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Vanderlip CR, Stark CEL. Digital cognitive assessments as low-burden markers for predicting future cognitive decline and tau accumulation across the Alzheimer's spectrum. Alzheimers Dement 2024. [PMID: 39239892 DOI: 10.1002/alz.14154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2024] [Revised: 06/30/2024] [Accepted: 07/02/2024] [Indexed: 09/07/2024]
Abstract
BACKGROUND Digital cognitive assessments, particularly those that can be done at home, present as low-burden biomarkers for participants and patients alike, but their effectiveness in the diagnosis of Alzheimer's disease (AD) or predicting its trajectory is still unclear. Here, we assessed what utility or added value these digital cognitive assessments provide for identifying those at high risk of cognitive decline. METHODS We analyzed >500 Alzheimer's Disease Neuroimaging Initiative participants who underwent a brief digital cognitive assessment and amyloid beta (Aβ)/tau positron emission tomography scans, examining their ability to distinguish cognitive status and predict cognitive decline. RESULTS Performance on the digital cognitive assessment was superior to both cortical Aβ and entorhinal tau in detecting mild cognitive impairment and future cognitive decline, with mnemonic discrimination deficits emerging as the most critical measure for predicting decline and future tau accumulation. DISCUSSION Digital assessments are effective at identifying at-risk individuals, supporting their utility as low-burden tools for early AD detection and monitoring. HIGHLIGHTS Performance on digital cognitive assessments predicts progression to mild cognitive impairment at a higher proficiency compared to amyloid beta and tau. Deficits in mnemonic discrimination are indicative of future cognitive decline. Impaired mnemonic discrimination predicts future entorhinal and inferior temporal tau.
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Affiliation(s)
- Casey R Vanderlip
- Department of Neurobiology and Behavior, 1424 Biological Sciences III Irvine, University of California Irvine, Irvine, California, USA
| | - Craig E L Stark
- Department of Neurobiology and Behavior, 1424 Biological Sciences III Irvine, University of California Irvine, Irvine, California, USA
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2
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Hunter TR, Santos LE, Tovar-Moll F, De Felice FG. Alzheimer's disease biomarkers and their current use in clinical research and practice. Mol Psychiatry 2024:10.1038/s41380-024-02709-z. [PMID: 39232196 DOI: 10.1038/s41380-024-02709-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Revised: 08/14/2024] [Accepted: 08/19/2024] [Indexed: 09/06/2024]
Abstract
While blood-based tests are readily available for various conditions, including cardiovascular diseases, type 2 diabetes, and common cancers, Alzheimer's disease (AD) and other neurodegenerative diseases lack an early blood-based screening test that can be used in primary care. Major efforts have been made towards the investigation of approaches that may lead to minimally invasive, cost-effective, and reliable tests capable of measuring brain pathological status. Here, we review past and current technologies developed to investigate biomarkers of AD, including novel blood-based approaches and the more established cerebrospinal fluid and neuroimaging biomarkers of disease. The utility of blood as a source of AD-related biomarkers in both clinical practice and interventional trials is discussed, supported by a comprehensive list of clinical trials for AD drugs and interventions that list biomarkers as primary or secondary endpoints. We highlight that identifying individuals in early preclinical AD using blood-based biomarkers will improve clinical trials and the optimization of therapeutic treatments as they become available. Lastly, we discuss challenges that remain in the field and address new approaches being developed, such as the examination of cargo packaged within extracellular vesicles of neuronal origin isolated from peripheral blood.
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Affiliation(s)
- Tai R Hunter
- Department of Biomedical and Molecular Sciences, Queen's University, Kingston, ON, Canada
| | - Luis E Santos
- D'Or Institute for Research and Education, Rio de Janeiro, RJ, Brazil.
| | | | - Fernanda G De Felice
- Department of Biomedical and Molecular Sciences, Queen's University, Kingston, ON, Canada.
- D'Or Institute for Research and Education, Rio de Janeiro, RJ, Brazil.
- Centre for Neuroscience Studies and Department of Psychiatry, Queen's University, Kingston, ON, Canada.
- Institute of Medical Biochemistry Leopoldo de Meis, Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil.
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3
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Shen H, Liu K, Kong F, Ren M, Wang X, Wang S. Strategies for measuring concentrations and forms of amyloid-β peptides. Biosens Bioelectron 2024; 259:116405. [PMID: 38776801 DOI: 10.1016/j.bios.2024.116405] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 05/01/2024] [Accepted: 05/17/2024] [Indexed: 05/25/2024]
Abstract
Alzheimer's disease (AD) is affecting more and more people worldwide without the effective treatment, while the existed pathological mechanism has been confirmed barely useful in the treatment. Amyloid-β peptide (Aβ), a main component of senile plaque, is regarded as the most promising target in AD treatment. Aβ clearance from AD brain seems to be a reliably therapeutic strategy, as the two exited drugs, GV-971 and aducanumab, are both developed based on it. However, doubt still exists. To exhaustive expound on the pathological mechanism of Aβ, rigorous analyses on the concentrations and aggregation forms are essential. Thus, it is attracting broad attention these years. However, most of the sensors have not been used in pathological studies, as the lack of the bridge between analytical chemist and pathologists. In this review, we made a brief introduce on Aβ-related pathological mechanism included in β-amyloid hypothesis to elucidate the detection conditions of sensor methods. Furthermore, a summary of the sensor methods was made, which were based on Aβ concentrations and form detections that have been developed in the past 10 years. As the greatest number of the sensors were built on fluorescent spectroscopy, electrochemistry, and Roman spectroscopy, detailed elucidation on them was made. Notably, the aggregation process is another important factor in revealing the progress of AD and developing the treatment methods, so the sensors on monitoring Aβ aggregation processes were also summarized.
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Affiliation(s)
- Hangyu Shen
- State Key Laboratory of Biobased Materials and Green Papermaking, Qilu University of Technology (Shandong Academy of Sciences), Jinan, Shandong, 250353, PR China
| | - Keyin Liu
- State Key Laboratory of Biobased Materials and Green Papermaking, Qilu University of Technology (Shandong Academy of Sciences), Jinan, Shandong, 250353, PR China
| | - Fangong Kong
- State Key Laboratory of Biobased Materials and Green Papermaking, Qilu University of Technology (Shandong Academy of Sciences), Jinan, Shandong, 250353, PR China
| | - Mingguang Ren
- State Key Laboratory of Biobased Materials and Green Papermaking, Qilu University of Technology (Shandong Academy of Sciences), Jinan, Shandong, 250353, PR China
| | - Xiaoying Wang
- State Key Laboratory of Biobased Materials and Green Papermaking, Qilu University of Technology (Shandong Academy of Sciences), Jinan, Shandong, 250353, PR China; Shandong Haizhibao Ocean Technology Co., Ltd, Weihai, Shandong, 264333, PR China.
| | - Shoujuan Wang
- State Key Laboratory of Biobased Materials and Green Papermaking, Qilu University of Technology (Shandong Academy of Sciences), Jinan, Shandong, 250353, PR China.
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4
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Jia WW, Lin HW, Yang MG, Dai YL, Ding YY, Xu WS, Wang SN, Cao YJ, Liang SX, Wang ZF, Chen C, Liu WL. Electroacupuncture activates AMPKα1 to improve learning and memory in the APP/PS1 mouse model of early Alzheimer's disease by regulating hippocampal mitochondrial dynamics. JOURNAL OF INTEGRATIVE MEDICINE 2024:S2095-4964(24)00372-8. [PMID: 39181774 DOI: 10.1016/j.joim.2024.08.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/03/2023] [Accepted: 07/16/2024] [Indexed: 08/27/2024]
Abstract
OBJECTIVE Studies have shown that electroacupuncture (EA) can alleviate cognitive impairments from Alzheimer's disease (AD) by regulating the expression of adenosine monophosphate-activated protein kinase (AMPK), but the specific mechanism involved remains to be elucidated. Therefore, this study explores the potential mechanism by which EA improves cognitive function from the perspective of mitochondrial dynamics. METHODS The four-month-old transgenic mice with amyloid precursor protein (APP)/presenilin 1 (PS1) and AMPKα1-subunit conditional knockout (AMPKα1-cKO) were used for experiments. To evaluate the effects of EA treatment on cognitive function, the T-maze and Morris water maze were used. In addition, chemical exchange saturation transfer, thioflavin staining, transmission electron microscopy, mitochondrial membrane potential, and Western blotting were used to examine the potential mechanisms underlying the effects of EA on APP/PS1 mice. RESULTS Both APP/PS1 mice and AMPKα1-cKO mice exhibited dysfunction in mitochondrial dynamics accompanied by learning and memory impairment. Inactivation of the AMPK/peroxisome proliferator-activated receptor-γ coactivator-1α (PGC-1α) pathway increased pathological amyloid-β (Aβ) deposition and aggravated the dysfunction in mitochondrial dynamics. In addition, EA rescued learning and memory deficits in APP/PS1 mice by activating the AMPK/PGC-1α pathway, specifically by reducing pathological Aβ deposition, normalizing energy metabolism, protecting the structure and function of mitochondria, increasing the levels of mitochondrial fusion proteins, and downregulating the expression of fission proteins. However, the therapeutic effect of EA on cognition in APP/PS1 mice was hindered by AMPKα1 knockout. CONCLUSION The regulation of hippocampal mitochondrial dynamics and reduction in Aβ deposition via the AMPK/PGC-1α pathway are critical for the ability of EA to ameliorate cognitive impairment in APP/PS1 mice. Please cite this article as: Jia WW, Lin HW, Yang MG, Dai YL, Ding YY, Xu WS, Wang SN, Cao YJ, Liang SX, Wang ZF, Chen C, Liu WL. Electroacupuncture activates AMPKα1 to improve learning and memory in the APP/PS1 mouse model of early Alzheimer's disease by regulating hippocampal mitochondrial dynamics. J Integr Med. 2024; Epub ahead of print.
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Affiliation(s)
- Wei-Wei Jia
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, Fujian Province, China
| | - Hua-Wei Lin
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, Fujian Province, China
| | - Min-Guang Yang
- The Institute of Rehabilitation Industry, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, Fujian Province, China
| | - Ya-Ling Dai
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, Fujian Province, China
| | - Yan-Yi Ding
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, Fujian Province, China
| | - Wen-Shan Xu
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, Fujian Province, China
| | - Si-Nuo Wang
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, Fujian Province, China
| | - Ya-Jun Cao
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, Fujian Province, China
| | - Sheng-Xiang Liang
- National-Local Joint Engineering Research Center of Rehabilitation Medicine Technology, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, Fujian Province, China; Traditional Chinese Medicine Rehabilitation Research Center of State Administration of Traditional Chinese Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, Fujian Province, China
| | - Zhi-Fu Wang
- National-Local Joint Engineering Research Center of Rehabilitation Medicine Technology, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, Fujian Province, China; Traditional Chinese Medicine Rehabilitation Research Center of State Administration of Traditional Chinese Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, Fujian Province, China
| | - Cong Chen
- The Institute of Rehabilitation Industry, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, Fujian Province, China.
| | - Wei-Lin Liu
- The Institute of Rehabilitation Industry, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, Fujian Province, China.
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5
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Luikku AJ, Nerg O, Koivisto AM, Hänninen T, Junkkari A, Kemppainen S, Juopperi SP, Sinisalo R, Pesola A, Soininen H, Hiltunen M, Leinonen V, Rauramaa T, Martiskainen H. Deep learning assisted quantitative analysis of Aβ and microglia in patients with idiopathic normal pressure hydrocephalus in relation to cognitive outcome. J Neuropathol Exp Neurol 2024:nlae083. [PMID: 39101555 DOI: 10.1093/jnen/nlae083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/06/2024] Open
Abstract
Neuropathologic changes of Alzheimer disease (AD) including Aβ accumulation and neuroinflammation are frequently observed in the cerebral cortex of patients with idiopathic normal pressure hydrocephalus (iNPH). We created an automated analysis platform to quantify Aβ load and reactive microglia in the vicinity of Aβ plaques and to evaluate their association with cognitive outcome in cortical biopsies of patients with iNPH obtained at the time of shunting. Aiforia Create deep learning software was used on whole slide images of Iba1/4G8 double immunostained frontal cortical biopsies of 120 shunted iNPH patients to identify Iba1-positive microglia somas and Aβ areas, respectively. Dementia, AD clinical syndrome (ACS), and Clinical Dementia Rating Global score (CDR-GS) were evaluated retrospectively after a median follow-up of 4.4 years. Deep learning artificial intelligence yielded excellent (>95%) precision for tissue, Aβ, and microglia somas. Using an age-adjusted model, higher Aβ coverage predicted the development of dementia, the diagnosis of ACS, and more severe memory impairment by CDR-GS whereas measured microglial densities and Aβ-related microglia did not correlate with cognitive outcome in these patients. Therefore, cognitive outcome seems to be hampered by higher Aβ coverage in cortical biopsies in shunted iNPH patients but is not correlated with densities of surrounding microglia.
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Affiliation(s)
- Antti J Luikku
- Institute of Clinical Medicine-Neurosurgery, University of Eastern Finland, Kuopio, Finland
- Neurosurgery of NeuroCenter, Kuopio University Hospital, Kuopio, Finland
| | - Ossi Nerg
- Neurology of NeuroCenter, Kuopio University Hospital, Kuopio, Finland
- Institute of Clinical Medicine-Neurology, University of Eastern Finland, Kuopio, Finland
| | - Anne M Koivisto
- Neurology of NeuroCenter, Kuopio University Hospital, Kuopio, Finland
- Institute of Clinical Medicine-Neurology, University of Eastern Finland, Kuopio, Finland
- Department of Neurosciences, University of Helsinki, Helsinki University Hospital, Helsinki, Finland
- Department of Geriatrics/Rehabilitation and Internal Medicine, University of Helsinki, Helsinki University Hospital, Helsinki, Finland
| | - Tuomo Hänninen
- Neurology of NeuroCenter, Kuopio University Hospital, Kuopio, Finland
- Institute of Clinical Medicine-Neurology, University of Eastern Finland, Kuopio, Finland
| | - Antti Junkkari
- Neurosurgery of NeuroCenter, Kuopio University Hospital, Kuopio, Finland
| | - Susanna Kemppainen
- Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland
| | | | - Rosa Sinisalo
- Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland
| | - Alli Pesola
- Institute of Clinical Medicine-Neurosurgery, University of Eastern Finland, Kuopio, Finland
| | - Hilkka Soininen
- Institute of Clinical Medicine-Neurology, University of Eastern Finland, Kuopio, Finland
| | - Mikko Hiltunen
- Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland
| | - Ville Leinonen
- Institute of Clinical Medicine-Neurosurgery, University of Eastern Finland, Kuopio, Finland
- Neurosurgery of NeuroCenter, Kuopio University Hospital, Kuopio, Finland
| | - Tuomas Rauramaa
- Department of Pathology, Kuopio University Hospital, Kuopio, Finland
- Institute of Clinical Medicine-Pathology, University of Eastern Finland, Kuopio, Finland
| | - Henna Martiskainen
- Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland
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6
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Jack CR, Andrews JS, Beach TG, Buracchio T, Dunn B, Graf A, Hansson O, Ho C, Jagust W, McDade E, Molinuevo JL, Okonkwo OC, Pani L, Rafii MS, Scheltens P, Siemers E, Snyder HM, Sperling R, Teunissen CE, Carrillo MC. Revised criteria for diagnosis and staging of Alzheimer's disease: Alzheimer's Association Workgroup. Alzheimers Dement 2024; 20:5143-5169. [PMID: 38934362 PMCID: PMC11350039 DOI: 10.1002/alz.13859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Revised: 03/21/2024] [Accepted: 04/04/2024] [Indexed: 06/28/2024]
Abstract
The National Institute on Aging and the Alzheimer's Association convened three separate work groups in 2011 and single work groups in 2012 and 2018 to create recommendations for the diagnosis and characterization of Alzheimer's disease (AD). The present document updates the 2018 research framework in response to several recent developments. Defining diseases biologically, rather than based on syndromic presentation, has long been standard in many areas of medicine (e.g., oncology), and is becoming a unifying concept common to all neurodegenerative diseases, not just AD. The present document is consistent with this principle. Our intent is to present objective criteria for diagnosis and staging AD, incorporating recent advances in biomarkers, to serve as a bridge between research and clinical care. These criteria are not intended to provide step-by-step clinical practice guidelines for clinical workflow or specific treatment protocols, but rather serve as general principles to inform diagnosis and staging of AD that reflect current science. HIGHLIGHTS: We define Alzheimer's disease (AD) to be a biological process that begins with the appearance of AD neuropathologic change (ADNPC) while people are asymptomatic. Progression of the neuropathologic burden leads to the later appearance and progression of clinical symptoms. Early-changing Core 1 biomarkers (amyloid positron emission tomography [PET], approved cerebrospinal fluid biomarkers, and accurate plasma biomarkers [especially phosphorylated tau 217]) map onto either the amyloid beta or AD tauopathy pathway; however, these reflect the presence of ADNPC more generally (i.e., both neuritic plaques and tangles). An abnormal Core 1 biomarker result is sufficient to establish a diagnosis of AD and to inform clinical decision making throughout the disease continuum. Later-changing Core 2 biomarkers (biofluid and tau PET) can provide prognostic information, and when abnormal, will increase confidence that AD is contributing to symptoms. An integrated biological and clinical staging scheme is described that accommodates the fact that common copathologies, cognitive reserve, and resistance may modify relationships between clinical and biological AD stages.
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Affiliation(s)
| | - J. Scott Andrews
- Global Evidence & OutcomesTakeda Pharmaceuticals Company LimitedCambridgeMassachusettsUSA
| | - Thomas G. Beach
- Civin Laboratory for NeuropathologyBanner Sun Health Research InstituteSun CityArizonaUSA
| | - Teresa Buracchio
- Office of NeuroscienceU.S. Food and Drug AdministrationSilver SpringMarylandUSA
| | - Billy Dunn
- The Michael J. Fox Foundation for Parkinson's ResearchNew YorkNew YorkUSA
| | - Ana Graf
- NovartisNeuroscience Global Drug DevelopmentBaselSwitzerland
| | - Oskar Hansson
- Department of Clinical Sciences Malmö, Faculty of MedicineLund UniversityLundSweden
- Memory ClinicSkåne University Hospital, MalmöLundSweden
| | - Carole Ho
- DevelopmentDenali TherapeuticsSouth San FranciscoCaliforniaUSA
| | - William Jagust
- School of Public Health and Helen Wills Neuroscience InstituteUniversity of California BerkeleyBerkeleyCaliforniaUSA
| | - Eric McDade
- Department of NeurologyWashington University St. Louis School of MedicineSt. LouisMissouriUSA
| | - Jose Luis Molinuevo
- Department of Global Clinical Development H. Lundbeck A/SExperimental MedicineCopenhagenDenmark
| | - Ozioma C. Okonkwo
- Department of Medicine, Division of Geriatrics and GerontologyUniversity of Wisconsin School of MedicineMadisonWisconsinUSA
| | - Luca Pani
- University of MiamiMiller School of MedicineMiamiFloridaUSA
| | - Michael S. Rafii
- Alzheimer's Therapeutic Research Institute (ATRI)Keck School of Medicine at the University of Southern CaliforniaSan DiegoCaliforniaUSA
| | - Philip Scheltens
- Amsterdam University Medical Center (Emeritus)NeurologyAmsterdamthe Netherlands
| | - Eric Siemers
- Clinical ResearchAcumen PharmaceuticalsZionsvilleIndianaUSA
| | - Heather M. Snyder
- Medical & Scientific Relations DivisionAlzheimer's AssociationChicagoIllinoisUSA
| | - Reisa Sperling
- Department of Neurology, Brigham and Women's HospitalMassachusetts General Hospital, Harvard Medical SchoolBostonMassachusettsUSA
| | - Charlotte E. Teunissen
- Department of Laboratory MedicineAmsterdam UMC, Neurochemistry LaboratoryAmsterdamthe Netherlands
| | - Maria C. Carrillo
- Medical & Scientific Relations DivisionAlzheimer's AssociationChicagoIllinoisUSA
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7
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Chandra S, Vassar R. The role of the gut microbiome in the regulation of astrocytes in Alzheimer's disease. Neurotherapeutics 2024:e00425. [PMID: 39054180 DOI: 10.1016/j.neurot.2024.e00425] [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: 04/01/2024] [Revised: 07/06/2024] [Accepted: 07/11/2024] [Indexed: 07/27/2024] Open
Abstract
Alzheimer's disease (AD) is the most common neurodegenerative disorder and is the most common cause of dementia. AD is characterized pathologically by proteinaceous aggregates composed of amyloid beta (Aβ) and tau as well as progressive neurodegeneration. Concurrently with the buildup of protein aggregates, a strong neuroinflammatory response, in the form of reactive astrocytosis and microgliosis, occurs in the AD brain. It has recently been shown that the gut microbiome (GMB), composed of trillions of bacteria in the human intestine, can regulate both reactive astrocytosis and microgliosis in the context of both amyloidosis and tauopathy. Many studies have implicated microglia in these processes. However, growing evidence suggests that interactions between the GMB and astrocytes have a much larger role than previously thought. In this review, we summarize evidence regarding the gut microbiome in the control of reactive astrocytosis in AD.
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Affiliation(s)
- Sidhanth Chandra
- Ken and Ruth Davee Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA; Medical Scientist Training Program, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA.
| | - Robert Vassar
- Ken and Ruth Davee Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA.
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8
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Panwar A, Rentsendorj A, Jhun M, Cohen RM, Cordner R, Gull N, Pechnick RN, Duvall G, Mardiros A, Golchian D, Schubloom H, Jin LW, Van Dam D, Vermeiren Y, De Reu H, De Deyn PP, Raskatov JA, Black KL, Irvin DK, Williams BA, Wheeler CJ. Antigen-specific age-related memory CD8 T cells induce and track Alzheimer's-like neurodegeneration. Proc Natl Acad Sci U S A 2024; 121:e2401420121. [PMID: 38995966 PMCID: PMC11260139 DOI: 10.1073/pnas.2401420121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Accepted: 05/23/2024] [Indexed: 07/14/2024] Open
Abstract
Cerebral (Aβ) plaque and (pTau) tangle deposition are hallmarks of Alzheimer's disease (AD), yet are insufficient to confer complete AD-like neurodegeneration experimentally. Factors acting upstream of Aβ/pTau in AD remain unknown, but their identification could enable earlier diagnosis and more effective treatments. T cell abnormalities are emerging AD hallmarks, and CD8 T cells were recently found to mediate neurodegeneration downstream of tangle deposition in hereditary neurodegeneration models. The precise impact of T cells downstream of Aβ/pTau, however, appears to vary depending on the animal model. Our prior work suggested that antigen-specific memory CD8 T ("hiT") cells act upstream of Aβ/pTau after brain injury. Here, we examine whether hiT cells influence sporadic AD-like pathophysiology upstream of Aβ/pTau. Examining neuropathology, gene expression, and behavior in our hiT mouse model we show that CD8 T cells induce plaque and tangle-like deposition, modulate AD-related genes, and ultimately result in progressive neurodegeneration with both gross and fine features of sporadic human AD. T cells required Perforin to initiate this pathophysiology, and IFNγ for most gene expression changes and progression to more widespread neurodegenerative disease. Analogous antigen-specific memory CD8 T cells were significantly elevated in the brains of human AD patients, and their loss from blood corresponded to sporadic AD and related cognitive decline better than plasma pTau-217, a promising AD biomarker candidate. We identify an age-related factor acting upstream of Aβ/pTau to initiate AD-like pathophysiology, the mechanisms promoting its pathogenicity, and its relevance to human sporadic AD.
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Affiliation(s)
- Akanksha Panwar
- Department Neurosurgery, Maxine Dunitz Neurosurgical Institute, Cedars-Sinai Medical Center, Los Angeles, CA90048
| | - Altan Rentsendorj
- Department Neurosurgery, Maxine Dunitz Neurosurgical Institute, Cedars-Sinai Medical Center, Los Angeles, CA90048
| | - Michelle Jhun
- Department Neurosurgery, Maxine Dunitz Neurosurgical Institute, Cedars-Sinai Medical Center, Los Angeles, CA90048
| | - Robert M. Cohen
- Department Psychiatry & Behavioral Sciences and Neuroscience Program, Graduate Division of Biological and Biomedical Sciences (GDBBS), Emory University, Atlanta, GA30322
| | - Ryan Cordner
- Department Neurosurgery, Maxine Dunitz Neurosurgical Institute, Cedars-Sinai Medical Center, Los Angeles, CA90048
- Department Biomedical & Translational Sciences, Cedars-Sinai Medical Center, Los Angeles, CA90048
| | - Nicole Gull
- Department Biomedical & Translational Sciences, Cedars-Sinai Medical Center, Los Angeles, CA90048
| | - Robert N. Pechnick
- Department of Basic Medical Sciences, College of Osteopathic Medicine of the Pacific Western University of Health Sciences, Pomona, CA91766
| | - Gretchen Duvall
- Department Neurosurgery, Maxine Dunitz Neurosurgical Institute, Cedars-Sinai Medical Center, Los Angeles, CA90048
| | - Armen Mardiros
- Department Neurosurgery, Maxine Dunitz Neurosurgical Institute, Cedars-Sinai Medical Center, Los Angeles, CA90048
| | - David Golchian
- Department Neurosurgery, Maxine Dunitz Neurosurgical Institute, Cedars-Sinai Medical Center, Los Angeles, CA90048
| | - Hannah Schubloom
- Department Neurosurgery, Maxine Dunitz Neurosurgical Institute, Cedars-Sinai Medical Center, Los Angeles, CA90048
| | - Lee-Way Jin
- Department Medical Pathology and Laboratory Medicine, Laboratory Medicine, Medical Investigation of Neurodevelopmental Disorders (M.I.N.D.) Institute, University of California, Davis, Sacramento, CA95817
| | - Debby Van Dam
- Department of Biomedical Sciences, Institute Born-Bunge, Laboratory of Neurochemistry and Behavior, University of Antwerp, Antwerp2610, Belgium
- Department of Neurology and Alzheimer Research Center, University of Groningen and University Medical Center Groningen, Groningen AB9700, Netherlands
| | - Yannick Vermeiren
- Department of Biomedical Sciences, Institute Born-Bunge, Laboratory of Neurochemistry and Behavior, University of Antwerp, Antwerp2610, Belgium
- Faculty of Medicine & Health Sciences, Department of Translational Neurosciences, University of Antwerp, Antwerp2610, Belgium
- Division of Human Nutrition and Health, Chair Group of Nutritional Biology, Wageningen University & Research, Wageningen AA6700, The Netherlands
| | - Hans De Reu
- Faculty of Medicine and Health Sciences, Vaccine and Infectious Disease Institute, Laboratory of Experimental Hematology, University of Antwerp, Antwerp2610, Belgium
| | - Peter Paul De Deyn
- Department of Biomedical Sciences, Institute Born-Bunge, Laboratory of Neurochemistry and Behavior, University of Antwerp, Antwerp2610, Belgium
- Department of Neurology and Alzheimer Research Center, University of Groningen and University Medical Center Groningen, Groningen AB9700, Netherlands
- Department of Neurology, Memory Clinic of Hospital Network Antwerp, Middelheim and Hoge Beuken, Antwerp BE-2660, Belgium
- Department of Chemistry & Biochemistry, University of California, Santa Cruz, CA95064
| | - Jevgenij A. Raskatov
- Department of Chemistry & Biochemistry, University of California, Santa Cruz, CA95064
| | - Keith L. Black
- Department Neurosurgery, Maxine Dunitz Neurosurgical Institute, Cedars-Sinai Medical Center, Los Angeles, CA90048
| | - Dwain K. Irvin
- Department Neurosurgery, Maxine Dunitz Neurosurgical Institute, Cedars-Sinai Medical Center, Los Angeles, CA90048
- NovAccess Global and StemVax LLC, Cleveland, OH44023
| | - Brian A. Williams
- Transcriptome Function and Technology Program, Department of Biology & Biological Engineering, California Institute of Technology, Pasadena, CA91125
| | - Christopher J. Wheeler
- Department Neurosurgery, Maxine Dunitz Neurosurgical Institute, Cedars-Sinai Medical Center, Los Angeles, CA90048
- Department of Chemistry & Biochemistry, University of California, Santa Cruz, CA95064
- NovAccess Global and StemVax LLC, Cleveland, OH44023
- Society for Brain Mapping & Therapeutics, World Brain Mapping Foundation, Pacific Palisades, CA90272
- T-Neuro Pharma, Inc., Albuquerque, NM87123
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9
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Liu S, Luo X, Chong JSX, Jiaerken Y, Youn SH, Zhang M, Zhou JH. Brain structure, amyloid, and behavioral features for predicting clinical progression in subjective cognitive decline. Hum Brain Mapp 2024; 45:e26765. [PMID: 38958401 PMCID: PMC11220833 DOI: 10.1002/hbm.26765] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 05/28/2024] [Accepted: 06/10/2024] [Indexed: 07/04/2024] Open
Abstract
As a potential preclinical stage of Alzheimer's dementia, subjective cognitive decline (SCD) reveals a higher risk of future cognitive decline and conversion to dementia. However, it has not been clear whether SCD status increases the clinical progression of older adults in the context of amyloid deposition, cerebrovascular disease (CeVD), and psychiatric symptoms. We identified 99 normal controls (NC), 15 SCD individuals who developed mild cognitive impairment in the next 2 years (P-SCD), and 54 SCD individuals who did not (S-SCD) from ADNI database with both baseline and 2-year follow-up data. Total white matter hyperintensity (WMH), WMH in deep (DWMH) and periventricular (PWMH) regions, and voxel-wise grey matter volumes were compared among groups. Furthermore, using structural equation modelling method, we constructed path models to explore SCD-related brain changes longitudinally and to determine whether baseline SCD status, age, and depressive symptoms affect participants' clinical outcomes. Both SCD groups showed higher baseline amyloid PET SUVR, baseline PWMH volumes, and larger increase of PWMH volumes over time than NC. In contrast, only P-SCD had higher baseline DWMH volumes and larger increase of DWMH volumes over time than NC. No longitudinal differences in grey matter volume and amyloid was observed among NC, S-SCD, and P-SCD. Our path models demonstrated that SCD status contributed to future WMH progression. Further, baseline SCD status increases the risk of future cognitive decline, mediated by PWMH; baseline depressive symptoms directly contribute to clinical outcomes. In conclusion, both S-SCD and P-SCD exhibited more severe CeVD than NC. The CeVD burden increase was more pronounced in P-SCD. In contrast with the direct association of depressive symptoms with dementia severity progression, the effects of SCD status on future cognitive decline may manifest via CeVD pathologies. Our work highlights the importance of multi-modal longitudinal designs in understanding the SCD trajectory heterogeneity, paving the way for stratification and early intervention in the preclinical stage. PRACTITIONER POINTS: Both S-SCD and P-SCD exhibited more severe CeVD at baseline and a larger increase of CeVD burden compared to NC, while the burden was more pronounced in P-SCD. Baseline SCD status increases the risk of future PWMH and DWMH volume accumulation, mediated by baseline PWMH and DWMH volumes, respectively. Baseline SCD status increases the risk of future cognitive decline, mediated by baseline PWMH, while baseline depression status directly contributes to clinical outcome.
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Grants
- U01 AG024904 NIA NIH HHS
- W81XWH-12-2-0012 DoD Alzheimer's Disease Neuroimaging Initiative (Department of Defense)
- A20G8b0102 Research, Innovation and Enterprise (RIE) 2020 Advanced Manufacturing and Engineering (AME) Programmatic Fund (Agency for Science, Technology and Research (A*STAR), Singapore)
- NMRC/OFLCG19May-0035 National Medical Research Council, Singapore
- NMRC/CIRG/1485/2018 National Medical Research Council, Singapore
- NMRC/CSA-SI/0007/2016 National Medical Research Council, Singapore
- NMRC/MOH-00707-01 National Medical Research Council, Singapore
- NMRC/CG/435M009/2017-NUH/NUHS National Medical Research Council, Singapore
- CIRG21nov-0007 National Medical Research Council, Singapore
- HLCA23Feb-0004 National Medical Research Council, Singapore
- Yong Loo Lin School of Medicine Research Core Funding (National University of Singapore, Singapore)
- 82271936 National Natural Science Foundation of China
- 2022ZQ057 Zhejiang Provincial Administration of Traditional Chinese Medicine - Youth Talent Fund Project
- MOE-T2EP40120-0007 Ministry of Education, Singapore
- T2EP2-0223-0025 Ministry of Education, Singapore
- MOE-T2EP20220-0001 Ministry of Education, Singapore
- Alzheimer's Disease Neuroimaging Initiative (National Institutes of Health)
- DoD Alzheimer's Disease Neuroimaging Initiative (Department of Defense)
- National Medical Research Council, Singapore
- National Natural Science Foundation of China
- Ministry of Education, Singapore
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Affiliation(s)
- Siwei Liu
- Centre for Sleep and CognitionCentre for Translational Magnetic Resonance Research, Yong Loo Lin School of MedicineNational University of SingaporeSingaporeSingapore
- Human Potential Translational Research ProgramDepartment of MedicineNational University of SingaporeSingaporeSingapore
| | - Xiao Luo
- Department of Radiology, Second Affiliated HospitalZhejiang University School of MedicineHangzhouChina
| | - Joanna Su Xian Chong
- Centre for Sleep and CognitionCentre for Translational Magnetic Resonance Research, Yong Loo Lin School of MedicineNational University of SingaporeSingaporeSingapore
- Human Potential Translational Research ProgramDepartment of MedicineNational University of SingaporeSingaporeSingapore
| | - Yeerfan Jiaerken
- Department of Radiology, Second Affiliated HospitalZhejiang University School of MedicineHangzhouChina
| | - Shim Hee Youn
- Centre for Sleep and CognitionCentre for Translational Magnetic Resonance Research, Yong Loo Lin School of MedicineNational University of SingaporeSingaporeSingapore
- Human Potential Translational Research ProgramDepartment of MedicineNational University of SingaporeSingaporeSingapore
| | - Minming Zhang
- Department of Radiology, Second Affiliated HospitalZhejiang University School of MedicineHangzhouChina
| | - Juan Helen Zhou
- Centre for Sleep and CognitionCentre for Translational Magnetic Resonance Research, Yong Loo Lin School of MedicineNational University of SingaporeSingaporeSingapore
- Human Potential Translational Research ProgramDepartment of MedicineNational University of SingaporeSingaporeSingapore
- Department of Electrical and Computer EngineeringIntegrative Sciences and Engineering Programme (ISEP), NUS Graduate SchoolNational University of SingaporeSingaporeSingapore
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10
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Shippy DC, Evered AH, Ulland TK. Ketone body metabolism and the NLRP3 inflammasome in Alzheimer's disease. Immunol Rev 2024. [PMID: 38989642 DOI: 10.1111/imr.13365] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/12/2024]
Abstract
Alzheimer's disease (AD) is a degenerative brain disorder and the most common form of dementia. AD pathology is characterized by senile plaques and neurofibrillary tangles (NFTs) composed of amyloid-β (Aβ) and hyperphosphorylated tau, respectively. Neuroinflammation has been shown to drive Aβ and tau pathology, with evidence suggesting the nod-like receptor family pyrin domain containing 3 (NLRP3) inflammasome as a key pathway in AD pathogenesis. NLRP3 inflammasome activation in microglia, the primary immune effector cells of the brain, results in caspase-1 activation and secretion of IL-1β and IL-18. Recent studies have demonstrated a dramatic interplay between the metabolic state and effector functions of immune cells. Microglial metabolism in AD is of particular interest, as ketone bodies (acetone, acetoacetate (AcAc), and β-hydroxybutyrate (BHB)) serve as an alternative energy source when glucose utilization is compromised in the brain of patients with AD. Furthermore, reduced cerebral glucose metabolism concomitant with increased BHB levels has been demonstrated to inhibit NLRP3 inflammasome activation. Here, we review the role of the NLRP3 inflammasome and microglial ketone body metabolism in AD pathogenesis. We also highlight NLRP3 inflammasome inhibition by several ketone body therapies as a promising new treatment strategy for AD.
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Affiliation(s)
- Daniel C Shippy
- Department of Pathology and Laboratory Medicine, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin, USA
| | - Abigail H Evered
- Department of Pathology and Laboratory Medicine, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin, USA
- Cellular and Molecular Pathology Graduate Program, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin, USA
| | - Tyler K Ulland
- Department of Pathology and Laboratory Medicine, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin, USA
- Wisconsin Alzheimer's Disease Research Center, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin, USA
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11
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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 oligomeric, citrullinated, and other tau isoforms in early and advanced AD and relations to disease status. Acta Neuropathol 2024; 148:3. [PMID: 38980423 PMCID: PMC11233395 DOI: 10.1007/s00401-024-02760-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Revised: 06/07/2024] [Accepted: 06/26/2024] [Indexed: 07/10/2024]
Abstract
This study investigates various pathological tau isoforms in the retina of individuals with early and advanced Alzheimer's disease (AD), exploring their connection with disease status. Retinal cross-sections from predefined superior-temporal and inferior-temporal subregions and corresponding brains from neuropathologically confirmed AD patients with a clinical diagnosis of either mild cognitive impairment (MCI) or dementia (n = 45) were compared with retinas from age- and sex-matched individuals with normal cognition (n = 30) and non-AD dementia (n = 4). Retinal tau isoforms, including tau tangles, paired helical filament of tau (PHF-tau), oligomeric-tau (Oligo-tau), hyperphosphorylated-tau (p-tau), and citrullinated-tau (Cit-tau), were stereologically analyzed by immunohistochemistry and Nanostring GeoMx digital spatial profiling, and correlated with clinical and neuropathological outcomes. Our data indicated significant increases in various AD-related pretangle tau isoforms, especially p-tau (AT8, 2.9-fold, pS396-tau, 2.6-fold), Cit-tau at arginine residue 209 (CitR209-tau; 4.1-fold), and Oligo-tau (T22+, 9.2-fold), as well as pretangle and mature tau tangle forms like MC-1-positive (1.8-fold) and PHF-tau (2.3-fold), in AD compared to control retinas. MCI retinas also exhibited substantial increases in Oligo-tau (5.2-fold), CitR209-tau (3.5-fold), and pS396-tau (2.2-fold). Nanostring GeoMx analysis confirmed elevated retinal p-tau at epitopes: Ser214 (2.3-fold), Ser396 (2.6-fold), Ser404 (2.4-fold), and Thr231 (1.8-fold), particularly in MCI patients. Strong associations were found between retinal tau isoforms versus brain pathology and cognitive status: a) retinal Oligo-tau vs. Braak stage, neurofibrillary tangles (NFTs), and CDR cognitive scores (ρ = 0.63-0.71), b) retinal PHF-tau vs. neuropil threads (NTs) and ABC scores (ρ = 0.69-0.71), and c) retinal pS396-tau vs. NTs, NFTs, and ABC scores (ρ = 0.67-0.74). Notably, retinal Oligo-tau strongly correlated with retinal Aβ42 and arterial Aβ40 forms (r = 0.76-0.86). Overall, this study identifies and quantifies diverse retinal tau isoforms in MCI and AD patients, underscoring their link to brain pathology and cognition. These findings advocate for further exploration of retinal tauopathy biomarkers to facilitate AD detection and monitoring via noninvasive retinal imaging.
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Affiliation(s)
- Haoshen Shi
- Department of Neurosurgery, Maxine Dunitz Neurosurgical Research Institute, Cedars-Sinai Medical Center, 127 S. San Vicente Blvd., A6212, Los Angeles, CA, 90048, USA
| | - Nazanin Mirzaei
- Department of Neurosurgery, Maxine Dunitz Neurosurgical Research Institute, Cedars-Sinai Medical Center, 127 S. San Vicente Blvd., A6212, Los Angeles, CA, 90048, USA
| | - Yosef Koronyo
- Department of Neurosurgery, Maxine Dunitz Neurosurgical Research Institute, Cedars-Sinai Medical Center, 127 S. San Vicente Blvd., A6212, Los Angeles, CA, 90048, USA
| | - Miyah R Davis
- Department of Neurosurgery, Maxine Dunitz Neurosurgical Research Institute, Cedars-Sinai Medical Center, 127 S. San Vicente Blvd., A6212, Los Angeles, CA, 90048, USA
| | - Edward Robinson
- Department of Neurosurgery, Maxine Dunitz Neurosurgical Research Institute, Cedars-Sinai Medical Center, 127 S. San Vicente Blvd., A6212, Los Angeles, CA, 90048, USA
| | - Gila M Braun
- Department of Neurosurgery, Maxine Dunitz Neurosurgical Research Institute, Cedars-Sinai Medical Center, 127 S. San Vicente Blvd., A6212, Los Angeles, CA, 90048, USA
| | - Ousman Jallow
- Department of Neurosurgery, Maxine Dunitz Neurosurgical Research Institute, Cedars-Sinai Medical Center, 127 S. San Vicente Blvd., A6212, Los Angeles, CA, 90048, USA
| | - Altan Rentsendorj
- Department of Neurosurgery, Maxine Dunitz Neurosurgical Research Institute, Cedars-Sinai Medical Center, 127 S. San Vicente Blvd., A6212, Los Angeles, CA, 90048, USA
| | - V Krishnan Ramanujan
- Department of Pathology and Laboratory Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Justyna Fert-Bober
- Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Advanced Clinical Biosystems Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Andrei A Kramerov
- Eye Program, Board of Governors Regenerative Medicine Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Division of Applied Cell Biology and Physiology, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Alexander V Ljubimov
- Department of Neurosurgery, Maxine Dunitz Neurosurgical Research Institute, Cedars-Sinai Medical Center, 127 S. San Vicente Blvd., A6212, Los Angeles, CA, 90048, USA
- Eye Program, Board of Governors Regenerative Medicine Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Division of Applied Cell Biology and Physiology, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Lon S Schneider
- Departments of Psychiatry and the Behavioral Sciences and Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Warren G Tourtellotte
- Department of Neurosurgery, Maxine Dunitz Neurosurgical Research Institute, Cedars-Sinai Medical Center, 127 S. San Vicente Blvd., A6212, Los Angeles, CA, 90048, USA
- Department of Pathology and Laboratory Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Division of Applied Cell Biology and Physiology, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Pharmaceutical Sciences, College of Pharmacy, University of South Florida, Tampa, FL, USA
| | - Debra Hawes
- Department of Pathology Program in Neuroscience, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Julie A Schneider
- Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Keith L Black
- Department of Neurosurgery, Maxine Dunitz Neurosurgical Research Institute, Cedars-Sinai Medical Center, 127 S. San Vicente Blvd., A6212, Los Angeles, CA, 90048, USA
| | - Rakez Kayed
- Mitchell Center for Neurodegenerative Diseases, University of Texas Medical Branch, Galveston, TX, USA
- Departments of Neurology, Neuroscience, and Cell Biology, University of Texas Medical Branch, Galveston, TX, USA
| | - Maj-Linda B Selenica
- Sanders-Brown Center On Aging, Department of Neuroscience, College of Medicine, University of Kentucky, Lexington, KY, USA
- Department of Pharmaceutical Sciences, College of Pharmacy, University of South Florida, Tampa, FL, USA
| | - Daniel C Lee
- Sanders-Brown Center On Aging, Department of Neuroscience, College of Medicine, University of Kentucky, Lexington, KY, USA
- Department of Pharmaceutical Sciences, College of Pharmacy, University of South Florida, Tampa, FL, USA
| | - Dieu-Trang Fuchs
- Department of Neurosurgery, Maxine Dunitz Neurosurgical Research Institute, Cedars-Sinai Medical Center, 127 S. San Vicente Blvd., A6212, Los Angeles, CA, 90048, USA
| | - Maya Koronyo-Hamaoui
- Department of Neurosurgery, Maxine Dunitz Neurosurgical Research Institute, Cedars-Sinai Medical Center, 127 S. San Vicente Blvd., A6212, Los Angeles, CA, 90048, USA.
- Division of Applied Cell Biology and Physiology, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
- Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
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12
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Gaikwad S, Puangmalai N, Sonawane M, Montalbano M, Price R, Iyer MS, Ray A, Moreno S, Kayed R. Nasal tau immunotherapy clears intracellular tau pathology and improves cognitive functions in aged tauopathy mice. Sci Transl Med 2024; 16:eadj5958. [PMID: 38959324 DOI: 10.1126/scitranslmed.adj5958] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Accepted: 06/12/2024] [Indexed: 07/05/2024]
Abstract
Pathological tau aggregates cause cognitive decline in neurodegenerative tauopathies, including Alzheimer's disease (AD). These aggregates are prevalent within intracellular compartments. Current tau immunotherapies have shown limited efficacy in clearing intracellular tau aggregates and improving cognition in clinical trials. In this study, we developed toxic tau conformation-specific monoclonal antibody-2 (TTCM2), which selectively recognized pathological tau aggregates in brain tissues from patients with AD, dementia with Lewy bodies (DLB), and progressive supranuclear palsy (PSP). TTCM2 potently inhibited tau-seeding activity, an essential mechanism underlying tauopathy progression. To effectively target intracellular tau aggregates and ensure rapid delivery to the brain, TTCM2 was loaded in micelles (TTCM2-ms) and administered through the intranasal route. We found that intranasally administered TTCM2-ms efficiently entered the brain in hTau-tauopathy mice, targeting pathological tau in intracellular compartments. Moreover, a single intranasal dose of TTCM2-ms effectively cleared pathological tau, elevated synaptic proteins, and improved cognitive functions in aged tauopathy mice. Mechanistic studies revealed that TTCM2-ms cleared intracellular, synaptic, and seed-competent tau aggregates through tripartite motif-containing 21 (TRIM21), an intracellular antibody receptor and E3 ubiquitin ligase known to facilitate proteasomal degradation of cytosolic antibody-bound proteins. TRIM21 was found to be essential for TTCM2-ms-mediated clearance of tau pathology. Our study collectively provides evidence of the effectiveness of nasal tau immunotherapy in targeting and clearing intracellular tau pathology through TRIM21 and enhancing cognition in aged tauopathy mice. This study could be valuable in designing effective tau immunotherapies for AD and other tauopathies.
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Affiliation(s)
- Sagar Gaikwad
- Mitchell Center for Neurodegenerative Diseases, University of Texas Medical Branch, Galveston, TX 77555, USA
- Department of Neurology, University of Texas Medical Branch, Galveston, TX 77555, USA
| | - Nicha Puangmalai
- Mitchell Center for Neurodegenerative Diseases, University of Texas Medical Branch, Galveston, TX 77555, USA
- Department of Neurology, University of Texas Medical Branch, Galveston, TX 77555, USA
| | - Minal Sonawane
- Mitchell Center for Neurodegenerative Diseases, University of Texas Medical Branch, Galveston, TX 77555, USA
- Department of Neurology, University of Texas Medical Branch, Galveston, TX 77555, USA
| | - Mauro Montalbano
- Mitchell Center for Neurodegenerative Diseases, University of Texas Medical Branch, Galveston, TX 77555, USA
- Department of Neurology, University of Texas Medical Branch, Galveston, TX 77555, USA
| | - Rachel Price
- Department of Science, University "Roma Tre," Viale G. Marconi 446 00146 Rome, Italy
| | | | | | - Sandra Moreno
- Department of Science, University "Roma Tre," Viale G. Marconi 446 00146 Rome, Italy
| | - Rakez Kayed
- Mitchell Center for Neurodegenerative Diseases, University of Texas Medical Branch, Galveston, TX 77555, USA
- Department of Neurology, University of Texas Medical Branch, Galveston, TX 77555, USA
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13
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Ye J, Wan H, Chen S, Liu GP. Targeting tau in Alzheimer's disease: from mechanisms to clinical therapy. Neural Regen Res 2024; 19:1489-1498. [PMID: 38051891 PMCID: PMC10883484 DOI: 10.4103/1673-5374.385847] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 08/16/2023] [Indexed: 12/07/2023] Open
Abstract
ABSTRACT Alzheimer's disease is the most prevalent neurodegenerative disease affecting older adults. Primary features of Alzheimer's disease include extracellular aggregation of amyloid-β plaques and the accumulation of neurofibrillary tangles, formed by tau protein, in the cells. While there are amyloid-β-targeting therapies for the treatment of Alzheimer's disease, these therapies are costly and exhibit potential negative side effects. Mounting evidence suggests significant involvement of tau protein in Alzheimer's disease-related neurodegeneration. As an important microtubule-associated protein, tau plays an important role in maintaining the stability of neuronal microtubules and promoting axonal growth. In fact, clinical studies have shown that abnormal phosphorylation of tau protein occurs before accumulation of amyloid-β in the brain. Various therapeutic strategies targeting tau protein have begun to emerge, and are considered possible methods to prevent and treat Alzheimer's disease. Specifically, abnormalities in post-translational modifications of the tau protein, including aberrant phosphorylation, ubiquitination, small ubiquitin-like modifier (SUMO)ylation, acetylation, and truncation, contribute to its microtubule dissociation, misfolding, and subcellular missorting. This causes mitochondrial damage, synaptic impairments, gliosis, and neuroinflammation, eventually leading to neurodegeneration and cognitive deficits. This review summarizes the recent findings on the underlying mechanisms of tau protein in the onset and progression of Alzheimer's disease and discusses tau-targeted treatment of Alzheimer's disease.
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Affiliation(s)
- Jinwang Ye
- Shenzhen Key Laboratory of Marine Biotechnology and Ecology, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, Guangdong Province, China
| | - Huali Wan
- Department of Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong Province, China
| | - Sihua Chen
- Shenzhen Key Laboratory of Marine Biotechnology and Ecology, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, Guangdong Province, China
| | - Gong-Ping Liu
- Co-innovation Center of Neurodegeneration, Nantong University, Nantong, Jiangsu Province, China
- Department of Pathophysiology, School of Basic Medicine and the Collaborative Innovation Center for Brain Science, Key Laboratory of Ministry of Education of China and Hubei Province for Neurological Disorders, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
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14
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Abdullah M, Ruan Z, Ikezu S, Ikezu T. P2RX7 plays a critical role in extracellular vesicle-mediated secretion of pathogenic molecules from microglia and astrocytes. JOURNAL OF EXTRACELLULAR BIOLOGY 2024; 3:e155. [PMID: 38947879 PMCID: PMC11212328 DOI: 10.1002/jex2.155] [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] [Received: 02/01/2024] [Revised: 04/08/2024] [Accepted: 04/23/2024] [Indexed: 07/02/2024]
Abstract
Extracellular vesicle (EV) secretion is mediated by purinergic receptor P2X7 (P2RX7), an ATP-gated cation channel highly expressed in microglia. We have previously shown that administration of GSK1482160, a P2RX7 selective inhibitor, suppresses EV secretion from murine microglia and prevents tauopathy development, leading to the recovery of the hippocampal function in PS19 mice, expressing P301S tau mutant. It is yet unknown, however, whether the effect of GSK1482160 on EV secretion from glial cells is specifically regulated through P2RX7. Here we tested GSK1482160 on primary microglia and astrocytes isolated from C57BL/6 (WT) and P2rx7-/- mice and evaluated their EV secretion and phagocytotic activity of aggregated human tau (hTau) under ATP stimulation. GSK1482160 treatment and deletion of P2rx7 significantly reduced secretion of small and large EVs in microglia and astrocytes in both ATP stimulated or unstimulated condition as determined by nanoparticle tracking analysis, CD9 ELISA and immunoblotting of Tsg101 and Flotilin 1 using isolated EVs. GSK1482160 treatment had no effect on EV secretion from P2rx7 -/- microglia while we observed significant reduction in the secretion of small EVs from P2rx7 -/- astrocytes, suggesting its specific targeting of P2RX7 in EV secretion except small EV secretion from astrocytes. Finally, deletion of P2rx7 suppressed IL-1β secretion and phagocytosed misfolded tau from both microglia and astrocytes. Together, these findings show that GSK1482160 suppresses EV secretion from microglia and astrocytes in P2RX7-dependment manner, and P2RX7 critically regulates secretion of IL-1β and misfolded hTau, demonstrating as the viable target of suppressing EV-mediated neuroinflammation and tau propagation.
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Affiliation(s)
| | - Zhi Ruan
- Department of NeuroscienceMayo Clinic FloridaJacksonvilleFloridaUSA
| | - Seiko Ikezu
- Department of NeuroscienceMayo Clinic FloridaJacksonvilleFloridaUSA
| | - Tsuneya Ikezu
- Department of NeuroscienceMayo Clinic FloridaJacksonvilleFloridaUSA
- Regenerative Science Graduate ProgramMayo Clinic College of Medicine and ScienceJacksonvilleFloridaUSA
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15
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Cushing SD, Moseley SC, Stimmell AC, Schatschneider C, Wilber AA. Rescuing impaired hippocampal-cortical interactions and spatial reorientation learning and memory during sleep in a mouse model of Alzheimer's disease using hippocampal 40 Hz stimulation. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.20.599921. [PMID: 38979221 PMCID: PMC11230253 DOI: 10.1101/2024.06.20.599921] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/10/2024]
Abstract
In preclinical Alzheimer's disease (AD), spatial learning and memory is impaired. We reported similar impairments in 3xTg-AD mice on a virtual maze (VM) spatial-reorientation-task that requires using landmarks to navigate. Hippocampal (HPC)-cortical dysfunction during sleep (important for memory consolidation) is a potential mechanism for memory impairments in AD. We previously found deficits in HPC-cortical coordination during sleep coinciding with VM impairments the next day. Some forms of 40 Hz stimulation seem to clear AD pathology in mice, and improve functional connectivity in AD patients. Thus, we implanted a recording array targeting parietal cortex (PC) and HPC to assess HPC-PC coordination, and an optical fiber targeting HPC for 40 Hz or sham optogenetic stimulation in 3xTg/PV cre mice. We assessed PC delta waves (DW) and HPC sharp wave ripples (SWRs). In sham mice, SWR-DW cross-correlations were reduced, similar to 3xTg-AD mice. In 40 Hz mice, this phase-locking was rescued, as was performance on the VM. However, rescued HPC-PC coupling no longer predicted performance as in NonTg animals. Instead, DWs and SWRs independently predicted performance in 40 Hz mice. Thus, 40 Hz stimulation of HPC rescued functional interactions in the HPC-PC network, and rescued impairments in spatial navigation, but did not rescue the correlation between HPC-PC coordination during sleep and learning and memory. Together this pattern of results could inform AD treatment timing by suggesting that despite applying 40 Hz stimulation before significant tau and amyloid aggregation, pathophysiological processes led to brain changes that were not fully reversed even though cognition was recovered. Significance Statement One of the earliest symptoms of Alzheimer's disease (AD) is getting lost in space or experiencing deficits in spatial navigation, which involve navigation computations as well as learning and memory. We investigated cross brain region interactions supporting memory formation as a potential causative factor of impaired spatial learning and memory in AD. To assess this relationship between AD pathophysiology, brain changes, and behavioral alterations, we used a targeted approach for clearing amyloid beta and tau to rescue functional interactions in the brain. This research strongly connects brain activity patterns during sleep to tau and amyloid accumulation, and will aid in understanding the mechanisms underlying cognitive dysfunction in AD. Furthermore, the results offer insight for improving early identification and treatment strategies.
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16
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Earnest T, Bani A, Ha SM, Hobbs DA, Kothapalli D, Yang B, Lee JJ, Benzinger TLS, Gordon BA, Sotiras A. Data-driven decomposition and staging of flortaucipir uptake in Alzheimer's disease. Alzheimers Dement 2024; 20:4002-4019. [PMID: 38683905 PMCID: PMC11180875 DOI: 10.1002/alz.13769] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Revised: 02/06/2024] [Accepted: 02/06/2024] [Indexed: 05/02/2024]
Abstract
INTRODUCTION Previous approaches pursuing in vivo staging of tau pathology in Alzheimer's disease (AD) have typically relied on neuropathologically defined criteria. In using predefined systems, these studies may miss spatial deposition patterns which are informative of disease progression. METHODS We selected discovery (n = 418) and replication (n = 132) cohorts with flortaucipir imaging. Non-negative matrix factorization (NMF) was applied to learn tau covariance patterns and develop a tau staging system. Flortaucipir components were also validated by comparison with amyloid burden, gray matter loss, and the expression of AD-related genes. RESULTS We found eight flortaucipir covariance patterns which were reproducible and overlapped with relevant gene expression maps. Tau stages were associated with AD severity as indexed by dementia status and neuropsychological performance. Comparisons of flortaucipir uptake with amyloid and atrophy also supported our model of tau progression. DISCUSSION Data-driven decomposition of flortaucipir uptake provides a novel framework for tau staging which complements existing systems. HIGHLIGHTS NMF reveals patterns of tau deposition in AD. Data-driven staging of flortaucipir tracks AD severity. Learned flortaucipir patterns overlap with AD-related gene expression.
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Affiliation(s)
- Tom Earnest
- Mallinckrodt Institute of RadiologyWashington University School of Medicine in St LouisSaint LouisMissouriUSA
| | - Abdalla Bani
- Mallinckrodt Institute of RadiologyWashington University School of Medicine in St LouisSaint LouisMissouriUSA
| | - Sung Min Ha
- Mallinckrodt Institute of RadiologyWashington University School of Medicine in St LouisSaint LouisMissouriUSA
| | - Diana A. Hobbs
- Mallinckrodt Institute of RadiologyWashington University School of Medicine in St LouisSaint LouisMissouriUSA
| | - Deydeep Kothapalli
- Mallinckrodt Institute of RadiologyWashington University School of Medicine in St LouisSaint LouisMissouriUSA
| | - Braden Yang
- Mallinckrodt Institute of RadiologyWashington University School of Medicine in St LouisSaint LouisMissouriUSA
| | - John J. Lee
- Mallinckrodt Institute of RadiologyWashington University School of Medicine in St LouisSaint LouisMissouriUSA
| | - Tammie L. S. Benzinger
- Mallinckrodt Institute of RadiologyWashington University School of Medicine in St LouisSaint LouisMissouriUSA
| | - Brian A. Gordon
- Mallinckrodt Institute of RadiologyWashington University School of Medicine in St LouisSaint LouisMissouriUSA
| | - Aristeidis Sotiras
- Mallinckrodt Institute of RadiologyWashington University School of Medicine in St LouisSaint LouisMissouriUSA
- Institute for Informatics, Data Science & BiostatisticsWashington University School of Medicine in St LouisSaint LouisMissouriUSA
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17
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Bransby L, Yassi N, Rosenich E, Buckley R, Li QX, Maruff P, Pase M, Lim YY. Associations between multidomain modifiable dementia risk factors with AD biomarkers and cognition in middle-aged and older adults. Neurobiol Aging 2024; 138:63-71. [PMID: 38537555 DOI: 10.1016/j.neurobiolaging.2024.02.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 02/26/2024] [Accepted: 02/28/2024] [Indexed: 04/09/2024]
Abstract
This study aimed to determine associations between modifiable dementia risk factors (MDRF), across domains mood symptomatology, lifestyle behaviors, cardiovascular conditions, cognitive/social engagement, sleep disorders/symptomatology, with cognition, beta-amyloid (Aβ) and tau, and brain volume. Middle-aged/older adults (n=82) enrolled in a sub-study of the Healthy Brain Project completed self-report questionnaires and a neuropsychological battery. Cerebrospinal fluid levels of Aβ 1-42, total tau (t-tau), and phosphorylated tau (p-tau181) (Roche Elecsys), and MRI markers of hippocampal volume and total brain volume were obtained. Participants were classified as no/single domain risk (≤1 domains) or multidomain risk (≥2 domains). Compared to the no/single domain risk group, the multidomain risk group performed worse on the Preclinical Alzheimer's Cognitive Composite (d=0.63, p=.005), and Executive Function (d=0.50, p=.016), and had increased p-tau181 (d=0.47, p=.042) and t-tau (d=0.54, p=.021). In middle-aged/older adults, multidomain MDRFs were related to increases in tau and worse cognition, but not Aβ or brain volume. Findings suggest that increases in AD biomarkers are apparent in midlife, particularly for individuals with greater burden, or variety of MDRFs.
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Affiliation(s)
- Lisa Bransby
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, Victoria, Australia
| | - Nawaf Yassi
- Department of Medicine and Neurology, Melbourne Brain Centre at the Royal Melbourne Hospital, University of Melbourne, Parkville, Victoria, Australia; Population Health and Immunity Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
| | - Emily Rosenich
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, Victoria, Australia
| | - Rachel Buckley
- Melbourne School of Psychological Sciences, University of Melbourne, Parkville, Victoria, Australia; Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA; Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
| | - Qiao-Xin Li
- Florey Institute of Neuroscience and Mental Health, Parkville, Victoria, Australia
| | - Paul Maruff
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, Victoria, Australia; Florey Institute of Neuroscience and Mental Health, Parkville, Victoria, Australia; Cogstate Ltd., Melbourne, Victoria, Australia
| | - Matthew Pase
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, Victoria, Australia; Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Yen Ying Lim
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, Victoria, Australia.
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18
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Vanderlip CR, Stark CE. Digital cognitive assessments as low-burden markers for predicting future cognitive decline and tau accumulation across the Alzheimer's spectrum. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.23.595638. [PMID: 38826456 PMCID: PMC11142177 DOI: 10.1101/2024.05.23.595638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2024]
Abstract
Digital cognitive assessments, particularly those that can be done at home, present as low burden biomarkers for participants and patients alike, but their effectiveness in diagnosis of Alzheimer's or predicting its trajectory is still unclear. Here, we assessed what utility or added value these digital cognitive assessments provide for identifying those at high risk for cognitive decline. We analyzed >500 ADNI participants who underwent a brief digital cognitive assessment and Aβ/tau PET scans, examining their ability to distinguish cognitive status and predict cognitive decline. Performance on the digital cognitive assessment were superior to both cortical Aβ and entorhinal tau in detecting mild cognitive impairment and future cognitive decline, with mnemonic discrimination deficits emerging as the most critical measure for predicting decline and future tau accumulation. Digital assessments are effective in identifying at-risk individuals, supporting their utility as low-burden tools for early Alzheimer's detection and monitoring.
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Affiliation(s)
- Casey R. Vanderlip
- Department of Neurobiology and Behavior, 1424 Biological Sciences III Irvine, University of California Irvine, Irvine, CA, 92697 USA
| | - Craig E.L. Stark
- Department of Neurobiology and Behavior, 1424 Biological Sciences III Irvine, University of California Irvine, Irvine, CA, 92697 USA
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19
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Valdez-Gaxiola CA, Rosales-Leycegui F, Gaxiola-Rubio A, Moreno-Ortiz JM, Figuera LE. Early- and Late-Onset Alzheimer's Disease: Two Sides of the Same Coin? Diseases 2024; 12:110. [PMID: 38920542 PMCID: PMC11202866 DOI: 10.3390/diseases12060110] [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: 03/29/2024] [Revised: 05/04/2024] [Accepted: 05/18/2024] [Indexed: 06/27/2024] Open
Abstract
Early-onset Alzheimer's disease (EOAD), defined as Alzheimer's disease onset before 65 years of age, has been significantly less studied than the "classic" late-onset form (LOAD), although EOAD often presents with a more aggressive disease course, caused by variants in the APP, PSEN1, and PSEN2 genes. EOAD has significant differences from LOAD, including encompassing diverse phenotypic manifestations, increased genetic predisposition, and variations in neuropathological burden and distribution. Phenotypically, EOAD can be manifested with non-amnestic variants, sparing the hippocampi with increased tau burden. The aim of this article is to review the different genetic bases, risk factors, pathological mechanisms, and diagnostic approaches between EOAD and LOAD and to suggest steps to further our understanding. The comprehension of the monogenic form of the disease can provide valuable insights that may serve as a roadmap for understanding the common form of the disease.
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Affiliation(s)
- César A. Valdez-Gaxiola
- División de Genética, Centro de Investigación Biomédica de Occidente, IMSS, Guadalajara 44340, Jalisco, Mexico; (C.A.V.-G.); (F.R.-L.)
- Doctorado en Genética Humana, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara 44340, Jalisco, Mexico
| | - Frida Rosales-Leycegui
- División de Genética, Centro de Investigación Biomédica de Occidente, IMSS, Guadalajara 44340, Jalisco, Mexico; (C.A.V.-G.); (F.R.-L.)
- Maestría en Ciencias del Comportamiento, Instituto de Neurociencias, Centro Universitario de Ciencias Biológicas y Agropecuarias, Universidad de Guadalajara, Guadalajara 44340, Jalisco, Mexico
| | - Abigail Gaxiola-Rubio
- Instituto de Investigación en Ciencias Biomédicas, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara 44340, Jalisco, Mexico;
- Facultad de Medicina, Universidad Autónoma de Guadalajara, Zapopan 45129, Jalisco, Mexico
| | - José Miguel Moreno-Ortiz
- Doctorado en Genética Humana, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara 44340, Jalisco, Mexico
- Instituto de Genética Humana “Dr. Enrique Corona Rivera”, Departamento de Biología Molecular y Genómica, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara 44340, Jalisco, Mexico
| | - Luis E. Figuera
- División de Genética, Centro de Investigación Biomédica de Occidente, IMSS, Guadalajara 44340, Jalisco, Mexico; (C.A.V.-G.); (F.R.-L.)
- Doctorado en Genética Humana, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara 44340, Jalisco, Mexico
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20
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Hsieh CH, Ko CA, Liang CS, Yeh PK, Tsai CK, Tsai CL, Lin GY, Lin YK, Tsai MC, Yang FC. Longitudinal assessment of plasma biomarkers for early detection of cognitive changes in subjective cognitive decline. Front Aging Neurosci 2024; 16:1389595. [PMID: 38828389 PMCID: PMC11140011 DOI: 10.3389/fnagi.2024.1389595] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Accepted: 04/29/2024] [Indexed: 06/05/2024] Open
Abstract
Background Individuals experiencing subjective cognitive decline (SCD) are at an increased risk of developing mild cognitive impairment and dementia. Early identification of SCD and neurodegenerative diseases using biomarkers may help clinical decision-making and improve prognosis. However, few cross-sectional and longitudinal studies have explored plasma biomarkers in individuals with SCD using immunomagnetic reduction. Objective To identify plasma biomarkers for SCD. Methods Fifty-two participants [38 with SCD, 14 healthy controls (HCs)] underwent baseline assessments, including measurements of plasma Aβ42, Aβ40, t-tau, p-tau, and α-synuclein using immunomagnetic reduction (IMR) assays, cognitive tests and the Mini-Mental State Examination (MMSE). Following initial cross-sectional analysis, 39 individuals (29 with SCD, 10 HCs) entered a longitudinal phase for reassessment of these biomarkers and the MMSE. Biomarker outcomes across different individual categories were primarily assessed using the area under the receiver operating characteristic (ROC) curve. The SCD subgroup with an MMSE decline over one point was compared to those without such a decline. Results Higher baseline plasma Aβ1-42 levels significantly discriminated participants with SCD from HCs, with an acceptable area under the ROC curve (AUC) of 67.5% [95% confidence interval (CI), 52.7-80.0%]. However, follow-up and changes in MMSE and IMR data did not significantly differ between the SCD and HC groups (p > 0.05). Furthermore, lower baseline plasma Aβ1-42 levels were able to discriminate SCD subgroups with and without cognitive decline with a satisfied performance (AUC, 75.0%; 95% CI, 55.6-89.1%). At last, the changes in t-tau and Aβ42 × t-tau could differentiate between the two SCD subgroups (p < 0.05). Conclusion Baseline plasma Aβ42 may help identify people with SCD and predict SCD progression. The role of plasma Aβ42 levels as well as their upward trends from baseline in cases of SCD that progress to mild cognitive impairment and Alzheimer's disease require further investigation.
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Affiliation(s)
- Cheng-Hao Hsieh
- Department of Neurology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Chien-An Ko
- Department of Neurology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Chih-Sung Liang
- Department of Psychiatry, Beitou Branch, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Po-Kuan Yeh
- Department of Neurology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
- Department of Psychiatry, Beitou Branch, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Chia-Kuang Tsai
- Department of Neurology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Chia-Lin Tsai
- Department of Neurology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Guan-Yu Lin
- Department of Neurology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
- Department of Neurology, Songshan Branch, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Yu-Kai Lin
- Department of Neurology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Ming-Chen Tsai
- Department of Neurology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Fu-Chi Yang
- Department of Neurology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
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21
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Huang Q, Ying J, Yu W, Dong Y, Xiong H, Zhang Y, Liu J, Wang X, Hua F. P2X7 Receptor: an Emerging Target in Alzheimer's Disease. Mol Neurobiol 2024; 61:2866-2880. [PMID: 37940779 PMCID: PMC11043177 DOI: 10.1007/s12035-023-03699-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 10/06/2023] [Indexed: 11/10/2023]
Abstract
Alzheimer's disease (AD) is a major cause of age-related dementia, which is becoming a global health crisis. However, the pathogenesis and etiology of AD are still not fully understood. And there are no valid treatment methods or precise diagnostic tools for AD. There is increasing evidence that P2X7R expression is upregulated in AD and is involved in multiple related pathological processes such as Aβ plaques, neurogenic fiber tangles, oxidative stress, and chronic neuroinflammation. This suggests that P2X7R may be a key player in the development of AD. P2X7R is a member of the ligand-gated purinergic receptor (P2X) family. It has received attention in neuroscience due to its role in a wide range of aging and age-related neurological disorders. In this review, we summarize current information on the roles of P2X7R in AD and suggest potential pharmacological interventions to slow down AD progression.
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Affiliation(s)
- Qiang Huang
- Department of Anesthesiology, the Second Affiliated Hospital of Nanchang University, 1# Minde Road, Nanchang, 330006, Jiangxi, China
- Key Laboratory of Anesthesiology of Jiangxi Province, 1# Minde Road, 330006, Nanchang City, Jiangxi Province, People's Republic of China
| | - Jun Ying
- Department of Anesthesiology, the Second Affiliated Hospital of Nanchang University, 1# Minde Road, Nanchang, 330006, Jiangxi, China
- Key Laboratory of Anesthesiology of Jiangxi Province, 1# Minde Road, 330006, Nanchang City, Jiangxi Province, People's Republic of China
| | - Wen Yu
- Department of Anesthesiology, the Second Affiliated Hospital of Nanchang University, 1# Minde Road, Nanchang, 330006, Jiangxi, China
- Key Laboratory of Anesthesiology of Jiangxi Province, 1# Minde Road, 330006, Nanchang City, Jiangxi Province, People's Republic of China
| | - Yao Dong
- Department of Anesthesiology, the Second Affiliated Hospital of Nanchang University, 1# Minde Road, Nanchang, 330006, Jiangxi, China
- Key Laboratory of Anesthesiology of Jiangxi Province, 1# Minde Road, 330006, Nanchang City, Jiangxi Province, People's Republic of China
| | - Hao Xiong
- Department of Anesthesiology, the Second Affiliated Hospital of Nanchang University, 1# Minde Road, Nanchang, 330006, Jiangxi, China
- Key Laboratory of Anesthesiology of Jiangxi Province, 1# Minde Road, 330006, Nanchang City, Jiangxi Province, People's Republic of China
| | - Yiping Zhang
- Department of Anesthesiology, the Second Affiliated Hospital of Nanchang University, 1# Minde Road, Nanchang, 330006, Jiangxi, China
- Key Laboratory of Anesthesiology of Jiangxi Province, 1# Minde Road, 330006, Nanchang City, Jiangxi Province, People's Republic of China
| | - Jie Liu
- Department of Anesthesiology, the Second Affiliated Hospital of Nanchang University, 1# Minde Road, Nanchang, 330006, Jiangxi, China
- Key Laboratory of Anesthesiology of Jiangxi Province, 1# Minde Road, 330006, Nanchang City, Jiangxi Province, People's Republic of China
| | - Xifeng Wang
- Department of Anesthesiology, the First Affiliated Hospital of Nanchang University, 17# Yongwai Road, Nanchang, 330006, Jiangxi, China.
| | - Fuzhou Hua
- Department of Anesthesiology, the Second Affiliated Hospital of Nanchang University, 1# Minde Road, Nanchang, 330006, Jiangxi, China.
- Key Laboratory of Anesthesiology of Jiangxi Province, 1# Minde Road, 330006, Nanchang City, Jiangxi Province, People's Republic of China.
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22
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Shippy DC, Oliai SF, Ulland TK. Zinc utilization by microglia in Alzheimer's disease. J Biol Chem 2024; 300:107306. [PMID: 38648940 PMCID: PMC11103939 DOI: 10.1016/j.jbc.2024.107306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2024] [Revised: 04/10/2024] [Accepted: 04/15/2024] [Indexed: 04/25/2024] Open
Abstract
Alzheimer's disease (AD) is the most common form of dementia defined by two key pathological characteristics in the brain, amyloid-β (Aβ) plaques and neurofibrillary tangles (NFTs) composed of hyperphosphorylated tau. Microglia, the primary innate immune cells of the central nervous system (CNS), provide neuroprotection through Aβ and tau clearance but may also be neurotoxic by promoting neuroinflammation to exacerbate Aβ and tau pathogenesis in AD. Recent studies have demonstrated the importance of microglial utilization of nutrients and trace metals in controlling their activation and effector functions. Trace metals, such as zinc, have essential roles in brain health and immunity, and zinc dyshomeostasis has been implicated in AD pathogenesis. As a result of these advances, the mechanisms by which zinc homeostasis influences microglial-mediated neuroinflammation in AD is a topic of continuing interest since new strategies to treat AD are needed. Here, we review the roles of zinc in AD, including zinc activation of microglia, the associated neuroinflammatory response, and the application of these findings in new therapeutic strategies.
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Affiliation(s)
- Daniel C Shippy
- Department of Pathology and Laboratory Medicine, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin, USA
| | - Sophia F Oliai
- Department of Pathology and Laboratory Medicine, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin, USA
| | - Tyler K Ulland
- Department of Pathology and Laboratory Medicine, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin, USA; Wisconsin Alzheimer's Disease Research Center, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin, USA.
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23
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Salvadó G, Horie K, Barthélemy NR, Vogel JW, Pichet Binette A, Chen CD, Aschenbrenner AJ, Gordon BA, Benzinger TLS, Holtzman DM, Morris JC, Palmqvist S, Stomrud E, Janelidze S, Ossenkoppele R, Schindler SE, Bateman RJ, Hansson O. Disease staging of Alzheimer's disease using a CSF-based biomarker model. NATURE AGING 2024; 4:694-708. [PMID: 38514824 PMCID: PMC11108782 DOI: 10.1038/s43587-024-00599-y] [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: 05/03/2023] [Accepted: 02/20/2024] [Indexed: 03/23/2024]
Abstract
Biological staging of individuals with Alzheimer's disease (AD) may improve diagnostic and prognostic workup of dementia in clinical practice and the design of clinical trials. In this study, we used the Subtype and Stage Inference (SuStaIn) algorithm to establish a robust biological staging model for AD using cerebrospinal fluid (CSF) biomarkers. Our analysis involved 426 participants from BioFINDER-2 and was validated in 222 participants from the Knight Alzheimer Disease Research Center cohort. SuStaIn identified a singular biomarker sequence and revealed that five CSF biomarkers effectively constituted a reliable staging model (ordered: Aβ42/40, pT217/T217, pT205/T205, MTBR-tau243 and non-phosphorylated mid-region tau). The CSF stages (0-5) demonstrated a correlation with increased abnormalities in other AD-related biomarkers, such as Aβ-PET and tau-PET, and aligned with longitudinal biomarker changes reflective of AD progression. Higher CSF stages at baseline were associated with an elevated hazard ratio of clinical decline. This study highlights a common molecular pathway underlying AD pathophysiology across all patients, suggesting that a single CSF collection can accurately indicate the presence of AD pathologies and characterize the stage of disease progression. The proposed staging model has implications for enhancing diagnostic and prognostic assessments in both clinical practice and the design of clinical trials.
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Affiliation(s)
- Gemma Salvadó
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden.
| | - Kanta Horie
- Tracy Family Stable Isotope Labeling Quantitation (SILQ) Center, Washington University School of Medicine, St. Louis, MO, USA
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
- Eisai, Inc., Nutley, NJ, USA
| | - Nicolas R Barthélemy
- Tracy Family Stable Isotope Labeling Quantitation (SILQ) Center, Washington University School of Medicine, St. Louis, MO, USA
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Jacob W Vogel
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
- Department of Clinical Science, Malmö, SciLifeLab, Lund University, Lund, Sweden
| | - Alexa Pichet Binette
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
| | - Charles D Chen
- Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Andrew J Aschenbrenner
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
- Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Brian A Gordon
- Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Tammie L S Benzinger
- Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA
- Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - David M Holtzman
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
- Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - John C Morris
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
- Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Sebastian Palmqvist
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Erik Stomrud
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Shorena Janelidze
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
| | - Rik Ossenkoppele
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Suzanne E Schindler
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
- Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Randall J Bateman
- Tracy Family Stable Isotope Labeling Quantitation (SILQ) Center, Washington University School of Medicine, St. Louis, MO, USA
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
- Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden.
- Memory Clinic, Skåne University Hospital, Malmö, Sweden.
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24
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Doering S, McCullough A, Gordon BA, Chen CD, McKay N, Hobbs D, Keefe S, Flores S, Scott J, Smith H, Jarman S, Jackson K, Hornbeck RC, Ances BM, Xiong C, Aschenbrenner AJ, Hassenstab J, Cruchaga C, Daniels A, Bateman RJ, Morris JC, Benzinger TLS. Deconstructing pathological tau by biological process in early stages of Alzheimer disease: a method for quantifying tau spatial spread in neuroimaging. EBioMedicine 2024; 103:105080. [PMID: 38552342 PMCID: PMC10995809 DOI: 10.1016/j.ebiom.2024.105080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 03/05/2024] [Accepted: 03/08/2024] [Indexed: 04/08/2024] Open
Abstract
BACKGROUND Neuroimaging studies often quantify tau burden in standardized brain regions to assess Alzheimer disease (AD) progression. However, this method ignores another key biological process in which tau spreads to additional brain regions. We have developed a metric for calculating the extent tau pathology has spread throughout the brain and evaluate the relationship between this metric and tau burden across early stages of AD. METHODS 445 cross-sectional participants (aged ≥ 50) who had MRI, amyloid PET, tau PET, and clinical testing were separated into disease-stage groups based on amyloid positivity and cognitive status (older cognitively normal control, preclinical AD, and symptomatic AD). Tau burden and tau spatial spread were calculated for all participants. FINDINGS We found both tau metrics significantly elevated across increasing disease stages (p < 0.0001) and as a function of increasing amyloid burden for participants with preclinical (p < 0.0001, p = 0.0056) and symptomatic (p = 0.010, p = 0.0021) AD. An interaction was found between tau burden and tau spatial spread when predicting amyloid burden (p = 0.00013). Analyses of slope between tau metrics demonstrated more spread than burden in preclinical AD (β = 0.59), but then tau burden elevated relative to spread (β = 0.42) once participants had symptomatic AD, when the tau metrics became highly correlated (R = 0.83). INTERPRETATION Tau burden and tau spatial spread are both strong biomarkers for early AD but provide unique information, particularly at the preclinical stage. Tau spatial spread may demonstrate earlier changes than tau burden which could have broad impact in clinical trial design. FUNDING This research was supported by the Knight Alzheimer Disease Research Center (Knight ADRC, NIH grants P30AG066444, P01AG026276, P01AG003991), Dominantly Inherited Alzheimer Network (DIAN, NIH grants U01AG042791, U19AG03243808, R01AG052550-01A1, R01AG05255003), and the Barnes-Jewish Hospital Foundation Willman Scholar Fund.
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Affiliation(s)
- Stephanie Doering
- Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - Austin McCullough
- Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - Brian A Gordon
- Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - Charles D Chen
- Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - Nicole McKay
- Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - Diana Hobbs
- Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - Sarah Keefe
- Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - Shaney Flores
- Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - Jalen Scott
- Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - Hunter Smith
- Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - Stephen Jarman
- Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - Kelley Jackson
- Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - Russ C Hornbeck
- Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - Beau M Ances
- Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - Chengjie Xiong
- Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | | | - Jason Hassenstab
- Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - Carlos Cruchaga
- Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - Alisha Daniels
- Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - Randall J Bateman
- Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - John C Morris
- Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
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Katsumi Y, Howe IA, Eckbo R, Wong B, Quimby M, Hochberg D, McGinnis SM, Putcha D, Wolk DA, Touroutoglou A, Dickerson BC. Default mode network tau predicts future clinical decline in atypical early Alzheimer's disease. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.04.17.24305620. [PMID: 38699357 PMCID: PMC11065041 DOI: 10.1101/2024.04.17.24305620] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2024]
Abstract
Identifying individuals with early stage Alzheimer's disease (AD) at greater risk of steeper clinical decline would allow professionals and loved ones to make better-informed medical, support, and life planning decisions. Despite accumulating evidence on the clinical prognostic value of tau PET in typical late-onset amnestic AD, its utility in predicting clinical decline in individuals with atypical forms of AD remains unclear. In this study, we examined the relationship between baseline tau PET signal and the rate of subsequent clinical decline in a sample of 48 A+/T+/N+ patients with mild cognitive impairment or mild dementia due to AD with atypical clinical phenotypes (Posterior Cortical Atrophy, logopenic variant Primary Progressive Aphasia, and amnestic syndrome with multi-domain impairment and age of onset < 65 years). All patients underwent structural magnetic resonance imaging (MRI), tau (18F-Flortaucipir) PET, and amyloid (either 18F-Florbetaben or 11C-Pittsburgh Compound B) PET scans at baseline. Each patient's longitudinal clinical decline was assessed by calculating the annualized change in the Clinical Dementia Rating Sum-of-Boxes (CDR-SB) scores from baseline to follow-up (mean time interval = 14.55 ± 3.97 months). Our sample of early atypical AD patients showed an increase in CDR-SB by 1.18 ± 1.25 points per year: t(47) = 6.56, p < .001, d = 0.95. These AD patients showed prominent baseline tau burden in posterior cortical regions including the major nodes of the default mode network, including the angular gyrus, posterior cingulate cortex/precuneus, and lateral temporal cortex. Greater baseline tau in the broader default mode network predicted faster clinical decline. Tau in the default mode network was the strongest predictor of clinical decline, outperforming baseline clinical impairment, tau in other functional networks, and the magnitude of cortical atrophy and amyloid burden in the default mode network. Overall, these findings point to the contribution of baseline tau burden within the default mode network of the cerebral cortex to predicting the magnitude of clinical decline in a sample of atypical early AD patients one year later. This simple measure based on a tau PET scan could aid the development of a personalized prognostic, monitoring, and treatment plan tailored to each individual patient, which would help clinicians not only predict the natural evolution of the disease but also estimate the effect of disease-modifying therapies on slowing subsequent clinical decline given the patient's tau burden while still early in the disease course.
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Affiliation(s)
- Yuta Katsumi
- Frontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Inola A Howe
- Frontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Ryan Eckbo
- Frontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Bonnie Wong
- Frontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Megan Quimby
- Frontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Daisy Hochberg
- Frontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Scott M McGinnis
- Frontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Center for Brain Mind Medicine, Department of Neurology, Brigham & Women's Hospital, Boston, MA 02115, USA
| | - Deepti Putcha
- Frontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Center for Brain Mind Medicine, Department of Neurology, Brigham & Women's Hospital, Boston, MA 02115, USA
| | - David A Wolk
- Department of Neurology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Alexandra Touroutoglou
- Frontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA
- Alzheimer's Disease Research Center, Massachusetts General Hospital, Charlestown, MA 02129, USA
| | - Bradford C Dickerson
- Frontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA
- Alzheimer's Disease Research Center, Massachusetts General Hospital, Charlestown, MA 02129, USA
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26
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Bischof GN, Jaeger E, Giehl K, Jessen F, Onur OA, O'Bryant S, Kara E, Weiss PH, Drzezga A. Cortical Tau Aggregation Patterns associated with Apraxia in Alzheimer's Disease. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.04.09.24305535. [PMID: 38645131 PMCID: PMC11030486 DOI: 10.1101/2024.04.09.24305535] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Abstract
Objectives Apraxia is a core feature of Alzheimer's disease, but the pathomechanism of this characteristic symptom is not well understood. Here, we systematically investigated apraxia profiles in a well-defined group of patients with Alzheimer's disease (AD; N=32) who additionally underwent PET imaging with the second-generation tau PET tracer [18F]PI-2620. We hypothesized that specific patterns of tau pathology might be related to apraxic deficits. Methods Patients (N=32) with a biomarker-confirmed diagnosis of Alzheimer's disease were recruited in addition to a sample cognitively unimpaired controls (CU 1 ; N=41). Both groups underwent in-depth neuropsychological assessment of apraxia (Dementia Apraxia Screening Test; DATE and the Cologne Apraxia Screening; KAS). In addition, static PET imaging with [18F]PI-2620 was performed to assess tau pathology in the AD patients. To specifically investigate the association of apraxia with regional tau-pathology, we compared the PET-data from this group with an independent sample of amyloid-negative cognitively intact participants (CU 2; N=54) by generation of z-score-deviation maps as well as voxel- based multiple regression analyses. Results We identified significant clusters of tau-aggregation in praxis-related regions (e.g., supramarginal gyrus, angular gyrus, temporal, parietal and occipital regions) that were associated with apraxia. These regions were similar between the two apraxia assessments. No correlations between tau-tracer uptake in primary motor cortical or subcortical brain regions and apraxia were observed. Conclusions These results suggest that tau deposition in specific cortical brain regions may induce local neuronal dysfunction leading to a dose-dependent functional decline in praxis performance.
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Kim S, Shin SJ, Nam Y, Park YH, Kim BH, Park HH, Kumar V, Yoo DH, Lee YY, Hoe HS, Moon M. Korean red ginseng polysaccharide as a potential therapeutic agent targeting tau pathology in Alzheimer's disease. Int J Biol Macromol 2024; 263:130516. [PMID: 38423419 DOI: 10.1016/j.ijbiomac.2024.130516] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 01/02/2024] [Accepted: 02/26/2024] [Indexed: 03/02/2024]
Abstract
Tau is a microtubule-associated protein that plays a critical role in the stabilization and modulation of neuronal axons. Tau pathology is stronger associated with cognitive decline in patients with Alzheimer's disease (AD) than amyloid beta (Aβ) pathology. Hence, tau targeting is a promising approach for the treatment of AD. Previous studies have demonstrated that the non-saponin fraction with rich polysaccharide (NFP) from Korean red ginseng (KRG) can modulate tau aggregation and exert a therapeutic effect on AD. Therefore, we investigated the efficacy of NFP isolated from KRG on tau pathology in experimental models of AD. Our results showed that NFP from KRG ameliorated deposition and hyperphosphorylation of tau in the brain of 3xTg mice. Moreover, NFP from KRG modulated the aggregation and dissociation of tau K18 in vitro. We demonstrated the alleviatory effects of NFP from KRG on hyperphosphorylated tau and tau kinase in okadaic acid-treated HT22 cells. Furthermore, NFP from KRG mitigated Aβ deposition, neurodegeneration, and neuroinflammation in 3xTg mice. We revealed the neuroprotective effects of NFP from KRG on tau-induced neuronal loss in HT22 cells. Our results indicate that NFP extracted from KRG is a novel therapeutic agent for the treatment of AD associated with tau pathology.
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Affiliation(s)
- Sujin Kim
- Department of Biochemistry, College of Medicine, Konyang University, 158, Gwanjeodong-ro, Seo-gu, Daejeon 35365, Republic of Korea; Research Institute for Dementia Science, Konyang University, 158, Gwanjeodong-ro, Seo-gu, Daejeon 35365, Republic of Korea
| | - Soo Jung Shin
- Department of Biochemistry, College of Medicine, Konyang University, 158, Gwanjeodong-ro, Seo-gu, Daejeon 35365, Republic of Korea
| | - Yunkwon Nam
- Department of Biochemistry, College of Medicine, Konyang University, 158, Gwanjeodong-ro, Seo-gu, Daejeon 35365, Republic of Korea
| | - Yong Ho Park
- Department of Biochemistry, College of Medicine, Konyang University, 158, Gwanjeodong-ro, Seo-gu, Daejeon 35365, Republic of Korea
| | - Byeong-Hyeon Kim
- Department of Biochemistry, College of Medicine, Konyang University, 158, Gwanjeodong-ro, Seo-gu, Daejeon 35365, Republic of Korea
| | - Hyun Ha Park
- Department of Biochemistry, College of Medicine, Konyang University, 158, Gwanjeodong-ro, Seo-gu, Daejeon 35365, Republic of Korea
| | - Vijay Kumar
- Department of Biochemistry, College of Medicine, Konyang University, 158, Gwanjeodong-ro, Seo-gu, Daejeon 35365, Republic of Korea
| | - Doo-Han Yoo
- Research Institute for Dementia Science, Konyang University, 158, Gwanjeodong-ro, Seo-gu, Daejeon 35365, Republic of Korea; Department of Occupational Therapy, Konyang University, 158, Gwanjeodong-ro, Seo-gu, Daejeon 35365, Republic of Korea
| | - Yong Yook Lee
- The Korean Ginseng Research Institute, Korea Ginseng Corporation, Gajeong-ro 30, Shinseong-dong, Yuseong-gu, Daejeon 34128, Republic of Korea.
| | - Hyang-Sook Hoe
- Department of Neural Development and Disease, Korea Brain Research Institute (KBRI), 61, Cheomdan-ro, Dong-gu 41068, Republic of Korea; Department of Brain & Cognitive Sciences, Daegu Gyeongbuk Institute of Science & Technology (DGIST), Daegu 42988, Republic of Korea.
| | - Minho Moon
- Department of Biochemistry, College of Medicine, Konyang University, 158, Gwanjeodong-ro, Seo-gu, Daejeon 35365, Republic of Korea; Research Institute for Dementia Science, Konyang University, 158, Gwanjeodong-ro, Seo-gu, Daejeon 35365, Republic of Korea.
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Morderer D, Wren MC, Liu F, Kouri N, Maistrenko A, Khalil B, Pobitzer N, Salemi M, Phinney BS, Dickson DW, Murray ME, Rossoll W. Probe-dependent Proximity Profiling (ProPPr) Uncovers Similarities and Differences in Phospho-Tau-Associated Proteomes Between Tauopathies. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.25.585597. [PMID: 38585836 PMCID: PMC10996607 DOI: 10.1101/2024.03.25.585597] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/09/2024]
Abstract
Tauopathies represent a diverse group of neurodegenerative disorders characterized by the abnormal aggregation of the microtubule-associated protein tau. Despite extensive research, the precise mechanisms underlying the complexity of different types of tau pathology remain incompletely understood. Here we describe an approach for proteomic profiling of aggregate-associated proteomes on slides with formalin-fixed, paraffin-embedded (FFPE) tissue that utilizes proximity labelling upon high preservation of aggregate morphology, which permits the profiling of pathological aggregates regardless of their size. To comprehensively investigate the common and unique protein interactors associated with the variety of tau lesions present across different human tauopathies, Alzheimer's disease (AD), corticobasal degeneration (CBD), Pick's disease (PiD), and progressive supranuclear palsy (PSP), were selected to represent the major tauopathy diseases. Implementation of our widely applicable Probe-dependent Proximity Profiling (ProPPr) strategy, using the AT8 antibody, permitted identification and quantification of proteins associated with phospho-tau lesions in well-characterized human post-mortem tissue. The analysis revealed both common and disease-specific proteins associated with phospho-tau aggregates, highlighting potential targets for therapeutic intervention and biomarker development. Candidate validation through high-resolution co-immunofluorescence of distinct aggregates across disease and control cases, confirmed the association of retromer complex protein VPS35 with phospho-tau lesions across the studied tauopathies. Furthermore, we discovered disease-specific associations of proteins including ferritin light chain (FTL) and the neuropeptide precursor VGF within distinct pathological lesions. Notably, examination of FTL-positive microglia in CBD astrocytic plaques indicate a potential role for microglial involvement in the pathogenesis of these tau lesions. Our findings provide valuable insights into the proteomic landscape of tauopathies, shedding light on the molecular mechanisms underlying tau pathology. This first comprehensive characterization of tau-associated proteomes across different tauopathies enhances our understanding of disease heterogeneity and provides a resource for future functional investigation, as well as development of targeted therapies and diagnostic biomarkers.
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Lee J, Burkett BJ, Min HK, Senjem ML, Dicks E, Corriveau-Lecavalier N, Mester CT, Wiste HJ, Lundt ES, Murray ME, Nguyen AT, Reichard RR, Botha H, Graff-Radford J, Barnard LR, Gunter JL, Schwarz CG, Kantarci K, Knopman DS, Boeve BF, Lowe VJ, Petersen RC, Jack CR, Jones DT. Synthesizing images of tau pathology from cross-modal neuroimaging using deep learning. Brain 2024; 147:980-995. [PMID: 37804318 PMCID: PMC10907092 DOI: 10.1093/brain/awad346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 08/30/2023] [Accepted: 09/24/2023] [Indexed: 10/09/2023] Open
Abstract
Given the prevalence of dementia and the development of pathology-specific disease-modifying therapies, high-value biomarker strategies to inform medical decision-making are critical. In vivo tau-PET is an ideal target as a biomarker for Alzheimer's disease diagnosis and treatment outcome measure. However, tau-PET is not currently widely accessible to patients compared to other neuroimaging methods. In this study, we present a convolutional neural network (CNN) model that imputes tau-PET images from more widely available cross-modality imaging inputs. Participants (n = 1192) with brain T1-weighted MRI (T1w), fluorodeoxyglucose (FDG)-PET, amyloid-PET and tau-PET were included. We found that a CNN model can impute tau-PET images with high accuracy, the highest being for the FDG-based model followed by amyloid-PET and T1w. In testing implications of artificial intelligence-imputed tau-PET, only the FDG-based model showed a significant improvement of performance in classifying tau positivity and diagnostic groups compared to the original input data, suggesting that application of the model could enhance the utility of the metabolic images. The interpretability experiment revealed that the FDG- and T1w-based models utilized the non-local input from physically remote regions of interest to estimate the tau-PET, but this was not the case for the Pittsburgh compound B-based model. This implies that the model can learn the distinct biological relationship between FDG-PET, T1w and tau-PET from the relationship between amyloid-PET and tau-PET. Our study suggests that extending neuroimaging's use with artificial intelligence to predict protein specific pathologies has great potential to inform emerging care models.
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Affiliation(s)
- Jeyeon Lee
- Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA
- Department of Biomedical Engineering, Hanyang University, Seoul 04763, Korea
| | - Brian J Burkett
- Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA
| | - Hoon-Ki Min
- Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA
| | - Matthew L Senjem
- Department of Information Technology, Mayo Clinic, Rochester, MN 55905, USA
| | - Ellen Dicks
- Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA
| | | | - Carly T Mester
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | - Heather J Wiste
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | - Emily S Lundt
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | - Melissa E Murray
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA
| | - Aivi T Nguyen
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA
| | - Ross R Reichard
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA
| | - Hugo Botha
- Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA
| | | | | | | | | | - Kejal Kantarci
- Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA
| | - David S Knopman
- Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA
| | - Bradley F Boeve
- Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA
| | - Val J Lowe
- Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA
| | | | - Clifford R Jack
- Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA
| | - David T Jones
- Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA
- Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA
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Kim CM, Diez I, Bueichekú E, Ahn S, Montal V, Sepulcre J. Spatiotemporal Correlation between Amyloid and Tau Accumulations Underlies Cognitive Changes in Aging. J Neurosci 2024; 44:e0488232023. [PMID: 38123362 PMCID: PMC10869152 DOI: 10.1523/jneurosci.0488-23.2023] [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: 03/17/2023] [Revised: 10/03/2023] [Accepted: 11/09/2023] [Indexed: 12/23/2023] Open
Abstract
It is poorly known how Aβ and tau accumulations associate at the spatiotemporal level in the in vivo human brain to impact cognitive changes in older adults prior to AD symptoms onset. In this study, we used a graph theory-based spatiotemporal analysis to characterize the cortical patterns of Aβ and tau deposits and their relationship with cognitive changes in the Harvard Aging Brain Study (HABS) cohort. We found that the temporal accumulations of interlinked Aβ and tau pathology display distinctive spatiotemporal correlations associated with early cognitive decline. Notably, we observed that baseline Aβ deposits-Thal amyloid phase Ⅱ-related to future increase of tau deposits, Braak stages Ⅰ-Ⅳ, both displaying linkage to the decline in multi-domain cognitive scores. We also found unimodal tau-to-tau and cognitive impairment associations in broad areas of Braak stages Ⅰ-Ⅳ. The unimodal Aβ-to-Aβ progressions were not associated with cognitive changes. Our results revealed a multifaceted correlation of the spatiotemporal Aβ and tau associations with cognitive decline over time, in which tau-to-tau and tau-Aβ interactions, and not Aβ independently, might be critical contributors to clinical trajectories toward AD in older adults.
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Affiliation(s)
- Chan-Mi Kim
- Department of Radiology, Gordon Center for Medical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston 02114, Massachusetts
| | - Ibai Diez
- Department of Radiology, Gordon Center for Medical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston 02114, Massachusetts
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown 02129, Massachusetts
| | - Elisenda Bueichekú
- Department of Radiology, Gordon Center for Medical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston 02114, Massachusetts
| | - Sung Ahn
- Department of Radiology, Gordon Center for Medical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston 02114, Massachusetts
| | - Victor Montal
- Department of Radiology, Gordon Center for Medical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston 02114, Massachusetts
- Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autonoma de Barcelona, Barcelona 08041, Spain
- Center of Biomedical Investigation Network for Neurodegenerative Diseases (CIBERNED), Madrid 28029, Spain
| | - Jorge Sepulcre
- Department of Radiology, Gordon Center for Medical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston 02114, Massachusetts
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown 02129, Massachusetts
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Zhang Q, Fan C, Wang L, Li T, Wang M, Han Y, Jiang J. Glucose metabolism in posterior cingulate cortex has supplementary value to predict the progression of cognitively unimpaired to dementia due to Alzheimer's disease: an exploratory study of 18F-FDG-PET. GeroScience 2024; 46:1407-1420. [PMID: 37610594 PMCID: PMC10828178 DOI: 10.1007/s11357-023-00897-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 07/28/2023] [Indexed: 08/24/2023] Open
Abstract
Amyloid-β (Aβ) and tau are important biomarkers to predict the progression of cognitively unimpaired (CU) to dementia due to Alzheimer's disease (AD), according to the diagnosis framework from the US National Institute on Aging and the Alzheimer's Association (NIA-AA). However, it is clinically difficult to predict those subjects who were already with Aβ positive (A +) or tau positive (T +). As a typical characteristic of neurodegeneration in the diagnosis framework, the hypometabolism of the posterior cingulate cortex (PCC) has significant clinical value in the early prediction and prevention of AD. In this paper, we proposed the glucose metabolism in the PCC as a biomarker supplement to Aβ and tau biomarkers. First, we calculated the standard uptake value ratio (SUVR) of PCC based on fluorodeoxyglucose positron emission computed tomography (FDG PET) imaging. Secondly, we performed Kaplan-Meier (KM) survival analyses to explore the predictive performance of PCC SUVR, and the hazard ratio (HR) was calculated. Finally, we performed Pearson correlation analyses to explore the physiological significance of PCC SUVR. As a result, the PCC SUVR showed a consistent downward trend along the AD continuum. KM analyses showed better predictive performance when we combined PCC SUVR with cerebro-spinal fluid (CSF) Aβ42 (from HR = 2.56 to 3.00 within 5 years; from HR = 2.76 to 4.20 within 10 years) and ptau-181 (from 2.83 to 3.91 within 5 years; from HR = 2.32 to 4.17 within 10 years). There was a slight correlation between Aβ42/Aβ40 and PCC SUVR (r = 0.14, p = 0.02). In addition, several cognition scales were also correlated to PCC SUVR (from r = -0.407 to 0.383, p < 0.05). Our results showed that glucose metabolism in PCC may be a potential biomarker supplement to the Aβ and tau biomarkers to predict the progression of CU to AD.
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Affiliation(s)
- Qi Zhang
- School of Communication & Information Engineering, Shanghai University, Shanghai, 200444, China
| | - Chunqiu Fan
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, 100053, China
| | - Luyao Wang
- School of Life Science, Shanghai University, Shanghai, 200444, China
| | - Taoran Li
- Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu, 210029, China
| | - Min Wang
- School of Life Science, Shanghai University, Shanghai, 200444, China
| | - Ying Han
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, 100053, China.
- School of Biomedical Engineering, Hainan University, Haikou, 570228, China.
- Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, 100053, China.
- National Clinical Research Center for Geriatric Diseases, Beijing, 100053, China.
| | - Jiehui Jiang
- School of Life Science, Shanghai University, Shanghai, 200444, China.
- Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province, Sichuan, 646000, China.
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32
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Wang Q, Schindler SE, Chen G, Mckay NS, McCullough A, Flores S, Liu J, Sun Z, Wang S, Wang W, Hassenstab J, Cruchaga C, Perrin RJ, Fagan AM, Morris JC, Wang Y, Benzinger TLS. Investigating White Matter Neuroinflammation in Alzheimer Disease Using Diffusion-Based Neuroinflammation Imaging. Neurology 2024; 102:e208013. [PMID: 38315956 PMCID: PMC10890836 DOI: 10.1212/wnl.0000000000208013] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 10/13/2023] [Indexed: 02/07/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Alzheimer disease (AD) is primarily associated with accumulations of amyloid plaques and tau tangles in gray matter, however, it is now acknowledged that neuroinflammation, particularly in white matter (WM), significantly contributes to the development and progression of AD. This study aims to investigate WM neuroinflammation in the continuum of AD and its association with AD pathologies and cognition using diffusion-based neuroinflammation imaging (NII). METHODS This is a cross-sectional, single-center, retrospective evaluation conducted on an observational study of 310 older research participants who were enrolled in the Knight Alzheimer's Disease Research Center cohort. Hindered water ratio (HR), an index of WM neuroinflammation, was quantified by a noninvasive diffusion MRI method, NII. The alterations of NII-HR were investigated at different AD stages, classified based on CSF concentrations of β-amyloid (Aβ) 42/Aβ40 for amyloid and phosphorylated tau181 (p-tau181) for tau. On the voxel and regional levels, the relationship between NII-HR and CSF markers of amyloid, tau, and neuroinflammation were examined, as well as cognition. RESULTS This cross-sectional study included 310 participants (mean age 67.1 [±9.1] years), with 52 percent being female. Subgroups included 120 individuals (38.7%) with CSF measures of soluble triggering receptor expressed on myeloid cells 2, 80 participants (25.8%) with CSF measures of chitinase-3-like protein 1, and 110 individuals (35.5%) with longitudinal cognitive measures. The study found that cognitively normal individuals with positive CSF Aβ42/Aβ40 and p-tau181 had higher HR than healthy controls and those with positive CSF Aβ42/Aβ40 but negative p-tau181. WM tracts with elevated NII-HR in individuals with positive CSF Aβ42/Aβ40 and p-tau181 were primarily located in the posterior brain regions while those with elevated NII-HR in individuals with positive CSF Aβ42/Aβ40 and p-tau181 connected the posterior and anterior brain regions. A significant negative correlation between NII-HR and CSF Aβ42/Aβ40 was found in individuals with positive CSF Aβ42/Aβ40. Baseline NII-HR correlated with baseline cognitive composite score and predicted longitudinal cognitive decline. DISCUSSION Those findings suggest that WM neuroinflammation undergoes alterations before the onset of AD clinical symptoms and that it interacts with amyloidosis. This highlights the potential value of noninvasive monitoring of WM neuroinflammation in AD progression and treatment.
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Affiliation(s)
- Qing Wang
- From the Mallinckrodt Institute of Radiology (Q.W., G.C., N.S.M., A.M., S.F., Y.W., T.L.S.B.), Knight Alzheimer Disease Research Center (Q.W., S.E.S., G.C., N.S.M., A.M., J.H., R.J.P., A.M.F., J.C.M., T.L.S.B.), Department of Neurology (S.E.S., J.H., C.C., A.M.F., J.C.M.), Department of Surgery (J.L.), Department of Biomedical Engineering (Z.S.), Department of Electrical and System Engineering (S.W., W.W., Y.W.), Department of Psychiatry (C.C.), Department of Pathology & Immunology (R.J.P.), Department of Obstetrics & Gynecology (Y.W.), and Department of Neurosurgery (T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Suzanne E Schindler
- From the Mallinckrodt Institute of Radiology (Q.W., G.C., N.S.M., A.M., S.F., Y.W., T.L.S.B.), Knight Alzheimer Disease Research Center (Q.W., S.E.S., G.C., N.S.M., A.M., J.H., R.J.P., A.M.F., J.C.M., T.L.S.B.), Department of Neurology (S.E.S., J.H., C.C., A.M.F., J.C.M.), Department of Surgery (J.L.), Department of Biomedical Engineering (Z.S.), Department of Electrical and System Engineering (S.W., W.W., Y.W.), Department of Psychiatry (C.C.), Department of Pathology & Immunology (R.J.P.), Department of Obstetrics & Gynecology (Y.W.), and Department of Neurosurgery (T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Gengsheng Chen
- From the Mallinckrodt Institute of Radiology (Q.W., G.C., N.S.M., A.M., S.F., Y.W., T.L.S.B.), Knight Alzheimer Disease Research Center (Q.W., S.E.S., G.C., N.S.M., A.M., J.H., R.J.P., A.M.F., J.C.M., T.L.S.B.), Department of Neurology (S.E.S., J.H., C.C., A.M.F., J.C.M.), Department of Surgery (J.L.), Department of Biomedical Engineering (Z.S.), Department of Electrical and System Engineering (S.W., W.W., Y.W.), Department of Psychiatry (C.C.), Department of Pathology & Immunology (R.J.P.), Department of Obstetrics & Gynecology (Y.W.), and Department of Neurosurgery (T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Nicole S Mckay
- From the Mallinckrodt Institute of Radiology (Q.W., G.C., N.S.M., A.M., S.F., Y.W., T.L.S.B.), Knight Alzheimer Disease Research Center (Q.W., S.E.S., G.C., N.S.M., A.M., J.H., R.J.P., A.M.F., J.C.M., T.L.S.B.), Department of Neurology (S.E.S., J.H., C.C., A.M.F., J.C.M.), Department of Surgery (J.L.), Department of Biomedical Engineering (Z.S.), Department of Electrical and System Engineering (S.W., W.W., Y.W.), Department of Psychiatry (C.C.), Department of Pathology & Immunology (R.J.P.), Department of Obstetrics & Gynecology (Y.W.), and Department of Neurosurgery (T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Austin McCullough
- From the Mallinckrodt Institute of Radiology (Q.W., G.C., N.S.M., A.M., S.F., Y.W., T.L.S.B.), Knight Alzheimer Disease Research Center (Q.W., S.E.S., G.C., N.S.M., A.M., J.H., R.J.P., A.M.F., J.C.M., T.L.S.B.), Department of Neurology (S.E.S., J.H., C.C., A.M.F., J.C.M.), Department of Surgery (J.L.), Department of Biomedical Engineering (Z.S.), Department of Electrical and System Engineering (S.W., W.W., Y.W.), Department of Psychiatry (C.C.), Department of Pathology & Immunology (R.J.P.), Department of Obstetrics & Gynecology (Y.W.), and Department of Neurosurgery (T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Shaney Flores
- From the Mallinckrodt Institute of Radiology (Q.W., G.C., N.S.M., A.M., S.F., Y.W., T.L.S.B.), Knight Alzheimer Disease Research Center (Q.W., S.E.S., G.C., N.S.M., A.M., J.H., R.J.P., A.M.F., J.C.M., T.L.S.B.), Department of Neurology (S.E.S., J.H., C.C., A.M.F., J.C.M.), Department of Surgery (J.L.), Department of Biomedical Engineering (Z.S.), Department of Electrical and System Engineering (S.W., W.W., Y.W.), Department of Psychiatry (C.C.), Department of Pathology & Immunology (R.J.P.), Department of Obstetrics & Gynecology (Y.W.), and Department of Neurosurgery (T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Jingxia Liu
- From the Mallinckrodt Institute of Radiology (Q.W., G.C., N.S.M., A.M., S.F., Y.W., T.L.S.B.), Knight Alzheimer Disease Research Center (Q.W., S.E.S., G.C., N.S.M., A.M., J.H., R.J.P., A.M.F., J.C.M., T.L.S.B.), Department of Neurology (S.E.S., J.H., C.C., A.M.F., J.C.M.), Department of Surgery (J.L.), Department of Biomedical Engineering (Z.S.), Department of Electrical and System Engineering (S.W., W.W., Y.W.), Department of Psychiatry (C.C.), Department of Pathology & Immunology (R.J.P.), Department of Obstetrics & Gynecology (Y.W.), and Department of Neurosurgery (T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Zhexian Sun
- From the Mallinckrodt Institute of Radiology (Q.W., G.C., N.S.M., A.M., S.F., Y.W., T.L.S.B.), Knight Alzheimer Disease Research Center (Q.W., S.E.S., G.C., N.S.M., A.M., J.H., R.J.P., A.M.F., J.C.M., T.L.S.B.), Department of Neurology (S.E.S., J.H., C.C., A.M.F., J.C.M.), Department of Surgery (J.L.), Department of Biomedical Engineering (Z.S.), Department of Electrical and System Engineering (S.W., W.W., Y.W.), Department of Psychiatry (C.C.), Department of Pathology & Immunology (R.J.P.), Department of Obstetrics & Gynecology (Y.W.), and Department of Neurosurgery (T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Sicheng Wang
- From the Mallinckrodt Institute of Radiology (Q.W., G.C., N.S.M., A.M., S.F., Y.W., T.L.S.B.), Knight Alzheimer Disease Research Center (Q.W., S.E.S., G.C., N.S.M., A.M., J.H., R.J.P., A.M.F., J.C.M., T.L.S.B.), Department of Neurology (S.E.S., J.H., C.C., A.M.F., J.C.M.), Department of Surgery (J.L.), Department of Biomedical Engineering (Z.S.), Department of Electrical and System Engineering (S.W., W.W., Y.W.), Department of Psychiatry (C.C.), Department of Pathology & Immunology (R.J.P.), Department of Obstetrics & Gynecology (Y.W.), and Department of Neurosurgery (T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Wenshang Wang
- From the Mallinckrodt Institute of Radiology (Q.W., G.C., N.S.M., A.M., S.F., Y.W., T.L.S.B.), Knight Alzheimer Disease Research Center (Q.W., S.E.S., G.C., N.S.M., A.M., J.H., R.J.P., A.M.F., J.C.M., T.L.S.B.), Department of Neurology (S.E.S., J.H., C.C., A.M.F., J.C.M.), Department of Surgery (J.L.), Department of Biomedical Engineering (Z.S.), Department of Electrical and System Engineering (S.W., W.W., Y.W.), Department of Psychiatry (C.C.), Department of Pathology & Immunology (R.J.P.), Department of Obstetrics & Gynecology (Y.W.), and Department of Neurosurgery (T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Jason Hassenstab
- From the Mallinckrodt Institute of Radiology (Q.W., G.C., N.S.M., A.M., S.F., Y.W., T.L.S.B.), Knight Alzheimer Disease Research Center (Q.W., S.E.S., G.C., N.S.M., A.M., J.H., R.J.P., A.M.F., J.C.M., T.L.S.B.), Department of Neurology (S.E.S., J.H., C.C., A.M.F., J.C.M.), Department of Surgery (J.L.), Department of Biomedical Engineering (Z.S.), Department of Electrical and System Engineering (S.W., W.W., Y.W.), Department of Psychiatry (C.C.), Department of Pathology & Immunology (R.J.P.), Department of Obstetrics & Gynecology (Y.W.), and Department of Neurosurgery (T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Carlos Cruchaga
- From the Mallinckrodt Institute of Radiology (Q.W., G.C., N.S.M., A.M., S.F., Y.W., T.L.S.B.), Knight Alzheimer Disease Research Center (Q.W., S.E.S., G.C., N.S.M., A.M., J.H., R.J.P., A.M.F., J.C.M., T.L.S.B.), Department of Neurology (S.E.S., J.H., C.C., A.M.F., J.C.M.), Department of Surgery (J.L.), Department of Biomedical Engineering (Z.S.), Department of Electrical and System Engineering (S.W., W.W., Y.W.), Department of Psychiatry (C.C.), Department of Pathology & Immunology (R.J.P.), Department of Obstetrics & Gynecology (Y.W.), and Department of Neurosurgery (T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Richard J Perrin
- From the Mallinckrodt Institute of Radiology (Q.W., G.C., N.S.M., A.M., S.F., Y.W., T.L.S.B.), Knight Alzheimer Disease Research Center (Q.W., S.E.S., G.C., N.S.M., A.M., J.H., R.J.P., A.M.F., J.C.M., T.L.S.B.), Department of Neurology (S.E.S., J.H., C.C., A.M.F., J.C.M.), Department of Surgery (J.L.), Department of Biomedical Engineering (Z.S.), Department of Electrical and System Engineering (S.W., W.W., Y.W.), Department of Psychiatry (C.C.), Department of Pathology & Immunology (R.J.P.), Department of Obstetrics & Gynecology (Y.W.), and Department of Neurosurgery (T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Anne M Fagan
- From the Mallinckrodt Institute of Radiology (Q.W., G.C., N.S.M., A.M., S.F., Y.W., T.L.S.B.), Knight Alzheimer Disease Research Center (Q.W., S.E.S., G.C., N.S.M., A.M., J.H., R.J.P., A.M.F., J.C.M., T.L.S.B.), Department of Neurology (S.E.S., J.H., C.C., A.M.F., J.C.M.), Department of Surgery (J.L.), Department of Biomedical Engineering (Z.S.), Department of Electrical and System Engineering (S.W., W.W., Y.W.), Department of Psychiatry (C.C.), Department of Pathology & Immunology (R.J.P.), Department of Obstetrics & Gynecology (Y.W.), and Department of Neurosurgery (T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - John C Morris
- From the Mallinckrodt Institute of Radiology (Q.W., G.C., N.S.M., A.M., S.F., Y.W., T.L.S.B.), Knight Alzheimer Disease Research Center (Q.W., S.E.S., G.C., N.S.M., A.M., J.H., R.J.P., A.M.F., J.C.M., T.L.S.B.), Department of Neurology (S.E.S., J.H., C.C., A.M.F., J.C.M.), Department of Surgery (J.L.), Department of Biomedical Engineering (Z.S.), Department of Electrical and System Engineering (S.W., W.W., Y.W.), Department of Psychiatry (C.C.), Department of Pathology & Immunology (R.J.P.), Department of Obstetrics & Gynecology (Y.W.), and Department of Neurosurgery (T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Yong Wang
- From the Mallinckrodt Institute of Radiology (Q.W., G.C., N.S.M., A.M., S.F., Y.W., T.L.S.B.), Knight Alzheimer Disease Research Center (Q.W., S.E.S., G.C., N.S.M., A.M., J.H., R.J.P., A.M.F., J.C.M., T.L.S.B.), Department of Neurology (S.E.S., J.H., C.C., A.M.F., J.C.M.), Department of Surgery (J.L.), Department of Biomedical Engineering (Z.S.), Department of Electrical and System Engineering (S.W., W.W., Y.W.), Department of Psychiatry (C.C.), Department of Pathology & Immunology (R.J.P.), Department of Obstetrics & Gynecology (Y.W.), and Department of Neurosurgery (T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Tammie L S Benzinger
- From the Mallinckrodt Institute of Radiology (Q.W., G.C., N.S.M., A.M., S.F., Y.W., T.L.S.B.), Knight Alzheimer Disease Research Center (Q.W., S.E.S., G.C., N.S.M., A.M., J.H., R.J.P., A.M.F., J.C.M., T.L.S.B.), Department of Neurology (S.E.S., J.H., C.C., A.M.F., J.C.M.), Department of Surgery (J.L.), Department of Biomedical Engineering (Z.S.), Department of Electrical and System Engineering (S.W., W.W., Y.W.), Department of Psychiatry (C.C.), Department of Pathology & Immunology (R.J.P.), Department of Obstetrics & Gynecology (Y.W.), and Department of Neurosurgery (T.L.S.B.), Washington University School of Medicine, St. Louis, MO
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33
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Zheng L, Rubinski A, Denecke J, Luan Y, Smith R, Strandberg O, Stomrud E, Ossenkoppele R, Svaldi DO, Higgins IA, Shcherbinin S, Pontecorvo MJ, Hansson O, Franzmeier N, Ewers M. Combined Connectomics, MAPT Gene Expression, and Amyloid Deposition to Explain Regional Tau Deposition in Alzheimer Disease. Ann Neurol 2024; 95:274-287. [PMID: 37837382 DOI: 10.1002/ana.26818] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 09/07/2023] [Accepted: 10/03/2023] [Indexed: 10/16/2023]
Abstract
OBJECTIVE We aimed to test whether region-specific factors, including spatial expression patterns of the tau-encoding gene MAPT and regional levels of amyloid positron emission tomography (PET), enhance connectivity-based modeling of the spatial variability in tau-PET deposition in the Alzheimer disease (AD) spectrum. METHODS We included 685 participants (395 amyloid-positive participants within AD spectrum and 290 amyloid-negative controls) with tau-PET and amyloid-PET from 3 studies (Alzheimer's Disease Neuroimaging Initiative, 18 F-AV-1451-A05, and BioFINDER-1). Resting-state functional magnetic resonance imaging was obtained in healthy controls (n = 1,000) from the Human Connectome Project, and MAPT gene expression from the Allen Human Brain Atlas. Based on a brain-parcellation atlas superimposed onto all modalities, we obtained region of interest (ROI)-to-ROI functional connectivity, ROI-level PET values, and MAPT gene expression. In stepwise regression analyses, we tested connectivity, MAPT gene expression, and amyloid-PET as predictors of group-averaged and individual tau-PET ROI values in amyloid-positive participants. RESULTS Connectivity alone explained 21.8 to 39.2% (range across 3 studies) of the variance in tau-PET ROI values averaged across amyloid-positive participants. Stepwise addition of MAPT gene expression and amyloid-PET increased the proportion of explained variance to 30.2 to 46.0% and 45.0 to 49.9%, respectively. Similarly, for the prediction of patient-level tau-PET ROI values, combining all 3 predictors significantly improved the variability explained (mean adjusted R2 range across studies = 0.118-0.148, 0.156-0.196, and 0.251-0.333 for connectivity alone, connectivity plus MAPT expression, and all 3 modalities combined, respectively). INTERPRETATION Across 3 study samples, combining the functional connectome and molecular properties substantially enhanced the explanatory power compared to single modalities, providing a valuable tool to explain regional susceptibility to tau deposition in AD. ANN NEUROL 2024;95:274-287.
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Affiliation(s)
- Lukai Zheng
- Institute for Stroke and Dementia Research, University Hospital, LMU, Munich, Germany
| | - Anna Rubinski
- Institute for Stroke and Dementia Research, University Hospital, LMU, Munich, Germany
| | - Jannis Denecke
- Institute for Stroke and Dementia Research, University Hospital, LMU, Munich, Germany
| | - Ying Luan
- Institute for Stroke and Dementia Research, University Hospital, LMU, Munich, Germany
- Department of Radiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Ruben Smith
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
| | - Olof Strandberg
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
| | - Erik Stomrud
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Rik Ossenkoppele
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
| | | | | | | | - Michael J Pontecorvo
- Eli Lilly and Company, Indianapolis, IN, USA
- Avid Radiopharmaceuticals, Philadelphia, PA, USA
| | - Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Nicolai Franzmeier
- Institute for Stroke and Dementia Research, University Hospital, LMU, Munich, Germany
- Munich Cluster for Systems Neurology, Munich, Germany
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Michael Ewers
- Institute for Stroke and Dementia Research, University Hospital, LMU, Munich, Germany
- German Center for Neurodegenerative Diseases, Munich, Germany
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34
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Quan YS, Li X, Pang L, Deng H, Chen F, Joon Lee J, Quan ZS, Liu P, Guo HY, Shen QK. Panaxadiol carbamate derivatives: Synthesis and biological evaluation as potential multifunctional anti-Alzheimer agents. Bioorg Chem 2024; 143:106977. [PMID: 38064805 DOI: 10.1016/j.bioorg.2023.106977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2023] [Revised: 11/08/2023] [Accepted: 11/15/2023] [Indexed: 01/24/2024]
Abstract
It is reported that panaxadiol has neuroprotective effects. Previous studies have found that compound with carbamate structure introduced at the 3-OH position of 20 (R) -panaxadiol showed the most effective neuroprotective activity with an EC50 of 13.17 μM. Therefore, we designed and synthesized a series of ginseng diol carbamate derivatives with ginseng diol as the lead compound, and tested their anti-AD activity. It was found that the protective effect of compound Q4 on adrenal pheochromocytoma was 80.6 ± 10.85 % (15 μM), and the EC50 was 4.32 μM. According to the ELISA results, Q4 reduced the expression of Aβ25-35 by decreasing β-secretase production. Molecular docking studies revealed that the binding affinity of Q4 to β-secretase was -49.67 kcal/mol, indicating a strong binding affinity of Q4 to β-secretase. Western blotting showed that compound Q4 decreased IL-1β levels, which may contribute to its anti-inflammatory effect. Furthermore, compound Q4 exhibits anti-AD activities by reducing abnormal phosphorylation of tau protein and activation of the mitogen activated protein kinase pathway. The learning and memory deficits in mice treated with Q4in vivo were significantly alleviated. Therefore, Q4 may be a promising multifunctional drug for the treatment of AD, providing a new way for anti-AD drugs.
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Affiliation(s)
- Yin-Sheng Quan
- Key Laboratory of Natural Medicines of the Changbai Mountain, Ministry of Education, College of Pharmacy, Yanbian University, Yanji, Jilin 133002, China
| | - Xiaoting Li
- Key Laboratory of Natural Medicines of the Changbai Mountain, Ministry of Education, College of Pharmacy, Yanbian University, Yanji, Jilin 133002, China
| | - Lei Pang
- Department of Clinical Research Center, Dazhou Central Hospital, Dazhou, Sichuan, China
| | - Hao Deng
- Key Laboratory of Natural Medicines of the Changbai Mountain, Ministry of Education, College of Pharmacy, Yanbian University, Yanji, Jilin 133002, China
| | - Fener Chen
- Engineering Center of Catalysis and Synthesis for Chiral Molecules, Department of Chemistry, Fudan University, Shanghai 200433, China
| | - Jung Joon Lee
- Key Laboratory of Natural Medicines of the Changbai Mountain, Ministry of Education, College of Pharmacy, Yanbian University, Yanji, Jilin 133002, China
| | - Zhe-Shan Quan
- Key Laboratory of Natural Medicines of the Changbai Mountain, Ministry of Education, College of Pharmacy, Yanbian University, Yanji, Jilin 133002, China
| | - Peng Liu
- Department of Pharmacology, Life Science and Biopharmaceutics School, Shenyang Pharmaceutical University, Shenyang 110016, China.
| | - Hong-Yan Guo
- Key Laboratory of Natural Medicines of the Changbai Mountain, Ministry of Education, College of Pharmacy, Yanbian University, Yanji, Jilin 133002, China.
| | - Qing-Kun Shen
- Key Laboratory of Natural Medicines of the Changbai Mountain, Ministry of Education, College of Pharmacy, Yanbian University, Yanji, Jilin 133002, China.
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35
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Panwar A, Rentsendorj A, Jhun M, Cohen RM, Cordner R, Gull N, Pechnick RN, Duvall G, Mardiros A, Golchian D, Schubloom H, Jin LW, Van Dam D, Vermeiren Y, De Reu H, De Deyn PP, Raskatov JA, Black KL, Irvin DK, Williams BA, Wheeler CJ. Antigen-specific age-related memory CD8 T cells induce and track Alzheimer's-like neurodegeneration. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.22.576704. [PMID: 38328072 PMCID: PMC10849535 DOI: 10.1101/2024.01.22.576704] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/09/2024]
Abstract
Cerebral (Aβ) plaque and (pTau) tangle deposition are hallmarks of Alzheimer's disease (AD), yet are insufficient to confer complete AD-like neurodegeneration experimentally. Factors acting upstream of Aβ/pTau in AD remain unknown, but their identification could enable earlier diagnosis and more effective treatments. T cell abnormalities are emerging AD hallmarks, and CD8 T cells were recently found to mediate neurodegeneration downstream of tangle deposition in hereditary neurodegeneration models. The precise impact of T cells downstream of Aβ/fibrillar pTau, however, appears to vary depending on the animal model used. Our prior work suggested that antigen-specific memory CD8 T (" hi T") cells act upstream of Aβ/pTau after brain injury. Here we examine whether hi T cells influence sporadic AD-like pathophysiology upstream of Aβ/pTau. Examining neuropathology, gene expression, and behavior in our hi T mouse model we show that CD8 T cells induce plaque and tangle-like deposition, modulate AD-related genes, and ultimately result in progressive neurodegeneration with both gross and fine features of sporadic human AD. T cells required Perforin to initiate this pathophysiology, and IFNγ for most gene expression changes and progression to more widespread neurodegenerative disease. Analogous antigen-specific memory CD8 T cells were significantly elevated in the brains of human AD patients, and their loss from blood corresponded to sporadic AD and related cognitive decline better than plasma pTau-217, a promising AD biomarker candidate. Our work is the first to identify an age-related factor acting upstream of Aβ/pTau to initiate AD-like pathophysiology, the mechanisms promoting its pathogenicity, and its relevance to human sporadic AD. Significance Statement This study changes our view of Alzheimer's Disease (AD) initiation and progression. Mutations promoting cerebral beta-amyloid (Aβ) deposition guarantee rare genetic forms of AD. Thus, the prevailing hypothesis has been that Aβ is central to initiation and progression of all AD, despite contrary animal and patient evidence. We show that age-related T cells generate neurodegeneration with compelling features of AD in mice, with distinct T cell functions required for pathological initiation and neurodegenerative progression. Knowledge from these mice was applied to successfully predict previously unknown features of human AD and generate novel tools for its clinical management.
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36
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Bartosch AMW, Youth EHH, Hansen S, Wu Y, Buchanan HM, Kaufman ME, Xiao H, Koo SY, Ashok A, Sivakumar S, Soni RK, Dumitrescu LC, Lam TG, Ropri AS, Lee AJ, Klein HU, Vardarajan BN, Bennett DA, Young-Pearse TL, De Jager PL, Hohman TJ, Sproul AA, Teich AF. ZCCHC17 Modulates Neuronal RNA Splicing and Supports Cognitive Resilience in Alzheimer's Disease. J Neurosci 2024; 44:e2324222023. [PMID: 38050142 PMCID: PMC10860597 DOI: 10.1523/jneurosci.2324-22.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 09/22/2023] [Accepted: 11/07/2023] [Indexed: 12/06/2023] Open
Abstract
ZCCHC17 is a putative master regulator of synaptic gene dysfunction in Alzheimer's disease (AD), and ZCCHC17 protein declines early in AD brain tissue, before significant gliosis or neuronal loss. Here, we investigate the function of ZCCHC17 and its role in AD pathogenesis using data from human autopsy tissue (consisting of males and females) and female human cell lines. Co-immunoprecipitation (co-IP) of ZCCHC17 followed by mass spectrometry analysis in human iPSC-derived neurons reveals that ZCCHC17's binding partners are enriched for RNA-splicing proteins. ZCCHC17 knockdown results in widespread RNA-splicing changes that significantly overlap with splicing changes found in AD brain tissue, with synaptic genes commonly affected. ZCCHC17 expression correlates with cognitive resilience in AD patients, and we uncover an APOE4-dependent negative correlation of ZCCHC17 expression with tangle burden. Furthermore, a majority of ZCCHC17 interactors also co-IP with known tau interactors, and we find a significant overlap between alternatively spliced genes in ZCCHC17 knockdown and tau overexpression neurons. These results demonstrate ZCCHC17's role in neuronal RNA processing and its interaction with pathology and cognitive resilience in AD, and suggest that the maintenance of ZCCHC17 function may be a therapeutic strategy for preserving cognitive function in the setting of AD pathology.
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Affiliation(s)
- Anne Marie W Bartosch
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, New York 10032
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, New York 10032
| | - Elliot H H Youth
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, New York 10032
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, New York 10032
| | - Shania Hansen
- Department of Neurology, Vanderbilt Memory & Alzheimer's Center, Vanderbilt University Medical Center, Nashville, Tennessee 37232
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee 37232
| | - Yiyang Wu
- Department of Neurology, Vanderbilt Memory & Alzheimer's Center, Vanderbilt University Medical Center, Nashville, Tennessee 37232
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee 37232
| | - Heather M Buchanan
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, New York 10032
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, New York 10032
| | - Maria E Kaufman
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, New York 10032
| | - Harrison Xiao
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, New York 10032
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, New York 10032
| | - So Yeon Koo
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, New York 10032
| | - Archana Ashok
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, New York 10032
| | - Sharanya Sivakumar
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, New York 10032
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, New York 10032
| | - Rajesh K Soni
- Proteomics and Macromolecular Crystallography Shared Resource, Herbert Irving Comprehensive Cancer Center, New York, New York 10032
| | - Logan C Dumitrescu
- Department of Neurology, Vanderbilt Memory & Alzheimer's Center, Vanderbilt University Medical Center, Nashville, Tennessee 37232
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee 37232
| | - Tiffany G Lam
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, New York 10032
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, New York 10032
| | - Ali S Ropri
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, New York 10032
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, New York 10032
| | - Annie J Lee
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, New York 10032
- Department of Neurology, Center for Translational & Computational Neuroimmunology, Columbia University Irving Medical Center, New York Presbyterian Hospital, New York, New York 10032
| | - Hans-Ulrich Klein
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, New York 10032
- Department of Neurology, Center for Translational & Computational Neuroimmunology, Columbia University Irving Medical Center, New York Presbyterian Hospital, New York, New York 10032
| | - Badri N Vardarajan
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, New York 10032
- Department of Neurology, Columbia University Irving Medical Center, New York Presbyterian Hospital, New York, New York 10032
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois 60612
| | - Tracy L Young-Pearse
- Department of Neurology, Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115
- Harvard Stem Cell Institute, Harvard University, Cambridge, Massachusetts 02138
| | - Philip L De Jager
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, New York 10032
- Department of Neurology, Center for Translational & Computational Neuroimmunology, Columbia University Irving Medical Center, New York Presbyterian Hospital, New York, New York 10032
| | - Timothy J Hohman
- Department of Neurology, Vanderbilt Memory & Alzheimer's Center, Vanderbilt University Medical Center, Nashville, Tennessee 37232
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee 37232
| | - Andrew A Sproul
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, New York 10032
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, New York 10032
| | - Andrew F Teich
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, New York 10032
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, New York 10032
- Department of Neurology, Columbia University Irving Medical Center, New York Presbyterian Hospital, New York, New York 10032
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Zhang T, Kim BM, Lee TH. Death-associated protein kinase 1 as a therapeutic target for Alzheimer's disease. Transl Neurodegener 2024; 13:4. [PMID: 38195518 PMCID: PMC10775678 DOI: 10.1186/s40035-023-00395-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Accepted: 12/18/2023] [Indexed: 01/11/2024] Open
Abstract
Alzheimer's disease (AD) is the most prevalent form of dementia in the elderly and represents a major clinical challenge in the ageing society. Neuropathological hallmarks of AD include neurofibrillary tangles composed of hyperphosphorylated tau, senile plaques derived from the deposition of amyloid-β (Aβ) peptides, brain atrophy induced by neuronal loss, and synaptic dysfunctions. Death-associated protein kinase 1 (DAPK1) is ubiquitously expressed in the central nervous system. Dysregulation of DAPK1 has been shown to contribute to various neurological diseases including AD, ischemic stroke and Parkinson's disease (PD). We have established an upstream effect of DAPK1 on Aβ and tau pathologies and neuronal apoptosis through kinase-mediated protein phosphorylation, supporting a causal role of DAPK1 in the pathophysiology of AD. In this review, we summarize current knowledge about how DAPK1 is involved in various AD pathological changes including tau hyperphosphorylation, Aβ deposition, neuronal cell death and synaptic degeneration. The underlying molecular mechanisms of DAPK1 dysregulation in AD are discussed. We also review the recent progress regarding the development of novel DAPK1 modulators and their potential applications in AD intervention. These findings substantiate DAPK1 as a novel therapeutic target for the development of multifunctional disease-modifying treatments for AD and other neurological disorders.
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Affiliation(s)
- Tao Zhang
- Fujian Key Laboratory of Translational Research in Cancer and Neurodegenerative Diseases, Institute of Basic Medicine, School of Basic Medical Sciences, Fujian Medical University, 1 Xuefu North Road, Fuzhou, 350122, Fujian, China
| | - Byeong Mo Kim
- Research Center for New Drug Development, AgingTarget Inc., 10F Ace Cheonggye Tower, 53, Seonggogae-Ro, Uiwang-Si, 16006, Gyeonggi-Do, Korea.
| | - Tae Ho Lee
- Fujian Key Laboratory of Translational Research in Cancer and Neurodegenerative Diseases, Institute of Basic Medicine, School of Basic Medical Sciences, Fujian Medical University, 1 Xuefu North Road, Fuzhou, 350122, Fujian, China.
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Malik R, Kalra S, Pooja, Singh G, Meenu, Gahlot V, Kajal A, Rimpy. Antioxidative and neuroprotective potential of Acorus calamus linn. and Cordia dichotoma G. Forst. In Alzheimer's type dementia in rodent. Brain Res 2024; 1822:148616. [PMID: 37793605 DOI: 10.1016/j.brainres.2023.148616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2023] [Revised: 09/13/2023] [Accepted: 09/30/2023] [Indexed: 10/06/2023]
Abstract
The goal of this research study was to see how plant extracts of Acorus calamus Linn. and Cordia dichotoma G. Forst. overcome scopolamine-induced Alzheimer's type dementia in mice by activating the cholinergic system, anti-oxidant and protection of neuronal death in the brain (hippocampus region). Scopolamine (1 mg/kg i.p.) reduced mice's routine in behavioral parameters such as Morris Water Maze (MWM), Elevated Plus Maze (EPM), and also the locomotor activity. It also decreases antioxidant levels such as Reduced glutathione (GSH) and also Superoxide dismutase (SOD) but also increases the level of Acetylcholinesterase enzyme (AChE) in brain. Assessment of various behavioral, and biochemical parameters (AChE, SOD, GSH, and Nitrite level) were compared with each group. Acorus calamus (hydro-alcoholic 1:1) 600 mg/kg p.o. and the combination (Acorus calamus 600 mg/kg p.o. + Cordia dichotoma 750 mg/kg p.o.) group showed significant results as compared to Cordia dichotoma 750 mg/kg p.o.in behavioral as well as in biochemical parameters. Histological studies showed significant neuroprotection in the Acorus calamus-treated group and the combination-treated groups. In the future, the Acorus calamus and the combination are possibly helpful in the treatment of various cognitive disorders or it may be valuable to investigate the pharmacological potential of such plant extracts during the treatment of neurodegenerative disorders.
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Affiliation(s)
- Rohit Malik
- Department of Pharmaceutical Sciences, Maharshi Dayanand University, Rohtak, Haryana, India; Gurugram Global College of Pharmacy, Gurugram, India.
| | - Sunishtha Kalra
- Department of Pharmaceutical Sciences, Maharshi Dayanand University, Rohtak, Haryana, India
| | - Pooja
- Department of Pharmaceutical Sciences, Central University of Haryana, Mahendergarh, Haryana, India
| | - Govind Singh
- Department of Pharmaceutical Sciences, Maharshi Dayanand University, Rohtak, Haryana, India.
| | - Meenu
- Department of Pharmaceutical Sciences, Maharshi Dayanand University, Rohtak, Haryana, India
| | - Vinod Gahlot
- HIMT College of Pharmacy, Knowledge Park - 1, Greater Noida, District - Gautam Buddh Nagar, U.P., 201310, India
| | - Anjali Kajal
- Baba Masthnath University, Rohtak, Haryana, India
| | - Rimpy
- Shandong First Medical University, China
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Simon SS, Varangis E, Lee S, Gu Y, Gazes Y, Razlighi QR, Habeck C, Stern Y. In vivo tau is associated with change in memory and processing speed, but not reasoning, in cognitively unimpaired older adults. Neurobiol Aging 2024; 133:28-38. [PMID: 38376885 PMCID: PMC10879688 DOI: 10.1016/j.neurobiolaging.2023.10.001] [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: 03/07/2023] [Revised: 08/30/2023] [Accepted: 10/01/2023] [Indexed: 02/21/2024]
Abstract
The relationship between tau deposition and cognitive decline in cognitively healthy older adults is still unclear. The tau PET tracer 18F-MK-6240 has shown favorable imaging characteristics to identify early tau deposition in aging. We evaluated the relationship between in vivo tau levels (18F-MK-6240) and retrospective cognitive change over 5 years in episodic memory, processing speed, and reasoning. For tau quantification, a set of regions of interest (ROIs) was selected a priori based on previous literature: (1) total-ROI comprising selected areas, (2) medial temporal lobe-ROI, and (3) lateral temporal lobe-ROI and cingulate/parietal lobe-ROI. Higher tau burden in most ROIs was associated with a steeper decline in memory and speed. There were no associations between tau and reasoning change. The novelty of this finding is that tau burden may affect not only episodic memory, a well-established finding but also processing speed. Our finding reinforces the notion that early tau deposition in areas related to Alzheimer's disease is associated with cognitive decline in cognitively unimpaired individuals, even in a sample with low amyloid-β pathology.
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Affiliation(s)
- Sharon Sanz Simon
- Cognitive Neuroscience Division, Department of Neurology, Columbia University, Vagelos College of Physicians and Surgeons, New York, NY, USA
| | - Eleanna Varangis
- School of Kinesiology, University of Michigan, Ann Arbor, MI, USA; Concussion Center, University of Michigan, Ann Arbor, MI, USA
| | - Seonjoo Lee
- Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Yian Gu
- Cognitive Neuroscience Division, Department of Neurology, Columbia University, Vagelos College of Physicians and Surgeons, New York, NY, USA; Department of Epidemiology, Joseph P. Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Yunglin Gazes
- Cognitive Neuroscience Division, Department of Neurology, Columbia University, Vagelos College of Physicians and Surgeons, New York, NY, USA
| | | | - Christian Habeck
- Cognitive Neuroscience Division, Department of Neurology, Columbia University, Vagelos College of Physicians and Surgeons, New York, NY, USA
| | - Yaakov Stern
- Cognitive Neuroscience Division, Department of Neurology, Columbia University, Vagelos College of Physicians and Surgeons, New York, NY, USA.
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Etekochay MO, Amaravadhi AR, González GV, Atanasov AG, Matin M, Mofatteh M, Steinbusch HW, Tesfaye T, Praticò D. Unveiling New Strategies Facilitating the Implementation of Artificial Intelligence in Neuroimaging for the Early Detection of Alzheimer's Disease. J Alzheimers Dis 2024; 99:1-20. [PMID: 38640152 DOI: 10.3233/jad-231135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/21/2024]
Abstract
Alzheimer's disease (AD) is a chronic neurodegenerative disorder with a global impact. The past few decades have witnessed significant strides in comprehending the underlying pathophysiological mechanisms and developing diagnostic methodologies for AD, such as neuroimaging approaches. Neuroimaging techniques, including positron emission tomography and magnetic resonance imaging, have revolutionized the field by providing valuable insights into the structural and functional alterations in the brains of individuals with AD. These imaging modalities enable the detection of early biomarkers such as amyloid-β plaques and tau protein tangles, facilitating early and precise diagnosis. Furthermore, the emerging technologies encompassing blood-based biomarkers and neurochemical profiling exhibit promising results in the identification of specific molecular signatures for AD. The integration of machine learning algorithms and artificial intelligence has enhanced the predictive capacity of these diagnostic tools when analyzing complex datasets. In this review article, we will highlight not only some of the most used diagnostic imaging approaches in neurodegeneration research but focus much more on new tools like artificial intelligence, emphasizing their application in the realm of AD. These advancements hold immense potential for early detection and intervention, thereby paving the way for personalized therapeutic strategies and ultimately augmenting the quality of life for individuals affected by AD.
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Affiliation(s)
| | - Amoolya Rao Amaravadhi
- Internal Medicine, Malla Reddy Institute of Medical Sciences, Jeedimetla, Hyderabad, India
| | - Gabriel Villarrubia González
- Expert Systems and Applications Laboratory (ESALAB), Faculty of Science, University of Salamanca, Salamanca, Spain
| | - Atanas G Atanasov
- Department of Biotechnology and Nutrigenomics, Institute of Genetics and Animal Biotechnology of the Polish Academy of Sciences, Jastrzebiec, Poland
- Ludwig Boltzmann Institute Digital Health and Patient Safety, Medical University of Vienna, Vienna, Austria
| | - Maima Matin
- Ludwig Boltzmann Institute Digital Health and Patient Safety, Medical University of Vienna, Vienna, Austria
| | - Mohammad Mofatteh
- School of Medicine, Dentistry, and Biomedical Sciences, Queen's University Belfast, Belfast, UK
| | - Harry Wilhelm Steinbusch
- Department of Cellular and Translational Neuroscience, School for Mental Health and Neuroscience, Faculty of Health Medicine and Life Sciences, Maastricht University, Netherlands
| | - Tadele Tesfaye
- CareHealth Medical Practice, Jimma Road, Addis Ababa, Ethiopia
| | - Domenico Praticò
- Alzheimer's Center at Temple, Lewis Katz School of Medicine, Temple University, Philadelphia, PA, USA
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Zammit MD, Betthauser TJ, McVea AK, Laymon CM, Tudorascu DL, Johnson SC, Hartley SL, Converse AK, Minhas DS, Zaman SH, Ances BM, Stone CK, Mathis CA, Cohen AD, Klunk WE, Handen BL, Christian BT. Characterizing the emergence of amyloid and tau burden in Down syndrome. Alzheimers Dement 2024; 20:388-398. [PMID: 37641577 PMCID: PMC10843570 DOI: 10.1002/alz.13444] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 07/14/2023] [Accepted: 07/23/2023] [Indexed: 08/31/2023]
Abstract
INTRODUCTION Almost all individuals with Down syndrome (DS) will develop neuropathological features of Alzheimer's disease (AD). Understanding AD biomarker trajectories is necessary for DS-specific clinical interventions and interpretation of drug-related changes in the disease trajectory. METHODS A total of 177 adults with DS from the Alzheimer's Biomarker Consortium-Down Syndrome (ABC-DS) underwent positron emission tomography (PET) and MR imaging. Amyloid-beta (Aβ) trajectories were modeled to provide individual-level estimates of Aβ-positive (A+) chronicity, which were compared against longitudinal tau change. RESULTS Elevated tau was observed in all NFT regions following A+ and longitudinal tau increased with respect to A+ chronicity. Tau increases in NFT regions I-III was observed 0-2.5 years following A+. Nearly all A+ individuals had tau increases in the medial temporal lobe. DISCUSSION These findings highlight the rapid accumulation of amyloid and early onset of tau relative to amyloid in DS and provide a strategy for temporally characterizing AD neuropathology progression that is specific to the DS population and independent of chronological age. HIGHLIGHTS Longitudinal amyloid trajectories reveal rapid Aβ accumulation in Down syndrome NFT stage tau was strongly associated with A+ chronicity Early longitudinal tau increases were observed 2.5-5 years after reaching A.
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Affiliation(s)
| | - Tobey J. Betthauser
- University of Wisconsin‐Madison Alzheimer's Disease Research CenterMadisonWisconsinUSA
- Department of MedicineUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Andrew K. McVea
- University of Wisconsin‐Madison Waisman CenterMadisonWisconsinUSA
| | - Charles M. Laymon
- Department of RadiologyUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Dana L. Tudorascu
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Sterling C. Johnson
- University of Wisconsin‐Madison Alzheimer's Disease Research CenterMadisonWisconsinUSA
- Department of MedicineUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Sigan L. Hartley
- University of Wisconsin‐Madison Waisman CenterMadisonWisconsinUSA
| | | | - Davneet S. Minhas
- Department of RadiologyUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Shahid H. Zaman
- Cambridge Intellectual Disability Research GroupUniversity of CambridgeCambridgeUK
| | - Beau M. Ances
- Department of NeurologyWashington University in St. LouisSt. LouisMissouriUSA
| | - Charles K. Stone
- Department of MedicineUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Chester A. Mathis
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Annie D. Cohen
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - William E. Klunk
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Benjamin L. Handen
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Bradley T. Christian
- University of Wisconsin‐Madison Waisman CenterMadisonWisconsinUSA
- Department of Medical PhysicsUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
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Khaled M, Al-Jamal H, Tajer L, El-Mir R. Alzheimer's Disease in Lebanon: Exploring Genetic and Environmental Risk Factors-A Comprehensive Review. J Alzheimers Dis 2024; 99:21-40. [PMID: 38640157 DOI: 10.3233/jad-231432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/21/2024]
Abstract
Alzheimer's disease (AD) is a neurodegenerative condition that displays a high prevalence in Lebanon causing a local burden in healthcare and socio-economic sectors. Unfortunately, the lack of prevalence studies and clinical trials in Lebanon minimizes the improvement of AD patient health status. In this review, we include over 155 articles to cover the different aspects of AD ranging from mechanisms to possible treatment and management tools. We highlight some important modifiable and non-modifiable risk factors of the disease including genetics, age, cardiovascular diseases, smoking, etc. Finally, we propose a hypothetical genetic synergy model between APOE4 and TREM2 genes which constitutes a potential early diagnostic tool that helps in reducing the risk of AD based on preventative measures decades before cognitive decline. The studies on AD in Lebanon and the Middle East are scarce. This review points out the importance of genetic mapping in the understanding of disease pathology which is crucial for the emergence of novel diagnostic tools. Hence, we establish a rigid basis for further research to identify the most influential genetic and environmental risk factors for the purpose of using more specific diagnostic tools and possibly adopting a local management protocol.
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Affiliation(s)
| | - Hadi Al-Jamal
- Faculty of Public Health III, Lebanese University, Tripoli, Lebanon
| | - Layla Tajer
- Faculty of Public Health III, Lebanese University, Tripoli, Lebanon
| | - Reem El-Mir
- Faculty of Public Health III, Lebanese University, Tripoli, Lebanon
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Acharya NK, Grossman HC, Clifford PM, Levin EC, Light KR, Choi H, Swanson Ii RL, Kosciuk MC, Venkataraman V, Libon DJ, Matzel LD, Nagele RG. A Chronic Increase in Blood-Brain Barrier Permeability Facilitates Intraneuronal Deposition of Exogenous Bloodborne Amyloid-Beta1-42 Peptide in the Brain and Leads to Alzheimer's Disease-Relevant Cognitive Changes in a Mouse Model. J Alzheimers Dis 2024; 98:163-186. [PMID: 38393907 DOI: 10.3233/jad-231028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/25/2024]
Abstract
Background Increased blood-brain barrier (BBB) permeability and amyloid-β (Aβ) peptides (especially Aβ1-42) (Aβ42) have been linked to Alzheimer's disease (AD) pathogenesis, but the nature of their involvement in AD-related neuropathological changes leading to cognitive changes remains poorly understood. Objective To test the hypothesis that chronic extravasation of bloodborne Aβ42 peptide and brain-reactive autoantibodies and their entry into the brain parenchyma via a permeable BBB contribute to AD-related pathological changes and cognitive changes in a mouse model. Methods The BBB was rendered chronically permeable through repeated injections of Pertussis toxin (PT), and soluble monomeric, fluorescein isothiocyanate (FITC)-labeled or unlabeled Aβ42 was injected into the tail-vein of 10-month-old male CD1 mice at designated intervals spanning ∼3 months. Acquisition of learned behaviors and long-term retention were assessed via a battery of cognitive and behavioral tests and linked to neuropathological changes. Results Mice injected with both PT and Aβ42 demonstrated a preferential deficit in the capacity for long-term retention and an increased susceptibility to interference in selective attention compared to mice exposed to PT or saline only. Immunohistochemical analyses revealed increased BBB permeability and entry of bloodborne Aβ42 and immunoglobulin G (IgG) into the brain parenchyma, selective neuronal binding of IgG and neuronal accumulation of Aβ42 in animals injected with both PT and Aβ42 compared to controls. Conclusion Results highlight the potential synergistic role of BBB compromise and the influx of bloodborne Aβ42 into the brain in both the initiation and progression of neuropathologic and cognitive changes associated with AD.
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Affiliation(s)
- Nimish K Acharya
- Department of Geriatrics and Gerontology, New Jersey Institute for Successful Aging, Rowan-Virtua School of Osteopathic Medicine, Rowan University, Stratford, NJ, USA
- Department of Cell Biology and Neuroscience, Rowan-Virtua School of Osteopathic Medicine, Rowan University, Stratford, NJ, USA
- Center for Neurotrauma, Neurodegeneration and Restoration, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
- Biomarker Discovery Center, New Jersey Institute for Successful Aging (NJISA), Rowan-Virtua School of Osteopathic Medicine, Stratford, NJ, USA
- Rowan-Virtua Graduate School of Biomedical Sciences, Stratford, NJ, USA
- Rowan-Virtua School of Translational Biomedical Engineering and Sciences, Rowan University, Glassboro, NJ, USA
| | - Henya C Grossman
- Department of Psychology, Rutgers University, Piscataway, NJ, USA
| | - Peter M Clifford
- Department of Geriatrics and Gerontology, New Jersey Institute for Successful Aging, Rowan-Virtua School of Osteopathic Medicine, Rowan University, Stratford, NJ, USA
- HNL Lab Medicine, Allentown, PA, USA
| | - Eli C Levin
- Department of Geriatrics and Gerontology, New Jersey Institute for Successful Aging, Rowan-Virtua School of Osteopathic Medicine, Rowan University, Stratford, NJ, USA
- Department of Graduate Medical Education, Bayhealth Medical Center, Dover, DE, USA
| | - Kenneth R Light
- Department of Psychology, Barnard College of Columbia University, New York, NY, USA
| | - Hana Choi
- Rowan-Virtua Graduate School of Biomedical Sciences, Stratford, NJ, USA
| | - Randel L Swanson Ii
- Center for Neurotrauma, Neurodegeneration and Restoration, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
- Rehab Medicine Service, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
- Department of Physical Medicine and Rehabilitation, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Mary C Kosciuk
- Department of Geriatrics and Gerontology, New Jersey Institute for Successful Aging, Rowan-Virtua School of Osteopathic Medicine, Rowan University, Stratford, NJ, USA
| | - Venkat Venkataraman
- Department of Cell Biology and Neuroscience, Rowan-Virtua School of Osteopathic Medicine, Rowan University, Stratford, NJ, USA
- Department of Academic and Student Affairs, Rowan-Virtua School of Osteopathic Medicine, Stratford, NJ, USA
| | - David J Libon
- Department of Geriatrics and Gerontology, New Jersey Institute for Successful Aging, Rowan-Virtua School of Osteopathic Medicine, Rowan University, Stratford, NJ, USA
- Department of Psychology, Rowan University, Glassboro, NJ, USA
| | - Louis D Matzel
- Department of Psychology, Rutgers University, Piscataway, NJ, USA
| | - Robert G Nagele
- Department of Geriatrics and Gerontology, New Jersey Institute for Successful Aging, Rowan-Virtua School of Osteopathic Medicine, Rowan University, Stratford, NJ, USA
- Biomarker Discovery Center, New Jersey Institute for Successful Aging (NJISA), Rowan-Virtua School of Osteopathic Medicine, Stratford, NJ, USA
- Rowan-Virtua Graduate School of Biomedical Sciences, Stratford, NJ, USA
- Rowan-Virtua School of Translational Biomedical Engineering and Sciences, Rowan University, Glassboro, NJ, USA
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Mohaupt P, Vialaret J, Hirtz C, Lehmann S. Increasing the sensitivity of Simoa via bead count reduction facilitates the quantification of pTau-181 in dried plasma spots. ALZHEIMER'S & DEMENTIA (NEW YORK, N. Y.) 2024; 10:e12456. [PMID: 38476928 PMCID: PMC10927909 DOI: 10.1002/trc2.12456] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Accepted: 01/22/2024] [Indexed: 03/14/2024]
Abstract
Introduction The exclusion of affected populations from Alzheimer's disease (AD) clinical research limits our understanding of disease heterogeneity and its impact on clinical care. While micro sampling with dried plasma spots (DPS) can promote inclusivity by enabling sample collection in remote areas, current techniques lack the sensitivity required for the quantification of phosphorylated tau at Thr181 (pTau-181) in DPS extracts. Methods We developed an assay for pTau-181 with reduced bead count and improved bead read efficiency (BRE) using a prototype Simoa instrument. This novel assay's performance was evaluated against standard pTau-181 assays on two Simoa platforms, and DPS extracts were tested for pTau-181 quantification feasibility. Results The novel assay quantifies pTau-181 at concentrations up to 16x lower than traditional pTau-181 assays on HD-X and SR-X platforms. DPS extracts tested with our low-bead assay were quantified considerably above the lower limit of quantification (LLOQ), indicating the suitability of this assay for future DPS extract measurements. Discussion Implementing DPS sampling and pTau-181 quantification could increase participation from underrepresented groups in AD research. However, additional assay optimization and an in-depth study of preanalytical sample stability are essential for the transition to clinical applicability.
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Affiliation(s)
- Pablo Mohaupt
- LBPC-PPC Université de Montpellier IRMB CHU de Montpellier INM INSERM Montpellier France
| | - Jérôme Vialaret
- LBPC-PPC Université de Montpellier IRMB CHU de Montpellier INM INSERM Montpellier France
| | - Christophe Hirtz
- LBPC-PPC Université de Montpellier IRMB CHU de Montpellier INM INSERM Montpellier France
| | - Sylvain Lehmann
- LBPC-PPC Université de Montpellier IRMB CHU de Montpellier INM INSERM Montpellier France
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Wang X, Sundermann EE, Buckley RF, Banks SJ. Sex differences in the association between tau PET and cognitive performance in a non-Hispanic White cohort with preclinical AD. Alzheimers Dement 2024; 20:25-33. [PMID: 37641484 PMCID: PMC10916995 DOI: 10.1002/alz.13432] [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: 03/03/2023] [Revised: 07/21/2023] [Accepted: 07/27/2023] [Indexed: 08/31/2023]
Abstract
INTRODUCTION We investigated how the associations between tau and cognitive measures differ by sex in the preclinical Alzheimer's disease (AD) stage. METHODS A total of 343 cognitively unimpaired, amyloid-positive individuals (205 women, 138 men) who self-identified as non-Hispanic White from the Anti-Amyloid Treatment in Asymptomatic Alzheimer's (A4) Study were included. We assessed sex-stratified associations between 18 F-flortaucipir positron emission tomography (PET) standardized uptake value ratio (SUVR) in the meta-temporal region and Preclinical Alzheimer's Cognitive Composite (PACC) and Computerized Cognitive Composite (C3) components. RESULTS We observed that higher tau level was significantly associated with worse cognitive performance only in women: PACC and its components except for Mini-Mental State Examination (MMSE) and C3 components: First Letter Name Recall (FNLT) and One-Card Learning Reaction Time (OCL RT). These associations except for FNLT were apolipoprotein E (APOE) ε4 independent. DISCUSSION Women show stronger associations between tau PET and cognitive outcomes in preclinical AD. These findings have important implications for sex-specific tau-targeted preventive AD clinical trials. HIGHLIGHTS The tau positron emission tomography (PET) signal in the meta-temporal region was associated with poor cognitive performance in preclinical Alzheimer's disease (AD). After sex stratification, the associations between regional tau PET and cognitive outcomes were observed only in women. The associations between tau PET and some cognitive outcomes were independent of apolipoprotein E (APOE) ε4.
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Affiliation(s)
- Xin Wang
- Department of NeurosciencesUniversity of CaliforniaSan DiegoCaliforniaUSA
| | | | - Rachel F. Buckley
- Department of NeurologyMassachusetts General Hospital/Harvard Medical SchoolBostonMassachusettsUSA
| | - Sarah J. Banks
- Department of NeurosciencesUniversity of CaliforniaSan DiegoCaliforniaUSA
- Department of PsychiatryUniversity of CaliforniaSan DiegoCaliforniaUSA
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Avelar-Pereira B, Phillips CM, Hosseini SMH. Convergence of Accelerated Brain Volume Decline in Normal Aging and Alzheimer's Disease Pathology. J Alzheimers Dis 2024; 101:249-258. [PMID: 39177595 DOI: 10.3233/jad-231458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/24/2024]
Abstract
Background Age represents the largest risk factor for Alzheimer's disease (AD) but is typically treated as a covariate. Still, there are similarities between brain regions affected in AD and those showing accelerated decline in normal aging, suggesting that the distinction between the two might fall on a spectrum. Objective Our goal was to identify regions showing accelerated atrophy across the brain and investigate whether these overlapped with regions involved in AD or where related to amyloid. Methods We used a longitudinal sample of 137 healthy older adults from the Alzheimer's Disease Neuroimaging Initiative (ADNI), who underwent magnetic resonance imaging (MRI). In addition, a total of 79 participants also had longitudinal positron emission tomography (PET) data. We computed linear-mixed effects models for brain regions declining faster than the average to investigate variability in the rate of change. Results 23 regions displayed a 0.5 standard deviation (SD) above average decline over 2 years. Of these, 52% overlapped with regions showing similar decline in a matched AD sample. Beyond this, the left precuneus, right superior frontal, transverse temporal, and superior temporal sulcus showed accelerated decline. Lastly, atrophy in the precuneus was associated with increased amyloid load. Conclusions Accelerated decline in normal aging might contribute to the detection of early signs of AD among healthy individuals.
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Affiliation(s)
- Bárbara Avelar-Pereira
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, CA, USA
- Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Curran Michael Phillips
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, CA, USA
| | - S M Hadi Hosseini
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, CA, USA
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Cisterna-García A, Beric A, Ali M, Pardo JA, Chen HH, Fernandez MV, Norton J, Gentsch J, Bergmann K, Budde J, Perlmutter JS, Morris JC, Cruchaga C, Botia JA, Ibanez L. Cell-free RNA signatures predict Alzheimer's disease. iScience 2023; 26:108534. [PMID: 38089583 PMCID: PMC10711471 DOI: 10.1016/j.isci.2023.108534] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 11/09/2023] [Accepted: 11/20/2023] [Indexed: 02/01/2024] Open
Abstract
There is a need for affordable, scalable, and specific blood-based biomarkers for Alzheimer's disease that can be applied to a population level. We have developed and validated disease-specific cell-free transcriptomic blood-based biomarkers composed by a scalable number of transcripts that capture AD pathobiology even in the presymptomatic stages of the disease. Accuracies are in the range of the current CSF and plasma biomarkers, and specificities are high against other neurodegenerative diseases.
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Affiliation(s)
- Alejandro Cisterna-García
- Department of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- Departamento de Ingeniería de la Información y las Comunicaciones, Universidad de Murcia, Murcia, Spain
- NeuroGenomics and Informatics Center, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - Aleksandra Beric
- Department of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - Muhammad Ali
- Department of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - Jose Adrian Pardo
- Departamento de Ingeniería de la Información y las Comunicaciones, Universidad de Murcia, Murcia, Spain
| | - Hsiang-Han Chen
- Department of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - Maria Victoria Fernandez
- Department of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - Joanne Norton
- Department of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- The Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University in Saint Louis, Saint Louis, MO, USA
| | - Jen Gentsch
- Department of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- The Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University in Saint Louis, Saint Louis, MO, USA
| | - Kristy Bergmann
- Department of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - John Budde
- Department of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - Joel S. Perlmutter
- Department of Neurology, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- Hope Center for Neurological Disorders, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- Department of Radiology, Neuroscience, Physical Therapy, and Occupational Therapy, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - John C. Morris
- The Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University in Saint Louis, Saint Louis, MO, USA
- Department of Neurology, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- Department of Pathology and Immunology, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - Carlos Cruchaga
- Department of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- The Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University in Saint Louis, Saint Louis, MO, USA
- Department of Neurology, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- Hope Center for Neurological Disorders, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- Department of Genetics, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - Juan A. Botia
- Departamento de Ingeniería de la Información y las Comunicaciones, Universidad de Murcia, Murcia, Spain
| | - Laura Ibanez
- Department of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- Department of Neurology, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
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Rani N, Alm KH, Corona-Long CA, Speck CL, Soldan A, Pettigrew C, Zhu Y, Albert M, Bakker A. Tau PET burden in Brodmann areas 35 and 36 is associated with individual differences in cognition in non-demented older adults. Front Aging Neurosci 2023; 15:1272946. [PMID: 38161595 PMCID: PMC10757623 DOI: 10.3389/fnagi.2023.1272946] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Accepted: 10/23/2023] [Indexed: 01/03/2024] Open
Abstract
Introduction The accumulation of neurofibrillary tau tangles, a neuropathological hallmark of Alzheimer's disease (AD), occurs in medial temporal lobe (MTL) regions early in the disease process, with some of the earliest deposits localized to subregions of the entorhinal cortex. Although functional specialization of entorhinal cortex subregions has been reported, few studies have considered functional associations with localized tau accumulation. Methods In this study, stepwise linear regressions were used to examine the contributions of regional tau burden in specific MTL subregions, as measured by 18F-MK6240 PET, to individual variability in cognition. Dependent measures of interest included the Clinical Dementia Rating Sum of Boxes (CDR-SB), Mini Mental State Examination (MMSE), and composite scores of delayed episodic memory and language. Other model variables included age, sex, education, APOE4 status, and global amyloid burden, indexed by 11C-PiB. Results Tau burden in right Brodmann area 35 (BA35), left and right Brodmann area 36 (BA36), and age each uniquely contributed to the proportion of explained variance in CDR-SB scores, while right BA36 and age were also significant predictors of MMSE scores, and right BA36 was significantly associated with delayed episodic memory performance. Tau burden in both left and right BA36, along with education, uniquely contributed to the proportion of explained variance in language composite scores. Importantly, the addition of more inclusive ROIs, encompassing less granular segmentation of the entorhinal cortex, did not significantly contribute to explained variance in cognition across any of the models. Discussion These findings suggest that the ability to quantify tau burden in more refined MTL subregions may better account for individual differences in cognition, which may improve the identification of non-demented older adults who are on a trajectory of decline due to AD.
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Affiliation(s)
- Nisha Rani
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Kylie H. Alm
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Caitlin A. Corona-Long
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Caroline L. Speck
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Anja Soldan
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Corinne Pettigrew
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Yuxin Zhu
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Marilyn Albert
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Arnold Bakker
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
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Li K, Luo X, Zeng Q, Liu X, Li J, Zhong S, Zhang X, Xu X, Wang S, Hong H, Jiaerken Y, Liu Z, Zhao S, Huang P, Zhang M, Chen Y. Gray matter structural covariance networks patterns associated with autopsy-confirmed LATE-NC compared to Alzheimer's disease pathology. Neurobiol Dis 2023; 189:106354. [PMID: 37977431 DOI: 10.1016/j.nbd.2023.106354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Revised: 11/14/2023] [Accepted: 11/14/2023] [Indexed: 11/19/2023] Open
Abstract
BACKGROUND Cases with the limbic-predominant age-related TAR DNA-binding protein 43 (TDP-43) encephalopathy neuropathologic change (LATE-NC), Alzheimer's disease (AD), and mixed AD+TDP-43 pathology (AD+LATE-NC) share similar symptoms, which makes it a challenge for accurate diagnosis. Exploring the patterns of gray matter structural covariance networks (SCNs) in these three types may help to clarify the underlying mechanism and provide a basis for clinical interventions. METHODS We included ante-mortem MRI data of 10 LATE-NC, 39 AD, and 25 AD+LATE-NC from the ADNI autopsy sample. We used four regions of interest (left posterior cingulate cortex, right entorhinal cortex, frontoinsular and dorsolateral prefrontal cortex) to anchor the default mode network (DMN), salience network (SN), and executive control network (ECN). Finally, we assessed the SCN alternations using a multi-regression model-based linear-interaction analysis. RESULTS Cases with autopsy-confirmed LATE-NC and AD showed increased structural associations involving DMN, ECN, and SN. Cases with AD+LATE-NC showed increased structural association within DMN while decreased structural association between DMN and ECN. The volume of peak clusters showed significant associations with cognition and AD pathology. CONCLUSIONS This study showed different SCN patterns in the cases with LATE-NC, AD, and AD+LATE-NC, and indicated the network disconnection mechanism underlying these three neuropathological progressions. Further, SCN may serve as an effective biomarker to distinguish between different types of dementia.
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Affiliation(s)
- Kaicheng Li
- Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Xiao Luo
- Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Qingze Zeng
- Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Xiaocao Liu
- Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Jixuan Li
- Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Siyan Zhong
- Department of Neurology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Xinyi Zhang
- Department of Neurology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Xiaopei Xu
- Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Shuyue Wang
- Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Hui Hong
- Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Yerfan Jiaerken
- Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Zhirong Liu
- Department of Neurology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Shuai Zhao
- Department of Neurology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Peiyu Huang
- Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Minming Zhang
- Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Yanxing Chen
- Department of Neurology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
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Burnham SC, Iaccarino L, Pontecorvo MJ, Fleisher AS, Lu M, Collins EC, Devous MD. A review of the flortaucipir literature for positron emission tomography imaging of tau neurofibrillary tangles. Brain Commun 2023; 6:fcad305. [PMID: 38187878 PMCID: PMC10768888 DOI: 10.1093/braincomms/fcad305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 09/13/2023] [Accepted: 11/14/2023] [Indexed: 01/09/2024] Open
Abstract
Alzheimer's disease is defined by the presence of β-amyloid plaques and neurofibrillary tau tangles potentially preceding clinical symptoms by many years. Previously only detectable post-mortem, these pathological hallmarks are now identifiable using biomarkers, permitting an in vivo definitive diagnosis of Alzheimer's disease. 18F-flortaucipir (previously known as 18F-T807; 18F-AV-1451) was the first tau positron emission tomography tracer to be introduced and is the only Food and Drug Administration-approved tau positron emission tomography tracer (Tauvid™). It has been widely adopted and validated in a number of independent research and clinical settings. In this review, we present an overview of the published literature on flortaucipir for positron emission tomography imaging of neurofibrillary tau tangles. We considered all accessible peer-reviewed literature pertaining to flortaucipir through 30 April 2022. We found 474 relevant peer-reviewed publications, which were organized into the following categories based on their primary focus: typical Alzheimer's disease, mild cognitive impairment and pre-symptomatic populations; atypical Alzheimer's disease; non-Alzheimer's disease neurodegenerative conditions; head-to-head comparisons with other Tau positron emission tomography tracers; and technical considerations. The available flortaucipir literature provides substantial evidence for the use of this positron emission tomography tracer in assessing neurofibrillary tau tangles in Alzheimer's disease and limited support for its use in other neurodegenerative disorders. Visual interpretation and quantitation approaches, although heterogeneous, mostly converge and demonstrate the high diagnostic and prognostic value of flortaucipir in Alzheimer's disease.
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Affiliation(s)
| | | | | | | | - Ming Lu
- Avid, Eli Lilly and Company, Philadelphia, PA 19104, USA
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