund, Sweden
| | - Ruben Smith
- Clinical Memory Research Unit, Lund University, 211 46 Lund, Sweden
- Department of Neurology, Skåne University Hospital, 221 84 Lund, Sweden
| | - Renaud La Joie
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, CA 94158, USA
| | - Howard J Rosen
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, CA 94158, USA
| | | | - Gil D Rabinovici
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, CA 94158, USA
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA 94143, USA
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, 1081 HZ Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, 1081 HV Amsterdam, The Netherlands
- Department of Epidemiology and Biostatistics, Vrije Universiteit Amsterdam, Amsterdam UMC, 1081 HV Amsterdam, The Netherlands
| | - Oskar Hansson
- Clinical Memory Research Unit, Lund University, 211 46 Lund, Sweden
- Memory Clinic, Skåne University Hospital, 214 28 Malmö, Sweden
| | - Rik Ossenkoppele
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, 1081 HZ Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, 1081 HV Amsterdam, The Netherlands
- Clinical Memory Research Unit, Lund University, 211 46 Lund, Sweden
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13
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Ighodaro ET, Shahidehpour RK, Bachstetter AD, Abner EL, Nelson RS, Fardo DW, Shih AY, Grant RI, Neltner JH, Schmitt FA, Jicha GA, Kryscio RJ, Wilcock DM, Van Eldik LJ, Nelson PT. A neuropathologic feature of brain aging: multi-lumen vascular profiles. Acta Neuropathol Commun 2023; 11:138. [PMID: 37641147 PMCID: PMC10464008 DOI: 10.1186/s40478-023-01638-2] [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: 06/23/2023] [Accepted: 08/13/2023] [Indexed: 08/31/2023] Open
Abstract
Cerebrovascular pathologies other than frank infarctions are commonly seen in aged brains. Here, we focus on multi-lumen vascular profiles (MVPs), which are characterized by multiple vessel lumens enclosed in a single vascular channel. Little information exists on the prevalence, risk factors, and co-pathologies of MVPs. Therefore, we used samples and data from the University of Kentucky Alzheimer's Disease Research Center (n = 91), the University of Kentucky Pathology Department (n = 31), and the University of Pittsburgh Pathology Department (n = 4) to study MVPs. Age at death was correlated with MVP density in the frontal neocortex, Brodmann Area 9 (r = 0.51; p < 0.0001). Exploratory analyses were performed to evaluate the association between conventional vascular risk factors (e.g., hypertension, diabetes), cardiovascular diseases (e.g., heart attack, arrhythmia), and cerebrovascular disease (e.g., stroke); the only nominal association with MVP density was a self-reported history of brain trauma (Prevalence Ratio = 2.1; 95 CI 1.1-3.9, before correcting for multiple comparisons). No specific associations were detected between neuropathological (e.g., brain arteriolosclerosis) or genetic (e.g., APOE) variables and MVP density. Using a tissue clearing method called SeeDB, we provide 3-dimensional images of MVPs in brain tissue. We conclude that MVPs are an age-related brain pathology and more work is required to identify their clinical-pathological correlation and associated risk factors.
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Affiliation(s)
- Eseosa T Ighodaro
- Department of Neurology, Emory University, Atlanta, GA, USA
- Sanders-Brown Center On Aging, University of Kentucky, Rm 575 Lee Todd Bldg, 789 S. Limestone Ave, Lexington, KY, 40536, USA
| | - Ryan K Shahidehpour
- Sanders-Brown Center On Aging, University of Kentucky, Rm 575 Lee Todd Bldg, 789 S. Limestone Ave, Lexington, KY, 40536, USA
- Department of Neuroscience, University of Kentucky, Lexington, KY, 40536, USA
- Spinal Cord and Brain Injury Research Center, University of Kentucky, Lexington, KY, 40536, USA
| | - Adam D Bachstetter
- Sanders-Brown Center On Aging, University of Kentucky, Rm 575 Lee Todd Bldg, 789 S. Limestone Ave, Lexington, KY, 40536, USA
- Department of Neuroscience, University of Kentucky, Lexington, KY, 40536, USA
- Spinal Cord and Brain Injury Research Center, University of Kentucky, Lexington, KY, 40536, USA
| | - Erin L Abner
- Sanders-Brown Center On Aging, University of Kentucky, Rm 575 Lee Todd Bldg, 789 S. Limestone Ave, Lexington, KY, 40536, USA
- Department of Epidemiology and Environmental Health, University of Kentucky, Lexington, KY, 40536, USA
| | | | - David W Fardo
- Sanders-Brown Center On Aging, University of Kentucky, Rm 575 Lee Todd Bldg, 789 S. Limestone Ave, Lexington, KY, 40536, USA
- Department of Biostatistics, University of Kentucky, Lexington, KY, 40536, USA
| | - Andy Y Shih
- Department of Pediatrics, Center for Developmental Biology and Regenerative Medicine, Seattle Children's Research Institute, University of Washington, Seattle, WA, 98101, USA
| | - Roger I Grant
- Department of Neurosciences and Center for Biomedical Imaging, Medical University of South Carolina, Charleston, SC, 29425, USA
| | - Janna H Neltner
- Department of Pathology and Laboratory Medicine, Division of Neuropathology, University of Kentucky, Lexington, KY, 40536, USA
| | - Frederick A Schmitt
- Sanders-Brown Center On Aging, University of Kentucky, Rm 575 Lee Todd Bldg, 789 S. Limestone Ave, Lexington, KY, 40536, USA
- Department of Neurology, University of Kentucky, Lexington, KY, 40536, USA
| | - Gregory A Jicha
- Sanders-Brown Center On Aging, University of Kentucky, Rm 575 Lee Todd Bldg, 789 S. Limestone Ave, Lexington, KY, 40536, USA
- Department of Neurology, University of Kentucky, Lexington, KY, 40536, USA
| | - Richard J Kryscio
- Sanders-Brown Center On Aging, University of Kentucky, Rm 575 Lee Todd Bldg, 789 S. Limestone Ave, Lexington, KY, 40536, USA
- Department of Statistics, University of Kentucky, Lexington, KY, 40536, USA
- Department of Biostatistics, University of Kentucky, Lexington, KY, 40536, USA
| | - Donna M Wilcock
- Sanders-Brown Center On Aging, University of Kentucky, Rm 575 Lee Todd Bldg, 789 S. Limestone Ave, Lexington, KY, 40536, USA
| | - Linda J Van Eldik
- Sanders-Brown Center On Aging, University of Kentucky, Rm 575 Lee Todd Bldg, 789 S. Limestone Ave, Lexington, KY, 40536, USA
- Department of Neuroscience, University of Kentucky, Lexington, KY, 40536, USA
| | - Peter T Nelson
- Sanders-Brown Center On Aging, University of Kentucky, Rm 575 Lee Todd Bldg, 789 S. Limestone Ave, Lexington, KY, 40536, USA.
- Department of Neuroscience, University of Kentucky, Lexington, KY, 40536, USA.
- Department of Pathology and Laboratory Medicine, Division of Neuropathology, University of Kentucky, Lexington, KY, 40536, USA.
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14
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Vogelgsang J, Dan S, Lally AP, Chatigny M, Vempati S, Abston J, Durning PT, Oakley DH, McCoy TH, Klengel T, Berretta S. Dimensional clinical phenotyping using post-mortem brain donor medical records: post-mortem RDoC profiling is associated with Alzheimer's disease neuropathology. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2023; 15:e12464. [PMID: 37745891 PMCID: PMC10517223 DOI: 10.1002/dad2.12464] [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] [Received: 05/02/2023] [Revised: 06/30/2023] [Accepted: 07/07/2023] [Indexed: 09/26/2023]
Abstract
Introduction Transdiagnostic dimensional phenotypes are essential to investigate the relationship between continuous symptom dimensions and pathological changes. This is a fundamental challenge to post-mortem work, as assessments of phenotypic concepts need to rely on existing records. Methods We adapted well-validated methodologies to compute National Institute of Mental Health Research Domain Criteria (RDoC) scores using natural language processing (NLP) from electronic health records (EHRs) obtained from post-mortem brain donors and tested whether cognitive domain scores were associated with Alzheimer's disease neuropathological measures. Results Our results confirm an association of EHR-derived cognitive scores with neuropathological findings. Notably, higher neuropathological load, particularly neuritic plaques, was associated with higher cognitive burden scores in the frontal (ß = 0.38, P = 0.0004), parietal (ß = 0.35, P = 0.0008), temporal (ß = 0.37, P = 0.0004) and occipital (ß = 0.37, P = 0.0003) lobes. Discussion This proof-of-concept study supports the validity of NLP-based methodologies to obtain quantitative measures of RDoC clinical domains from post-mortem EHR. The associations may accelerate post-mortem brain research beyond classical case-control designs.
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Affiliation(s)
- Jonathan Vogelgsang
- Department of Psychiatry, McLean HospitalHarvard Medical SchoolBelmontMassachusettsUSA
| | - Shu Dan
- Department of Psychiatry, McLean HospitalHarvard Medical SchoolBelmontMassachusettsUSA
| | - Anna P. Lally
- Department of Psychiatry, McLean HospitalHarvard Medical SchoolBelmontMassachusettsUSA
| | - Michael Chatigny
- Department of Psychiatry, McLean HospitalHarvard Medical SchoolBelmontMassachusettsUSA
- Harvard Brain Tissue Resource Center, McLean HospitalHarvard Medical SchoolBelmontMassachusettsUSA
| | - Sangeetha Vempati
- Department of Psychiatry, McLean HospitalHarvard Medical SchoolBelmontMassachusettsUSA
| | - Joshua Abston
- Department of Psychiatry, McLean HospitalHarvard Medical SchoolBelmontMassachusettsUSA
| | - Peter T. Durning
- Department of Psychiatry, McLean HospitalHarvard Medical SchoolBelmontMassachusettsUSA
| | - Derek H. Oakley
- Harvard Brain Tissue Resource Center, McLean HospitalHarvard Medical SchoolBelmontMassachusettsUSA
- Department of Pathology, Massachusetts General HospitalHarvard Medical SchoolBostonMassachusettsUSA
| | - Thomas H. McCoy
- Department of Psychiatry and Medicine, Massachusetts General HospitalHarvard Medical SchoolBostonMassachusettsUSA
| | - Torsten Klengel
- Department of Psychiatry, McLean HospitalHarvard Medical SchoolBelmontMassachusettsUSA
- Harvard Brain Tissue Resource Center, McLean HospitalHarvard Medical SchoolBelmontMassachusettsUSA
| | - Sabina Berretta
- Department of Psychiatry, McLean HospitalHarvard Medical SchoolBelmontMassachusettsUSA
- Harvard Brain Tissue Resource Center, McLean HospitalHarvard Medical SchoolBelmontMassachusettsUSA
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15
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Gonzalez J, Wilson A, Byrd D, Cortes EP, Crary JF, Morgello S. Neuronal accumulation of hyperphosphorylated tau protein predicts stable memory impairment in people living with HIV. AIDS 2023; 37:1247-1256. [PMID: 36988209 PMCID: PMC10539475 DOI: 10.1097/qad.0000000000003556] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/30/2023]
Abstract
OBJECTIVES As lifespans increase in people with HIV (PWH), there is concern that age-related neurodegenerative disorders may contribute to cognitive decline. We asked whether brain accumulation of Alzheimer's disease (AD)-associated proteins amyloid-beta (Aβ) and hyperphosphorylated tau (p-tau) predicted cognitive performance in middle-aged PWH. METHODS In a prospectively followed, cognitively-characterized autopsy sample of 135 PWH, we used immunohistochemistry to assess Aβ plaques and neuronal p-tau in medial temporal and lateral frontal lobes. These pathologies were tested for associations with cognitive performance in seven domains: motor, speed of information processing, working memory, memory encoding, memory retrieval, verbal fluency, and abstraction/executive function. Univariate and multivariate analyses accounting for HIV-associated variables, reading level, and comorbidities were conducted. Longitudinal trajectories of memory functions were evaluated in 60 individuals with a median follow-up of 6.0 years. RESULTS In this population with mean age 51.4 ± 0.9 years, 58% displayed neuronal p-tau and 29% Aβ plaques. Neuronal p-tau, but not Aβ, predicted worse memory encoding and retrieval, but not other cognitive functions. With an ordinal hierarchy of neuronal p-tau locations (entorhinal, hippocampal, neocortical), decreased memory performance correlated with neocortical distribution. Memory function trajectories could not be distinguished between individuals with and without neuronal p-tau, and over 80% of the sample showed no change over time. CONCLUSION In this middle-aged sample, neuronal p-tau accumulation contributes to memory deficits, but is not associated with accelerated decline in function over time. In the absence of AD-like deterioration, other etiologies for neuronal p-tau in cognitively impaired PWH must be considered.
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Affiliation(s)
| | - Alyssa Wilson
- Department of Neurology
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai
| | - Desiree Byrd
- Department of Neurology
- Department of Psychology, Queens College and the Graduate Center, City University of New York
| | | | - John F Crary
- Department of Pathology
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Susan Morgello
- Department of Neurology
- Department of Pathology
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York, USA
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16
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Wong DR, Magaki SD, Vinters HV, Yong WH, Monuki ES, Williams CK, Martini AC, DeCarli C, Khacherian C, Graff JP, Dugger BN, Keiser MJ. Learning fast and fine-grained detection of amyloid neuropathologies from coarse-grained expert labels. Commun Biol 2023; 6:668. [PMID: 37355729 PMCID: PMC10290693 DOI: 10.1038/s42003-023-05031-6] [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: 01/25/2023] [Accepted: 06/08/2023] [Indexed: 06/26/2023] Open
Abstract
Precise, scalable, and quantitative evaluation of whole slide images is crucial in neuropathology. We release a deep learning model for rapid object detection and precise information on the identification, locality, and counts of cored plaques and cerebral amyloid angiopathy (CAA). We trained this object detector using a repurposed image-tile dataset without any human-drawn bounding boxes. We evaluated the detector on a new manually-annotated dataset of whole slide images (WSIs) from three institutions, four staining procedures, and four human experts. The detector matched the cohort of neuropathology experts, achieving 0.64 (model) vs. 0.64 (cohort) average precision (AP) for cored plaques and 0.75 vs. 0.51 AP for CAAs at a 0.5 IOU threshold. It provided count and locality predictions that approximately correlated with gold-standard human CERAD-like WSI scoring (p = 0.07 ± 0.10). The openly-available model can quickly score WSIs in minutes without a GPU on a standard workstation.
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Affiliation(s)
- Daniel R Wong
- Institute for Neurodegenerative Diseases, University of California, San Francisco, San Francisco, CA, 94158, USA
- Bakar Computational Health Sciences Institute, University of California, San Francisco, CA, 94158, USA
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, 94158, USA
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, 94158, USA
- Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, CA, 94158, USA
| | - Shino D Magaki
- Department of Pathology and Laboratory Medicine, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Harry V Vinters
- Department of Pathology and Laboratory Medicine, University of California, Los Angeles, Los Angeles, CA, 90095, USA
- Department of Neurology, David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - William H Yong
- Department of Pathology & Laboratory Medicine, University of California, Irvine, CA, 92697, USA
| | - Edwin S Monuki
- Department of Pathology & Laboratory Medicine, University of California, Irvine, CA, 92697, USA
| | - Christopher K Williams
- Department of Pathology and Laboratory Medicine, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Alessandra C Martini
- Department of Pathology & Laboratory Medicine, University of California, Irvine, CA, 92697, USA
| | - Charles DeCarli
- Department of Neurology, School of Medicine, University of California-Davis, Davis, CA, 95817, USA
| | - Chris Khacherian
- Department of Pathology & Laboratory Medicine, University of California, Irvine, CA, 92697, USA
| | - John P Graff
- Department of Pathology and Laboratory Medicine, School of Medicine, University of California, Davis, Sacramento, CA, 95817, USA
| | - Brittany N Dugger
- Department of Pathology and Laboratory Medicine, School of Medicine, University of California, Davis, Sacramento, CA, 95817, USA.
| | - Michael J Keiser
- Institute for Neurodegenerative Diseases, University of California, San Francisco, San Francisco, CA, 94158, USA.
- Bakar Computational Health Sciences Institute, University of California, San Francisco, CA, 94158, USA.
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, 94158, USA.
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, 94158, USA.
- Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, CA, 94158, USA.
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17
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Chen C, Kumbhar R, Wang H, Yang X, Gadhave K, Rastegar C, Kimura Y, Behensky A, Katakam S, Jeong D, Wang L, Wang A, Chen R, Zhang S, Jin L, Workman CJ, Vignali DA, Pletinkova O, Nauen DW, Wong PC, Troncoso JC, Ying M, Dawson VL, Dawson TM, Mao X. Pathological Tau transmission initiated by binding lymphocyte-activation gene 3. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.05.16.541015. [PMID: 37293032 PMCID: PMC10245704 DOI: 10.1101/2023.05.16.541015] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
The spread of prion-like protein aggregates is believed to be a common driver of pathogenesis in many neurodegenerative diseases. Accumulated tangles of filamentous Tau protein are considered pathogenic lesions of Alzheimer's disease (AD) and related Tauopathies, including progressive supranuclear palsy, and corticobasal degeneration. Tau pathologies in these illnesses exhibits a clear progressive and hierarchical spreading pattern that correlates with disease severity1,2. Clinical observation combined with complementary experimental studies3,4 have shown that Tau preformed fibrils (PFF) are prion-like seeds that propagate pathology by entering cells and templating misfolding and aggregation of endogenous Tau. While several receptors of Tau are known, they are not specific to the fibrillar form of Tau. Moreover, the underlying cellular mechanisms of Tau PFF spreading remains poorly understood. Here, we show that the lymphocyte-activation gene 3 (Lag3) is a cell surface receptor that binds to PFF, but not monomer, of Tau. Deletion of Lag3 or inhibition of Lag3 in primary cortical neurons significantly reduces the internalization of Tau PFF and subsequent Tau propagation and neuron-to-neuron transmission. Propagation of Tau pathology and behavioral deficits induced by injection of Tau PFF in the hippocampus and overlying cortex are attenuated in mice lacking Lag3 selectively in neurons. Our results identify neuronal Lag3 as a receptor of pathologic Tau in the brain, and for AD and related Tauopathies a therapeutic target.
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Affiliation(s)
- Chan Chen
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Ramhari Kumbhar
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Hu Wang
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Xiuli Yang
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Kundlik Gadhave
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Cyrus Rastegar
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Yasuyoshi Kimura
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Adam Behensky
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Sruthi Katakam
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Deok Jeong
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Liang Wang
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Anthony Wang
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Rong Chen
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Shu Zhang
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Lingtao Jin
- Department of Molecular Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA
| | - Creg J. Workman
- Department of Immunology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA
| | - Dario A.A. Vignali
- Department of Immunology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA
- Tumor Microenvironment Center, UPMC Hillman Cancer Center, Pittsburgh, PA 15213, USA
- Cancer Immunology and Immunotherapy Program, UPMC Hillman Cancer Center, Pittsburgh, PA 15213
| | - Olga Pletinkova
- Department of Pathology, Division of Neuropathology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - David W. Nauen
- Department of Pathology, Division of Neuropathology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Philip C. Wong
- Department of Pathology, Division of Neuropathology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Juan C. Troncoso
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Pathology, Division of Neuropathology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Mingyao Ying
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Hugo W. Moser Research Institute at Kennedy Krieger, 707 North Broadway, Baltimore, MD 21205, USA
| | - Valina L. Dawson
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Adrienne Helis Malvin Medical Research Foundation, New Orleans, LA 70130-2685, USA
- Department of Physiology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Ted M. Dawson
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Physiology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Xiaobo Mao
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Institute for NanoBioTechnology, Johns Hopkins University, Baltimore, MD, USA
- Department of Materials Science and Engineering, Johns Hopkins University, Baltimore, MD, USA
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18
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Vogelgsang JS, Dan S, Lally AP, Chatigny M, Vempati S, Abston J, Durning PT, Oakley DH, McCoy TH, Klengel T, Berretta S. Dimensional clinical phenotyping using post-mortem brain donor medical records: Association with neuropathology. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.05.04.539430. [PMID: 37205494 PMCID: PMC10187289 DOI: 10.1101/2023.05.04.539430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
INTRODUCTION Transdiagnostic dimensional phenotypes are essential to investigate the relationship between continuous symptom dimensions and pathological changes. This is a fundamental challenge to postmortem work, as assessment of newly developed phenotypic concepts needs to rely on existing records. METHODS We adapted well-validated methodologies to compute NIMH research domain criteria (RDoC) scores using natural language processing (NLP) from electronic health records (EHRs) obtained from post-mortem brain donors and tested whether RDoC cognitive domain scores were associated with hallmark Alzheimer's disease (AD) neuropathological measures. RESULTS Our results confirm an association of EHR-derived cognitive scores with hallmark neuropathological findings. Notably, higher neuropathological load, particularly neuritic plaques, was associated with higher cognitive burden scores in the frontal (ß=0.38, p=0.0004), parietal (ß=0.35, p=0.0008), temporal (ß=0.37, p=0. 0004) and occipital (ß=0.37, p=0.0003) lobes. DISCUSSION This proof of concept study supports the validity of NLP-based methodologies to obtain quantitative measures of RDoC clinical domains from postmortem EHR.
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19
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Kotiya D, Leibold N, Verma N, Jicha GA, Goldstein LB, Despa F. Rapid, scalable assay of amylin-β amyloid co-aggregation in brain tissue and blood. J Biol Chem 2023; 299:104682. [PMID: 37030503 PMCID: PMC10192925 DOI: 10.1016/j.jbc.2023.104682] [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: 11/21/2022] [Revised: 03/30/2023] [Accepted: 04/01/2023] [Indexed: 04/10/2023] Open
Abstract
Islet amyloid polypeptide (amylin) secreted from the pancreas crosses from the blood to the brain parenchyma and forms cerebral mixed amylin-β amyloid (Aβ) plaques in persons with Alzheimer's disease (AD). Cerebral amylin-Aβ plaques are found in both sporadic and early-onset familial AD; however, the role of amylin-Aβ co-aggregation in potential mechanisms underlying this association remains unknown, in part due to lack of assays for detection of these complexes. Here, we report the development of an ELISA to detect amylin-Aβ hetero-oligomers in brain tissue and blood. The amylin-Aβ ELISA relies on a monoclonal anti-Aβ mid-domain antibody (detection) and a polyclonal anti-amylin antibody (capture) designed to recognize an epitope that is distinct from the high affinity amylin-Aβ binding sites. The utility of this assay is supported by the analysis of molecular amylin-Aβ codeposition in postmortem brain tissue obtained from persons with and without AD pathology. By using transgenic AD-model rats, we show that this new assay can detect circulating amylin-Aβ hetero-oligomers in the blood and is sensitive to their dissociation to monomers. This is important because therapeutic strategies to block amylin-Aβ co-aggregation could reduce or delay the development and progression of AD.
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Affiliation(s)
- Deepak Kotiya
- Department of Pharmacology and Nutritional Sciences, University of Kentucky, Lexington, Kentucky, USA; The Research Center for Healthy Metabolism, University of Kentucky, Lexington, Kentucky, USA
| | - Noah Leibold
- Department of Pharmacology and Nutritional Sciences, University of Kentucky, Lexington, Kentucky, USA; The Research Center for Healthy Metabolism, University of Kentucky, Lexington, Kentucky, USA
| | - Nirmal Verma
- Department of Pharmacology and Nutritional Sciences, University of Kentucky, Lexington, Kentucky, USA; The Research Center for Healthy Metabolism, University of Kentucky, Lexington, Kentucky, USA
| | - Gregory A Jicha
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky, USA; Department of Neurology, University of Kentucky, Lexington, Kentucky, USA
| | - Larry B Goldstein
- Department of Neurology, University of Kentucky, Lexington, Kentucky, USA
| | - Florin Despa
- Department of Pharmacology and Nutritional Sciences, University of Kentucky, Lexington, Kentucky, USA; The Research Center for Healthy Metabolism, University of Kentucky, Lexington, Kentucky, USA; Department of Neurology, University of Kentucky, Lexington, Kentucky, USA.
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20
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Whiteaker P, George AA. Discoveries and future significance of research into amyloid-beta/α7-containing nicotinic acetylcholine receptor (nAChR) interactions. Pharmacol Res 2023; 191:106743. [PMID: 37084859 DOI: 10.1016/j.phrs.2023.106743] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 03/13/2023] [Accepted: 03/21/2023] [Indexed: 04/23/2023]
Abstract
Initiated by findings that Alzheimer's disease is associated with a profound loss of cholinergic markers in human brain, decades of studies have examined the interactions between specific subtypes of nicotinic acetylcholine receptors and amyloid-β [derive from the amyloid precursor protein (APP), which is cleaved to yield variable isoforms of amyloid-β]. We review the evolving understanding of amyloid-β's roles in Alzheimer's disease and pioneering studies that highlighted a role of nicotinic acetylcholine receptors in mediating important aspects of amyloid-β's effects. This review also surveys the current state of research into amyloid-β / nicotinic acetylcholine receptor interactions. The field has reached an exciting point in which common themes are emerging from the wide range of prior research and a range of accessible, relevant model systems are available to drive further progress. We highlight exciting new areas of inquiry and persistent challenges that need to be considered while conducting this research. Studies of amyloid-β and nicotinic acetylcholine receptor populations that it interacts with provide opportunities for innovative basic and translational scientific breakthroughs related to nicotinic receptors biology, Alzheimer's disease, and cholinergic contributions to cognition more broadly.
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Affiliation(s)
- Paul Whiteaker
- Virginia Commonwealth University School of Medicine, Department of Pharmacology and Toxicology, VCU Health Sciences Research Building, Box 980613, Richmond, VA 23298-0613, USA
| | - Andrew A George
- Virginia Commonwealth University School of Medicine, Department of Pharmacology and Toxicology, VCU Health Sciences Research Building, Box 980613, Richmond, VA 23298-0613, USA.
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21
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Gibson LL, Grinberg LT, Ffytche D, Leite REP, Rodriguez RD, Ferretti-Rebustini REL, Pasqualucci CA, Nitrini R, Jacob-Filho W, Aarsland D, Suemoto CK. Neuropathological correlates of neuropsychiatric symptoms in dementia. Alzheimers Dement 2023; 19:1372-1382. [PMID: 36150075 PMCID: PMC10033459 DOI: 10.1002/alz.12765] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Revised: 06/23/2022] [Accepted: 07/08/2022] [Indexed: 02/05/2023]
Abstract
INTRODUCTION Neuropsychiatric symptoms (NPS) are common in Lewy body disease (LBD), but their etiology is poorly understood. METHODS In a population-based post mortem study neuropathological data was collected for Lewy body (LB) neuropathology, neurofibrillary tangles (NFT), amyloid beta burden, TDP-43, lacunar infarcts, cerebral amyloid angiopathy (CAA), and hyaline atherosclerosis. Post mortem interviews collected systematic information regarding NPS and cognitive status. A total of 1038 cases were included: no pathology (NP; n = 761), Alzheimer's disease (AD; n = 189), LBD (n = 60), and AD+LBD (n = 28). RESULTS Hallucinations were associated with higher LB Braak stages, while higher NFT Braak staging was associated with depression, agitation, and greater number of symptoms in the Neuropsychiatric Inventory. Cases with dual AD+LBD pathology had the highest risk of hallucinations, agitation, apathy, and total symptoms but a multiplicative interaction between these pathologies was not significant. DISCUSSION LB and AD pathology contribute differentially to NPS likely with an additive process contributing to the increased burden of NPS.
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Affiliation(s)
- Lucy L Gibson
- Old Age Psychiatry Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Lea T Grinberg
- Memory and Aging Center, Department of Neurology and Pathology, University of California San Francisco, San Francisco, California, USA
- University of São Paulo Medical School, São Paulo, Brazil
| | - Dominic Ffytche
- Old Age Psychiatry Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | | | | | | | | | | | | | - Dag Aarsland
- Old Age Psychiatry Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Centre for Age-Related Disease, Stavanger University Hospital, Stavanger, Norway
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22
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Wong DR, Magaki SD, Vinters HV, Yong WH, Monuki ES, Williams CK, Martini AC, DeCarli C, Khacherian C, Graff JP, Dugger BN, Keiser MJ. Learning fast and fine-grained detection of amyloid neuropathologies from coarse-grained expert labels. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.01.13.524019. [PMID: 36711704 PMCID: PMC9882138 DOI: 10.1101/2023.01.13.524019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Precise, scalable, and quantitative evaluation of whole slide images is crucial in neuropathology. We release a deep learning model for rapid object detection and precise information on the identification, locality, and counts of cored plaques and cerebral amyloid angiopathies (CAAs). We trained this object detector using a repurposed image-tile dataset without any human-drawn bounding boxes. We evaluated the detector on a new manually-annotated dataset of whole slide images (WSIs) from three institutions, four staining procedures, and four human experts. The detector matched the cohort of neuropathology experts, achieving 0.64 (model) vs. 0.64 (cohort) average precision (AP) for cored plaques and 0.75 vs. 0.51 AP for CAAs at a 0.5 IOU threshold. It provided count and locality predictions that correlated with gold-standard CERAD-like WSI scoring (p=0.07± 0.10). The openly-available model can quickly score WSIs in minutes without a GPU on a standard workstation.
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Affiliation(s)
- Daniel R. Wong
- Institute for Neurodegenerative Diseases, University of California, San Francisco, San Francisco, CA, 94158, USA
- Bakar Computational Health Sciences Institute, University of California, San Francisco, CA, 94158, USA
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, 94158, USA
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, 94158, USA
- Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, CA, 94158, USA
| | - Shino D. Magaki
- Department of Pathology and Laboratory Medicine, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Harry V. Vinters
- Department of Pathology and Laboratory Medicine, University of California, Los Angeles, Los Angeles, CA, 90095, USA
- Department of Neurology, David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - William H. Yong
- Department of Pathology & Laboratory Medicine, University of California, Irvine, CA 92697, USA
| | - Edwin S. Monuki
- Department of Pathology & Laboratory Medicine, University of California, Irvine, CA 92697, USA
| | - Christopher K. Williams
- Department of Pathology and Laboratory Medicine, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Alessandra C. Martini
- Department of Pathology & Laboratory Medicine, University of California, Irvine, CA 92697, USA
| | - Charles DeCarli
- Department of Neurology, School of Medicine, University of California-Davis, Davis, CA 95817, USA
| | - Chris Khacherian
- Department of Pathology & Laboratory Medicine, University of California, Irvine, CA 92697, USA
| | - John P. Graff
- Department of Pathology and Laboratory Medicine, School of Medicine, University of California, Davis, Sacramento, CA 95817, USA
| | - Brittany N. Dugger
- Department of Pathology and Laboratory Medicine, School of Medicine, University of California, Davis, Sacramento, CA 95817, USA
| | - Michael J. Keiser
- Institute for Neurodegenerative Diseases, University of California, San Francisco, San Francisco, CA, 94158, USA
- Bakar Computational Health Sciences Institute, University of California, San Francisco, CA, 94158, USA
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, 94158, USA
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, 94158, USA
- Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, CA, 94158, USA
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23
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Verma N, Velmurugan GV, Winford E, Coburn H, Kotiya D, Leibold N, Radulescu L, Despa S, Chen KC, Van Eldik LJ, Nelson PT, Wilcock DM, Jicha GA, Stowe AM, Goldstein LB, Powel DK, Walton JH, Navedo MF, Nystoriak MA, Murray AJ, Biessels GJ, Troakes C, Zetterberg H, Hardy J, Lashley T, Despa F. Aβ efflux impairment and inflammation linked to cerebrovascular accumulation of amyloid-forming amylin secreted from pancreas. Commun Biol 2023; 6:2. [PMID: 36596993 PMCID: PMC9810597 DOI: 10.1038/s42003-022-04398-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Accepted: 12/21/2022] [Indexed: 01/04/2023] Open
Abstract
Impairment of vascular pathways of cerebral β-amyloid (Aβ) elimination contributes to Alzheimer disease (AD). Vascular damage is commonly associated with diabetes. Here we show in human tissues and AD-model rats that bloodborne islet amyloid polypeptide (amylin) secreted from the pancreas perturbs cerebral Aβ clearance. Blood amylin concentrations are higher in AD than in cognitively unaffected persons. Amyloid-forming amylin accumulates in circulating monocytes and co-deposits with Aβ within the brain microvasculature, possibly involving inflammation. In rats, pancreatic expression of amyloid-forming human amylin indeed induces cerebrovascular inflammation and amylin-Aβ co-deposits. LRP1-mediated Aβ transport across the blood-brain barrier and Aβ clearance through interstitial fluid drainage along vascular walls are impaired, as indicated by Aβ deposition in perivascular spaces. At the molecular level, cerebrovascular amylin deposits alter immune and hypoxia-related brain gene expression. These converging data from humans and laboratory animals suggest that altering bloodborne amylin could potentially reduce cerebrovascular amylin deposits and Aβ pathology.
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Affiliation(s)
- Nirmal Verma
- Department of Pharmacology and Nutritional Sciences, University of Kentucky, Lexington, KY, USA
- The Research Center for Healthy Metabolism, University of Kentucky, Lexington, KY, USA
| | | | - Edric Winford
- Department of Pharmacology and Nutritional Sciences, University of Kentucky, Lexington, KY, USA
- Department of Neuroscience, University of Kentucky, Lexington, KY, USA
| | - Han Coburn
- Department of Pharmacology and Nutritional Sciences, University of Kentucky, Lexington, KY, USA
| | - Deepak Kotiya
- Department of Pharmacology and Nutritional Sciences, University of Kentucky, Lexington, KY, USA
- The Research Center for Healthy Metabolism, University of Kentucky, Lexington, KY, USA
| | - Noah Leibold
- Department of Pharmacology and Nutritional Sciences, University of Kentucky, Lexington, KY, USA
- The Research Center for Healthy Metabolism, University of Kentucky, Lexington, KY, USA
| | - Laura Radulescu
- Department of Pharmacology and Nutritional Sciences, University of Kentucky, Lexington, KY, USA
- The Research Center for Healthy Metabolism, University of Kentucky, Lexington, KY, USA
| | - Sanda Despa
- Department of Pharmacology and Nutritional Sciences, University of Kentucky, Lexington, KY, USA
- The Research Center for Healthy Metabolism, University of Kentucky, Lexington, KY, USA
| | - Kuey C Chen
- Department of Pharmacology and Nutritional Sciences, University of Kentucky, Lexington, KY, USA
- UKHC Genomics Laboratory, University of Kentucky, Lexington, KY, USA
| | - Linda J Van Eldik
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
| | - Peter T Nelson
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
| | - Donna M Wilcock
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
- Department of Physiology, University of Kentucky, Lexington, KY, USA
| | - Gregory A Jicha
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
- Department of Neurology, University of Kentucky, Lexington, KY, USA
| | - Ann M Stowe
- Department of Neurology, University of Kentucky, Lexington, KY, USA
| | | | - David K Powel
- Magnetic Resonance Imaging and Spectroscopy Center, University of Kentucky, Lexington, KY, USA
| | | | - Manuel F Navedo
- Department of Pharmacology, University of California, Davis, CA, USA
| | | | - Andrew J Murray
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, CB2 3EG, UK
| | - Geert Jan Biessels
- Department of Neurology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Claire Troakes
- Basic and Clinical Neuroscience Department, King's College London, London, UK
| | - 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, UCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, UK
- UK Dementia Research Institute at UCL and Department of Neurodegenerative Disease, UCL Institute of Neurology, University College London, London, UK
| | - John Hardy
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, UK
- UK Dementia Research Institute at UCL and Department of Neurodegenerative Disease, UCL Institute of Neurology, University College London, London, UK
- Reta Lila Weston Institute, UCL Queen Square Institute of Neurology, 1 Wakefield Street, London, WC1N 1PJ, UK
- UCL Movement Disorders Centre, University College London, London, UK
- Institute for Advanced Study, The Hong Kong University of Science and Technology, Hong Kong SAR, China
| | - Tammaryn Lashley
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, UK
- Queen Square Brain Bank for Neurological Disorders, Department of Clinical and Movement Neuroscience, UCL Queen Square Institute of Neurology, London, UK
| | - Florin Despa
- Department of Pharmacology and Nutritional Sciences, University of Kentucky, Lexington, KY, USA.
- The Research Center for Healthy Metabolism, University of Kentucky, Lexington, KY, USA.
- Department of Neuroscience, University of Kentucky, Lexington, KY, USA.
- Department of Neurology, University of Kentucky, Lexington, KY, USA.
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24
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Ahangari N, Fischer CE, Schweizer TA, Munoz DG. Cognitive resilience and severe Alzheimer's disease neuropathology. AGING BRAIN 2023; 3:100065. [PMID: 36911256 PMCID: PMC9997171 DOI: 10.1016/j.nbas.2023.100065] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 01/04/2023] [Accepted: 01/09/2023] [Indexed: 01/20/2023] Open
Abstract
Cognitive resilience in Alzheimer's disease (AD) can be defined as retention of high cognition despite presence of considerable cerebral AD lesions. We sought to identify factors associated with this phenomenon. Data were obtained from National Alzheimer's Coordinating Centre (NACC) dataset. Subjects with severe AD neuropathology, based on National Institute on Aging-Reagan (NIA-Reagan) criteria, no other primary neuropathology, and a ≤ 2-year interval between last follow-up and death were included. Mini-mental status examination score ≥ 24 was used as a proxy for normal cognition. In total, 654 cases were included; 59 (9%) were cognitively resilient. Multivariable logistic regression model showed that resilient participants were more educated, had a lower body mass index (BMI), were more likely to be lifetime/recent smoker or use an anticoagulant/antiplatelet agent, compared with cognitively impaired subjects. In addition to expected protective factors such as higher education and lower BMI, our results showed that smoking (especially recent smoking) and anticoagulant/antiplatelet consumption are associated with resilience to clinical cognitive expression of severe AD pathology. Pharmacological approaches using this information might be explored for clinical AD amelioration.
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Affiliation(s)
- Narges Ahangari
- Department of Laboratory Medicine and Pathobiology, University of Toronto, ON, Canada
| | - Corinne E. Fischer
- Keenan Research Centre for Biomedical Science, The Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Toronto, ON, Canada
- Department of Psychiatry, Faculty of Medicine, University of Toronto, ON, Canada
- Institute of Medical Sciences, University of Toronto, Toronto, ON, Canada
| | - Tom A. Schweizer
- Keenan Research Centre for Biomedical Science, The Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Toronto, ON, Canada
- Institute of Medical Sciences, University of Toronto, Toronto, ON, Canada
- Division of Neurosurgery, Faculty of Medicine, University of Toronto, ON, Canada
| | - David G. Munoz
- Division of Pathology, Department of Laboratory Medicine, St. Michael’s Hospital, Toronto, ON, Canada
- Keenan Research Centre for Biomedical Science, The Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Toronto, ON, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, ON, Canada
- Corresponding author at: Division of Pathology, Department of Laboratory Medicine, St. Michael’s Hospital, Toronto, ON M5B 1W8, Canada.
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25
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Di J, Nelson RS, Jicha GA, Moga DC, Barber JM, Cykowski MD, Fardo DW, Abner EL, Nelson PT. Urinary Incontinence in a Community-Based Autopsy Cohort Is Associated with Limbic Predominant Age-Related TDP-43 Encephalopathy Neuropathologic Changes. J Alzheimers Dis 2023; 94:333-346. [PMID: 37248909 PMCID: PMC10618953 DOI: 10.3233/jad-230425] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Abstract
BACKGROUND Dementia and urinary incontinence (UI) are etiologically complex clinical syndromes. Dementia and UI often occur in the same individuals, but underlying factors connecting them are incompletely understood. OBJECTIVE Query data from a community-based autopsy series to assess pathologies that underlie UI. METHODS Included research subjects came to autopsy from the University of Kentucky Alzheimer's Disease Research Center longitudinal cohort. A total of 368 research volunteers met inclusion criteria for this cross-sectional study. The average age at death was 85.3 years and the average number of annual clinic visits was 5.2 visits. Statistical models were run to evaluate which pathologies were associated with UI. Data included pathologies scored according to conventional stage-based systems, and these studies were complemented by quantitative digital neuropathology. RESULTS Dementia was diagnosed at the final clinical visit in 208 (56.7% of the sample) and UI was documented in 156 (42.7%). UI was associated with depression and dementia (both p < 0.001). More women than men had a history of UI (p < 0.04), and women with UI had had more biological children than those without UI (p < 0.005). Participants with limbic predominant age-related TDP-43 encephalopathy neuropathologic changes (LATE-NC) were more likely to have UI than those without LATE-NC (p < 0.001). The presence of LATE-NC (Stage > 1) was associated with UI with or without severe Alzheimer's disease neuropathologic changes and/or Lewy body pathology. CONCLUSION In this community-based autopsy cohort, multiple factors were associated with UI, but the neuropathologic change most robustly associated with UI was LATE-NC.
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Affiliation(s)
- Jing Di
- University of Kentucky Department of Pathology and Laboratory Medicine, Lexington, KY
| | | | - Gregory A. Jicha
- Sanders-Brown Center on Aging Lexington, KY
- Department of Neurology, Lexington, KY
| | - Daniela C. Moga
- Sanders-Brown Center on Aging Lexington, KY
- Department of Pharmacology, Lexington, KY
| | | | | | - David W. Fardo
- Sanders-Brown Center on Aging Lexington, KY
- Department of Biostatistics, Lexington, KY
| | - Erin L. Abner
- Sanders-Brown Center on Aging Lexington, KY
- College of Public Health, Lexington, KY
| | - Peter T. Nelson
- University of Kentucky Department of Pathology and Laboratory Medicine, Lexington, KY
- Sanders-Brown Center on Aging Lexington, KY
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26
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Gulmammadli N, Konukoğlu D, Merve Kurtuluş E, Tezen D, Ibrahim Erbay M, Bozluolçay M. Serum Sirtuin-1, HMGB1-TLR4, NF-KB and IL-6 levels in Alzheimer's: The Relation Between Neuroinflammatory Pathway and Severity of Dementia. Curr Alzheimer Res 2022; 19:CAR-EPUB-128443. [PMID: 36573053 DOI: 10.2174/1567205020666221226140721] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Revised: 11/03/2022] [Accepted: 11/18/2022] [Indexed: 12/28/2022]
Abstract
Alzheimer's disease (AD), which affects the world's aging population, is a progressive neurodegenerative disease requiring markers or tools to accurately and easily diagnose and monitor the process accurately and easily. OBJECTIVE In this study, serum Sirtuin-1(SIRT-1), High Mobility Group Box 1 (HMGB1), Toll-Like Receptor-4 (TLR4), Nuclear Factor Kappa B (NF-kB), Interleukine-6 (IL-6), Amyloid βeta-42 (Aβ-42), and p-tau181 levels in patients diagnosed with AD according to NINCS-ADRA criteria were studied. We investigated the inflammatory pathways that lead to progressive neuronal loss and highlight their possible relationship with dementia severity in the systemic circulation. METHODS Patients over 60 years of age were grouped according to their Standard Mini Mental Test results, MRI, and/or Fludeoxyglucose positron emission tomography or according to their CT findings as Control n:20; AD n:32; Vascular Dementia (VD) n:17; AD + VD; n=21. Complete blood count, Glucose, Vitamin B12, Folic Acid, Enzymes, Urea, Creatinine, Electrolytes, Bilirubin, and Thyroid Function tests were evaluated. ELISA was used for the analysis of serum SIRT1, HMGB1, TLR4, NF-kB, IL-6, Aβ-42, and p-tau181 levels. RESULTS Levels of serum Aβ-42, SIRT1, HMGB1, and IL-6 were significantly higher (p˂0.001, p<0.01, p<0.001, and p<0.001, respectively), and TLR4 levels were significantly lower (p˂0.001) in the dementia group than in the control group. No significant difference was observed between dementia and control groups for serum NF-kB and p-tau181 levels. CONCLUSION Our results show that the levels of the Aβ42, SIRT 1, HMGB1, and TLR4 pathways are altered in AD and VD. SIRT 1 activity plays an important role in the inflammatory pathway of dementia development, particularly in AD.
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Affiliation(s)
- Nazrin Gulmammadli
- Department of Biochemistry, Cerrahpaşa Faculty of Medicine, İstanbul University-Cerrahpaşa, İstanbul, Turkey
| | - Dildar Konukoğlu
- Department of Biochemistry, Cerrahpaşa Faculty of Medicine, İstanbul University-Cerrahpaşa, İstanbul, Turkey
| | - Eda Merve Kurtuluş
- Department of Nutrition and Dietetics, Faculty of Health Sciences, İstanbul Gelişim University, İstanbul, Turkey
| | - Didem Tezen
- Department of Neurology, Cerrahpaşa Faculty of Medicine, İstanbul University-Cerrahpaşa, İstanbul, Turkey
| | - Muhammed Ibrahim Erbay
- Department of Biochemistry, Cerrahpaşa Faculty of Medicine, İstanbul University-Cerrahpaşa, İstanbul, Turkey
| | - Melda Bozluolçay
- Department of Neurology, Cerrahpaşa Faculty of Medicine, İstanbul University-Cerrahpaşa, İstanbul, Turkey
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Wesenhagen KEJ, Tijms BM, Boonkamp L, Hoede PL, Goossens J, Dewit N, Scheltens P, Vanmechelen E, Visser PJ, Teunissen CE. P-tau subgroups in AD relate to distinct amyloid production and synaptic integrity profiles. Alzheimers Res Ther 2022; 14:95. [PMID: 35841015 PMCID: PMC9288016 DOI: 10.1186/s13195-022-01038-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 06/22/2022] [Indexed: 11/17/2022]
Abstract
Background We previously identified four Alzheimer’s disease (AD) subgroups with increasingly higher cerebrospinal fluid (CSF) levels of tau phosphorylated at threonine 181 (p-tau). These subgroups included individuals across the cognitive spectrum, suggesting p-tau subgroups could reflect distinct biological changes in AD, rather than disease severity. Therefore, in the current study, we further investigated which potential processes may be related with p-tau subgroups, by comparing individuals on CSF markers for presynaptic structure [vesicle-associated membrane protein 2 (VAMP2)], postsynaptic structure [neurogranin (NRGN)], axonal damage [neurofilament light (NfL)], and amyloid production [beta-secretase 1 (BACE1) and amyloid-beta 1–40 (Aβ40)]. Methods We selected 348 amyloid-positive (A+) individuals (53 preclinical, 102 prodromal, 193 AD dementia) and 112 amyloid-negative (A−) cognitively normal (CN) individuals from the Amsterdam Dementia Cohort (ADC). Individuals were labeled according to their p-tau subgroup (subgroup 1: p-tau ≤ 56 pg/ml; subgroup 2: 57–96 pg/ml; subgroup 3: 97–159 pg/ml; subgroup 4: > 159 pg/ml). CSF protein levels were measured with ELISA (NRGN, BACE1, Aβ40, NfL) or single-molecule array (Simoa) (VAMP2). We tested whether protein levels differed between the p-tau subgroups within A+ individuals with linear models corrected for age and sex and whether disease stage influenced these relationships. Results Among A+ individuals, higher p-tau subgroups showed a higher percentage of AD dementia [subgroup 1: n = 41/94 (44%); subgroup 2: n = 81/147 (55%); subgroup 3: n = 59/89 (66%); subgroup 4: n = 7/11 (64%)]. Relative to controls, subgroup 1 showed reduced CSF levels of BACE1, Aβ40, and VAMP2 and higher levels of NfL. Subgroups 2 to 4 showed gradually increased CSF levels of all measured proteins, either across the first three (NfL and Aβ40) or across all subgroups (VAMP2, NRGN, BACE1). The associations did not depend on the clinical stage (interaction p-values ranging between 0.19 and 0.87). Conclusions The results suggest that biological heterogeneity in p-tau levels in AD is related to amyloid metabolism and synaptic integrity independent of clinical stage. Biomarkers reflecting amyloid metabolism and synaptic integrity may be useful outcome measures in clinical trials targeting tau pathology.
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Katsumata Y, Shade LM, Hohman TJ, Schneider JA, Bennett DA, Farfel JM, Kukull WA, Fardo DW, Nelson PT. Multiple gene variants linked to Alzheimer's-type clinical dementia via GWAS are also associated with non-Alzheimer's neuropathologic entities. Neurobiol Dis 2022; 174:105880. [PMID: 36191742 PMCID: PMC9641973 DOI: 10.1016/j.nbd.2022.105880] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Revised: 09/27/2022] [Accepted: 09/29/2022] [Indexed: 11/26/2022] Open
Abstract
The classic pathologic hallmarks of Alzheimer's disease (AD) are amyloid plaques and neurofibrillary tangles (AD neuropathologic changes, or ADNC). However, brains from individuals clinically diagnosed with "AD-type" (amnestic) dementia usually harbor heterogeneous neuropathologies in addition to, or other than, ADNC. We hypothesized that some AD-type dementia associated genetic single nucleotide variants (SNVs) identified from large genomewide association studies (GWAS) were associated with non-ADNC neuropathologies. To test this hypothesis, we analyzed data from multiple studies with available genotype and neuropathologic phenotype information. Clinical AD/dementia risk alleles of interest were derived from the very large GWAS by Bellenguez et al. (2022) who reported 83 clinical AD/dementia-linked SNVs in addition to the APOE risk alleles. To query the pathologic phenotypes associated with variation of those SNVs, National Alzheimer's disease Coordinating Center (NACC) neuropathologic data were linked to AD Sequencing Project (ADSP) and AD Genomics Consortium (ADGC) data. Separate data were obtained from the harmonized Religious Orders Study and the Rush Memory and Aging Project (ROSMAP). A total of 4811 European participants had at least ADNC neuropathology data and also genotype data available; data were meta-analyzed across cohorts. As expected, a subset of dementia-associated SNVs were associated with ADNC risk in Europeans-e.g., BIN1, PICALM, CR1, MME, and COX7C. Other gene variants linked to (clinical) AD dementia were associated with non-ADNC pathologies. For example, the associations of GRN and TMEM106B SNVs with limbic-predominant age-related TDP-43 neuropathologic changes (LATE-NC) were replicated. In addition, SNVs in TNIP1 and WNT3 previously reported as AD-related were instead associated with hippocampal sclerosis pathology. Some genotype/neuropathology association trends were not statistically significant at P < 0.05 after correcting for multiple testing, but were intriguing. For example, variants in SORL1 and TPCN1 showed trends for association with LATE-NC whereas Lewy body pathology trended toward association with USP6NL and BIN1 gene variants. A smaller cohort of non-European subjects (n = 273, approximately one-half of whom were African-Americans) provided the basis for additional exploratory analyses. Overall, these findings were consistent with the hypothesis that some genetic variants linked to AD dementia risk exert their affect by influencing non-ADNC neuropathologies.
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Affiliation(s)
- Yuriko Katsumata
- Department of Biostatistics, University of Kentucky, Lexington, KY, USA; Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
| | - Lincoln M Shade
- Department of Biostatistics, University of Kentucky, Lexington, KY, USA
| | - Timothy J Hohman
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Julie A Schneider
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA; Department of Pathology, Rush University Medical Center, Chicago, IL, USA; Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - David A Bennett
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA; Department of Pathology, Rush University Medical Center, Chicago, IL, USA; Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Jose M Farfel
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA; Department of Pathology, Rush University Medical Center, Chicago, IL, USA; Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Walter A Kukull
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - David W Fardo
- Department of Biostatistics, University of Kentucky, Lexington, KY, USA; Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
| | - Peter T Nelson
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA; Department of Pathology, University of Kentucky, Lexington, KY 40536, USA.
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29
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Marx GA, Koenigsberg DG, McKenzie AT, Kauffman J, Hanson RW, Whitney K, Signaevsky M, Prastawa M, Iida MA, White CL, Walker JM, Richardson TE, Koll J, Fernandez G, Zeineh J, Cordon-Cardo C, Crary JF, Farrell K. Artificial intelligence-derived neurofibrillary tangle burden is associated with antemortem cognitive impairment. Acta Neuropathol Commun 2022; 10:157. [PMID: 36316708 PMCID: PMC9620665 DOI: 10.1186/s40478-022-01457-x] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Accepted: 10/06/2022] [Indexed: 11/10/2022] Open
Abstract
Tauopathies are a category of neurodegenerative diseases characterized by the presence of abnormal tau protein-containing neurofibrillary tangles (NFTs). NFTs are universally observed in aging, occurring with or without the concomitant accumulation of amyloid-beta peptide (Aβ) in plaques that typifies Alzheimer disease (AD), the most common tauopathy. Primary age-related tauopathy (PART) is an Aβ-independent process that affects the medial temporal lobe in both cognitively normal and impaired subjects. Determinants of symptomology in subjects with PART are poorly understood and require clinicopathologic correlation; however, classical approaches to staging tau pathology have limited quantitative reproducibility. As such, there is a critical need for unbiased methods to quantitatively analyze tau pathology on the histological level. Artificial intelligence (AI)-based convolutional neural networks (CNNs) generate highly accurate and precise computer vision assessments of digitized pathology slides, yielding novel histology metrics at scale. Here, we performed a retrospective autopsy study of a large cohort (n = 706) of human post-mortem brain tissues from normal and cognitively impaired elderly individuals with mild or no Aβ plaques (average age of death of 83.1 yr, range 55-110). We utilized a CNN trained to segment NFTs on hippocampus sections immunohistochemically stained with antisera recognizing abnormal hyperphosphorylated tau (p-tau), which yielded metrics of regional NFT counts, NFT positive pixel density, as well as a novel graph-theory based metric measuring the spatial distribution of NFTs. We found that several AI-derived NFT metrics significantly predicted the presence of cognitive impairment in both the hippocampus proper and entorhinal cortex (p < 0.0001). When controlling for age, AI-derived NFT counts still significantly predicted the presence of cognitive impairment (p = 0.04 in the entorhinal cortex; p = 0.04 overall). In contrast, Braak stage did not predict cognitive impairment in either age-adjusted or unadjusted models. These findings support the hypothesis that NFT burden correlates with cognitive impairment in PART. Furthermore, our analysis strongly suggests that AI-derived metrics of tau pathology provide a powerful tool that can deepen our understanding of the role of neurofibrillary degeneration in cognitive impairment.
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Affiliation(s)
- Gabriel A Marx
- Department of Pathology, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY, 10029, USA
- Department of Artificial Intelligence and Human Health, Nash Family Department of Neuroscience, Ronald M. Loeb Center for Alzheimer's Disease, Friedman Brain Institute, Neuropathology Brain Bank and Research CoRE, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, Box 1194, New York, NY, 10029, USA
| | - Daniel G Koenigsberg
- Department of Pathology, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY, 10029, USA
- Department of Artificial Intelligence and Human Health, Nash Family Department of Neuroscience, Ronald M. Loeb Center for Alzheimer's Disease, Friedman Brain Institute, Neuropathology Brain Bank and Research CoRE, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, Box 1194, New York, NY, 10029, USA
| | - Andrew T McKenzie
- Department of Pathology, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY, 10029, USA
- Department of Artificial Intelligence and Human Health, Nash Family Department of Neuroscience, Ronald M. Loeb Center for Alzheimer's Disease, Friedman Brain Institute, Neuropathology Brain Bank and Research CoRE, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, Box 1194, New York, NY, 10029, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Justin Kauffman
- Department of Pathology, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY, 10029, USA
- Department of Artificial Intelligence and Human Health, Nash Family Department of Neuroscience, Ronald M. Loeb Center for Alzheimer's Disease, Friedman Brain Institute, Neuropathology Brain Bank and Research CoRE, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, Box 1194, New York, NY, 10029, USA
| | - Russell W Hanson
- New York University McSilver Institute for Poverty Policy and Research, New York, NY, USA
| | - Kristen Whitney
- Department of Pathology, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY, 10029, USA
- Department of Artificial Intelligence and Human Health, Nash Family Department of Neuroscience, Ronald M. Loeb Center for Alzheimer's Disease, Friedman Brain Institute, Neuropathology Brain Bank and Research CoRE, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, Box 1194, New York, NY, 10029, USA
| | - Maxim Signaevsky
- Department of Pathology, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY, 10029, USA
- Center for Computational and Systems Pathology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Marcel Prastawa
- Department of Pathology, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY, 10029, USA
- Center for Computational and Systems Pathology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Megan A Iida
- Department of Pathology, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY, 10029, USA
- Department of Artificial Intelligence and Human Health, Nash Family Department of Neuroscience, Ronald M. Loeb Center for Alzheimer's Disease, Friedman Brain Institute, Neuropathology Brain Bank and Research CoRE, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, Box 1194, New York, NY, 10029, USA
| | - Charles L White
- Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Jamie M Walker
- Department of Pathology, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY, 10029, USA
| | - Timothy E Richardson
- Department of Pathology, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY, 10029, USA
| | - John Koll
- Department of Pathology, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY, 10029, USA
- Center for Computational and Systems Pathology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Gerardo Fernandez
- Department of Pathology, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY, 10029, USA
- Center for Computational and Systems Pathology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jack Zeineh
- Department of Pathology, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY, 10029, USA
- Center for Computational and Systems Pathology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Carlos Cordon-Cardo
- Department of Pathology, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY, 10029, USA
- Center for Computational and Systems Pathology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - John F Crary
- Department of Pathology, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY, 10029, USA.
- Department of Artificial Intelligence and Human Health, Nash Family Department of Neuroscience, Ronald M. Loeb Center for Alzheimer's Disease, Friedman Brain Institute, Neuropathology Brain Bank and Research CoRE, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, Box 1194, New York, NY, 10029, USA.
| | - Kurt Farrell
- Department of Pathology, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY, 10029, USA.
- Department of Artificial Intelligence and Human Health, Nash Family Department of Neuroscience, Ronald M. Loeb Center for Alzheimer's Disease, Friedman Brain Institute, Neuropathology Brain Bank and Research CoRE, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, Box 1194, New York, NY, 10029, USA.
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Schulz JA, Rodgers LT, Kryscio RJ, Hartz AMS, Bauer B. Characterization and comparison of human glioblastoma models. BMC Cancer 2022; 22:844. [PMID: 35922758 PMCID: PMC9347152 DOI: 10.1186/s12885-022-09910-9] [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: 08/16/2021] [Accepted: 07/06/2022] [Indexed: 11/10/2022] Open
Abstract
Glioblastoma (GBM) is one of the deadliest cancers. Treatment options are limited, and median patient survival is only several months. Translation of new therapies is hindered by a lack of GBM models that fully recapitulate disease heterogeneity. Here, we characterize two human GBM models (U87-luc2, U251-RedFLuc). In vitro, both cell lines express similar levels of luciferase and show comparable sensitivity to temozolomide and lapatinib exposure. In vivo, however, the two GBM models recapitulate different aspects of the disease. U87-luc2 cells quickly grow into large, well-demarcated tumors; U251-RedFLuc cells form small, highly invasive tumors. Using a new method to assess GBM invasiveness based on detecting tumor-specific anti-luciferase staining in brain slices, we found that U251-RedFLuc cells are more invasive than U87-luc2 cells. Lastly, we determined expression levels of ABC transporters in both models. Our findings indicate that U87-luc2 and U251-RedFLuc GBM models recapitulate different aspects of GBM heterogeneity that need to be considered in preclinical research.
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Affiliation(s)
- Julia A Schulz
- Department of Pharmaceutical Sciences, College of Pharmacy University of Kentucky, Lexington, KY, USA
| | - Louis T Rodgers
- Department of Pharmaceutical Sciences, College of Pharmacy University of Kentucky, Lexington, KY, USA
| | - Richard J Kryscio
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, USA
- Statistics, College of Arts and Sciences, University of Kentucky, Lexington, KY, USA
| | - Anika M S Hartz
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, USA
- Pharmacology and Nutritional Sciences, College of Medicine, University of Kentucky, Lexington, USA
| | - Björn Bauer
- Department of Pharmaceutical Sciences, College of Pharmacy University of Kentucky, Lexington, KY, USA.
- Drug Discovery, Delivery and Translational Therapeutics Track, Markey Cancer Center, College of Medicine, University of Kentucky, Lexington, USA.
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31
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Karanth SD, Katsumata Y, Nelson PT, Fardo DW, McDowell JK, Schmitt FA, Kryscio RJ, Browning SR, Braithwaite D, Arnold SM, Abner EL. Cancer diagnosis is associated with a lower burden of dementia and less Alzheimer's-type neuropathology. Brain 2022; 145:2518-2527. [PMID: 35094057 PMCID: PMC9612796 DOI: 10.1093/brain/awac035] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Revised: 12/15/2021] [Accepted: 12/20/2021] [Indexed: 02/01/2023] Open
Abstract
Cancer and Alzheimer's disease are common diseases in ageing populations. Previous research has reported a lower incidence of Alzheimer's disease-type (amnestic) dementia among individuals with a diagnosis of cancer. Both cancer and amnestic dementia are prevalent and potentially lethal clinical syndromes. The current study was conducted to investigate the association of cancer diagnosis with neuropathological and cognitive features of dementia. Data were analysed from longitudinally evaluated participants in a community-based cohort study of brain ageing who came to autopsy at the University of Kentucky Alzheimer's Disease Research Center. These data were linked to the Kentucky Cancer Registry, a population-based state cancer surveillance system, to obtain cancer-related data. We examined the relationship between cancer diagnosis, clinical dementia diagnosis, Mini-Mental State Examination scores and neuropathological features using inverse probability weighting to address bias due to confounding and missing data. To address bias due to inclusion of participants with dementia at cohort baseline, we repeated all analyses restricted to the participants who were cognitively normal at baseline. Included participants (n = 785) had a mean ± standard deviation age of death of 83.8 ± 8.6 years; 60.1% were female. Cancer diagnosis was determined in 190 (24.2%) participants, and a diagnosis of mild cognitive impairment or dementia was determined in 539 (68.7%). APOE ɛ4 allele dosage was lower among participants with cancer diagnosis compared to cancer-free participants overall (P = 0.0072); however, this association was not observed among those who were cognitively normal at baseline. Participants with cancer diagnosis had lower odds of mild cognitive impairment or dementia, and higher cognitive test scores (e.g. Mini-Mental State Examination scores evaluated 6 and ≤2 years ante-mortem, P < 0.001 for both comparisons). Cancer diagnosis also associated with lower odds of higher Braak neurofibrillary tangle stages (III/IV) or (V/VI), moderate/frequent neuritic plaques, moderate/frequent diffuse plaques and moderate/severe cerebral amyloid angiopathy (all P < 0.05). By contrast, TDP-43, α-synuclein and cerebrovascular pathologies were not associated with cancer diagnosis. Cancer diagnosis was associated with a lower burden of Alzheimer's disease pathology and less cognitive impairment. These findings from a community-based cohort with neuropathological confirmation of substrates support the hypothesis that there is an inverse relationship between cancer and Alzheimer's disease.
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Affiliation(s)
- Shama D Karanth
- Aging and Geriatric Research, University of Florida, Gainesville, FL 32610, USA
- Cancer Control and Population Sciences Program, University of Florida, Gainesville, FL 32610, USA
| | - Yuriko Katsumata
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY 40536, USA
- Department of Biostatistics, University of Kentucky, Lexington, KY 40536, USA
| | - Peter T Nelson
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY 40536, USA
- Department of Pathology, University of Kentucky, Lexington, KY 40536, USA
| | - David W Fardo
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY 40536, USA
- Department of Biostatistics, University of Kentucky, Lexington, KY 40536, USA
| | - Jaclyn K McDowell
- Department of Epidemiology, University of Kentucky, Lexington, KY 40536, USA
- Markey Cancer Control Program, Kentucky Cancer Registry, Lexington, KY 40504, USA
| | - Frederick A Schmitt
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY 40536, USA
- Department of Neurology, University of Kentucky, Lexington, KY 40536, USA
| | - Richard J Kryscio
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY 40536, USA
- Department of Biostatistics, University of Kentucky, Lexington, KY 40536, USA
- Department of Statistics, University of Kentucky, Lexington, KY 40536, USA
| | - Steven R Browning
- Department of Epidemiology, University of Kentucky, Lexington, KY 40536, USA
| | - Dejana Braithwaite
- Aging and Geriatric Research, University of Florida, Gainesville, FL 32610, USA
- Cancer Control and Population Sciences Program, University of Florida, Gainesville, FL 32610, USA
- Department of Population Sciences, University of Florida, Gainesville, FL 32610, USA
| | - Susanne M Arnold
- Markey Cancer Control Program, Kentucky Cancer Registry, Lexington, KY 40504, USA
- Department of Internal Medicine, University of Kentucky, Lexington, KY 40536, USA
| | - Erin L Abner
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY 40536, USA
- Department of Biostatistics, University of Kentucky, Lexington, KY 40536, USA
- Department of Epidemiology, University of Kentucky, Lexington, KY 40536, USA
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32
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Sanford SAI, McEwan WA. Type-I Interferons in Alzheimer's Disease and Other Tauopathies. Front Cell Neurosci 2022; 16:949340. [PMID: 35910253 PMCID: PMC9334774 DOI: 10.3389/fncel.2022.949340] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Accepted: 06/16/2022] [Indexed: 11/13/2022] Open
Abstract
The detection of pathogen-associated molecular patterns can elicit the production of type-I interferons (IFNs), soluble cytokines that induce a transcriptional state inhibitory to viral replication. Signatures of type-I IFN-driven gene expression, and type-I IFNs themselves, are observed in the central nervous system during neurodegenerative diseases including Alzheimer's disease and other tauopathies, the umbrella term for diseases that feature aggregation of the cytosolic protein tau. The contribution of the type-I IFN response to pathological progression of these diseases, however, is not well-understood. The wholesale transcriptional changes that ensue from type-I IFN production can both promote protective effects and lead to damage dependent on the context and duration of the response. The type-I IFN system therefore represents a signaling pathway with a potential disease-modifying role in the progression of neurodegenerative disease. In this review we summarize the evidence for a type-I IFN signature in AD and other tauopathies and examine the role of aggregated proteins as inflammatory stimuli. We explore both the protective role of IFN against protein pathologies as well as their downstream toxic consequences, which include the exacerbation of protein pathology as a potentially destructive feed-forward loop. Given the involvement of type-I IFNs in other neurogenerative diseases, we draw comparisons with other categories of homotypic protein aggregation. Understanding how type-I IFN influences progression of AD and other tauopathies may yield important insight to neurodegeneration and identify new targets in an area currently lacking disease-modifying therapies.
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Affiliation(s)
- Sophie A. I. Sanford
- Department of Clinical Neurosciences at the University of Cambridge, Cambridge, United Kingdom
- UK Dementia Research Institute at the University of Cambridge, Cambridge, United Kingdom
- *Correspondence: Sophie A. I. Sanford
| | - William A. McEwan
- Department of Clinical Neurosciences at the University of Cambridge, Cambridge, United Kingdom
- UK Dementia Research Institute at the University of Cambridge, Cambridge, United Kingdom
- William A. McEwan
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Incremental diagnostic value of 18F-Fluetemetamol PET in differential diagnoses of Alzheimer's Disease-related neurodegenerative diseases from an unselected memory clinic cohort. Sci Rep 2022; 12:10385. [PMID: 35725910 PMCID: PMC9209498 DOI: 10.1038/s41598-022-14532-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Accepted: 06/08/2022] [Indexed: 11/08/2022] Open
Abstract
To evaluate the incremental diagnostic value of 18F-Flutemetamol PET following MRI measurements on an unselected prospective cohort collected from a memory clinic. A total of 84 participants was included in this study. A stepwise study design was performed including initial analysis (based on clinical assessments), interim analysis (revision of initial analysis post-MRI) and final analysis (revision of interim analysis post-18F-Flutemetamol PET). At each time of evaluation, every participant was categorized into SCD, MCI or dementia syndromal group and further into AD-related, non-AD related or non-specific type etiological subgroup. Post 18F-Flutemetamol PET, the significant changes were seen in the syndromal MCI group (57%, p < 0.001) involving the following etiological subgroups: AD-related MCI (57%, p < 0.01) and non-specific MCI (100%, p < 0.0001); and syndromal dementia group (61%, p < 0.0001) consisting of non-specific dementia subgroup (100%, p < 0.0001). In the binary regression model, amyloid status significantly influenced the diagnostic results of interim analysis (p < 0.01). 18F-Flutemetamol PET can have incremental value following MRI measurements, particularly reflected in the change of diagnosis of individuals with unclear etiology and AD-related-suspected patients due to the role in complementing AD-related pathological information.
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Tag SH, Kim B, Bae J, Chang KA, Im HI. Neuropathological and behavioral features of an APP/PS1/MAPT (6xTg) transgenic model of Alzheimer’s disease. Mol Brain 2022; 15:51. [PMID: 35676711 PMCID: PMC9175339 DOI: 10.1186/s13041-022-00933-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Accepted: 05/14/2022] [Indexed: 11/30/2022] Open
Abstract
Alzheimer's disease is associated with various brain dysfunctions, including memory impairment, neuronal loss, astrocyte activation, amyloid-β plaques, and neurofibrillary tangles. Transgenic animal models of Alzheimer's disease have proven to be invaluable for the basic research of Alzheimer's disease. However, Alzheimer's disease mouse models developed so far do not fully recapitulate the pathological and behavioral features reminiscent of Alzheimer's disease in humans. Here, we investigated the neurobehavioral sequelae in the novel 6xTg mouse model of Alzheimer's disease, which was developed by incorporating human tau containing P301L mutation in the widely used 5xFAD mouse model of Alzheimer's disease. At 11-months-old, 6xTg mice displayed the core pathological processes found in Alzheimer's disease, including accumulation of amyloid-β plaque, extensive neuronal loss, elevated level of astrocyte activation, and abnormal tau phosphorylation in the brain. At 9 to 11-months-old, 6xTg mice exhibited both cognitive and non-cognitive behavioral impairments relevant to Alzheimer’s disease, including memory loss, hyperlocomotion, anxiety-like behavior, depression-like behavior, and reduced sensorimotor gating. Our data suggest that the aged 6xTg mouse model of Alzheimer's disease presents pathological and cognitive-behavioral features reminiscent of Alzheimer's disease in humans. Thus, the 6xTg mouse model of Alzheimer's disease may be a valuable model for studying Alzheimer’s disease-relevant non-cognitive behaviors.
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Ashford JW, Schmitt FA, Bergeron MF, Bayley PJ, Clifford JO, Xu Q, Liu X, Zhou X, Kumar V, Buschke H, Dean M, Finkel SI, Hyer L, Perry G. Now is the Time to Improve Cognitive Screening and Assessment for Clinical and Research Advancement. J Alzheimers Dis 2022; 87:305-315. [DOI: 10.3233/jad-220211] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Alzheimer’s disease (AD) is the only cause of death ranked in the top ten globally without precise early diagnosis or effective means of prevention or treatment. Further, AD was identified as a pandemic [1] well before COVID-19 was dubbed a 21st century pandemic [2]. And now, with the realization of the prominent secondary impacts of pandemics, there is a growing, widespread recognition of the tremendous magnitude of the impending burden from AD in an aging world population in the coming decades [3]. This appreciation has amplified the growing and pressing need for a new, efficacious, and practical platform to detect and track cognitive decline, beginning in the preliminary (prodromal) phases of the disease, sensitively, accurately, effectively, reliably, efficiently, and remotely [4–7]. Moreover, the parallel necessity of clarifying and understanding risk factors, developing successful prevention strategies [8–17], and discovering and monitoring viable and effective treatments could all benefit from accurate and efficient screening and assessment platforms. Modern recognition of AD [18] as a common affliction of the elderly began in 1968 with a paper by Blessed, Tomlinson, & Roth [19] in which two tests, one a brief assessment of cognitive function and the other a measure of daily function, demonstrated impairment which was associated with the postmortem counts of neurofibrillary tangles, composed mainly of microtubule-associated protein-tau (tau), in the brain, though not to senile plaques, composed mainly of amyloid-β (Aβ). Even in more recent analyses, the tangles correspond with the severity of dementia more than the plaques [20, 21]. Since 1960, a plethora of cognitive tests, paper and pencil [22, 23], simple screening models [24], and computerized [25–27], have been developed to assess the dysfunction associated with AD. However, there has been limited application of Modern Test Theory, which includes Item Characteristic Curve Analysis, used in the technological development of such tools [28–31], along with widespread failure to understand the underlying AD pathological process to guide test development [32, 33]. The lack of such development has likely been a major contributor to the failure of the field to develop timely screening approaches for AD [34, 35], inaccurate assessment of the progression of AD [36], and even now, failure to find an effective approach to stopping AD.
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Affiliation(s)
- J. Wesson Ashford
- War Related Illness and Injury Study Center, VA Palo Alto HCS, Palo Alto, CA, USA
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
- Medical, Scientific, Memory Screening Advisory Board, Alzheimer’s Foundation of American (AFA), New York, USA
| | - Frederick A. Schmitt
- Medical, Scientific, Memory Screening Advisory Board, Alzheimer’s Foundation of American (AFA), New York, USA
- Departments of Neurology, Psychiatry, Neurosurgery, Psychology, Behavioral Science; Sanders-Brown Center on Aging, Spinal Cord & Brain Injury Research Center, University of Kentucky, Sanders-Brown Center on Aging, Lexington, KY, USA
| | | | - Peter J. Bayley
- War Related Illness and Injury Study Center, VA Palo Alto HCS, Palo Alto, CA, USA
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
- Medical, Scientific, Memory Screening Advisory Board, Alzheimer’s Foundation of American (AFA), New York, USA
| | | | - Qun Xu
- Health Management Center, Department of Neurology, Renji Hospital of Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaolei Liu
- Department of Neurology, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
- Yunnan Provincial Clinical Research Center for Neurological Diseases, Yunnan, China
| | - Xianbo Zhou
- Center for Alzheimer’s Research, Washington Institute of Clinical Research, Vienna, VA, USA
- Zhongze Therapeutics, Shanghai, China
| | | | - Herman Buschke
- Medical, Scientific, Memory Screening Advisory Board, Alzheimer’s Foundation of American (AFA), New York, USA
- The Saul R. Korey Department of Neurology and Dominick P. Purpura Department of Neuroscience, Lena and Joseph Gluck Distinguished Scholar in Neurology, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Margaret Dean
- Medical, Scientific, Memory Screening Advisory Board, Alzheimer’s Foundation of American (AFA), New York, USA
- Geriatric Division, Internal Medicine, Texas Tech Health Sciences Center, Amarillo, TX, USA
| | - Sanford I. Finkel
- Medical, Scientific, Memory Screening Advisory Board, Alzheimer’s Foundation of American (AFA), New York, USA
- University of Chicago Medical School, Chicago, IL, USA
| | - Lee Hyer
- Medical, Scientific, Memory Screening Advisory Board, Alzheimer’s Foundation of American (AFA), New York, USA
- Gateway Behavioral Health, Mercer University, School of Medicine, Savannah, GA, USA
| | - George Perry
- Medical, Scientific, Memory Screening Advisory Board, Alzheimer’s Foundation of American (AFA), New York, USA
- Brain Health Consortium, Department Biology and Chemistry, University of Texas at San Antonio, San Antonio, TX, USA
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Yang B, He M, Chen X, Sun M, Pan T, Xu X, Zhang X, Gong Q, Zhao Y, Jin Z, Cheng Z. Acupuncture Effect Assessment in APP/PS1 Transgenic Mice: On Regulating Learning-Memory Abilities, Gut Microbiota, and Microbial Metabolites. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2022; 2022:1527159. [PMID: 35432583 PMCID: PMC9012623 DOI: 10.1155/2022/1527159] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Accepted: 03/02/2022] [Indexed: 12/12/2022]
Abstract
Alzheimer's disease (AD) is a brain illness that affects learning and memory capacities over time. In recent investigations, acupuncture has been shown to be an effective alternative treatment for AD. We investigated the effect of acupuncture on learning and memory abilities using a water maze in APP/PS1 transgenic mice. The amounts of Aβ and tau protein in mice's hippocampal tissue were determined using Western blot. The levels of IL-1β, IL-10, LPS and TNF-α in mice's serum were measured using ELISA. The variations of gut microbiota in mice's feces were determined using the 16SrDNA technique, and the metabolites were examined using a untargeted metabolomics methodology. The results showed that acupuncture treatment improved mice's learning and memory abilities substantially. Acupuncture therapy regulated the Aβ and tau protein concentration as well as the levels of IL-10 and LPS. Acupuncture treatment influenced the mouse microbiota and metabolites and had been linked to six biochemical pathways. This study adds to our understanding of the effect of acupuncture on AD and opens the door to further research into the alterations of intestinal bacteria in the presence of AD.
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Affiliation(s)
- Bo Yang
- Liaoning University of Traditional Chinese Medicine, No. 79, Chongshan Eastern Rd, Huanggu District, 110847 Shenyang, China
- Changchun University of Chinese Medicine, No. 1035, Boshuo Rd, Jingyue Economic Development District, 130117 Changchun, China
| | - Min He
- Changchun University of Chinese Medicine, No. 1035, Boshuo Rd, Jingyue Economic Development District, 130117 Changchun, China
| | - Xinhua Chen
- Changchun University of Chinese Medicine, No. 1035, Boshuo Rd, Jingyue Economic Development District, 130117 Changchun, China
| | - Mengmeng Sun
- Changchun University of Chinese Medicine, No. 1035, Boshuo Rd, Jingyue Economic Development District, 130117 Changchun, China
| | - Ting Pan
- Changchun University of Chinese Medicine, No. 1035, Boshuo Rd, Jingyue Economic Development District, 130117 Changchun, China
| | - Xiaohong Xu
- Changchun University of Chinese Medicine, No. 1035, Boshuo Rd, Jingyue Economic Development District, 130117 Changchun, China
| | - Xuesong Zhang
- Changchun University of Chinese Medicine, No. 1035, Boshuo Rd, Jingyue Economic Development District, 130117 Changchun, China
| | - Qing Gong
- Changchun University of Chinese Medicine, No. 1035, Boshuo Rd, Jingyue Economic Development District, 130117 Changchun, China
| | - Ye Zhao
- Northwest University, No. 229, Taibai North Road, Xi' an 710069, China
| | - Ziqi Jin
- Changchun University of Chinese Medicine, No. 1035, Boshuo Rd, Jingyue Economic Development District, 130117 Changchun, China
| | - Zedong Cheng
- Liaoning University of Traditional Chinese Medicine, No. 79, Chongshan Eastern Rd, Huanggu District, 110847 Shenyang, China
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Gal J, Katsumata Y, Zhu H, Srinivasan S, Chen J, Johnson LA, Wang WX, Golden LR, Wilcock DM, Jicha GA, Cykowski MD, Nelson PT. Apolipoprotein E Proteinopathy Is a Major Dementia-Associated Pathologic Biomarker in Individuals with or without the APOE Epsilon 4 Allele. THE AMERICAN JOURNAL OF PATHOLOGY 2022; 192:564-578. [PMID: 34954207 PMCID: PMC8895423 DOI: 10.1016/j.ajpath.2021.11.013] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 10/27/2021] [Accepted: 11/24/2021] [Indexed: 12/14/2022]
Abstract
The amygdala is vulnerable to multiple or "mixed" mis-aggregated proteins associated with neurodegenerative conditions that can manifest clinically with amnestic dementia; the amygdala region is often affected even at earliest disease stages. With the original intent of identifying novel dementia-associated proteins, the detergent-insoluble proteome was characterized from the amygdalae of 40 participants from the University of Kentucky Alzheimer's Disease Center autopsy cohort. These individuals encompassed a spectrum of clinical conditions (cognitively normal to severe amnestic dementia). Polypeptides from the detergent-insoluble fraction were interrogated using liquid chromatography-electrospray ionization-tandem mass spectrometry. As anticipated, portions of peptides previously associated with neurologic diseases were enriched from subjects with dementia. Among all detected peptides, Apolipoprotein E (ApoE) stood out: even more than the expected Tau, APP/Aβ, and α-Synuclein peptides, ApoE peptides were strongly enriched in dementia cases, including from individuals lacking the APOE ε4 genotype. The amount of ApoE protein detected in detergent-insoluble fractions was robustly associated with levels of complement proteins C3 and C4. Immunohistochemical staining of APOE ε3/ε3 subjects' amygdalae confirmed ApoE co-localization with C4 in amyloid plaques. Thus, analyses of human amygdala proteomics indicate that rather than being only an "upstream" genetic risk factor, ApoE is an aberrantly aggregated protein in its own right, and show that the ApoE protein may play active disease-driving mechanistic roles in persons lacking the APOE ε4 allele.
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Affiliation(s)
- Jozsef Gal
- Spinal Cord and Brain Injury Research Center (SCoBIRC), University of Kentucky, Lexington, Kentucky,Department of Neuroscience, University of Kentucky, Lexington, Kentucky
| | - Yuriko Katsumata
- Department of Biostatistics, University of Kentucky, Lexington, Kentucky,Sanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky
| | - Haining Zhu
- Department of Molecular and Cellular Biochemistry, University of Kentucky, Lexington, Kentucky,Research & Development, Lexington VA Medical Center, Lexington, Kentucky
| | - Sukanya Srinivasan
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky
| | - Jing Chen
- Department of Molecular and Cellular Biochemistry, University of Kentucky, Lexington, Kentucky
| | - Lance Allen Johnson
- Department of Neuroscience, University of Kentucky, Lexington, Kentucky,Sanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky
| | - Wang-Xia Wang
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky,Department of Pathology, University of Kentucky, Lexington, Kentucky
| | | | - Donna M. Wilcock
- Department of Neuroscience, University of Kentucky, Lexington, Kentucky,Sanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky,Department of Physiology, University of Kentucky, Lexington, Kentucky
| | - Gregory A. Jicha
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky,Department of Neurology, University of Kentucky, Lexington, Kentucky
| | | | - Peter Tobias Nelson
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky; Department of Pathology, University of Kentucky, Lexington, Kentucky.
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Turk KW, Geada A, Alvarez VE, Xia W, Cherry JD, Nicks R, Meng G, Daley S, Tripodis Y, Huber BR, Budson AE, Dwyer B, Kowall NW, Cantu RC, Goldstein LE, Katz DI, Stern RA, Alosco ML, Mez J, McKee AC, Stein TD. A comparison between tau and amyloid-β cerebrospinal fluid biomarkers in chronic traumatic encephalopathy and Alzheimer disease. Alzheimers Res Ther 2022; 14:28. [PMID: 35139894 PMCID: PMC8830027 DOI: 10.1186/s13195-022-00976-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Accepted: 02/02/2022] [Indexed: 01/14/2023]
Abstract
BACKGROUND Cerebrospinal fluid (CSF) tau and beta-amyloid levels in chronic traumatic encephalopathy (CTE), a disease which can be clinically indistinguishable from Alzheimer's disease (AD), are largely unknown. We examined postmortem CSF analytes among participants with autopsy confirmed CTE and AD. METHODS In this cross-sectional study 192 participants from the Boston University AD Research Center, VA-BU-CLF Center, and Framingham Heart Study (FHS) had post-mortem CSF collected at autopsy. Participants were divided into pathological groups based on AD and CTE criteria, with 61 CTE participants (18 low, 43 high stage), 79 AD participants (23 low, 56 intermediate to high), 11 participants with CTE combined with AD, and 41 participants lacking both CTE and AD neuropathology. The Meso Scale Discovery immunoassay system was utilized to measure amyloid-beta (Aβ1-40, Aβ1-42), total tau (t-tau), and phosphorylated tau (p-tau181 and p-tau231). CSF analytes were then compared across the pathological groups: no CTE/no AD (control), Low CTE, Low AD, High CTE, Intermediate/High AD, and AD+CTE. RESULTS Among the Low disease state groups, the Low CTE group had significantly higher levels of p-tau231 versus the control group and compared to the Low AD group. The Low CTE group was also found to have significantly lower levels of Aβ1-42 compared to the control group. The high CTE group had higher levels of p-tau231 and lower levels of Aβ1-42 compared to Intermediate/High AD group. CONCLUSIONS Importantly, p-tau231 and Aβ1-42 were predictors of diagnosis of CTE vs. control and CTE vs. AD. Increased CSF p-tau231 is a promising potentially sensitive biomarker of CTE, and CSF Aβ1-42 needs further investigation in CTE.
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Affiliation(s)
- Katherine W Turk
- Boston University Alzheimer's Disease Research and CTE Center, Boston University School of Medicine, Boston, MA, 02118, USA
- VA Boston Healthcare System, 150 S. Huntington Avenue, Boston, MA, 02130, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, 20118, USA
| | - Alexandra Geada
- Boston University School of Medicine, Boston, MA, 02118, USA
| | - Victor E Alvarez
- Boston University Alzheimer's Disease Research and CTE Center, Boston University School of Medicine, Boston, MA, 02118, USA
- VA Boston Healthcare System, 150 S. Huntington Avenue, Boston, MA, 02130, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, 20118, USA
- VA Bedford Healthcare System, Bedford, MA, 01730, USA
| | - Weiming Xia
- Boston University Alzheimer's Disease Research and CTE Center, Boston University School of Medicine, Boston, MA, 02118, USA
- VA Bedford Healthcare System, Bedford, MA, 01730, USA
| | - Jonathan D Cherry
- Boston University Alzheimer's Disease Research and CTE Center, Boston University School of Medicine, Boston, MA, 02118, USA
- VA Boston Healthcare System, 150 S. Huntington Avenue, Boston, MA, 02130, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, 20118, USA
| | - Raymond Nicks
- Boston University Alzheimer's Disease Research and CTE Center, Boston University School of Medicine, Boston, MA, 02118, USA
- VA Bedford Healthcare System, Bedford, MA, 01730, USA
| | - Gaoyuan Meng
- VA Boston Healthcare System, 150 S. Huntington Avenue, Boston, MA, 02130, USA
- VA Bedford Healthcare System, Bedford, MA, 01730, USA
| | - Sarah Daley
- Boston University Alzheimer's Disease Research and CTE Center, Boston University School of Medicine, Boston, MA, 02118, USA
- VA Bedford Healthcare System, Bedford, MA, 01730, USA
| | - Yorghos Tripodis
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, 20118, USA
| | - Bertrand R Huber
- Boston University Alzheimer's Disease Research and CTE Center, Boston University School of Medicine, Boston, MA, 02118, USA
- VA Boston Healthcare System, 150 S. Huntington Avenue, Boston, MA, 02130, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, 20118, USA
| | - Andrew E Budson
- Boston University Alzheimer's Disease Research and CTE Center, Boston University School of Medicine, Boston, MA, 02118, USA
- VA Boston Healthcare System, 150 S. Huntington Avenue, Boston, MA, 02130, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, 20118, USA
| | - Brigid Dwyer
- Department of Neurology, Boston University School of Medicine, Boston, MA, 20118, USA
- Braintree Rehabilitation Hospital, Braintree, MA, 02118, USA
| | - Neil W Kowall
- Boston University Alzheimer's Disease Research and CTE Center, Boston University School of Medicine, Boston, MA, 02118, USA
- VA Boston Healthcare System, 150 S. Huntington Avenue, Boston, MA, 02130, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, 20118, USA
| | - Robert C Cantu
- Boston University Alzheimer's Disease Research and CTE Center, Boston University School of Medicine, Boston, MA, 02118, USA
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA, 20119, USA
- Concussion Legacy Foundation, Boston, MA, 02115, USA
- Department of Neurosurgery, Boston University School of Medicine, Boston, MA, 02118, USA
- Department of Neurosurgery, Emerson Hospital, Concord, MA, 01742, USA
| | - Lee E Goldstein
- Boston University Alzheimer's Disease Research and CTE Center, Boston University School of Medicine, Boston, MA, 02118, USA
- Departments of Psychiatry, Ophthalmology, Boston University School of Medicine, Boston, USA
- Departments of Biomedical, Electrical & Computer Engineering, Boston University College of Engineering, Boston, USA
- Department of Pathology and Laboratory Medicine, Boston University School of Medicine, Boston, MA, 02118, USA
| | - Douglas I Katz
- Department of Neurology, Boston University School of Medicine, Boston, MA, 20118, USA
- Braintree Rehabilitation Hospital, Braintree, MA, 02118, USA
| | - Robert A Stern
- Boston University Alzheimer's Disease Research and CTE Center, Boston University School of Medicine, Boston, MA, 02118, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, 20118, USA
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA, 20119, USA
- Department of Neurosurgery, Boston University School of Medicine, Boston, MA, 02118, USA
| | - Michael L Alosco
- Boston University Alzheimer's Disease Research and CTE Center, Boston University School of Medicine, Boston, MA, 02118, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, 20118, USA
| | - Jesse Mez
- Boston University Alzheimer's Disease Research and CTE Center, Boston University School of Medicine, Boston, MA, 02118, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, 20118, USA
| | - Ann C McKee
- Boston University Alzheimer's Disease Research and CTE Center, Boston University School of Medicine, Boston, MA, 02118, USA
- VA Boston Healthcare System, 150 S. Huntington Avenue, Boston, MA, 02130, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, 20118, USA
- VA Bedford Healthcare System, Bedford, MA, 01730, USA
- Department of Pathology and Laboratory Medicine, Boston University School of Medicine, Boston, MA, 02118, USA
| | - Thor D Stein
- Boston University Alzheimer's Disease Research and CTE Center, Boston University School of Medicine, Boston, MA, 02118, USA.
- VA Boston Healthcare System, 150 S. Huntington Avenue, Boston, MA, 02130, USA.
- VA Bedford Healthcare System, Bedford, MA, 01730, USA.
- Department of Pathology and Laboratory Medicine, Boston University School of Medicine, Boston, MA, 02118, USA.
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Tecalco-Cruz AC, Pedraza-Chaverri J, Briones-Herrera A, Cruz-Ramos E, López-Canovas L, Zepeda-Cervantes J. Protein degradation-associated mechanisms that are affected in Alzheimer´s disease. Mol Cell Biochem 2022; 477:915-925. [PMID: 35083609 DOI: 10.1007/s11010-021-04334-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Accepted: 12/15/2021] [Indexed: 12/28/2022]
Abstract
Alzheimer's disease (AD) is the most common type of dementia associated with age-related neurodegeneration. Alteration of several molecular mechanisms has been correlated with the progression of AD. In recent years, dysregulation of proteostasis-associated pathways has emerged as a potential risk factor for neurodegenerative diseases. This review investigated the ubiquitin-proteasome system, lysosome-associated degradation, endoplasmic-reticulum-associated degradation, and the formation of advanced glycation end products. These pathways involved in proteostasis have been reported to be altered in AD, suggesting that their study may be critical for identifying new biomarkers and target molecules for AD.
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Affiliation(s)
- Angeles C Tecalco-Cruz
- Posgrado en Ciencias Genómicas, Universidad Autónoma de la Ciudad de México (UACM), Apdo. Postal 03100, Ciudad de México, Mexico.
| | - José Pedraza-Chaverri
- Departamento de Biología. Facultad de Química, Universidad Nacional Autónoma de México, Apdo. Postal 04510, Ciudad de México, Mexico
| | - Alfredo Briones-Herrera
- Departamento de Biología. Facultad de Química, Universidad Nacional Autónoma de México, Apdo. Postal 04510, Ciudad de México, Mexico
| | - Eduardo Cruz-Ramos
- Posgrado en Ciencias Genómicas, Universidad Autónoma de la Ciudad de México (UACM), Apdo. Postal 03100, Ciudad de México, Mexico
| | - Lilia López-Canovas
- Posgrado en Ciencias Genómicas, Universidad Autónoma de la Ciudad de México (UACM), Apdo. Postal 03100, Ciudad de México, Mexico
| | - Jesús Zepeda-Cervantes
- Facultad de Medicina Veterinaria y Zootecnia, Universidad Nacional Autónoma de México, Apdo. Postal 04510, Ciudad de México, Mexico
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40
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Farrell K, Kim S, Han N, Iida MA, Gonzalez EM, Otero-Garcia M, Walker JM, Richardson TE, Renton AE, Andrews SJ, Fulton-Howard B, Humphrey J, Vialle RA, Bowles KR, de Paiva Lopes K, Whitney K, Dangoor DK, Walsh H, Marcora E, Hefti MM, Casella A, Sissoko CT, Kapoor M, Novikova G, Udine E, Wong G, Tang W, Bhangale T, Hunkapiller J, Ayalon G, Graham RR, Cherry JD, Cortes EP, Borukov VY, McKee AC, Stein TD, Vonsattel JP, Teich AF, Gearing M, Glass J, Troncoso JC, Frosch MP, Hyman BT, Dickson DW, Murray ME, Attems J, Flanagan ME, Mao Q, Mesulam MM, Weintraub S, Woltjer RL, Pham T, Kofler J, Schneider JA, Yu L, Purohit DP, Haroutunian V, Hof PR, Gandy S, Sano M, Beach TG, Poon W, Kawas CH, Corrada MM, Rissman RA, Metcalf J, Shuldberg S, Salehi B, Nelson PT, Trojanowski JQ, Lee EB, Wolk DA, McMillan CT, Keene CD, Latimer CS, Montine TJ, Kovacs GG, Lutz MI, Fischer P, Perrin RJ, Cairns NJ, Franklin EE, Cohen HT, Raj T, Cobos I, Frost B, Goate A, White Iii CL, Crary JF. Genome-wide association study and functional validation implicates JADE1 in tauopathy. Acta Neuropathol 2022; 143:33-53. [PMID: 34719765 PMCID: PMC8786260 DOI: 10.1007/s00401-021-02379-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Revised: 10/13/2021] [Accepted: 10/24/2021] [Indexed: 01/07/2023]
Abstract
Primary age-related tauopathy (PART) is a neurodegenerative pathology with features distinct from but also overlapping with Alzheimer disease (AD). While both exhibit Alzheimer-type temporal lobe neurofibrillary degeneration alongside amnestic cognitive impairment, PART develops independently of amyloid-β (Aβ) plaques. The pathogenesis of PART is not known, but evidence suggests an association with genes that promote tau pathology and others that protect from Aβ toxicity. Here, we performed a genetic association study in an autopsy cohort of individuals with PART (n = 647) using Braak neurofibrillary tangle stage as a quantitative trait. We found some significant associations with candidate loci associated with AD (SLC24A4, MS4A6A, HS3ST1) and progressive supranuclear palsy (MAPT and EIF2AK3). Genome-wide association analysis revealed a novel significant association with a single nucleotide polymorphism on chromosome 4 (rs56405341) in a locus containing three genes, including JADE1 which was significantly upregulated in tangle-bearing neurons by single-soma RNA-seq. Immunohistochemical studies using antisera targeting JADE1 protein revealed localization within tau aggregates in autopsy brains with four microtubule-binding domain repeats (4R) isoforms and mixed 3R/4R, but not with 3R exclusively. Co-immunoprecipitation in post-mortem human PART brain tissue revealed a specific binding of JADE1 protein to four repeat tau lacking N-terminal inserts (0N4R). Finally, knockdown of the Drosophila JADE1 homolog rhinoceros (rno) enhanced tau-induced toxicity and apoptosis in vivo in a humanized 0N4R mutant tau knock-in model, as quantified by rough eye phenotype and terminal deoxynucleotidyl transferase dUTP nick end-labeling (TUNEL) in the fly brain. Together, these findings indicate that PART has a genetic architecture that partially overlaps with AD and other tauopathies and suggests a novel role for JADE1 as a modifier of neurofibrillary degeneration.
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Affiliation(s)
- Kurt Farrell
- Department of Pathology, Neuropathology Brain Bank and Research CoRE, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place Box 1194, New York, NY, 10029, USA
- Nash Department of Neuroscience, Ronald M. Loeb Center for Alzheimer's Disease, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - SoongHo Kim
- Department of Pathology, Neuropathology Brain Bank and Research CoRE, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place Box 1194, New York, NY, 10029, USA
- Nash Department of Neuroscience, Ronald M. Loeb Center for Alzheimer's Disease, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Natalia Han
- Department of Pathology, Neuropathology Brain Bank and Research CoRE, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place Box 1194, New York, NY, 10029, USA
- Nash Department of Neuroscience, Ronald M. Loeb Center for Alzheimer's Disease, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Megan A Iida
- Department of Pathology, Neuropathology Brain Bank and Research CoRE, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place Box 1194, New York, NY, 10029, USA
- Nash Department of Neuroscience, Ronald M. Loeb Center for Alzheimer's Disease, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Elias M Gonzalez
- Department of Cell Systems and Anatomy, Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, the Sam and Ann Barshop Institute for Longevity and Aging Studies, University of Texas Health San Antonio, San Antonio, TX, 78229, USA
| | - Marcos Otero-Garcia
- Department of Pathology and Laboratory Medicine, Division of Neuropathology, University of California, Los Angeles, CA, USA
| | - Jamie M Walker
- Department of Pathology and Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, UT Health San Antonio, San Antonio, TX, USA
| | - Timothy E Richardson
- Department of Pathology and Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, UT Health San Antonio, San Antonio, TX, USA
| | - Alan E Renton
- Nash Department of Neuroscience, Ronald M. Loeb Center for Alzheimer's Disease, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Shea J Andrews
- Nash Department of Neuroscience, Ronald M. Loeb Center for Alzheimer's Disease, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Brian Fulton-Howard
- Nash Department of Neuroscience, Ronald M. Loeb Center for Alzheimer's Disease, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jack Humphrey
- Nash Department of Neuroscience, Ronald M. Loeb Center for Alzheimer's Disease, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ricardo A Vialle
- Nash Department of Neuroscience, Ronald M. Loeb Center for Alzheimer's Disease, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kathryn R Bowles
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Katia de Paiva Lopes
- Nash Department of Neuroscience, Ronald M. Loeb Center for Alzheimer's Disease, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kristen Whitney
- Department of Pathology, Neuropathology Brain Bank and Research CoRE, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place Box 1194, New York, NY, 10029, USA
- Nash Department of Neuroscience, Ronald M. Loeb Center for Alzheimer's Disease, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Diana K Dangoor
- Department of Pathology, Neuropathology Brain Bank and Research CoRE, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place Box 1194, New York, NY, 10029, USA
- Nash Department of Neuroscience, Ronald M. Loeb Center for Alzheimer's Disease, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Hadley Walsh
- Department of Pathology, Neuropathology Brain Bank and Research CoRE, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place Box 1194, New York, NY, 10029, USA
- Nash Department of Neuroscience, Ronald M. Loeb Center for Alzheimer's Disease, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Edoardo Marcora
- Nash Department of Neuroscience, Ronald M. Loeb Center for Alzheimer's Disease, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Marco M Hefti
- Department of Pathology, University of Iowa, Iowa City, IA, USA
| | - Alicia Casella
- Department of Pathology, Neuropathology Brain Bank and Research CoRE, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place Box 1194, New York, NY, 10029, USA
- Nash Department of Neuroscience, Ronald M. Loeb Center for Alzheimer's Disease, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Cheick T Sissoko
- Department of Pathology, Neuropathology Brain Bank and Research CoRE, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place Box 1194, New York, NY, 10029, USA
- Nash Department of Neuroscience, Ronald M. Loeb Center for Alzheimer's Disease, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Manav Kapoor
- Nash Department of Neuroscience, Ronald M. Loeb Center for Alzheimer's Disease, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Gloriia Novikova
- Nash Department of Neuroscience, Ronald M. Loeb Center for Alzheimer's Disease, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Evan Udine
- Nash Department of Neuroscience, Ronald M. Loeb Center for Alzheimer's Disease, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Garrett Wong
- Nash Department of Neuroscience, Ronald M. Loeb Center for Alzheimer's Disease, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Weijing Tang
- Department of Pathology, Stanford University, Palo Alto, USA
| | - Tushar Bhangale
- Department of Human Genetics, Genentech, South San Francisco, CA, USA
| | - Julie Hunkapiller
- Department of Human Genetics, Genentech, South San Francisco, CA, USA
| | - Gai Ayalon
- Neumora Therapeutics, South San Francisco, CA, USA
| | | | - Jonathan D Cherry
- Department of Pathology (Neuropathology), VA Medical Center, Boston University School of Medicine, Boston, MA, USA
| | - Etty P Cortes
- Department of Pathology, Neuropathology Brain Bank and Research CoRE, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place Box 1194, New York, NY, 10029, USA
- Nash Department of Neuroscience, Ronald M. Loeb Center for Alzheimer's Disease, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Valeriy Y Borukov
- Department of Pathology, Neuropathology Brain Bank and Research CoRE, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place Box 1194, New York, NY, 10029, USA
- Nash Department of Neuroscience, Ronald M. Loeb Center for Alzheimer's Disease, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ann C McKee
- Department of Pathology (Neuropathology), VA Medical Center, Boston University School of Medicine, Boston, MA, USA
| | - Thor D Stein
- Department of Pathology (Neuropathology), VA Medical Center, Boston University School of Medicine, Boston, MA, USA
| | - Jean-Paul Vonsattel
- Department of Pathology and Cell Biology, Department of Neurology, and the Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Medical Center, New York, NY, USA
| | - Andy F Teich
- Department of Pathology and Cell Biology, Department of Neurology, and the Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Medical Center, New York, NY, USA
| | - Marla Gearing
- Department of Pathology and Laboratory Medicine (Neuropathology) and Neurology, Emory University School of Medicine, Atlanta, GA, USA
| | - Jonathan Glass
- Department of Pathology and Laboratory Medicine (Neuropathology) and Neurology, Emory University School of Medicine, Atlanta, GA, USA
| | - Juan C Troncoso
- Department of Pathology, Division of Neuropathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Matthew P Frosch
- Department of Neurology and Pathology, Harvard Medical School and Massachusetts General Hospital, Charlestown, MA, USA
| | - Bradley T Hyman
- Department of Neurology and Pathology, Harvard Medical School and Massachusetts General Hospital, Charlestown, MA, USA
| | | | | | - Johannes Attems
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Margaret E Flanagan
- Department of Pathology (Neuropathology), Northwestern Cognitive Neurology and Alzheimer Disease Center, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Qinwen Mao
- Department of Pathology (Neuropathology), Northwestern Cognitive Neurology and Alzheimer Disease Center, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - M-Marsel Mesulam
- Department of Pathology (Neuropathology), Northwestern Cognitive Neurology and Alzheimer Disease Center, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Sandra Weintraub
- Department of Pathology (Neuropathology), Northwestern Cognitive Neurology and Alzheimer Disease Center, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Randy L Woltjer
- Department of Pathology, Oregon Health Sciences University, Portland, OR, USA
| | - Thao Pham
- Department of Pathology, Oregon Health Sciences University, Portland, OR, USA
| | - Julia Kofler
- Department of Pathology (Neuropathology), University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Julie A Schneider
- Departments of Pathology (Neuropathology) and Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Lei Yu
- Departments of Pathology (Neuropathology) and Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Dushyant P Purohit
- Department of Pathology, Neuropathology Brain Bank and Research CoRE, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place Box 1194, New York, NY, 10029, USA
- Department of Psychiatry, Alzheimer's Disease Research Center, James J. Peters VA Medical Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Vahram Haroutunian
- Nash Department of Neuroscience, Ronald M. Loeb Center for Alzheimer's Disease, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Psychiatry, Alzheimer's Disease Research Center, James J. Peters VA Medical Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Patrick R Hof
- Nash Department of Neuroscience, Ronald M. Loeb Center for Alzheimer's Disease, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sam Gandy
- Department of Psychiatry, Alzheimer's Disease Research Center, James J. Peters VA Medical Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Neurology, Center for Cognitive Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Mary Sano
- Department of Psychiatry, Alzheimer's Disease Research Center, James J. Peters VA Medical Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Thomas G Beach
- Department of Neuropathology, Banner Sun Health Research Institute, Sun City, AZ, USA
| | - Wayne Poon
- Department of Neurology, Department of Epidemiology, Institute for Memory Impairments and Neurological Disorders, UC Irvine, Irvine, CA, USA
| | - Claudia H Kawas
- Department of Neurology, Department of Neurobiology and Behavior, Institute for Memory Impairments and Neurological Disorders, UC Irvine, Irvine, CA, USA
| | - María M Corrada
- Department of Neurology, Department of Epidemiology, Institute for Memory Impairments and Neurological Disorders, UC Irvine, Irvine, CA, USA
| | - Robert A Rissman
- Department of Neurosciences University of California and the Veterans Affairs San Diego Healthcare System, La Jolla, San Diego, California, USA
| | - Jeff Metcalf
- Department of Neurosciences University of California and the Veterans Affairs San Diego Healthcare System, La Jolla, San Diego, California, USA
| | - Sara Shuldberg
- Department of Neurosciences University of California and the Veterans Affairs San Diego Healthcare System, La Jolla, San Diego, California, USA
| | - Bahar Salehi
- Department of Neurosciences University of California and the Veterans Affairs San Diego Healthcare System, La Jolla, San Diego, California, USA
| | - Peter T Nelson
- Department of Pathology (Neuropathology) and Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
| | - John Q Trojanowski
- Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Edward B Lee
- Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - David A Wolk
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Corey T McMillan
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - C Dirk Keene
- Department of Laboratory Medicine and Pathology, University of f Medicine, Seattle, WA, USA
| | - Caitlin S Latimer
- Department of Laboratory Medicine and Pathology, University of f Medicine, Seattle, WA, USA
| | - Thomas J Montine
- Department of Laboratory Medicine and Pathology, University of f Medicine, Seattle, WA, USA
- Department of Pathology, Stanford University, Palo Alto, USA
| | - Gabor G Kovacs
- Laboratory Medicine Program, Krembil Brain Institute, University Health Network, Toronto, ON, Canada
- Tanz Centre for Research in Neurodegenerative Disease and Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
- Institute of Neurology, Medical University of Vienna, Vienna, Austria
| | - Mirjam I Lutz
- Institute of Neurology, Medical University of Vienna, Vienna, Austria
| | - Peter Fischer
- Department of Psychiatry, Danube Hospital, Vienna, Austria
| | - Richard J Perrin
- Department of Pathology and Immunology, Department of Neurology, Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Nigel J Cairns
- College of Medicine and Health, University of Exeter, Exeter, UK
| | - Erin E Franklin
- Department of Pathology and Immunology, Department of Neurology, Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Herbert T Cohen
- Departments of Medicine, Pathology, and Pharmacology, Boston University School of Medicine and Boston Medical Center, Boston, MA, USA
| | - Towfique Raj
- Nash Department of Neuroscience, Ronald M. Loeb Center for Alzheimer's Disease, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Inma Cobos
- Department of Pathology, Stanford University, Palo Alto, USA
| | - Bess Frost
- Department of Cell Systems and Anatomy, Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, the Sam and Ann Barshop Institute for Longevity and Aging Studies, University of Texas Health San Antonio, San Antonio, TX, 78229, USA
| | - Alison Goate
- Nash Department of Neuroscience, Ronald M. Loeb Center for Alzheimer's Disease, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Charles L White Iii
- Department of Pathology (Neuropathology), University of Texas Southwestern Medical School, Dallas, TX, USA
| | - John F Crary
- Department of Pathology, Neuropathology Brain Bank and Research CoRE, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place Box 1194, New York, NY, 10029, USA.
- Nash Department of Neuroscience, Ronald M. Loeb Center for Alzheimer's Disease, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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41
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Savola S, Kaivola K, Raunio A, Kero M, Mäkelä M, Pärn K, Palta P, Tanskanen M, Tuimala J, Polvikoski T, Tienari PJ, Paetau A, Myllykangas L. Primary Age‐Related Tauopathy (PART) in a Finnish Population‐Based Study of the Oldest Old (Vantaa 85+). Neuropathol Appl Neurobiol 2021; 48:e12788. [PMID: 34927275 PMCID: PMC9305229 DOI: 10.1111/nan.12788] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Revised: 11/16/2021] [Accepted: 12/12/2021] [Indexed: 11/26/2022]
Abstract
Aims Few studies have investigated primary age‐related tauopathy (PART) in a population‐based setting. Here, we assessed its prevalence, genetic background, comorbidities and features of cognitive decline in an unselected elderly population. Methods The population‐based Vantaa 85+ study includes all 601 inhabitants of Vantaa aged ≥ 85 years in 1991. Neuropathological assessment was possible in 301. Dementia (DSM IIIR criteria) and Mini‐Mental State Examination (MMSE) scores were assessed at the baseline of the study and follow‐ups. PART subjects were identified according to the criteria by Crary et al and were compared with subjects with mild and severe Alzheimer's disease (AD) neuropathological changes. The effects of other neuropathologies were taken into account using multivariate and sensitivity assays. Genetic analyses included APOE genotypes and 29 polymorphisms of the MAPT 3′ untranslated region (3′UTR region). Results The frequency of PART was 20% (n = 61/301, definite PART 5%). When PART subjects were compared with those with severe AD pathology, dementia was less common, its age at onset was higher and duration shorter. No such differences were seen when compared with those with milder AD pathology. However, both AD groups showed a steeper decline in MMSE scores in follow‐ups compared with PART. APOE ε4 frequency was lower, and APOE ε2 frequency higher in the PART group compared with each AD group. The detected nominally significant associations between PART and two MAPT 3′UTR polymorphisms and haplotypes did not survive Bonferroni correction. Conclusions PART is common among very elderly. PART subjects differ from individuals with AD‐type changes in the pattern of cognitive decline, associated genetic and neuropathological features.
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Affiliation(s)
- Sara Savola
- Department of Pathology University of Helsinki Helsinki Finland
- Department of Pathology, HUS Diagnostic Center Helsinki University Hospital Helsinki Finland
| | - Karri Kaivola
- Translational Immunology, Research Programs Unit University of Helsinki Helsinki Finland
- Department of Neurology University of Helsinki and Helsinki University Hospital Helsinki Finland
| | - Anna Raunio
- Department of Pathology University of Helsinki Helsinki Finland
- Department of Pathology, HUS Diagnostic Center Helsinki University Hospital Helsinki Finland
| | - Mia Kero
- Department of Pathology University of Helsinki Helsinki Finland
- Department of Pathology, HUS Diagnostic Center Helsinki University Hospital Helsinki Finland
| | - Mira Mäkelä
- Department of Pathology University of Helsinki Helsinki Finland
- Department of Pathology, HUS Diagnostic Center Helsinki University Hospital Helsinki Finland
| | - Kalle Pärn
- Institute for Molecular Medicine Finland (FIMM), HiLIFE University of Helsinki Helsinki Finland
| | - Priit Palta
- Institute for Molecular Medicine Finland (FIMM), HiLIFE University of Helsinki Helsinki Finland
| | - Maarit Tanskanen
- Department of Pathology University of Helsinki Helsinki Finland
- Department of Pathology, HUS Diagnostic Center Helsinki University Hospital Helsinki Finland
| | - Jarno Tuimala
- Department of Pathology University of Helsinki Helsinki Finland
| | - Tuomo Polvikoski
- Translational and Clinical Research Institute Newcastle University Newcastle upon Tyne United Kingdom
| | - Pentti J. Tienari
- Translational Immunology, Research Programs Unit University of Helsinki Helsinki Finland
- Department of Neurology University of Helsinki and Helsinki University Hospital Helsinki Finland
| | - Anders Paetau
- Department of Pathology University of Helsinki Helsinki Finland
- Department of Pathology, HUS Diagnostic Center Helsinki University Hospital Helsinki Finland
| | - Liisa Myllykangas
- Department of Pathology University of Helsinki Helsinki Finland
- Department of Pathology, HUS Diagnostic Center Helsinki University Hospital Helsinki Finland
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42
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Sanchez-Varo R, Sanchez-Mejias E, Fernandez-Valenzuela JJ, De Castro V, Mejias-Ortega M, Gomez-Arboledas A, Jimenez S, Sanchez-Mico MV, Trujillo-Estrada L, Moreno-Gonzalez I, Baglietto-Vargas D, Vizuete M, Davila JC, Vitorica J, Gutierrez A. Plaque-Associated Oligomeric Amyloid-Beta Drives Early Synaptotoxicity in APP/PS1 Mice Hippocampus: Ultrastructural Pathology Analysis. Front Neurosci 2021; 15:752594. [PMID: 34803589 PMCID: PMC8600261 DOI: 10.3389/fnins.2021.752594] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 10/04/2021] [Indexed: 01/14/2023] Open
Abstract
Alzheimer’s disease (AD) is a devastating neurodegenerative disorder characterized by initial memory impairments that progress to dementia. In this sense, synaptic dysfunction and loss have been established as the pathological features that best correlate with the typical early cognitive decline in this disease. At the histopathological level, post mortem AD brains typically exhibit intraneuronal neurofibrillary tangles (NFTs) along with the accumulation of amyloid-beta (Abeta) peptides in the form of extracellular deposits. Specifically, the oligomeric soluble forms of Abeta are considered the most synaptotoxic species. In addition, neuritic plaques are Abeta deposits surrounded by activated microglia and astroglia cells together with abnormal swellings of neuronal processes named dystrophic neurites. These periplaque aberrant neurites are mostly presynaptic elements and represent the first pathological indicator of synaptic dysfunction. In terms of losing synaptic proteins, the hippocampus is one of the brain regions most affected in AD patients. In this work, we report an early decline in spatial memory, along with hippocampal synaptic changes, in an amyloidogenic APP/PS1 transgenic model. Quantitative electron microscopy revealed a spatial synaptotoxic pattern around neuritic plaques with significant loss of periplaque synaptic terminals, showing rising synapse loss close to the border, especially in larger plaques. Moreover, dystrophic presynapses were filled with autophagic vesicles in detriment of the presynaptic vesicular density, probably interfering with synaptic function at very early synaptopathological disease stages. Electron immunogold labeling showed that the periphery of amyloid plaques, and the associated dystrophic neurites, was enriched in Abeta oligomers supporting an extracellular location of the synaptotoxins. Finally, the incubation of primary neurons with soluble fractions derived from 6-month-old APP/PS1 hippocampus induced significant loss of synaptic proteins, but not neuronal death. Indeed, this preclinical transgenic model could serve to investigate therapies targeted at initial stages of synaptic dysfunction relevant to the prodromal and early AD.
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Affiliation(s)
- Raquel Sanchez-Varo
- Departamento Biologia Celular, Genetica y Fisiologia, Instituto de Investigacion Biomedica de Malaga-IBIMA, Facultad de Ciencias, Universidad de Málaga, Málaga, Spain.,Centro de Investigación Biomedica en Red Sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain.,Departamento Fisiologia Humana, Histologia Humana, Anatomia Patologica y Educacion Fisica y Deportiva, Facultad de Medicina, Universidad de Málaga, Málaga, Spain
| | - Elisabeth Sanchez-Mejias
- Departamento Biologia Celular, Genetica y Fisiologia, Instituto de Investigacion Biomedica de Malaga-IBIMA, Facultad de Ciencias, Universidad de Málaga, Málaga, Spain.,Centro de Investigación Biomedica en Red Sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Juan Jose Fernandez-Valenzuela
- Departamento Biologia Celular, Genetica y Fisiologia, Instituto de Investigacion Biomedica de Malaga-IBIMA, Facultad de Ciencias, Universidad de Málaga, Málaga, Spain.,Centro de Investigación Biomedica en Red Sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Vanessa De Castro
- Departamento Biologia Celular, Genetica y Fisiologia, Instituto de Investigacion Biomedica de Malaga-IBIMA, Facultad de Ciencias, Universidad de Málaga, Málaga, Spain
| | - Marina Mejias-Ortega
- Departamento Biologia Celular, Genetica y Fisiologia, Instituto de Investigacion Biomedica de Malaga-IBIMA, Facultad de Ciencias, Universidad de Málaga, Málaga, Spain.,Centro de Investigación Biomedica en Red Sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Angela Gomez-Arboledas
- Departamento Biologia Celular, Genetica y Fisiologia, Instituto de Investigacion Biomedica de Malaga-IBIMA, Facultad de Ciencias, Universidad de Málaga, Málaga, Spain.,Centro de Investigación Biomedica en Red Sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Sebastian Jimenez
- Centro de Investigación Biomedica en Red Sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain.,Departamento Bioquimica y Biologia Molecular, Facultad de Farmacia, Universidad de Sevilla, Seville, Spain.,Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocio CSIC/Universidad de Sevilla, Seville, Spain
| | - Maria Virtudes Sanchez-Mico
- Centro de Investigación Biomedica en Red Sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain.,Departamento Bioquimica y Biologia Molecular, Facultad de Farmacia, Universidad de Sevilla, Seville, Spain.,Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocio CSIC/Universidad de Sevilla, Seville, Spain
| | - Laura Trujillo-Estrada
- Departamento Biologia Celular, Genetica y Fisiologia, Instituto de Investigacion Biomedica de Malaga-IBIMA, Facultad de Ciencias, Universidad de Málaga, Málaga, Spain.,Centro de Investigación Biomedica en Red Sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Ines Moreno-Gonzalez
- Departamento Biologia Celular, Genetica y Fisiologia, Instituto de Investigacion Biomedica de Malaga-IBIMA, Facultad de Ciencias, Universidad de Málaga, Málaga, Spain.,Centro de Investigación Biomedica en Red Sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain.,Department of Neurology, McGovern Medical School, UTHealth Science Center at Houston, Houston, TX, United States
| | - David Baglietto-Vargas
- Departamento Biologia Celular, Genetica y Fisiologia, Instituto de Investigacion Biomedica de Malaga-IBIMA, Facultad de Ciencias, Universidad de Málaga, Málaga, Spain.,Centro de Investigación Biomedica en Red Sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Marisa Vizuete
- Centro de Investigación Biomedica en Red Sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain.,Departamento Bioquimica y Biologia Molecular, Facultad de Farmacia, Universidad de Sevilla, Seville, Spain.,Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocio CSIC/Universidad de Sevilla, Seville, Spain
| | - Jose Carlos Davila
- Departamento Biologia Celular, Genetica y Fisiologia, Instituto de Investigacion Biomedica de Malaga-IBIMA, Facultad de Ciencias, Universidad de Málaga, Málaga, Spain.,Centro de Investigación Biomedica en Red Sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Javier Vitorica
- Centro de Investigación Biomedica en Red Sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain.,Departamento Bioquimica y Biologia Molecular, Facultad de Farmacia, Universidad de Sevilla, Seville, Spain.,Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocio CSIC/Universidad de Sevilla, Seville, Spain
| | - Antonia Gutierrez
- Departamento Biologia Celular, Genetica y Fisiologia, Instituto de Investigacion Biomedica de Malaga-IBIMA, Facultad de Ciencias, Universidad de Málaga, Málaga, Spain.,Centro de Investigación Biomedica en Red Sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
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Kloske CM, Dugan AJ, Weekman EM, Winder Z, Patel E, Nelson PT, Fardo DW, Wilcock DM. Inflammatory Pathways Are Impaired in Alzheimer Disease and Differentially Associated With Apolipoprotein E Status. J Neuropathol Exp Neurol 2021; 80:922-932. [PMID: 34486652 PMCID: PMC8557334 DOI: 10.1093/jnen/nlab085] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
Alzheimer disease (AD) is a neurodegenerative disease characterized by a cognitive decline leading to dementia. The most impactful genetic risk factor is apolipoprotein E (APOE). APOE-ε4 significantly increases AD risk, APOE-ε3 is the most common gene variant, and APOE-ε2 protects against AD. However, the underlying mechanisms of APOE-ε4 on AD risk remains unclear, with APOE-ε4 impacting many pathways. We investigated how the APOE isoforms associated with the neuroinflammatory state of the brain with and without AD pathology. Frozen brain tissue from the superior and middle temporal gyrus was analyzed from APOE-ε3/3 (n = 9) or APOE-ε4/4 (n = 10) participants with AD pathology and APOE-ε3/3 (n = 9) participants without AD pathology. We determined transcript levels of 757 inflammatory related genes using the NanoString Human Neuroinflammation Panel. We found significant pathways impaired in APOE-ε4/4-AD individuals compared to APOE-ε3/3-AD. Of interest, expression of genes related to microglial activation (SALL1), motility (FSCN1), epigenetics (DNMT1), and others showed altered expression. Additionally, we performed immunohistochemistry of P2RY12 to confirm reduced microglial activation. Our results suggest APOE-ε3 responds to AD pathology while potentially having a harmful long-term inflammatory response, while APOE-ε4 shows a weakened response to pathology. Overall, APOE isoforms appear to modulate the brain immune response to AD-type pathology.
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Affiliation(s)
- Courtney M Kloske
- From the Department of Physiology, Sanders-Brown Center on Aging, College of Medicine, University of Kentucky, Lexington, Kentucky, USA
| | - Adam J Dugan
- Department of Biostatistics, College of Public Health, University of Kentucky, Lexington, Kentucky, USA
| | - Erica M Weekman
- From the Department of Physiology, Sanders-Brown Center on Aging, College of Medicine, University of Kentucky, Lexington, Kentucky, USA
| | - Zachary Winder
- From the Department of Physiology, Sanders-Brown Center on Aging, College of Medicine, University of Kentucky, Lexington, Kentucky, USA
| | - Ela Patel
- Department of Pathology and Laboratory Medicine, Sanders-Brown Center on Aging, College of Medicine, University of Kentucky, Lexington, Kentucky, USA
| | - Peter T Nelson
- Department of Pathology and Laboratory Medicine, Sanders-Brown Center on Aging, College of Medicine, University of Kentucky, Lexington, Kentucky, USA
| | - David W Fardo
- Department of Biostatics, Sanders-Brown Center on Aging, College of Public Health, University of Kentucky, Lexington, Kentucky, USA
| | - Donna M Wilcock
- From the Department of Physiology, Sanders-Brown Center on Aging, College of Medicine, University of Kentucky, Lexington, Kentucky, USA
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44
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Do Carmo S, Spillantini MG, Cuello AC. Editorial: Tau Pathology in Neurological Disorders. Front Neurol 2021; 12:754669. [PMID: 34630315 PMCID: PMC8497747 DOI: 10.3389/fneur.2021.754669] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 08/26/2021] [Indexed: 12/27/2022] Open
Affiliation(s)
- Sonia Do Carmo
- Department of Pharmacology and Therapeutics, McGill University, Montreal, QC, Canada
| | - Maria Grazia Spillantini
- Department of Clinical Neurosciences, Clifford Allbutt Building, University of Cambridge, Cambridge, United Kingdom
| | - A Claudio Cuello
- Department of Pharmacology and Therapeutics, McGill University, Montreal, QC, Canada.,Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada.,Department of Anatomy and Cell Biology, McGill University, Montreal, QC, Canada.,Department of Pharmacology, Oxford University, Oxford, United Kingdom
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45
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Appiah F, Charnigo RJ. A Comparison of Methods for Predicting Future Cognitive Status: Mixture Modeling, Latent Class Analysis, and Competitors. Alzheimer Dis Assoc Disord 2021; 35:306-314. [PMID: 34224419 PMCID: PMC8605986 DOI: 10.1097/wad.0000000000000462] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2020] [Accepted: 05/17/2021] [Indexed: 11/25/2022]
Abstract
PURPOSE The present work compares various methods for using baseline cognitive performance data to predict eventual cognitive status of longitudinal study participants at the University of Kentucky's Alzheimer's Disease Center. METHODS Cox proportional hazards models examined time to cognitive transition as predicted by risk strata derived from normal mixture modeling, latent class analysis, and a 1-SD thresholding approach. An additional comparator involved prediction directly from a numeric value for baseline cognitive performance. RESULTS A normal mixture model suggested 3 risk strata based on Consortium to Establish a Registry for Alzheimer's Disease (CERAD) T scores: high, intermediate, and low risk. Cox modeling of time to cognitive decline based on posterior probabilities for risk stratum membership yielded an estimated hazard ratio of 4.00 with 95% confidence interval 1.53-10.44 in comparing high risk membership to low risk; for intermediate risk membership versus low risk, the modeling yielded hazard ratio=2.29 and 95% confidence interval=0.98-5.33. Latent class analysis produced 3 groups, which did not have a clear ordering in terms of risk; however, one group exhibited appreciably greater hazard of cognitive decline. All methods for generating predictors of cognitive transition yielded statistically significant likelihood ratio statistics but modest concordance statistics. CONCLUSION Posterior probabilities from mixture modeling allow for risk stratification that is data-driven and, in the case of CERAD T scores, modestly predictive of later cognitive decline. Incorporating other covariates may enhance predictions.
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Affiliation(s)
- Frank Appiah
- Program, Management, Analytics and Technology, Greenwood Village, CO
| | - Richard J Charnigo
- Departments of Biostatistics
- Statistics, University of Kentucky, Lexington, KY
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46
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King-Robson J, Wilson H, Politis M. Associations Between Amyloid and Tau Pathology, and Connectome Alterations, in Alzheimer's Disease and Mild Cognitive Impairment. J Alzheimers Dis 2021; 82:541-560. [PMID: 34057079 DOI: 10.3233/jad-201457] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
BACKGROUND The roles of amyloid-β and tau in the degenerative process of Alzheimer's disease (AD) remain uncertain. [18F]AV-45 and [18F]AV-1451 PET quantify amyloid-β and tau pathology, respectively, while diffusion tractography enables detection of their microstructural consequences. OBJECTIVE Examine the impact of amyloid-β and tau pathology on the structural connectome and cognition, in mild cognitive impairment (MCI) and AD. METHODS Combined [18F]AV-45 and [18F]AV-1451 PET, diffusion tractography, and cognitive assessment in 28 controls, 32 MCI, and 26 AD patients. RESULTS Hippocampal connectivity was reduced to the thalami, right lateral orbitofrontal, and right amygdala in MCI; alongside the insula, posterior cingulate, right entorhinal, and numerous cortical regions in AD (all p < 0.05). Hippocampal strength inversely correlated with [18F]AV-1451 SUVr in MCI (r = -0.55, p = 0.049) and AD (r = -0.57, p = 0.046), while reductions in hippocampal connectivity to ipsilateral brain regions correlated with increased [18F]AV-45 SUVr in those same regions in MCI (r = -0.33, p = 0.003) and AD (r = -0.31, p = 0.006). Cognitive scores correlated with connectivity of the right temporal pole in MCI (r = -0.60, p = 0.035) and left hippocampus in AD (r = 0.69, p = 0.024). Clinical Dementia Rating Scale scores correlated with [18F]AV-1451 SUVr in multiple areas reflecting Braak stages I-IV, including the right (r = 0.65, p = 0.004) entorhinal cortex in MCI; and Braak stages III-VI, including the right (r = 0.062, p = 0.009) parahippocampal gyrus in AD. CONCLUSION Reductions in hippocampal connectivity predominate in the AD connectome, correlating with hippocampal tau in MCI and AD, and with amyloid-β in the target regions of those connections. Cognitive scores correlate with microstructural changes and reflect the accumulation of tau pathology.
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Affiliation(s)
- Josh King-Robson
- Neurodegeneration Imaging Group, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, London, UK
| | - Heather Wilson
- Neurodegeneration Imaging Group, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, London, UK.,Neurodegeneration Imaging Group, University of Exeter Medical School, London, UK
| | - Marios Politis
- Neurodegeneration Imaging Group, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, London, UK.,Neurodegeneration Imaging Group, University of Exeter Medical School, London, UK
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Karanth S, Nelson PT, Katsumata Y, Kryscio RJ, Schmitt FA, Fardo DW, Cykowski MD, Jicha GA, Van Eldik LJ, Abner EL. Prevalence and Clinical Phenotype of Quadruple Misfolded Proteins in Older Adults. JAMA Neurol 2021; 77:1299-1307. [PMID: 32568358 DOI: 10.1001/jamaneurol.2020.1741] [Citation(s) in RCA: 87] [Impact Index Per Article: 29.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Importance Quadruple misfolded proteins (tau neurofibrillary tangles, amyloid-β [Aβ], α-synuclein, and transactive response DNA-binding protein 43 [TDP-43]) in the same brain are relatively common in aging. However, the clinical presentation, associated factors, frequency in community-based cohorts, genetic characteristics, and cognitive trajectories associated with the quadruple misfolded proteins phenotype are not well understood. Objective To describe the quadruple misfolded proteins phenotype, including the trajectories of global cognition, in an autopsy cohort. Design, Setting, and Participants This retrospective cohort study used brain autopsy data from the University of Kentucky Alzheimer Disease Center (UK-ADC) Brain Bank. Participants were deceased individuals who were enrolled in a longitudinal community-based cohort study of aging and dementia in central Kentucky conducted by the UK-ADC. Included participants were enrolled in the UK-ADC cohort between January 1, 1989, and December 31, 2017; aged 55 years or older at baseline; and followed up for a mean duration of 10.4 years. The participants had Alzheimer disease pathology (tau and Aβ), α-synuclein, and TDP-43 data, along with Braak neurofibrillary tangle stage I to VI. Data analysis was conducted between February 1, 2019, and September 30, 2019. Main Outcomes and Measures Frequency of quadruple misfolded proteins was estimated, and proteinopathy group characteristics and associations with global cognition were evaluated. Multinomial logistic regression was used to estimate the association of proteinopathy group with participant characteristics, including age at death, sex, and apolipoprotein ε4 (APOE ε4) allele. Generalized estimating equations were used to estimate the probability of obtaining Mini-Mental State Examination (MMSE) scores within the normal cognition (27-30 points) and severe impairment (≤13 points) ranges during the 12 years before death. Results The final sample included 375 individuals (mean [SD] age at death, 86.9 [8.0] years); 232 women [61.9%]). Quadruple misfolded proteins were detected in 41 of 214 individuals with dementia (19.2%). Overall, 46 individuals (12.3%) had quadruple misfolded proteins, whereas 143 individuals (38.1%) had 3 proteinopathies. Dementia frequency was highest among those with quadruple misfolded proteins (41 [89.1%]), and participants with quadruple misfolded proteins had the lowest final mean (SD) MMSE scores of 13.4 (9.8) points. Adjusting for age at death and sex, the APOE ε4 allele was associated with higher odds of quadruple misfolded proteins (adjusted odds ratio, 2.55; 95% CI, 1.16- 5.62; P = .02). The quadruple misfolded proteins group had both the lowest probability of obtaining MMSE scores in the normal cognition range, even 12 years before death, and the highest probability of having MMSE scores in the severe impairment range. Conclusions and Relevance Quadruple misfolded proteins appear to be a common substrate for cognitive impairment and to be associated with an aggressive course of disease that typically ends with severe dementia. The prevalence of comorbid α-synuclein and TDP-43 with Alzheimer disease pathology (tau and Aβ) may complicate efforts to identify therapies to treat and prevent Alzheimer disease.
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Affiliation(s)
- Shama Karanth
- Department of Epidemiology, University of Kentucky, Lexington.,Sanders-Brown Center on Aging, University of Kentucky, Lexington
| | - Peter T Nelson
- Sanders-Brown Center on Aging, University of Kentucky, Lexington.,Department of Pathology, University of Kentucky, Lexington
| | - Yuriko Katsumata
- Sanders-Brown Center on Aging, University of Kentucky, Lexington.,Department of Biostatistics, University of Kentucky, Lexington
| | - Richard J Kryscio
- Sanders-Brown Center on Aging, University of Kentucky, Lexington.,Department of Biostatistics, University of Kentucky, Lexington.,Department of Statistics, University of Kentucky, Lexington
| | - Frederick A Schmitt
- Sanders-Brown Center on Aging, University of Kentucky, Lexington.,Department of Neurology, University of Kentucky, Lexington
| | - David W Fardo
- Sanders-Brown Center on Aging, University of Kentucky, Lexington.,Department of Biostatistics, University of Kentucky, Lexington
| | | | - Gregory A Jicha
- Sanders-Brown Center on Aging, University of Kentucky, Lexington.,Department of Neurology, University of Kentucky, Lexington
| | - Linda J Van Eldik
- Sanders-Brown Center on Aging, University of Kentucky, Lexington.,Department of Neuroscience, University of Kentucky, Lexington
| | - Erin L Abner
- Department of Epidemiology, University of Kentucky, Lexington.,Sanders-Brown Center on Aging, University of Kentucky, Lexington.,Department of Biostatistics, University of Kentucky, Lexington
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Xia Y, Prokop S, Giasson BI. "Don't Phos Over Tau": recent developments in clinical biomarkers and therapies targeting tau phosphorylation in Alzheimer's disease and other tauopathies. Mol Neurodegener 2021; 16:37. [PMID: 34090488 PMCID: PMC8180161 DOI: 10.1186/s13024-021-00460-5] [Citation(s) in RCA: 81] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Accepted: 05/26/2021] [Indexed: 12/11/2022] Open
Abstract
Phosphorylation is one of the most prevalent post-translational modifications found in aggregated tau isolated from Alzheimer’s disease (AD) patient brains. In tauopathies like AD, increased phosphorylation or hyperphosphorylation can contribute to microtubule dysfunction and is associated with tau aggregation. In this review, we provide an overview of the structure and functions of tau protein as well as the physiologic roles of tau phosphorylation. We also extensively survey tau phosphorylation sites identified in brain tissue and cerebrospinal fluid from AD patients compared to age-matched healthy controls, which may serve as disease-specific biomarkers. Recently, new assays have been developed to measure minute amounts of specific forms of phosphorylated tau in both cerebrospinal fluid and plasma, which could potentially be useful for aiding clinical diagnosis and monitoring disease progression. Additionally, multiple therapies targeting phosphorylated tau are in various stages of clinical trials including kinase inhibitors, phosphatase activators, and tau immunotherapy. With promising early results, therapies that target phosphorylated tau could be useful at slowing tau hyperphosphorylation and aggregation in AD and other tauopathies.
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Affiliation(s)
- Yuxing Xia
- Department of Neuroscience, College of Medicine, University of Florida, BMS J483/CTRND, 1275 Center Drive, Gainesville, FL, 32610, USA.,Center for Translational Research in Neurodegenerative Disease, College of Medicine, University of Florida, Gainesville, Florida, 32610, USA
| | - Stefan Prokop
- Center for Translational Research in Neurodegenerative Disease, College of Medicine, University of Florida, Gainesville, Florida, 32610, USA.,Department of Pathology, College of Medicine, University of Florida, Gainesville, Florida, 32610, USA.,McKnight Brain Institute, College of Medicine, University of Florida, Gainesville, Florida, 32610, USA
| | - Benoit I Giasson
- Department of Neuroscience, College of Medicine, University of Florida, BMS J483/CTRND, 1275 Center Drive, Gainesville, FL, 32610, USA. .,Center for Translational Research in Neurodegenerative Disease, College of Medicine, University of Florida, Gainesville, Florida, 32610, USA. .,McKnight Brain Institute, College of Medicine, University of Florida, Gainesville, Florida, 32610, USA.
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49
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Mold MJ, O’Farrell A, Morris B, Exley C. Aluminum and Tau in Neurofibrillary Tangles in Familial Alzheimer's Disease. J Alzheimers Dis Rep 2021; 5:283-294. [PMID: 34113785 PMCID: PMC8150251 DOI: 10.3233/adr-210011] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/11/2021] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND Familial Alzheimer's disease (fAD) is driven by genetic predispositions affecting the expression and metabolism of the amyloid-β protein precursor. Aluminum is a non-essential yet biologically-reactive metal implicated in the etiology of AD. Recent research has identified aluminum intricately and unequivocally associated with amyloid-β in senile plaques and, more tentatively, co-deposited with neuropil-like threads in the brains of a Colombian cohort of donors with fAD. OBJECTIVE Herein, we have assessed the co-localization of aluminum to immunolabelled phosphorylated tau to probe the potential preferential binding of aluminum to senile plaques or neurofibrillary tangles in the same Colombian kindred. METHODS Herein, we have performed phosphorylated tau-specific immunolabelling followed by aluminum-specific fluorescence microscopy of the identical brain tissue sections via a sequential labelling method. RESULTS Aluminum was co-localized with immunoreactive phosphorylated tau in the brains of donors with fAD. While aluminum was predominantly co-located to neurofibrillary tangles in the temporal cortex, aluminum was more frequently co-deposited with cortical senile plaques. CONCLUSION These data suggest that the co-deposition of aluminum with amyloid-β precedes that with neurofibrillary tangles. Extracellularly deposited amyloid-β may also be more immediately available to bind aluminum versus intracellular aggregates of tau. Therapeutic approaches to reduce tau have demonstrated the amelioration of its synergistic interactions with amyloid-β, ultimately reducing tau pathology and reducing neuronal loss. These data support the intricate associations of aluminum in the neuropathology of fAD, of which its subsequent reduction may further therapeutic benefits observed in ongoing clinical trials in vivo.
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Affiliation(s)
- Matthew John Mold
- The Birchall Centre, Lennard-Jones Laboratories, Keele University, Keele, Staffordshire, UK
| | - Adam O’Farrell
- School of Life Sciences, Huxley Building, Keele University, Keele, Staffordshire, UK
| | - Benjamin Morris
- School of Life Sciences, Huxley Building, Keele University, Keele, Staffordshire, UK
| | - Christopher Exley
- The Birchall Centre, Lennard-Jones Laboratories, Keele University, Keele, Staffordshire, UK
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50
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Slater C, Wang Q. Alzheimer's disease: An evolving understanding of noradrenergic involvement and the promising future of electroceutical therapies. Clin Transl Med 2021; 11:e397. [PMID: 33931975 PMCID: PMC8087948 DOI: 10.1002/ctm2.397] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Revised: 04/05/2021] [Accepted: 04/11/2021] [Indexed: 02/06/2023] Open
Abstract
Alzheimer's disease (AD) poses a significant global health concern over the next several decades. Multiple hypotheses have been put forth that attempt to explain the underlying pathophysiology of AD. Many of these are briefly reviewed here, but to-date no disease-altering therapy has been achieved. Despite this, recent work expanding on the role of noradrenergic system dysfunction in both the pathogenesis and symptomatic exacerbation of AD has shown promise. The role norepinephrine (NE) plays in AD remains complicated but pre-tangle tau has consistently been shown to arise in the locus coeruleus (LC) of patients with AD decades before symptom onset. The current research reviewed here indicates NE can facilitate neuroprotective and memory-enhancing effects through β adrenergic receptors, while α2A adrenergic receptors may exacerbate amyloid toxicity through a contribution to tau hyperphosphorylation. AD appears to involve a disruption in the balance between these two receptors and their various subtypes. There is also a poorly characterized interplay between the noradrenergic and cholinergic systems. LC deterioration leads to maladaptation in the remaining LC-NE system and subsequently inhibits cholinergic neuron function, eventually leading to the classic cholinergic disruption seen in AD. Understanding AD as a dysfunctional noradrenergic system, provides new avenues for the use of advanced neural stimulation techniques to both study and therapeutically target the earliest stages of neuropathology. Direct LC stimulation and non-invasive vagus nerve stimulation (VNS) have both demonstrated potential use as AD therapeutics. Significant work remains, though, to better understand the role of the noradrenergic system in AD and how electroceuticals can provide disease-altering treatments.
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Affiliation(s)
- Cody Slater
- Department of Biomedical EngineeringColumbia UniversityNew YorkNew YorkUSA
- Vagelos College of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
| | - Qi Wang
- Department of Biomedical EngineeringColumbia UniversityNew YorkNew YorkUSA
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