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Driscoll IF, Lose S, Ma Y, Bendlin BB, Gallagher C, Johnson SC, Asthana S, Hermann B, Sager MA, Blennow K, Zetterberg H, Carlsson C, Kollmorgen G, Quijano‐Rubio C, Dubal D, Okonkwo OC. KLOTHO KL-VS heterozygosity is associated with diminished age-related neuroinflammation, neurodegeneration, and synaptic dysfunction in older cognitively unimpaired adults. Alzheimers Dement 2024; 20:5347-5356. [PMID: 39030746 PMCID: PMC11350058 DOI: 10.1002/alz.13912] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Revised: 04/12/2024] [Accepted: 04/27/2024] [Indexed: 07/22/2024]
Abstract
INTRODUCTION We examined whether the aging suppressor KLOTHO gene's functionally advantageous KL-VS variant (KL-VS heterozygosity [KL-VSHET]) confers resilience against deleterious effects of aging indexed by cerebrospinal fluid (CSF) biomarkers of neuroinflammation (interleukin-6 [IL-6], S100 calcium-binding protein B [S100B], triggering receptor expressed on myeloid cells [sTREM2], chitinase-3-like protein 1 [YKL-40], glial fibrillary acidic protein [GFAP]), neurodegeneration (total α-synuclein [α-Syn], neurofilament light chain protein), and synaptic dysfunction (neurogranin [Ng]). METHODS This Alzheimer disease risk-enriched cohort consisted of 454 cognitively unimpaired adults (Mage = 61.5 ± 7.75). Covariate-adjusted multivariate regression examined relationships between age (mean-split[age ≥ 62]) and CSF biomarkers (Roche/NeuroToolKit), and whether they differed between KL-VSHET (N = 122) and non-carriers (KL-VSNC; N = 332). RESULTS Older age was associated with a poorer biomarker profile across all analytes (Ps ≤ 0.03). In age-stratified analyses, KL-VSNC exhibited this same pattern (Ps ≤ 0.05) which was not significant for IL-6, S100B, Ng, and α-Syn (Ps ≥ 0.13) in KL-VSHET. Although age-related differences in GFAP, sTREM2, and YKL-40 were evident for both groups (Ps ≤ 0.01), the effect magnitude was markedly stronger for KL-VSNC. DISCUSSION Higher levels of neuroinflammation, neurodegeneration, and synaptic dysfunction in older adults were attenuated in KL-VSHET. HIGHLIGHTS Older age was associated with poorer profiles across all cerebrospinal fluid biomarkers of neuroinflammation, neurodegeneration, and synaptic dysfunction. KLOTHO KL-VS non-carriers exhibit this same pattern, which is does not significantly differ between younger and older KL-VS heterozygotes for interleukin-6, S100 calcium-binding protein B, neurogranin, and total α-synuclein. Although age-related differences in glial fibrillary acidic protein, triggering receptor expressed on myeloid cells, and chitinase-3-like protein 1 are evident for both KL-VS groups, the magnitude of the effect is markedly stronger for KL-VS non-carriers. Higher levels of neuroinflammation, neurodegeneration, and synaptic dysfunction in older adults are attenuated in KL-VS heterozygotes.
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Affiliation(s)
- Ira Frahmand Driscoll
- Wisconsin Alzheimer's Disease Research Center and Department of GeriatricsUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
| | - Sarah Lose
- Wisconsin Alzheimer's Disease Research Center and Department of GeriatricsUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
| | - Yue Ma
- Wisconsin Alzheimer's Disease Research Center and Department of GeriatricsUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
| | - Barbara B. Bendlin
- Wisconsin Alzheimer's Disease Research Center and Department of GeriatricsUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
- Wisconsin Alzheimer's InstituteMadisonWisconsinUSA
- Geriatric Research Education and Clinical CenterWilliam S. Middleton VA HospitalMadisonWisconsinUSA
| | - Catherine Gallagher
- Geriatric Research Education and Clinical CenterWilliam S. Middleton VA HospitalMadisonWisconsinUSA
- Department of NeurologyUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
| | - Sterling C. Johnson
- Wisconsin Alzheimer's Disease Research Center and Department of GeriatricsUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
- Wisconsin Alzheimer's InstituteMadisonWisconsinUSA
| | - Sanjay Asthana
- Wisconsin Alzheimer's Disease Research Center and Department of GeriatricsUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
- Wisconsin Alzheimer's InstituteMadisonWisconsinUSA
- Geriatric Research Education and Clinical CenterWilliam S. Middleton VA HospitalMadisonWisconsinUSA
| | - Bruce Hermann
- Wisconsin Alzheimer's Disease Research Center and Department of GeriatricsUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
- Wisconsin Alzheimer's InstituteMadisonWisconsinUSA
- Department of NeurologyUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
| | - Mark A. Sager
- Wisconsin Alzheimer's Disease Research Center and Department of GeriatricsUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
- Wisconsin Alzheimer's InstituteMadisonWisconsinUSA
| | - Kaj Blennow
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologySahlgrenska Academy at the University of GothenburgMölndalSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalGöteborgSweden
- Paris Brain InstituteICMPitié‐Salpêtrière HospitalSorbonne UniversityParisFrance
- Neurodegenerative Disorder Research CenterDivision of Life Sciences and Medicineand Department of NeurologyInstitute on Aging and Brain DisordersUniversity of Science and Technology of China and First Affiliated Hospital of USTCHefeiPR China
| | - Henrik Zetterberg
- Wisconsin Alzheimer's Disease Research Center and Department of GeriatricsUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologySahlgrenska Academy at the University of GothenburgMölndalSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalGöteborgSweden
- Department of Neurodegenerative DiseaseUCL Institute of Neurology, Queen SquareLondonUK
- UK Dementia Research Institute at UCLLondonUK
- Hong Kong Center for Neurodegenerative DiseasesClear Water BayHong KongPR China
| | - Cynthia Carlsson
- Wisconsin Alzheimer's Disease Research Center and Department of GeriatricsUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
- Wisconsin Alzheimer's InstituteMadisonWisconsinUSA
- Geriatric Research Education and Clinical CenterWilliam S. Middleton VA HospitalMadisonWisconsinUSA
| | | | | | - Dena Dubal
- Department of Neurology and Weill Institute for NeurosciencesUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Ozioma C. Okonkwo
- Wisconsin Alzheimer's Disease Research Center and Department of GeriatricsUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
- Wisconsin Alzheimer's InstituteMadisonWisconsinUSA
- Geriatric Research Education and Clinical CenterWilliam S. Middleton VA HospitalMadisonWisconsinUSA
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Arroyo-García LE, Bachiller S, Ruiz R, Boza-Serrano A, Rodríguez-Moreno A, Deierborg T, Andrade-Talavera Y, Fisahn A. Targeting galectin-3 to counteract spike-phase uncoupling of fast-spiking interneurons to gamma oscillations in Alzheimer's disease. Transl Neurodegener 2023; 12:6. [PMID: 36740709 PMCID: PMC9901156 DOI: 10.1186/s40035-023-00338-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Accepted: 01/19/2023] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Alzheimer's disease (AD) is a progressive multifaceted neurodegenerative disorder for which no disease-modifying treatment exists. Neuroinflammation is central to the pathology progression, with evidence suggesting that microglia-released galectin-3 (gal3) plays a pivotal role by amplifying neuroinflammation in AD. However, the possible involvement of gal3 in the disruption of neuronal network oscillations typical of AD remains unknown. METHODS Here, we investigated the functional implications of gal3 signaling on experimentally induced gamma oscillations ex vivo (20-80 Hz) by performing electrophysiological recordings in the hippocampal CA3 area of wild-type (WT) mice and of the 5×FAD mouse model of AD. In addition, the recorded slices from WT mice under acute gal3 application were analyzed with RT-qPCR to detect expression of some neuroinflammation-related genes, and amyloid-β (Aβ) plaque load was quantified by immunostaining in the CA3 area of 6-month-old 5×FAD mice with or without Gal3 knockout (KO). RESULTS Gal3 application decreased gamma oscillation power and rhythmicity in an activity-dependent manner, which was accompanied by impairment of cellular dynamics in fast-spiking interneurons (FSNs) and pyramidal cells. We found that the gal3-induced disruption was mediated by the gal3 carbohydrate-recognition domain and prevented by the gal3 inhibitor TD139, which also prevented Aβ42-induced degradation of gamma oscillations. Furthermore, the 5×FAD mice lacking gal3 (5×FAD-Gal3KO) exhibited WT-like gamma network dynamics and decreased Aβ plaque load. CONCLUSIONS We report for the first time that gal3 impairs neuronal network dynamics by spike-phase uncoupling of FSNs, inducing a network performance collapse. Moreover, our findings suggest gal3 inhibition as a potential therapeutic strategy to counteract the neuronal network instability typical of AD and other neurological disorders encompassing neuroinflammation and cognitive decline.
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Affiliation(s)
- Luis Enrique Arroyo-García
- grid.465198.7Neuronal Oscillations Laboratory, Division of Neurogeriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, 17164 Solna, Sweden
| | - Sara Bachiller
- grid.4514.40000 0001 0930 2361Experimental Neuroinflammation Laboratory, Department of Experimental Medical Science, Lund University, BMC B11, 221 84 Lund, Sweden ,grid.9224.d0000 0001 2168 1229Clinical Unit of Infectious Diseases, Microbiology and Parasitology, Institute of Biomedicine of Seville (IBiS), Virgen del Rocío University Hospital, CSIC, University of Seville, Seville, Spain
| | - Rocío Ruiz
- grid.9224.d0000 0001 2168 1229Department of Biochemistry and Molecular Biology, University of Seville, Calle Profesor García González Nº2, 41012 Seville, Spain
| | - Antonio Boza-Serrano
- grid.4514.40000 0001 0930 2361Experimental Neuroinflammation Laboratory, Department of Experimental Medical Science, Lund University, BMC B11, 221 84 Lund, Sweden ,grid.9224.d0000 0001 2168 1229Department of Biochemistry and Molecular Biology, University of Seville, Calle Profesor García González Nº2, 41012 Seville, Spain
| | - Antonio Rodríguez-Moreno
- grid.15449.3d0000 0001 2200 2355Laboratory of Cellular Neuroscience and Plasticity, Department of Physiology, Anatomy and Cellular Biology, Universidad Pablo de Olavide, Carretera de Utrera Km-1, 41013 Seville, Spain
| | - Tomas Deierborg
- grid.4514.40000 0001 0930 2361Experimental Neuroinflammation Laboratory, Department of Experimental Medical Science, Lund University, BMC B11, 221 84 Lund, Sweden
| | - Yuniesky Andrade-Talavera
- Neuronal Oscillations Laboratory, Division of Neurogeriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, 17164, Solna, Sweden. .,Laboratory of Cellular Neuroscience and Plasticity, Department of Physiology, Anatomy and Cellular Biology, Universidad Pablo de Olavide, Carretera de Utrera Km-1, 41013, Seville, Spain.
| | - André Fisahn
- Neuronal Oscillations Laboratory, Division of Neurogeriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, 17164, Solna, Sweden. .,Department of Biosciences and Nutrition, Neo, Karolinska Institutet, 141 83, Huddinge, Sweden.
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Driscoll I, Ma Y, Lose SR, Gallagher CL, Johnson SC, Asthana S, Hermann BP, Sager MA, Blennow K, Zetterberg H, Carlsson CM, Engelman CD, Dubal DB, Okonkwo OC. AD-associated CSF biomolecular changes are attenuated in KL-VS heterozygotes. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2022; 14:e12383. [PMID: 36505396 PMCID: PMC9728548 DOI: 10.1002/dad2.12383] [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: 09/01/2021] [Revised: 11/03/2022] [Accepted: 11/04/2022] [Indexed: 12/12/2022]
Abstract
Introduction Dementia as an inevitable aging consequence has been challenged and underscores the need for investigations of the factors that confer resilience. We examine whether the functionally advantageous KL-VS variant of the putative aging suppressor KLOTHO gene attenuates age-related cognitive decline and deleterious biomolecular changes. Methods Trajectories of change in memory and executive function (N = 360; 2-12 visits) and cerebrospinal fluid (CSF) Alzheimer's disease (AD) biomarkers-amyloid beta (Aβ)42, total tau (t-tau), phosphorylated tau (p-tau) (N = 112; 2-4 samplings)-were compared between KL-VS non-carriers and heterozygotes in middle-aged and older adults from the Wisconsin Registry for Alzheimer's Prevention and the Wisconsin Alzheimer's Disease Research Center studies. Results Memory and executive function declined (p's≤ 0.001) and CSF t-tau, p-tau, t-tau/Aβ42, and p-tau/Aβ42 levels increased (all p's≤ 0.004) with age. The rate of p-tau accumulation was attenuated for KL-VS heterozygotes (p = 0.03). Discussion KL-VS heterozygosity may confer resilience to AD-associated biomolecular changes.
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Affiliation(s)
- Ira Driscoll
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
- Wisconsin Alzheimer's InstituteMadisonWisconsinUSA
- Department of PsychologyUniversity of Wisconsin‐MilwaukeeMilwaukeeWisconsinUSA
| | - Yue Ma
- Wisconsin Alzheimer's InstituteMadisonWisconsinUSA
| | - Sarah R. Lose
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
- Wisconsin Alzheimer's InstituteMadisonWisconsinUSA
| | - Catherine L. Gallagher
- Geriatric Research Education and Clinical CenterWilliam S. Middleton VA HospitalMadisonWisconsinUSA
- Department of NeurologyUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
| | - Sterling C. Johnson
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
- Wisconsin Alzheimer's InstituteMadisonWisconsinUSA
- Geriatric Research Education and Clinical CenterWilliam S. Middleton VA HospitalMadisonWisconsinUSA
| | - Sanjay Asthana
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
- Wisconsin Alzheimer's InstituteMadisonWisconsinUSA
- Geriatric Research Education and Clinical CenterWilliam S. Middleton VA HospitalMadisonWisconsinUSA
| | - Bruce P. Hermann
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
- Wisconsin Alzheimer's InstituteMadisonWisconsinUSA
- Department of NeurologyUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
| | - Mark A. Sager
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
- Wisconsin Alzheimer's InstituteMadisonWisconsinUSA
| | - Kaj Blennow
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologySahlgrenska Academy at the University of GothenburgGöteborgSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
| | - Henrik Zetterberg
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologySahlgrenska Academy at the University of GothenburgGöteborgSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
- Department of Neurodegenerative DiseaseUCL Institute of NeurologyQueen SquareLondonUK
- UK Dementia Research Institute at UCLLondonUK
| | - Cynthia M. Carlsson
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
- Wisconsin Alzheimer's InstituteMadisonWisconsinUSA
- Geriatric Research Education and Clinical CenterWilliam S. Middleton VA HospitalMadisonWisconsinUSA
| | - Corinne D. Engelman
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
- Wisconsin Alzheimer's InstituteMadisonWisconsinUSA
- Departments of Population Health SciencesUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
| | - Dena B. Dubal
- Department of Neurology and Weill Institute for NeurosciencesUniversity of CaliforniaCaliforniaSan FranciscoUSA
| | - Ozioma C. Okonkwo
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
- Wisconsin Alzheimer's InstituteMadisonWisconsinUSA
- Geriatric Research Education and Clinical CenterWilliam S. Middleton VA HospitalMadisonWisconsinUSA
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4
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Lequerica AH, Houston M, Chen MH, Arango-Lasprilla JC. Preliminary construct validity of a memory concerns scale derived from a PROMIS® item bank in a spanish-speaking sample. Neuropsychol Rehabil 2022:1-13. [PMID: 35362366 DOI: 10.1080/09602011.2022.2058965] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
This study examined preliminary evidence of construct validity in a stand-alone memory concerns scale constructed from the Patient-Reported Outcomes Measurement Information System (PROMIS®) Cognitive Function item bank. A sample of 396 individuals, ages 18-75 (M = 33.7, SD = 12.7), from Spain and Latin America completed an online survey regarding lifetime exposure to factors associated with neurological compromise. The sample was 69.4% female. Respondents completed 8 items from the PROMIS® Cognitive Function item bank v1.0 dealing with memory concerns (MCS-8) along with the PROMIS® 8-item short form reflecting general cognitive concerns (CCS-8). The MCS-8 had high internal consistency reliability (Cronbach's alpha = 0.90), and represented a factor distinct from general cognitive concerns items on the CCS-8 in confirmatory factor analysis. Analysis of covariance controlling for sex, age, and education, showed that individuals endorsing history of exposure to sources of neurological compromise scored significantly lower T-scores on the MCS-8 than those who did not report any such history, F(1,390) = 6.4, p = 0.012. Older age was significantly associated with greater memory concerns, a relationship with age not observed with the CCS-8. As a stand-alone self-report measure, the MCS-8 appears to measure a construct distinct from general cognitive concerns that may be of interest for further research in clinical populations.
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Affiliation(s)
- Anthony H Lequerica
- Kessler Foundation, East Hanover, NJ, USA.,Rutgers - New Jersey Medical School, Newark, NJ, USA
| | | | - Michelle H Chen
- Institute for Health, Health Care Policy and Aging Research, Rutgers University, NJ, USA.,Robert Wood Johnson Medical School, Rutgers University, NJ, USA
| | - Juan Carlos Arango-Lasprilla
- BioCruces Bizkaia Health Research Institute. Barakaldo, Bizkaia, Spain.,IKERBASQUE. Basque Foundation for Science, Bilbao, Spain
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Kok FK, van Leerdam SL, de Lange ECM. Potential Mechanisms Underlying Resistance to Dementia in Non-Demented Individuals with Alzheimer's Disease Neuropathology. J Alzheimers Dis 2022; 87:51-81. [PMID: 35275527 PMCID: PMC9198800 DOI: 10.3233/jad-210607] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Alzheimer’s disease (AD) is the most common form of dementia and typically characterized by the accumulation of amyloid-β plaques and tau tangles. Intriguingly, there also exists a group of elderly which do not develop dementia during their life, despite the AD neuropathology, the so-called non-demented individuals with AD neuropathology (NDAN). In this review, we provide extensive background on AD pathology and normal aging and discuss potential mechanisms that enable these NDAN individuals to remain cognitively intact. Studies presented in this review show that NDAN subjects are generally higher educated and have a larger cognitive reserve. Furthermore, enhanced neural hypertrophy could compensate for hippocampal and cingulate neural atrophy in NDAN individuals. On a cellular level, these individuals show increased levels of neural stem cells and ‘von Economo neurons’. Furthermore, in NDAN brains, binding of Aβ oligomers to synapses is prevented, resulting in decreased glial activation and reduced neuroinflammation. Overall, the evidence stated here strengthens the idea that some individuals are more resistant to AD pathology, or at least show an elongation of the asymptomatic state of the disease compared to others. Insights into the mechanisms underlying this resistance could provide new insight in understanding normal aging and AD itself. Further research should focus on factors and mechanisms that govern the NDAN cognitive resilience in order to find clues on novel biomarkers, targets, and better treatments of AD.
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Affiliation(s)
- Frédérique K Kok
- Predictive Pharmacology, Division of Systems Biomedicine and Pharmacology, Leiden Academic Centre of Drug Research, Leiden University, Leiden, The Netherlands
| | - Suzanne L van Leerdam
- Predictive Pharmacology, Division of Systems Biomedicine and Pharmacology, Leiden Academic Centre of Drug Research, Leiden University, Leiden, The Netherlands
| | - Elizabeth C M de Lange
- Predictive Pharmacology, Division of Systems Biomedicine and Pharmacology, Leiden Academic Centre of Drug Research, Leiden University, Leiden, The Netherlands
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Sharifian N, Zaheed AB, Morris EP, Sol K, Manly JJ, Schupf N, Mayeux R, Brickman AM, Zahodne LB. Social network characteristics moderate associations between cortical thickness and cognitive functioning in older adults. Alzheimers Dement 2022; 18:339-347. [PMID: 34002926 PMCID: PMC8599522 DOI: 10.1002/alz.12383] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Revised: 02/19/2021] [Accepted: 02/22/2021] [Indexed: 02/03/2023]
Abstract
INTRODUCTION Prior research suggests that the strength of association between Alzheimer's disease (AD) pathology and lower cognitive performance is influenced by modifiable psychosocial factors, such as social network size. However, little is known about distinct social relationship types. METHODS The current cross-sectional study used data from the Washington Heights-Inwood Columbia Aging Project to examine whether social network characteristics (i.e., total size, spouse/partner, number of children, other relatives, friends) moderate associations between cortical thickness in regions implicated in AD and cognitive performance. RESULTS Lower cortical thickness was associated with worse global cognition among individuals with smaller friend networks, but not among individuals with larger friend networks. This pattern of results was most prominent for language and speed/executive functioning. DISCUSSION Longitudinal and intervention studies are needed to determine whether these cross-sectional findings reflect a protective effect of later-life friendships for maintaining cognitive performance in the context of poorer brain health.
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Affiliation(s)
- Neika Sharifian
- Department of Psychology, University of Michigan, Ann Arbor, MI
| | | | - Emily P. Morris
- Department of Psychology, University of Michigan, Ann Arbor, MI
| | - Ketlyne Sol
- Department of Psychology, University of Michigan, Ann Arbor, MI
| | - Jennifer J. Manly
- Department of Neurology, Gertrude H. Sergievsky Center and Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, College of Physicians & Surgeons, Columbia University
| | - Nicole Schupf
- Department of Neurology, Gertrude H. Sergievsky Center and Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, College of Physicians & Surgeons, Columbia University
| | - Richard Mayeux
- Department of Neurology, Gertrude H. Sergievsky Center and Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, College of Physicians & Surgeons, Columbia University
| | - Adam M. Brickman
- Department of Neurology, Gertrude H. Sergievsky Center and Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, College of Physicians & Surgeons, Columbia University
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Arroyo-García LE, Isla AG, Andrade-Talavera Y, Balleza-Tapia H, Loera-Valencia R, Alvarez-Jimenez L, Pizzirusso G, Tambaro S, Nilsson P, Fisahn A. Impaired spike-gamma coupling of area CA3 fast-spiking interneurons as the earliest functional impairment in the App NL-G-F mouse model of Alzheimer's disease. Mol Psychiatry 2021; 26:5557-5567. [PMID: 34385602 PMCID: PMC8758494 DOI: 10.1038/s41380-021-01257-0] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Revised: 07/19/2021] [Accepted: 07/30/2021] [Indexed: 02/07/2023]
Abstract
In Alzheimer's disease (AD) the accumulation of amyloid-β (Aβ) correlates with degradation of cognition-relevant gamma oscillations. The gamma rhythm relies on proper neuronal spike-gamma coupling, specifically of fast-spiking interneurons (FSN). Here we tested the hypothesis that decrease in gamma power and FSN synchrony precede amyloid plaque deposition and cognitive impairment in AppNL-G-F knock-in mice (AppNL-G-F). The aim of the study was to evaluate the amyloidogenic pathology progression in the novel AppNL-G-F mouse model using in vitro electrophysiological network analysis. Using patch clamp of FSNs and pyramidal cells (PCs) with simultaneous gamma oscillation recordings, we compared the activity of the hippocampal network of wild-type mice (WT) and the AppNL-G-F mice at four disease stages (1, 2, 4, and 6 months of age). We found a severe degradation of gamma oscillation power that is independent of, and precedes Aβ plaque formation, and the cognitive impairment reported previously in this animal model. The degradation correlates with increased Aβ1-42 concentration in the brain. Analysis on the cellular level showed an impaired spike-gamma coupling of FSN from 2 months of age that correlates with the degradation of gamma oscillations. From 6 months of age PC firing becomes desynchronized also, correlating with reports in the literature of robust Aβ plaque pathology and cognitive impairment in the AppNL-G-F mice. This study provides evidence that impaired FSN spike-gamma coupling is one of the earliest functional impairment caused by the amyloidogenic pathology progression likely is the main cause for the degradation of gamma oscillations and consequent cognitive impairment. Our data suggests that therapeutic approaches should be aimed at restoring normal FSN spike-gamma coupling and not just removal of Aβ.
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Affiliation(s)
- Luis Enrique Arroyo-García
- Neuronal Oscillations Laboratory; Division of Neurogeriatrics; Center for Alzheimer Research; Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Solna, Sweden.
| | - Arturo G Isla
- Neuronal Oscillations Laboratory; Division of Neurogeriatrics; Center for Alzheimer Research; Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Solna, Sweden
| | - Yuniesky Andrade-Talavera
- Neuronal Oscillations Laboratory; Division of Neurogeriatrics; Center for Alzheimer Research; Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Solna, Sweden
| | - Hugo Balleza-Tapia
- Neuronal Oscillations Laboratory; Division of Neurogeriatrics; Center for Alzheimer Research; Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Solna, Sweden
| | - Raúl Loera-Valencia
- Division of Neurogeriatrics; Center for Alzheimer Research; Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Solna, Sweden
| | - Laura Alvarez-Jimenez
- Division of Neurogeriatrics; Center for Alzheimer Research; Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Solna, Sweden
| | - Giusy Pizzirusso
- Neuronal Oscillations Laboratory; Division of Neurogeriatrics; Center for Alzheimer Research; Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Solna, Sweden
| | - Simone Tambaro
- Division of Neurogeriatrics; Center for Alzheimer Research; Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Solna, Sweden
| | - Per Nilsson
- Division of Neurogeriatrics; Center for Alzheimer Research; Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Solna, Sweden
| | - André Fisahn
- Neuronal Oscillations Laboratory; Division of Neurogeriatrics; Center for Alzheimer Research; Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Solna, Sweden.
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Zhang L, Yang C, Li Y, Niu S, Liang X, Zhang Z, Luo Q, Luo H. Dynamic Changes in the Levels of Amyloid-β 42 Species in the Brain and Periphery of APP/PS1 Mice and Their Significance for Alzheimer's Disease. Front Mol Neurosci 2021; 14:723317. [PMID: 34512259 PMCID: PMC8430227 DOI: 10.3389/fnmol.2021.723317] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Accepted: 08/09/2021] [Indexed: 11/13/2022] Open
Abstract
Although amyloid-β42 (Aβ42) has been used as one of the core biomarkers for Alzheimer’s disease (AD) diagnosis, the dynamic changes of its different forms in the brain, blood, and even intestines and its correlation with the progression of AD disease remain obscure. Herein, we screened Aβ42-specific preferred antibody pairs 1F12/1F12 and 1F12/2C6 to accurately detect Aβ42 types using sandwich ELISA, including total Aβ42, Aβ42 oligomers (Aβ42Os), and Aβ42 monomers (Aβ42Ms). The levels of Aβ42 species in the brain, blood, and intestines of different aged APP/PS1 mice were quantified to study their correlation with AD progression. Total Aβ42 levels in the blood were not correlated with AD progression, but Aβ42Ms level in the blood of 9-month-old APP/PS1 mice was significantly reduced, and Aβ42Os level in the brain was significantly elevated compared to 3-month-old APP/PS1, demonstrating that the levels of Aβ42Ms and Aβ42Os in the blood and brain were correlated with AD progression. Interestingly, in 9-month-old APP/PS1 mice, the level of Aβ42 in the intestine was higher than that in 3-month-old APP/PS1 mice, indicating that the increased level of Aβ42 in the gastrointestinal organs may also be related to the progression of AD. Meanwhile, changes in the gut microbiota composition of APP/PS1 mice with age were also observed. Therefore, the increase in Aβ derived from intestinal tissues and changes in microbiome composition can be used as a potential early diagnosis tool for AD, and further used as an indicator of drug intervention to reduce brain amyloid.
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Affiliation(s)
- Liding Zhang
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China.,MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, China
| | - Changwen Yang
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China.,MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, China
| | - Yanqing Li
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China.,MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, China
| | - Shiqi Niu
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China.,MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaohan Liang
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China.,MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, China
| | - Zhihong Zhang
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China.,MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, China.,School of Biomedical Engineering, Hainan University, Haikou, China
| | - Qingming Luo
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China.,MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, China.,School of Biomedical Engineering, Hainan University, Haikou, China
| | - Haiming Luo
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China.,MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, China
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9
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Genetic deletion of α7 nicotinic acetylcholine receptors induces an age-dependent Alzheimer's disease-like pathology. Prog Neurobiol 2021; 206:102154. [PMID: 34453977 DOI: 10.1016/j.pneurobio.2021.102154] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 05/29/2021] [Accepted: 08/18/2021] [Indexed: 11/22/2022]
Abstract
The accumulation of amyloid-beta peptide (Aβ) and the failure of cholinergic transmission are key players in Alzheimer's disease (AD). However, in the healthy brain, Aβ contributes to synaptic plasticity and memory acting through α7 subtype nicotinic acetylcholine receptors (α7nAChRs). Here, we hypothesized that the α7nAChR deletion blocks Aβ physiological function and promotes a compensatory increase in Aβ levels that, in turn, triggers an AD-like pathology. To validate this hypothesis, we studied the age-dependent phenotype of α7 knock out mice. We found that α7nAChR deletion caused an impairment of hippocampal synaptic plasticity and memory at 12 months of age, paralleled by an increase of Amyloid Precursor Protein expression and Aβ levels. This was accompanied by other classical AD features such as a hyperphosphorylation of tau at residues Ser 199, Ser 396, Thr 205, a decrease of GSK-3β at Ser 9, the presence of paired helical filaments and neurofibrillary tangles, neuronal loss and an increase of GFAP-positive astrocytes. Our findings suggest that α7nAChR malfunction might precede Aβ and tau pathology, offering a different perspective to interpret the failure of anti-Aβ therapies against AD and to find novel therapeutical approaches aimed at restoring α7nAChRs-mediated Aβ function at the synapse.
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10
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Varadaraj V, Munoz B, Deal JA, An Y, Albert MS, Resnick SM, Ferrucci L, Swenor BK. Association of Vision Impairment With Cognitive Decline Across Multiple Domains in Older Adults. JAMA Netw Open 2021; 4:e2117416. [PMID: 34269806 PMCID: PMC8285732 DOI: 10.1001/jamanetworkopen.2021.17416] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
IMPORTANCE Associations between visual and global cognitive impairments have been previously documented, but there is limited research examining these associations between multiple measures of vision across cognitive domains. OBJECTIVE To examine the association between vision and cognitive across multiple cognitive domains using multiple measures of vision. DESIGN, SETTING, AND PARTICIPANTS This longitudinal cohort study used data from the Baltimore Longitudinal Study of Aging for 2003 to 2019. Participants in the current study were aged 60 to 94 years with vision and cognitive measures. Data analysis was performed from May 2020 to May 2021. MAIN OUTCOMES AND MEASURES Cognitive function was measured across multiple domains, including language, memory, attention, executive function, and visuospatial ability. Cognitive domain scores were calculated as the mean of standardized cognitive test scores within each domain. Visual function was assessed using measures of visual acuity, contrast sensitivity, and stereo acuity at baseline. RESULTS Analyses included 1202 participants (610 women [50.8%]; 853 White participants [71.0%]) with a mean (SD) age of 71.1 (8.6) years who were followed up for a mean (SD) of 6.9 (4.7) years. Worse visual acuity (per 0.1 logarithm of the minimal angle of resolution) at baseline was associated with greater declines in language (β, -0.0035; 95% CI, -0.007 to -0.001) and memory (β, -0.0052; 95% CI, -0.010 to -0.001) domain scores. Worse contrast sensitivity (per 0.1 log units) at baseline was associated with greater declines in language (β, -0.010; 95% CI, -0.014 to -0.006), memory (β, -0.009; 95% CI, -0.015 to -0.003), attention (β, -0.010; 95% CI, -0.017 to -0.003), and visuospatial ability (β, -0.010; 95% CI, -0.017 to -0.002) domain scores. Over the follow-up period, declines on tests of language (β, -0.019; 95% CI, -0.034 to -0.005) and memory (β, -0.032; 95% CI, -0.051 to -0.012) were significantly greater for participants with impaired stereo acuity compared with those without such impairment. CONCLUSIONS AND RELEVANCE These findings suggest that the association between vision and cognition differs between visual acuity, contrast sensitivity, and stereo acuity and that patterns of cognitive decline may differ by type of vision impairment, with impaired contrast sensitivity being associated with declines across more cognitive domains than other measures of visual functioning.
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Affiliation(s)
- Varshini Varadaraj
- Johns Hopkins Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland
- Center for Disability Health Research, Johns Hopkins University, Baltimore, Maryland
| | - Beatriz Munoz
- Johns Hopkins Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Jennifer A. Deal
- Center for Disability Health Research, Johns Hopkins University, Baltimore, Maryland
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Yang An
- Laboratory of Behavioral Neuroscience, Intramural Research Program, National Institute on Aging, Baltimore, Maryland
| | - Marilyn S. Albert
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Susan M. Resnick
- Laboratory of Behavioral Neuroscience, Intramural Research Program, National Institute on Aging, Baltimore, Maryland
| | - Luigi Ferrucci
- Translational Gerontology Branch, National Institute on Aging, Baltimore, Maryland
| | - Bonnielin K. Swenor
- Johns Hopkins Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland
- Center for Disability Health Research, Johns Hopkins University, Baltimore, Maryland
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
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11
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Anatürk M, Kaufmann T, Cole JH, Suri S, Griffanti L, Zsoldos E, Filippini N, Singh‐Manoux A, Kivimäki M, Westlye LT, Ebmeier KP, de Lange AG. Prediction of brain age and cognitive age: Quantifying brain and cognitive maintenance in aging. Hum Brain Mapp 2021; 42:1626-1640. [PMID: 33314530 PMCID: PMC7978127 DOI: 10.1002/hbm.25316] [Citation(s) in RCA: 64] [Impact Index Per Article: 21.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Revised: 11/27/2020] [Accepted: 12/01/2020] [Indexed: 12/17/2022] Open
Abstract
The concept of brain maintenance refers to the preservation of brain integrity in older age, while cognitive reserve refers to the capacity to maintain cognition in the presence of neurodegeneration or aging-related brain changes. While both mechanisms are thought to contribute to individual differences in cognitive function among older adults, there is currently no "gold standard" for measuring these constructs. Using machine-learning methods, we estimated brain and cognitive age based on deviations from normative aging patterns in the Whitehall II MRI substudy cohort (N = 537, age range = 60.34-82.76), and tested the degree of correspondence between these constructs, as well as their associations with premorbid IQ, education, and lifestyle trajectories. In line with established literature highlighting IQ as a proxy for cognitive reserve, higher premorbid IQ was linked to lower cognitive age independent of brain age. No strong evidence was found for associations between brain or cognitive age and lifestyle trajectories from midlife to late life based on latent class growth analyses. However, post hoc analyses revealed a relationship between cumulative lifestyle measures and brain age independent of cognitive age. In conclusion, we present a novel approach to characterizing brain and cognitive maintenance in aging, which may be useful for future studies seeking to identify factors that contribute to brain preservation and cognitive reserve mechanisms in older age.
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Affiliation(s)
- Melis Anatürk
- Department of PsychiatryUniversity of OxfordOxfordUK
- Wellcome Centre for Integrative NeuroimagingUniversity of OxfordOxfordUK
| | - Tobias Kaufmann
- NORMENT, Institute of Clinical MedicineUniversity of Oslo, & Division of Mental Health and Addiction, Oslo University HospitalOsloNorway
| | - James H. Cole
- Centre for Medical Image Computing, Department of Computer ScienceUniversity College LondonLondonUK
- Dementia Research Centre, Institute of NeurologyUniversity College LondonLondonUK
| | - Sana Suri
- Department of PsychiatryUniversity of OxfordOxfordUK
- Wellcome Centre for Integrative NeuroimagingUniversity of OxfordOxfordUK
| | - Ludovica Griffanti
- Department of PsychiatryUniversity of OxfordOxfordUK
- Wellcome Centre for Integrative NeuroimagingUniversity of OxfordOxfordUK
| | - Enikő Zsoldos
- Department of PsychiatryUniversity of OxfordOxfordUK
- Wellcome Centre for Integrative NeuroimagingUniversity of OxfordOxfordUK
| | - Nicola Filippini
- Department of PsychiatryUniversity of OxfordOxfordUK
- Wellcome Centre for Integrative NeuroimagingUniversity of OxfordOxfordUK
| | - Archana Singh‐Manoux
- Epidemiology of Ageing and Neurodegenerative diseasesUniversité de Paris, INSERM U1153ParisFrance
- Department of Epidemiology and Public HealthUniversity College LondonLondonUK
| | - Mika Kivimäki
- Department of Epidemiology and Public HealthUniversity College LondonLondonUK
| | - Lars T. Westlye
- NORMENT, Institute of Clinical MedicineUniversity of Oslo, & Division of Mental Health and Addiction, Oslo University HospitalOsloNorway
- Department of PsychologyUniversity of OsloOsloNorway
| | | | - Ann‐Marie G. de Lange
- Department of PsychiatryUniversity of OxfordOxfordUK
- NORMENT, Institute of Clinical MedicineUniversity of Oslo, & Division of Mental Health and Addiction, Oslo University HospitalOsloNorway
- Department of PsychologyUniversity of OsloOsloNorway
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12
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Driscoll I, Ma Y, Gallagher CL, Johnson SC, Asthana S, Hermann BP, Sager MA, Blennow K, Zetterberg H, Carlsson CM, Engelman CD, Dubal DB, Okonkwo OC. Age-Related Tau Burden and Cognitive Deficits Are Attenuated in KLOTHO KL-VS Heterozygotes. J Alzheimers Dis 2021; 79:1297-1305. [PMID: 33427737 DOI: 10.3233/jad-200944] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
BACKGROUND Identification of new genetic variants that modify Alzheimer's disease (AD) risk will elucidate novel targets for curbing the disease progression or delaying symptom onset. OBJECTIVE To examine whether the functionally advantageous KLOTHO gene KL-VS variant attenuates age-related alteration in cerebrospinal fluid (CSF) biomarkers or cognitive function in middle-aged and older adults enriched for AD risk. METHODS Sample included non-demented adults (N = 225, mean age = 63±8, 68% women) from the Wisconsin Registry for Alzheimer's Prevention and the Wisconsin Alzheimer's Disease Research Center who were genotyped for KL-VS, underwent CSF sampling and had neuropsychological testing data available proximal to CSF draw. Covariate-adjusted multivariate regression examined relationships between age group (Younger versus Older; mean split at 63 years), AD biomarkers, and neuropsychological performance tapping memory and executive function, and whether these relationships differed between KL-VS non-carriers (KL-VSNC) and heterozygote (KL-VSHET). RESULTS In the pooled analyses, older age was associated with higher levels of total tau (tTau), phosphorylated tau (pTau), and their respective ratios to amyloid-β (Aβ)42 (ps ≤ 0.002), and with poorer performance on neuropsychological tests (ps ≤ 0.001). In the stratified analyses, KL-VSNC exhibited this age-related pattern of associations with CSF biomarkers (all ps ≤ 0.001), and memory and executive function (ps ≤ 0.003), which were attenuated in KL-VSHET (ps ≥ 0.14). CONCLUSION Worse memory and executive function, and higher tau burden with age were attenuated in carriers of a functionally advantageous KLOTHO variant. KL-VS heterozygosity seems to be protective against age-related cognitive and biomolecular alterations that confer risk for AD.
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Affiliation(s)
- Ira Driscoll
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA.,Wisconsin Alzheimer's Institute, Madison, WI, USA.,Department of Psychology, University of Wisconsin-Milwaukee, Milwaukee, WI, USA
| | - Yue Ma
- Wisconsin Alzheimer's Institute, Madison, WI, USA
| | - Catherine L Gallagher
- Geriatric Research Education and Clinical Center, William S. Middleton VA Hospital, Madison, WI, USA.,Department of Neurology, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Sterling C Johnson
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA.,Wisconsin Alzheimer's Institute, Madison, WI, USA.,Geriatric Research Education and Clinical Center, William S. Middleton VA Hospital, Madison, WI, USA
| | - Sanjay Asthana
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA.,Wisconsin Alzheimer's Institute, Madison, WI, USA.,Geriatric Research Education and Clinical Center, William S. Middleton VA Hospital, Madison, WI, USA
| | - Bruce P Hermann
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA.,Wisconsin Alzheimer's Institute, Madison, WI, USA.,Department of Neurology, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Mark A Sager
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA.,Wisconsin Alzheimer's Institute, Madison, WI, USA
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Göteborg, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Göteborg, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.,Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK.,UK Dementia Research Institute at UCL, London, UK
| | - Cynthia M Carlsson
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA.,Wisconsin Alzheimer's Institute, Madison, WI, USA.,Geriatric Research Education and Clinical Center, William S. Middleton VA Hospital, Madison, WI, USA
| | - Corinne D Engelman
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA.,Wisconsin Alzheimer's Institute, Madison, WI, USA.,Departments of Population Health Sciences, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Dena B Dubal
- Department of Neurology and Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Ozioma C Okonkwo
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA.,Wisconsin Alzheimer's Institute, Madison, WI, USA.,Geriatric Research Education and Clinical Center, William S. Middleton VA Hospital, Madison, WI, USA
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13
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Langella S, Sadiq MU, Mucha PJ, Giovanello KS, Dayan E. Lower functional hippocampal redundancy in mild cognitive impairment. Transl Psychiatry 2021; 11:61. [PMID: 33462184 PMCID: PMC7813821 DOI: 10.1038/s41398-020-01166-w] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Revised: 12/07/2020] [Accepted: 12/10/2020] [Indexed: 12/24/2022] Open
Abstract
With an increasing prevalence of mild cognitive impairment (MCI) and Alzheimer's disease (AD) in response to an aging population, it is critical to identify and understand neuroprotective mechanisms against cognitive decline. One potential mechanism is redundancy: the existence of duplicate elements within a system that provide alternative functionality in case of failure. As the hippocampus is one of the earliest sites affected by AD pathology, we hypothesized that functional hippocampal redundancy is protective against cognitive decline. We compared hippocampal functional redundancy derived from resting-state functional MRI networks in cognitively normal older adults, with individuals with early and late MCI, as well as the relationship between redundancy and cognition. Posterior hippocampal redundancy was reduced between cognitively normal and MCI groups, plateauing across early and late MCI. Higher hippocampal redundancy was related to better memory performance only for cognitively normal individuals. Critically, functional hippocampal redundancy did not come at the expense of network efficiency. Our results provide support that hippocampal redundancy protects against cognitive decline in aging.
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Affiliation(s)
- Stephanie Langella
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Muhammad Usman Sadiq
- Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Peter J Mucha
- Department of Mathematics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Applied Physical Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Kelly S Giovanello
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Eran Dayan
- Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
- Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
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14
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Munoz E, Filshtein T, Bettcher BM, McLaren D, Hedden T, Tommet D, Mungas D, Therneau T. Cognitive function and neuropathological outcomes: a forward-looking approach. J Neurol 2019; 266:2920-2928. [PMID: 31435771 DOI: 10.1007/s00415-019-09516-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2019] [Revised: 07/08/2019] [Accepted: 08/16/2019] [Indexed: 11/25/2022]
Abstract
OBJECTIVE To evaluate the risk of Alzheimer's disease-related neuropathology burden at autopsy given older adults' current cognitive state. METHOD Participants included 1,303 individuals who enrolled in the Religious Orders Study (ROS) and 1,789 who enrolled in the Rush Memory and Aging Project (MAP). Cognitive status was evaluated via standardized assessments of global cognition and episodic memory. At the time of analyses, about 50% of participants were deceased with the remaining numbers right censored. Using multi-state Cox proportional hazard models, we compared the cognitive status of all subjects alive at a given age and estimated future risk of dying with different AD-related neuropathologies. Endpoints considered were Braak Stages (0-2, 3-4, 5-6), CERAD (0, 1, 2, 3), and TDP-43 (0, 1, 2, 3) level. RESULTS For all three pathological groupings (Braak, CERAD, TDP-43), we found that a cognitive test score one standard deviation below average put individuals at up to three times the risk for being diagnosed with late stage AD at autopsy according to pathological designations. The effect remained significant after adjusting for sex, APOE-e4 status, smoking status, education level, and vascular health scores. CONCLUSION Applying multi-state modeling techniques, we were able to identify those at risk of exhibiting specific levels of neuropathology based on current cognitive test performance. This approach presents new and approachable possibilities in clinical settings for diagnosis and treatment development programs.
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Affiliation(s)
- Elizabeth Munoz
- Department of Human Development and Family Sciences, University of Texas at Austin, Austin, TX, 78712, USA.
- University of California, Riverside, CA, 92521, USA.
| | - Teresa Filshtein
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA.
| | - Brianne M Bettcher
- Rocky Mountain Alzheimer's Disease Center, Department of Neurology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | | | - Trey Hedden
- Department of Neurology, Icahn School of Medicine At Mount Sinai, New York, NY, USA
| | - Doug Tommet
- Department of Psychiatry and Human Behavior, Alpert Medical School, Brown University, Providence, USA
| | - Dan Mungas
- Department of Neurology, University of California, Davis, CA, USA
| | - Terry Therneau
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, USA
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15
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Gomez G, Beason-Held LL, Bilgel M, An Y, Wong DF, Studenski S, Ferrucci L, Resnick SM. Metabolic Syndrome and Amyloid Accumulation in the Aging Brain. J Alzheimers Dis 2019; 65:629-639. [PMID: 30103324 DOI: 10.3233/jad-180297] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
BACKGROUND Recent studies show links between metabolic syndrome and Alzheimer's disease (AD) neuropathology. Understanding the link between vascular-related health conditions and dementia will help target at risk populations and inform clinical strategies for early detection and prevention of AD. OBJECTIVE To determine whether metabolic syndrome is associated with global cerebral amyloid-β (Aβ) positivity and longitudinal Aβ accumulation. METHODS Prospective study of 165 participants who underwent (11)C-Pittsburgh compound B (PiB) PET neuroimaging to measure Aβ, from June 2005 to May 2016. Metabolic syndrome was defined using the revised Third Adults Treatment Panel of the National Cholesterol Education Program criteria. Participants were classified as PiB+/-. Linear mixed effects models assessed the relationships between baseline metabolic syndrome and PiB status and regional Aβ change over time. RESULTS A total of 165 cognitively normal participants of the Baltimore Longitudinal Study of Aging (BLSA) Neuroimaging substudy, aged 55-92 years (mean baseline age = 76.4 years, 85 participants were male), received an average of 2.5 PET-PiB scans over an average interval of 2.6 (3.08 SD) years between first and last visits. Metabolic syndrome was not associated with baseline PiB positivity or concurrent regional Aβ. Metabolic syndrome was associated with increased rates of Aβ accumulation in superior parietal and precuneus regions over time in the PiB+ group. Elevated fasting glucose and blood pressure showed individual associations with accelerated Aβ accumulation. CONCLUSION Metabolic syndrome was associated with accelerated Aβ accumulation in PiB+ individuals and may be an important factor in the progression of AD pathology.
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Affiliation(s)
- Gabriela Gomez
- Intramural Research Program, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Lori L Beason-Held
- Intramural Research Program, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Murat Bilgel
- Intramural Research Program, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Yang An
- Intramural Research Program, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Dean F Wong
- Department of Radiology, Johns Hopkins Medical Institutions, Baltimore, MD, USA
| | - Stephanie Studenski
- Intramural Research Program, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Luigi Ferrucci
- Intramural Research Program, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Susan M Resnick
- Intramural Research Program, National Institute on Aging, NIH, Baltimore, MD, USA
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16
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Ryan L, Hay M, Huentelman MJ, Duarte A, Rundek T, Levin B, Soldan A, Pettigrew C, Mehl MR, Barnes CA. Precision Aging: Applying Precision Medicine to the Field of Cognitive Aging. Front Aging Neurosci 2019; 11:128. [PMID: 31231204 PMCID: PMC6568195 DOI: 10.3389/fnagi.2019.00128] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2019] [Accepted: 05/16/2019] [Indexed: 12/13/2022] Open
Abstract
The current "one size fits all" approach to our cognitive aging population is not adequate to close the gap between cognitive health span and lifespan. In this review article, we present a novel model for understanding, preventing, and treating age-related cognitive impairment (ARCI) based on concepts borrowed from precision medicine. We will discuss how multiple risk factors can be classified into risk categories because of their interrelatedness in real life, the genetic variants that increase sensitivity to, or ameliorate, risk for ARCI, and the brain drivers or common mechanisms mediating brain aging. Rather than providing a definitive model of risk for ARCI and cognitive decline, the Precision Aging model is meant as a starting point to guide future research. To that end, after briefly discussing key risk categories, genetic risks, and brain drivers, we conclude with a discussion of steps that must be taken to move the field forward.
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Affiliation(s)
- Lee Ryan
- Department of Psychology, College of Science, University of Arizona, Tucson, AZ, United States
| | - Meredith Hay
- Department of Physiology, University of Arizona, Tucson, AZ, United States
| | - Matt J. Huentelman
- Neurobehavioral Research Unit, Division of Neurological Disorders, Translational Genomics Research Institute (TGen), Phoenix, AZ, United States
| | - Audrey Duarte
- Center for Advanced Brain Imaging, School of Psychology, Georgia Institute of Technology, Atlanta, GA, United States
| | - Tatjana Rundek
- Clinical and Translational Research Division, Miller School of Medicine, University of Miami, Miami, FL, United States
| | - Bonnie Levin
- Neuropsychology Division, Miller School of Medicine, University of Miami, Miami, FL, United States
| | - Anja Soldan
- Department of Neurology, School of Medicine, Johns Hopkins University, Baltimore, MD, United States
| | - Corinne Pettigrew
- Department of Neurology, School of Medicine, Johns Hopkins University, Baltimore, MD, United States
| | - Matthias R. Mehl
- Department of Psychology, College of Science, University of Arizona, Tucson, AZ, United States
| | - Carol A. Barnes
- Department of Psychology, College of Science, University of Arizona, Tucson, AZ, United States
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17
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Warren KN, Beason-Held LL, Carlson O, Egan JM, An Y, Doshi J, Davatzikos C, Ferrucci L, Resnick SM. Elevated Markers of Inflammation Are Associated With Longitudinal Changes in Brain Function in Older Adults. J Gerontol A Biol Sci Med Sci 2019; 73:770-778. [PMID: 29304217 DOI: 10.1093/gerona/glx199] [Citation(s) in RCA: 47] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2016] [Indexed: 11/14/2022] Open
Abstract
Background Chronic inflammation has been linked to memory and other cognitive impairments, as well as Alzheimer's disease. Here, we investigate the association between inflammatory markers and changes in brain activity measured by regional cerebral blood flow (rCBF) to assess the relationship between inflammation and brain function in older individuals. Methods Annual 15O water resting-state positron emission tomography (PET) scans collected over a 5-year period were assessed in 138 cognitively normal older participants (77 males; mean age at baseline = 71.3; mean scans per participant = 3.5) in the Baltimore Longitudinal Study of Aging. Voxel-wise linear mixed models were used to investigate associations between rCBF and C-reactive protein (CRP) and interleukin-6 (IL-6) at the time of scanning. We examined relationships between baseline CRP and IL-6 levels and baseline rCBF, and relationships between baseline and mean inflammatory levels over time and longitudinal rCBF changes. Results Higher baseline CRP and IL-6 were each associated with lower baseline rCBF primarily in frontal and occipital regions, with only the lingual gyrus surviving atrophy correction. Higher baseline and mean CRP were also associated with greater rCBF declines over time in anterior cingulate and hippocampal regions, whereas higher baseline and mean IL-6 levels were associated with greater rCBF declines in orbitofrontal and hippocampal regions. Conclusions Higher levels of inflammation are associated with longitudinal changes in brain function in regions important for cognition. These results, along with previous studies, suggest that chronic inflammation in older adults may contribute to age-associated declines in cognitive function.
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Affiliation(s)
- Kristen N Warren
- Intramural Research Program, National Institute on Aging, NIH, Baltimore, Maryland
| | - Lori L Beason-Held
- Intramural Research Program, National Institute on Aging, NIH, Baltimore, Maryland
| | - Olga Carlson
- Intramural Research Program, National Institute on Aging, NIH, Baltimore, Maryland
| | - Josephine M Egan
- Intramural Research Program, National Institute on Aging, NIH, Baltimore, Maryland
| | - Yang An
- Intramural Research Program, National Institute on Aging, NIH, Baltimore, Maryland
| | - Jimit Doshi
- Department of Radiology, University of Pennsylvania, Philadelphia
| | | | - Luigi Ferrucci
- Intramural Research Program, National Institute on Aging, NIH, Baltimore, Maryland
| | - Susan M Resnick
- Intramural Research Program, National Institute on Aging, NIH, Baltimore, Maryland
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18
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Hu X, Gu S, Sun X, Gu Y, Zhen X, Li Y, Huang M, Wei J, Dong H. Cognitive ageing trajectories and mortality of Chinese oldest-old. Arch Gerontol Geriatr 2019; 82:81-87. [PMID: 30716682 PMCID: PMC6451875 DOI: 10.1016/j.archger.2019.01.018] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2018] [Revised: 01/24/2019] [Accepted: 01/26/2019] [Indexed: 10/27/2022]
Abstract
OBJECTIVE This study aims to identify distinctive cognitive trajectories jointly with mortality probabilities and to explore factors related to the particular trajectories of cognitive ageing in China. METHOD 6842 individuals aged 80 years and above from 7 waves of the Chinese Longitudinal Healthy Longevity Survey were assessed with the Mini-Mental State Examination for up to 16 years. A group-based trajectory model was used to jointly estimate cognitive ageing and mortality trajectories; and to explore the factors related to membership of the trajectory groups. RESULTS A four-group model best fit the data. For all groups, the cognitive function declined with age according to different rates. Group 4, 3, 2, and 1 showed slow (prevalence 52.8%), moderate (31.1%), progressive (12.6%) and rapid (3.5%) cognitive decline, respectively. Mortality probability trajectories followed a hierarchy in consistence with cognitive trajectories approximately. Females, illiteracy, and those born in rural areas were less likely to belong to the most favorable trajectory group. CONCLUSIONS The heterogeneity of cognitive ageing was identified among Chinese oldest-old. Childhood socioeconomic status, especially education, was associated with the rate of cognitive decline.
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Affiliation(s)
- Xiaoqian Hu
- Center for Health Policy Studies, School of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
| | - Shuyan Gu
- Center for Health Policy Studies, School of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
| | - Xueshan Sun
- Center for Health Policy Studies, School of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
| | - Yuxuan Gu
- Center for Health Policy Studies, School of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
| | - Xuemei Zhen
- Center for Health Policy Studies, School of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
| | - Yuanyuan Li
- Center for Health Policy Studies, School of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
| | - Minzhuo Huang
- Center for Health Policy Studies, School of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
| | - Jingming Wei
- Center for Health Policy Studies, School of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
| | - Hengjin Dong
- Center for Health Policy Studies, School of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
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19
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Mullane K, Williams M. The de-Alzheimerization of age-related dementias: implications for drug targets and approaches to effective therapeutics. Curr Opin Pharmacol 2019; 44:62-75. [PMID: 30795894 DOI: 10.1016/j.coph.2019.01.004] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2018] [Accepted: 01/10/2019] [Indexed: 12/20/2022]
Abstract
Alzheimer's disease (AD) was differentiated from senile dementia (SD) in 1910 due to its early onset and pathological severity. In 1976, this distinction was upended when SD was redesignated as AD to focus efforts and funding in dementia-related research. AD then became conflated with amyloid plaques and, to a lesser degree, neurofibrillary tangles complicating efforts in understanding dementia causality and its treatment. The resultant four-decade search for therapies-based almost exclusively on amyloid was an exercise in futility. While dementia is a complex, multifactorial syndrome, AD is viewed as a homogeneous, linear disease. An amyloid-agnostic approach is necessary to discover therapeutics for age-related dementias.
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Affiliation(s)
- Kevin Mullane
- Gladstone Institutes, San Francisco, CA, United States
| | - Michael Williams
- Department of Biological Chemistry and Pharmacology, College of Medicine, Ohio State University, Columbus, OH, United States.
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20
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Bell WR, An Y, Kageyama Y, English C, Rudow GL, Pletnikova O, Thambisetty M, O'Brien R, Moghekar AR, Albert MS, Rabins PV, Resnick SM, Troncoso JC. Neuropathologic, genetic, and longitudinal cognitive profiles in primary age-related tauopathy (PART) and Alzheimer's disease. Alzheimers Dement 2018; 15:8-16. [PMID: 30465754 DOI: 10.1016/j.jalz.2018.07.215] [Citation(s) in RCA: 72] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2018] [Revised: 07/16/2018] [Accepted: 07/31/2018] [Indexed: 12/19/2022]
Abstract
INTRODUCTION Primary age-related tauopathy (PART) is a recently described entity that can cause cognitive impairment in the absence of Alzheimer's disease (AD). Here, we compared neuropathological features, tau haplotypes, apolipoprotein E (APOE) genotypes, and cognitive profiles in age-matched subjects with PART and AD pathology. METHODS Brain autopsies (n = 183) were conducted on participants 85 years and older from the Baltimore Longitudinal Study of Aging and Johns Hopkins Alzheimer's Disease Research Center. Participants, normal at enrollment, were followed with periodic cognitive evaluations until death. RESULTS Compared with AD, PART subjects showed significantly slower rates of decline on measures of memory, language, and visuospatial performance. They also showed lower APOE ε4 allele frequency (4.1% vs. 17.6%, P = .0046). DISCUSSION Our observations suggest that PART is separate from AD and its distinction will be important for the clinical management of patients with cognitive impairment and for public health care planning.
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Affiliation(s)
- W Robert Bell
- Department of Pathology, Division of Neuropathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Yang An
- Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Yusuke Kageyama
- Department of Pathology, Division of Neuropathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Collin English
- Department of Pathology, Division of Neuropathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Gay L Rudow
- Department of Pathology, Division of Neuropathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Olga Pletnikova
- Department of Pathology, Division of Neuropathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Madhav Thambisetty
- Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Richard O'Brien
- Department of Neurology, Duke University School of Medicine, Durham, NC, USA
| | - Abhay R Moghekar
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Marilyn S Albert
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Peter V Rabins
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Susan M Resnick
- Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Juan C Troncoso
- Department of Pathology, Division of Neuropathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
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21
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Lee S, Zhou X, Gao Y, Vardarajan B, Reyes-Dumeyer D, Rajan KB, Wilson RS, Evans DA, Besser LM, Kukull WA, Bennett DA, Brickman AM, Schupf N, Mayeux R, Barral S. Episodic memory performance in a multi-ethnic longitudinal study of 13,037 elderly. PLoS One 2018; 13:e0206803. [PMID: 30462667 PMCID: PMC6248922 DOI: 10.1371/journal.pone.0206803] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2017] [Accepted: 10/21/2018] [Indexed: 02/02/2023] Open
Abstract
Age-related changes in memory are not uniform, even in the absence of dementia. Characterization of non-disease associated cognitive changes is crucial to gain a more complete understanding of brain aging. Episodic memory was investigated in 13,037 ethnically diverse elderly (ages 72 to 85 years) with two to 15 years of follow-up, and with known dementia status, age, sex, education, and APOE genotypes. Adjusted trajectories of episodic memory performance over time were estimated using Latent Class Mixed Models. Analysis was conducted using two samples at baseline evaluation: i) non-cognitively impaired individuals, and ii) all individuals regardless of dementia status. We calculated the age-specific annual incidence rates of dementia in the non-demented elderly (n = 10,220). Two major episodic memory trajectories were estimated: 1) Stable-consisting of individuals exhibiting a constant or improved memory function, and 2) Decliner-consisting of individuals whose memory function declined. The majority of the study participants maintain their memory performance over time. Compared to those with Stable trajectory, individuals characterized as Decliners were more likely to have non-white ethnic background, fewer years of education, a higher frequency of ε4 allele at APOE gene and five times more likely to develop dementia. The steepest decline in episodic memory was observed in Caribbean-Hispanics compared to non-Hispanic whites (p = 4.3 x 10(-15)). The highest incident rates of dementia were observed in the oldest age group, among those of Caribbean-Hispanics ancestry and among Decliners who exhibited rates five times higher than those with Stable trajectories (11 per 100 person-years versus 3 per 100 person-years. Age, education, ethnic background and APOE genotype influence the maintenance of episodic memory. Declining memory is one of the strongest predictors of incident dementia.
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Affiliation(s)
- Seonjoo Lee
- Research Foundation for Mental Hygiene and the Department of Biostatics, College of Physicians and Surgeons, Columbia University, New York City, New York, United States of America
| | - Xingtao Zhou
- The Georgetown University Lombardi Comprehensive Cancer Center, Georgetown University, Washington, D.C., United States of America
| | - Yizhe Gao
- The Department of Neurology, College of Physicians and Surgeons, Columbia University, New York City, New York, United States of America
- The Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University College of Physicians and Surgeons, New York City, New York, United States of America
- Gertrude H. Sergievsky Center and Department of Neurology, Columbia University College of Physicians and Surgeons, New York City, New York, United States of America
| | - Badri Vardarajan
- The Department of Neurology, College of Physicians and Surgeons, Columbia University, New York City, New York, United States of America
- The Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University College of Physicians and Surgeons, New York City, New York, United States of America
- Gertrude H. Sergievsky Center and Department of Neurology, Columbia University College of Physicians and Surgeons, New York City, New York, United States of America
| | - Dolly Reyes-Dumeyer
- The Department of Neurology, College of Physicians and Surgeons, Columbia University, New York City, New York, United States of America
- The Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University College of Physicians and Surgeons, New York City, New York, United States of America
- Gertrude H. Sergievsky Center and Department of Neurology, Columbia University College of Physicians and Surgeons, New York City, New York, United States of America
| | - Kumar B. Rajan
- Department of Public Health Sciences, University of California at Davis, Davis, California, United States of America
| | - Robert S. Wilson
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, Illinois, United States of America
- Department of Behavioral Sciences, Rush University Medical Center, Chicago, Illinois, United States of America
| | - Denis A. Evans
- Department of Internal Medicine, Rush Institute for Healthy Aging, Rush University Medical Center, Chicago, Illinois, United States of America
| | - Lilah M. Besser
- School of Urban and Regional Planning, Florida Atlantic University, Boca Raton, Florida, United States of America
| | - Walter A. Kukull
- Department of Epidemiology, National Alzheimer's Coordinating Center, University of Washington, Seattle, Washington, United States of America
| | - David A. Bennett
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, Illinois, United States of America
| | - Adam M. Brickman
- The Department of Neurology, College of Physicians and Surgeons, Columbia University, New York City, New York, United States of America
- The Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University College of Physicians and Surgeons, New York City, New York, United States of America
- Gertrude H. Sergievsky Center and Department of Neurology, Columbia University College of Physicians and Surgeons, New York City, New York, United States of America
| | - Nicole Schupf
- The Department of Neurology, College of Physicians and Surgeons, Columbia University, New York City, New York, United States of America
- The Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University College of Physicians and Surgeons, New York City, New York, United States of America
- Gertrude H. Sergievsky Center and Department of Neurology, Columbia University College of Physicians and Surgeons, New York City, New York, United States of America
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York City, New York, United States of America
| | - Richard Mayeux
- The Department of Neurology, College of Physicians and Surgeons, Columbia University, New York City, New York, United States of America
- The Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University College of Physicians and Surgeons, New York City, New York, United States of America
- Gertrude H. Sergievsky Center and Department of Neurology, Columbia University College of Physicians and Surgeons, New York City, New York, United States of America
| | - Sandra Barral
- The Department of Neurology, College of Physicians and Surgeons, Columbia University, New York City, New York, United States of America
- The Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University College of Physicians and Surgeons, New York City, New York, United States of America
- Gertrude H. Sergievsky Center and Department of Neurology, Columbia University College of Physicians and Surgeons, New York City, New York, United States of America
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22
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Kageyama Y, Saito A, Pletnikova O, Rudow GL, Irie Y, An Y, Murakami K, Irie K, Resnick SM, Fowler DR, Martin LJ, Troncoso JC. Amyloid β toxic conformer has dynamic localization in the human inferior parietal cortex in absence of amyloid plaques. Sci Rep 2018; 8:16895. [PMID: 30442978 PMCID: PMC6237870 DOI: 10.1038/s41598-018-35004-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2018] [Accepted: 10/18/2018] [Indexed: 01/15/2023] Open
Abstract
Amyloid β (Aβ) plays a critical role in the pathogenesis of Alzheimer's disease. Nevertheless, its distribution and clearance before Aβ plaque formation needs to be elucidated. Using an optimized immunofluorescent staining method, we examined the distribution of Aβ in the post-mortem parietal cortex of 35 subjects, 30 to 65 years of age, APOE ε3/ε3, without AD lesions. We used 11A1, an antibody against an Aβ conformer which forms neurotoxic oligomers. 11A1 immunoreactivity (IR) was present in cortical neurons, pericapillary spaces, astrocytes and the extracellular compartment at 30 years of age. The percentage of neurons with 11A1 IR did not change with age, but the number and percentage of astrocytes with 11A1 IR gradually increased. Notably, the percentage of pericapillary spaces labeled with 11A1 IR declined significantly in the 5th decade of the life, at the same time that 11A1 IR increased in the extracellular space. Our findings indicate that the Aβ toxic conformer is normally present in various cell types and brain parenchyma, and appears to be constitutively produced, degraded, and cleared from the inferior parietal cortex. The decrease in pericapillary Aβ and the concomitant increase of extracellular Aβ may reflect an age-associated impairment in Aβ clearance from the brain.
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Affiliation(s)
- Yusuke Kageyama
- Department of Pathology, The Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
- Shiga University of Medical Science, Otsu, Shiga, 520-2192, Japan
| | - Atsushi Saito
- Department of Pathology, The Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Olga Pletnikova
- Department of Pathology, The Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Gay L Rudow
- Department of Pathology, The Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Yumi Irie
- Division of Food Science & Biotechnology, Graduate School of Agriculture, Kyoto University, Kyoto, Japan
| | - Yang An
- Laboratory of Behavioral Neuroscience, NIH/NIA/IRP, Baltimore, MD, USA
| | - Kazuma Murakami
- Division of Food Science & Biotechnology, Graduate School of Agriculture, Kyoto University, Kyoto, Japan
| | - Kazuhiro Irie
- Division of Food Science & Biotechnology, Graduate School of Agriculture, Kyoto University, Kyoto, Japan
| | - Susan M Resnick
- Laboratory of Behavioral Neuroscience, NIH/NIA/IRP, Baltimore, MD, USA
| | - David R Fowler
- Office of the Chief Medical Examiner, Baltimore, MD, USA
| | - Lee J Martin
- Department of Pathology, The Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
- Department of Neuroscience, The Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Juan C Troncoso
- Department of Pathology, The Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
- Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
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23
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Eavani H, Habes M, Satterthwaite TD, An Y, Hsieh MK, Honnorat N, Erus G, Doshi J, Ferrucci L, Beason-Held LL, Resnick SM, Davatzikos C. Heterogeneity of structural and functional imaging patterns of advanced brain aging revealed via machine learning methods. Neurobiol Aging 2018; 71:41-50. [PMID: 30077821 PMCID: PMC6162110 DOI: 10.1016/j.neurobiolaging.2018.06.013] [Citation(s) in RCA: 58] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2017] [Revised: 06/04/2018] [Accepted: 06/07/2018] [Indexed: 12/19/2022]
Abstract
Disentangling the heterogeneity of brain aging in cognitively normal older adults is challenging, as multiple co-occurring pathologic processes result in diverse functional and structural changes. Capitalizing on machine learning methods applied to magnetic resonance imaging data from 400 participants aged 50 to 96 years in the Baltimore Longitudinal Study of Aging, we constructed normative cross-sectional brain aging trajectories of structural and functional changes. Deviations from typical trajectories identified individuals with resilient brain aging and multiple subtypes of advanced brain aging. We identified 5 distinct phenotypes of advanced brain aging. One group included individuals with relatively extensive structural and functional loss and high white matter hyperintensity burden. Another subgroup showed focal hippocampal atrophy and lower posterior-cingulate functional coherence, low white matter hyperintensity burden, and higher medial-temporal connectivity, potentially reflecting high brain tissue reserve counterbalancing brain loss that is consistent with early stages of Alzheimer's disease. Other subgroups displayed distinct patterns. These results indicate that brain changes should not be measured seeking a single signature of brain aging but rather via methods capturing heterogeneity and subtypes of brain aging. Our findings inform future studies aiming to better understand the neurobiological underpinnings of brain aging imaging patterns.
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Affiliation(s)
- Harini Eavani
- Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, PA, USA
| | - Mohamad Habes
- Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, PA, USA.
| | - Theodore D Satterthwaite
- Department of Psychiatry, Brain Behavior Laboratory, University of Pennsylvania, Philadelphia, PA, USA
| | - Yang An
- National Institute on Aging, Baltimore, MD, USA
| | - Meng-Kang Hsieh
- Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, PA, USA
| | - Nicolas Honnorat
- Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, PA, USA
| | - Guray Erus
- Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, PA, USA
| | - Jimit Doshi
- Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, PA, USA
| | | | | | | | - Christos Davatzikos
- Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, PA, USA
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24
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Pletnikova O, Kageyama Y, Rudow G, LaClair KD, Albert M, Crain BJ, Tian J, Fowler D, Troncoso JC. The spectrum of preclinical Alzheimer's disease pathology and its modulation by ApoE genotype. Neurobiol Aging 2018; 71:72-80. [PMID: 30099348 DOI: 10.1016/j.neurobiolaging.2018.07.007] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2017] [Revised: 07/09/2018] [Accepted: 07/11/2018] [Indexed: 01/26/2023]
Abstract
Sporadic Alzheimer's disease (AD) usually presents clinically after 65 years of age, but its pathological changes begin decades earlier. We examined for AD pathology in the postmortem brains of 431 of subjects aged 30-65 years not clinically characterized. Among 40-49 year olds, 15% showed diffuse amyloid β (Aβ) plaques, with a prevalence of 80% in ApoE4/E4, 42% in E4/E3, and <1% in E3/E3 subjects. Aβ deposits appeared after age 49 years in subjects with E3/E3 genotypes. Neuritic plaques first appeared after age 50 years and increased steadily with age in all genotypes. Insoluble Aβ42 levels were highest in parietal, temporal, and frontal lobes, but barely detectable in precuneus. Tau lesions were present in the hippocampus and entorhinal cortex in 7% of subjects aged <40 years and increased steadily with age reaching near 70% in the 60- to 65-year age group. In the locus coeruleus, tau lesions were present in 72% of subjects aged 31-40 years and 94% in the 41- to 50-year age group. Both Aβ and tau lesions are present in the brains of young individuals decades before the age of clinical onset of AD. Aβ lesions closely correlate with the ApoE4 allele and appear as the earliest event in the development of senile plaques.
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Affiliation(s)
- Olga Pletnikova
- Department of Pathology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Yusuke Kageyama
- Department of Pathology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Gay Rudow
- Department of Pathology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Katherine D LaClair
- Department of Pathology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Marilyn Albert
- Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Barbara J Crain
- Department of Pathology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jing Tian
- Biostatistics Consulting Center, The Johns Hopkins School of Public Health, Baltimore, MD, USA
| | - David Fowler
- Office of the Chief Medical Examiner, Baltimore, MD, USA
| | - Juan C Troncoso
- Department of Pathology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
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25
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Lin YS, Lin FY, Hsiao YH. Myostatin Is Associated With Cognitive Decline in an Animal Model of Alzheimer's Disease. Mol Neurobiol 2018; 56:1984-1991. [PMID: 29982981 DOI: 10.1007/s12035-018-1201-y] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2018] [Accepted: 06/26/2018] [Indexed: 12/22/2022]
Abstract
With aging, there are progressive functional declines in multiple organ systems. One of the major physiological problems observed in aged people is skeletal muscle loss. This age-related muscle loss causes muscle weakness and disability, which in turn might reduce the quality of life in older adults and lead to the progression of several diseases, particularly Alzheimer's disease (AD). Some researchers have hypothesized that loss of muscle mass and strength is linked to the risk of developing AD. In addition, unintended weight loss often occurs in AD patients and might reflect dementia severity. However, the causal relationship between muscle atrophy and cognitive deficits in AD is unclear. We found that double transgenic amyloid precursor protein and presenilin 1 (APP/PS1) mice that co-express APP and PS1 at older ages exhibited lower body weight and lean tissue mass than sex- and age-matched wild-type (WT) mice. In addition, muscle atrophy and the extent of memory decline were strongly correlated in APP/PS1 mice. Myostatin levels in the gastrocnemius (GAS) muscle of 12-month-old APP/PS1 mice were elevated. We determined that the cellular and molecular mechanism of muscle atrophy was through the ubiquitin-proteasome pathway. Furthermore, myostatin knockdown in the GAS muscles increased grip strength and muscle mass, leading to memory improvement in myostatin short-hairpin RNA-treated APP/PS1 mice. We conclude that high-level myostatin expression might mediate or trigger muscle atrophy and cognitive deficits.
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Affiliation(s)
- Yung-Shuen Lin
- Department of Pharmacology, College of Medicine, National Cheng Kung University, Tainan, 70101, Taiwan
| | - Fang-Yu Lin
- Department of Pharmacology, College of Medicine, National Cheng Kung University, Tainan, 70101, Taiwan
| | - Ya-Hsin Hsiao
- Department of Pharmacology, College of Medicine, National Cheng Kung University, Tainan, 70101, Taiwan. .,Institute of Basic Medical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan. .,Institute of Behavioral Medicine, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
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26
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Mecocci P, Baroni M, Senin U, Boccardi V. Brain Aging and Late-Onset Alzheimer’s Disease: A Matter of Increased Amyloid or Reduced Energy? J Alzheimers Dis 2018; 64:S397-S404. [DOI: 10.3233/jad-179903] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Affiliation(s)
- Patrizia Mecocci
- Department of Medicine, Institute of Gerontology and Geriatrics, University of Perugia, Italy
| | - Marta Baroni
- Department of Medicine, Institute of Gerontology and Geriatrics, University of Perugia, Italy
| | - Umberto Senin
- Department of Medicine, Institute of Gerontology and Geriatrics, University of Perugia, Italy
| | - Virginia Boccardi
- Department of Medicine, Institute of Gerontology and Geriatrics, University of Perugia, Italy
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27
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de la Torre JC. Cerebral Perfusion Enhancing Interventions: A New Strategy for the Prevention of Alzheimer Dementia. Brain Pathol 2018; 26:618-31. [PMID: 27324946 DOI: 10.1111/bpa.12405] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2016] [Revised: 04/29/2016] [Accepted: 05/04/2016] [Indexed: 12/19/2022] Open
Abstract
Cardiovascular and cerebrovascular diseases are major risk factors in the development of cognitive impairment and Alzheimer's disease (AD). These cardio-cerebral disorders promote a variety of vascular risk factors which in the presence of advancing age are prone to markedly reduce cerebral perfusion and create a neuronal energy crisis. Long-term hypoperfusion of the brain evolves mainly from cardiac structural pathology and brain vascular insufficiency. Brain hypoperfusion in the elderly is strongly associated with the development of mild cognitive impairment (MCI) and both conditions are presumed to be precursors of Alzheimer dementia. A therapeutic target to prevent or treat MCI and consequently reduce the incidence of AD aims to elevate cerebral perfusion using novel pharmacological agents. As reviewed here, the experimental pharmaca include the use of Rho kinase inhibitors, neurometabolic energy boosters, sirtuins and vascular growth factors. In addition, a compelling new technique in laser medicine called photobiomodulation is reviewed. Photobiomodulation is based on the use of low level laser therapy to stimulate mitochondrial energy production non-invasively in nerve cells. The use of novel pharmaca and photobiomodulation may become important tools in the treatment or prevention of cognitive decline that can lead to dementia.
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Jansen WJ, Wilson RS, Visser PJ, Nag S, Schneider JA, James BD, Leurgans SE, Capuano AW, Bennett DA, Boyle PA. Age and the association of dementia-related pathology with trajectories of cognitive decline. Neurobiol Aging 2018; 61:138-145. [PMID: 29078129 PMCID: PMC5721665 DOI: 10.1016/j.neurobiolaging.2017.08.029] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2016] [Revised: 08/23/2017] [Accepted: 08/26/2017] [Indexed: 01/06/2023]
Abstract
The association of dementia-related pathologies with cognition is hypothesized to decrease as age advances. We examined this in 413 persons without cognitive impairment at baseline who completed annual cognitive evaluations during a mean of 10.4 years. After death, neuropathologic examinations quantified beta amyloid plaque load, neurofibrillary tangles, and transactive response DNA-binding protein 43 pathology, and identified Lewy bodies, hippocampal sclerosis, and gross and microscopic cerebral infarcts. We tested whether age at death modified associations of these neuropathologies with the nonlinear trajectory of cognitive decline using mixed-effects change point models. The rate of global cognitive decline was gradual at first and then increased approximately 10-fold in the last 3 years of life. After adjustment for all other pathologic indices, tangle density, gross infarcts, Lewy bodies, and transactive response DNA-binding protein 43 were associated with global cognitive decline. However, the deleterious association of dementia-related pathologies with cognitive decline did not systematically vary by age. This suggests that the neuropathologic mechanisms underlying late-life cognitive decline do not substantially differ across the spectrum of age.
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Affiliation(s)
- Willemijn J Jansen
- Department of Psychiatry and Neuropsychology, Alzheimer Center Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands.
| | - Robert S Wilson
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA; Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA; Department of Behavioral Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Pieter Jelle Visser
- Department of Psychiatry and Neuropsychology, Alzheimer Center Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands; Department of Neurology, VUmc Alzheimer Center, VU University Medical Center, Neuroscience Campus Amsterdam, Amsterdam, the Netherlands
| | - Sukriti Nag
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA; Department of Pathology, Rush University Medical Center, Chicago, IL, USA
| | - Julie A Schneider
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA; Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA; Department of Pathology, Rush University Medical Center, Chicago, IL, USA
| | - Bryan D James
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA; Department of Internal Medicine, Rush University Medical Center, Chicago, IL, USA
| | - Sue E Leurgans
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA; Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Ana W Capuano
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA; Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA; Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Patricia A Boyle
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA; Department of Behavioral Sciences, Rush University Medical Center, Chicago, IL, USA
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29
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Lai AY, McLaurin J. Rho-associated protein kinases as therapeutic targets for both vascular and parenchymal pathologies in Alzheimer's disease. J Neurochem 2017; 144:659-668. [PMID: 28722749 DOI: 10.1111/jnc.14130] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2017] [Revised: 06/21/2017] [Accepted: 07/14/2017] [Indexed: 12/30/2022]
Abstract
The causes of late-onset Alzheimer's disease are unclear and likely multifactorial. Rho-associated protein kinases (ROCKs) are ubiquitously expressed signaling messengers that mediate a wide array of cellular processes. Interestingly, they play an important role in several vascular and brain pathologies implicated in Alzheimer's etiology, including hypertension, hypercholesterolemia, blood-brain barrier disruption, oxidative stress, deposition of vascular and parenchymal amyloid-beta peptides, tau hyperphosphorylation, and cognitive decline. The current review summarizes the functions of ROCKs with respect to the various risk factors and pathologies on both sides of the blood-brain barrier and present support for targeting ROCK signaling as a multifactorial and multi-effect approach for the prevention and amelioration of late-onset Alzheimer's disease. This article is part of the Special Issue "Vascular Dementia".
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Affiliation(s)
- Aaron Y Lai
- Biological Sciences Platform, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - JoAnne McLaurin
- Biological Sciences Platform, Sunnybrook Research Institute, Toronto, Ontario, Canada.,Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
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30
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Frontal, Striatal, and Medial Temporal Sensitivity to Value Distinguishes Risk-Taking from Risk-Aversive Older Adults during Decision Making. J Neurosci 2017; 36:12498-12509. [PMID: 27927964 DOI: 10.1523/jneurosci.1386-16.2016] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2016] [Revised: 10/21/2016] [Accepted: 10/22/2016] [Indexed: 11/21/2022] Open
Abstract
Aging compromises the frontal, striatal, and medial temporal areas of the reward system, impeding accurate value representation and feedback processing critical for decision making. However, substantial variability characterizes age-related effects on the brain so that some older individuals evince clear neurocognitive declines whereas others are spared. Moreover, the functional correlates of normative individual differences in older-adult value-based decision making remain unclear. We performed a functional magnetic resonance imaging study in 173 human older adults during a lottery choice task in which costly to more desirable stakes were depicted using low to high expected values (EVs) of points. Across trials that varied in EVs, participants decided to accept or decline the offered stakes to maximize total accumulated points. We found that greater age was associated with less optimal decisions, accepting stakes when losses were likely and declining stakes when gains were likely, and was associated with increased frontal activity for costlier stakes. Critically, risk preferences varied substantially across older adults and neural sensitivity to EVs in the frontal, striatal, and medial temporal areas dissociated risk-aversive from risk-taking individuals. Specifically, risk-averters increased neural responses to increasing EVs as stakes became more desirable, whereas risk-takers increased neural responses with decreasing EV as stakes became more costly. Risk preference also modulated striatal responses during feedback with risk-takers showing more positive responses to gains compared with risk-averters. Our findings highlight the frontal, striatal, and medial temporal areas as key neural loci in which individual differences differentially affect value-based decision-making ability in older adults. SIGNIFICANCE STATEMENT Frontal, striatal, and medial temporal functions implicated in value-based decision processing of rewards and costs undergo substantial age-related changes. However, age effects on brain function and cognition differ across individuals. How this normative variation relates to older-adult value-based decision making is unclear. We found that although the ability make optimal decisions declines with age, there is still much individual variability in how this deterioration occurs. Critically, whereas risk-averters showed increased neural activity to increasingly valuable stakes in frontal, striatal, and medial temporal areas, risk-takers instead increased activity as stakes became more costly. Such distinct functional decision-making processing in these brain regions across normative older adults may reflect individual differences in susceptibility to age-related brain changes associated with incipient cognitive impairment.
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31
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Boyle PA, Yang J, Yu L, Leurgans SE, Capuano AW, Schneider JA, Wilson RS, Bennett DA. Varied effects of age-related neuropathologies on the trajectory of late life cognitive decline. Brain 2017; 140:804-812. [PMID: 28082297 DOI: 10.1093/brain/aww341] [Citation(s) in RCA: 49] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2016] [Accepted: 11/18/2016] [Indexed: 01/27/2023] Open
Abstract
The objective of this study was to examine whether the effects of age-related neuropathologies on cognition change over time. Participants were 1096 deceased persons from two clinical-pathologic studies. All were without dementia at baseline, completed a detailed battery of cognitive tests annually over up to 21 years, died, and underwent detailed neuropathologic examinations to identify Alzheimer's disease pathology, vascular pathologies (i.e. macro- and microscopic infarcts, atherosclerosis, arteriolar sclerosis, and cerebral amyloid angiopathy), Lewy bodies, transactive response DNA-binding protein 43 (TDP-43) pathology, and hippocampal sclerosis. A time-varying effects model was used to flexibly characterize the trajectory of global cognition and assess whether the effects of demographics and each neuropathologic index on cognition changed over time. Results indicated that the mean trajectory of global cognition was characterized by gradual cognitive decline beginning ∼15 years before death and accelerated decline in the last few years. With the exception of microinfarcts and arteriolar sclerosis, all neuropathologies were associated with the cognitive trajectory. However, the nature of their associations varied. Alzheimer's disease pathology, macroscopic infarcts, Lewy bodies, TDP-43 pathology, and hippocampal sclerosis were associated with progressive cognitive decline, with their deleterious effects increasing over time. By contrast, atherosclerosis and cerebral amyloid angiopathy pathology were associated with a lower level of cognition but their effects were relatively stable over time. These results suggest that age-related neuropathologies are differentially related to late life cognitive trajectories. Whereas some contribute to progressive cognitive deterioration, others lower the level of cognition but exert relatively stable effects over time.
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Affiliation(s)
- Patricia A Boyle
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA.,Department of Behavioral Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Jingyun Yang
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA.,Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Lei Yu
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA.,Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Sue E Leurgans
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA.,Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Ana W Capuano
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA.,Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Julie A Schneider
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA.,Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA.,Department of Pathology, Rush University Medical Center, Chicago, IL, USA
| | - Robert S Wilson
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA.,Department of Behavioral Sciences, Rush University Medical Center, Chicago, IL, USA.,Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA.,Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
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32
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Xiao MF, Xu D, Craig MT, Pelkey KA, Chien CC, Shi Y, Zhang J, Resnick S, Pletnikova O, Salmon D, Brewer J, Edland S, Wegiel J, Tycko B, Savonenko A, Reeves RH, Troncoso JC, McBain CJ, Galasko D, Worley PF. NPTX2 and cognitive dysfunction in Alzheimer's Disease. eLife 2017; 6. [PMID: 28440221 PMCID: PMC5404919 DOI: 10.7554/elife.23798] [Citation(s) in RCA: 132] [Impact Index Per Article: 18.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2016] [Accepted: 03/15/2017] [Indexed: 12/14/2022] Open
Abstract
Memory loss in Alzheimer’s disease (AD) is attributed to pervasive weakening and loss of synapses. Here, we present findings supporting a special role for excitatory synapses connecting pyramidal neurons of the hippocampus and cortex with fast-spiking parvalbumin (PV) interneurons that control network excitability and rhythmicity. Excitatory synapses on PV interneurons are dependent on the AMPA receptor subunit GluA4, which is regulated by presynaptic expression of the synaptogenic immediate early gene NPTX2 by pyramidal neurons. In a mouse model of AD amyloidosis, Nptx2-/- results in reduced GluA4 expression, disrupted rhythmicity, and increased pyramidal neuron excitability. Postmortem human AD cortex shows profound reductions of NPTX2 and coordinate reductions of GluA4. NPTX2 in human CSF is reduced in subjects with AD and shows robust correlations with cognitive performance and hippocampal volume. These findings implicate failure of adaptive control of pyramidal neuron-PV circuits as a pathophysiological mechanism contributing to cognitive failure in AD. DOI:http://dx.doi.org/10.7554/eLife.23798.001
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Affiliation(s)
- Mei-Fang Xiao
- Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, United States.,Department of Physiology, Johns Hopkins University School of Medicine, Baltimore, United States.,Institute for Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, United States
| | - Desheng Xu
- Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, United States
| | - Michael T Craig
- Program in Developmental Neurobiology, Eunice Kennedy-Shriver National Institute of Child Health and Human Development, Bethesda, United States
| | - Kenneth A Pelkey
- Program in Developmental Neurobiology, Eunice Kennedy-Shriver National Institute of Child Health and Human Development, Bethesda, United States
| | - Chun-Che Chien
- Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, United States
| | - Yang Shi
- Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, United States
| | - Juhong Zhang
- Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, United States
| | - Susan Resnick
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Intramural Research Program, Baltimore, United States
| | - Olga Pletnikova
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, United States
| | - David Salmon
- Department of Neurosciences, University of California San Diego Medical Center, San Diego, United States.,Shiley-Marcos Alzheimer's Disease Research Center, University of California San Diego Medical Center, San Diego, United States
| | - James Brewer
- Department of Neurosciences, University of California San Diego Medical Center, San Diego, United States.,Shiley-Marcos Alzheimer's Disease Research Center, University of California San Diego Medical Center, San Diego, United States
| | - Steven Edland
- Shiley-Marcos Alzheimer's Disease Research Center, University of California San Diego Medical Center, San Diego, United States.,Division of Biostatistics and Bioinformatics, University of California San Diego, San Diego, United States
| | - Jerzy Wegiel
- Institute for Basic Research, New York City, United States
| | - Benjamin Tycko
- Taub Institute for Research on Alzheimer's disease and the Aging Brain, Columbia University, New York City, United States
| | - Alena Savonenko
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, United States
| | - Roger H Reeves
- Department of Physiology, Johns Hopkins University School of Medicine, Baltimore, United States.,Institute for Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, United States
| | - Juan C Troncoso
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, United States.,Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, United States
| | - Chris J McBain
- Program in Developmental Neurobiology, Eunice Kennedy-Shriver National Institute of Child Health and Human Development, Bethesda, United States
| | - Douglas Galasko
- Department of Neurosciences, University of California San Diego Medical Center, San Diego, United States.,Shiley-Marcos Alzheimer's Disease Research Center, University of California San Diego Medical Center, San Diego, United States
| | - Paul F Worley
- Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, United States.,Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, United States
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33
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Seyfried NT, Dammer EB, Swarup V, Nandakumar D, Duong DM, Yin L, Deng Q, Nguyen T, Hales CM, Wingo T, Glass J, Gearing M, Thambisetty M, Troncoso JC, Geschwind DH, Lah JJ, Levey AI. A Multi-network Approach Identifies Protein-Specific Co-expression in Asymptomatic and Symptomatic Alzheimer's Disease. Cell Syst 2016; 4:60-72.e4. [PMID: 27989508 DOI: 10.1016/j.cels.2016.11.006] [Citation(s) in RCA: 293] [Impact Index Per Article: 36.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2016] [Revised: 09/23/2016] [Accepted: 11/09/2016] [Indexed: 01/07/2023]
Abstract
Here, we report proteomic analyses of 129 human cortical tissues to define changes associated with the asymptomatic and symptomatic stages of Alzheimer's disease (AD). Network analysis revealed 16 modules of co-expressed proteins, 10 of which correlated with AD phenotypes. A subset of modules overlapped with RNA co-expression networks, including those associated with neurons and astroglial cell types, showing altered expression in AD, even in the asymptomatic stages. Overlap of RNA and protein networks was otherwise modest, with many modules specific to the proteome, including those linked to microtubule function and inflammation. Proteomic modules were validated in an independent cohort, demonstrating some module expression changes unique to AD and several observed in other neurodegenerative diseases. AD genetic risk loci were concentrated in glial-related modules in the proteome and transcriptome, consistent with their causal role in AD. This multi-network analysis reveals protein- and disease-specific pathways involved in the etiology, initiation, and progression of AD.
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Affiliation(s)
- Nicholas T Seyfried
- Department of Biochemistry, Emory University School of Medicine, Atlanta, GA 30322, USA; Department of Neurology, Emory University School of Medicine, Atlanta, GA 30322, USA.
| | - Eric B Dammer
- Department of Biochemistry, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Vivek Swarup
- Department of Human Genetics, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA
| | - Divya Nandakumar
- Department of Biochemistry, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Duc M Duong
- Department of Biochemistry, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Luming Yin
- Department of Biochemistry, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Qiudong Deng
- Department of Biochemistry, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Tram Nguyen
- Department of Biochemistry, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Chadwick M Hales
- Department of Neurology, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Thomas Wingo
- Department of Neurology, Emory University School of Medicine, Atlanta, GA 30322, USA; Division of Neurology, Atlanta VA Medical Center, Decatur, GA 30033, USA
| | - Jonathan Glass
- Department of Neurology, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Marla Gearing
- Department of Experimental Pathology, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Madhav Thambisetty
- Johns Hopkins School of Medicine, Baltimore, MD 21205, USA; National Institute on Aging, National Institutes of Health, Bethesda, MD 20892, USA
| | | | - Daniel H Geschwind
- Department of Human Genetics, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA
| | - James J Lah
- Department of Neurology, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Allan I Levey
- Department of Neurology, Emory University School of Medicine, Atlanta, GA 30322, USA.
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34
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The Differential Effects of Alzheimer's Disease and Lewy Body Pathology on Cognitive Performance: a Meta-analysis. Neuropsychol Rev 2016; 27:1-17. [PMID: 27878426 DOI: 10.1007/s11065-016-9334-0] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2016] [Accepted: 09/29/2016] [Indexed: 10/20/2022]
Abstract
Differential diagnosis of Alzheimer's disease (AD) from normal aging and other dementia etiologies is imperative for disease specific treatment options and long-term care planning. Neuropathological confirmation is the gold standard for neurodegenerative disease diagnosis, yet most published studies examining the use of neuropsychological tests in the differential diagnosis of dementia rely upon clinical diagnostic outcomes. The present study undertook a meta-analytic review of the literature to identify cognitive tests and domains that allow for the differentiation of individuals with AD pathology from individuals with dementia with Lewy Bodies (DLB) pathology and pathology-free individuals. A comprehensive literature search yielded 14 studies that met the inclusion criteria for the present meta-analysis. Six studies comprised 222 decedents with AD compared to 433 normal controls, and eight studies comprised 431 cases of AD compared to 155 decedents with DLB. Results revealed that the effect of having neuropathologically confirmed AD versus DLB lowered performance in the memory domain, and having DLB decreased performance in the visuospatial domain. No single test differed significantly across the AD and DLB groups. For the AD and pathology free comparison, results indicated that that AD was associated with poorer performance on the memory and language domains. With respect to specific cognitive tests, AD produced lower scores on list learning tests, category fluency, and the Digit Symbol substitution test. The limited number of studies meeting inclusion criteria warrants formulation of guidelines for reporting in clinico-pathological studies; suggested guidelines are provided.
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35
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Calderón-Garcidueñas L, San Juan Chávez V, Vacaseydel-Aceves NB, Calderón-Sánchez R, Macías-Escobedo E, Frías C, Giacometto M, Velasquez L, Félix-Villarreal R, Martin JD, Draheim C, Engle RW. Chocolate, Air Pollution and Children's Neuroprotection: What Cognition Tools should be at Hand to Evaluate Interventions? Front Pharmacol 2016; 7:232. [PMID: 27563291 PMCID: PMC4980563 DOI: 10.3389/fphar.2016.00232] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2016] [Accepted: 07/18/2016] [Indexed: 12/19/2022] Open
Abstract
Millions of children across the world are exposed to multiple sources of indoor and outdoor air pollutants, including high concentrations of fine particulate matter (PM2.5) and ozone (O3). The established link between exposure to PM2.5, brain structural, volumetric and metabolic changes, severe cognitive deficits (1.5-2 SD from average IQ) in APOE 4 heterozygous females with >75 − < 94% BMI percentiles, and the presence of Alzheimer's disease (AD) hallmarks in urban children and young adults necessitates exploration of ways to protect these individuals from the deleterious neural effects of pollution exposure. Emerging research suggests that cocoa interventions may be a viable option for neuroprotection, with evidence suggesting that early cocoa interventions could limit the risk of cognitive and developmental concerns including: endothelial dysfunction, cerebral hypoperfusion, neuroinflammation, and metabolic detrimental brain effects. Currently, however, it is not clear how early we should implement consumption of cocoa to optimize its neuroprotective effects. Moreover, we have yet to identify suitable instruments for evaluating cognitive responses to these interventions in clinically healthy children, teens, and young adults. An approach to guide the selection of cognitive tools should take into account neuropsychological markers of cognitive declines in patients with Alzheimer's neuropathology, the distinct patterns of memory impairment between early and late onset AD, and the key literature associating white matter integrity and poor memory binding performance in cases of asymptomatic familial AD. We highlight potential systemic and neural benefits of cocoa consumption. We also highlight Working Memory Capacity (WMC) and attention control tasks as opened avenues for exploration in the air pollution scenario. Exposures to air pollutants during brain development have serious brain consequences in the short and long term and reliable cognition tools should be at hand to evaluate interventions.
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Affiliation(s)
- Lilian Calderón-Garcidueñas
- Biomedical Sciences, University of MontanaMissoula, MT, USA; Universidad del Valle de MéxicoCiudad de México, Mexico
| | | | | | | | | | | | | | - Luis Velasquez
- Facultad de Medicina, Universidad Andrés Bello Santiago de Chile, Chile
| | | | - Jessie D Martin
- School of Psychology, Georgia Institute of Technology Atlanta, GA, USA
| | | | - Randall W Engle
- School of Psychology, Georgia Institute of Technology Atlanta, GA, USA
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36
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Iacono D, Zandi P, Gross M, Markesbery WR, Pletnikova O, Rudow G, Troncoso JC. APOε2 and education in cognitively normal older subjects with high levels of AD pathology at autopsy: findings from the Nun Study. Oncotarget 2016; 6:14082-91. [PMID: 26101858 PMCID: PMC4546453 DOI: 10.18632/oncotarget.4118] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2015] [Accepted: 04/30/2015] [Indexed: 11/25/2022] Open
Abstract
Asymptomatic Alzheimer's disease (ASYMAD) subjects are individuals characterized by preserved cognition before death despite substantial AD pathology at autopsy. ASYMAD subjects show comparable levels of AD pathology, i.e. β-amyloid neuritic plaques (Aβ-NP) and tau-neurofibrillary tangles (NFT), to those observed in mild cognitive impairment (MCI) and some definite AD cases. Previous clinicopathologic studies on ASYMAD subjects have shown specific phenomena of hypertrophy in the cell bodies, nuclei, and nucleoli of hippocampal pyramidal neurons and other cerebral areas. Since it is well established that the allele APOε4 is a major genetic risk factor for AD, we examined whether specific alleles of APOE could be associated with the different clinical outcomes between ASYMAD and MCI subjects despite equivalent AD pathology. A total of 523 brains from the Nun Study were screened for this investigation. The results showed higher APOε2 frequency (p < 0.001) in ASYMAD (19.2%) vs. MCI (0%) and vs. AD (4.7%). Furthermore, higher education in ASYMAD vs. MCI and AD (p < 0.05) was found. These novel autopsy-verified findings support the hypothesis of the beneficial effect of APOε2 and education, both which seem to act as contributing factors in delaying or forestalling the clinical manifestations of AD despite consistent levels of AD pathology.
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Affiliation(s)
- Diego Iacono
- Neuropathology Division, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA.,Neuropathology Research, Biomedical Research Institute of New Jersey, Cedar Knolls, NJ, USA.,Atlantic Neuroscience Institute, Overlook Medical Center, Summit, NJ, USA.,Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Peter Zandi
- Department of Mental Health, Johns Hopkins University, Baltimore, MD, USA
| | - Myron Gross
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | - William R Markesbery
- Department of Pathology, Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA.,Department of Neurology, Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA.,Alzheimer's Disease Center, Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
| | - Olga Pletnikova
- Neuropathology Division, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA
| | - Gay Rudow
- Neuropathology Division, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA
| | - Juan C Troncoso
- Neuropathology Division, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA.,Department of Neurology, Johns Hopkins University, Baltimore, MD, USA
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37
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Abstract
OBJECTIVE To test the hypothesis that asymptomatic Alzheimer disease lesions may appear before 50 years of age. BACKGROUND Alzheimer disease has an asymptomatic stage during which people are cognitively intact despite having substantial pathologic changes in the brain. While this asymptomatic stage is common in older people, how early in life it may develop has been unknown. METHODS We microscopically examined the postmortem brains of 154 people aged 30 to 39 years (n=59) and 40 to 50 years (n=95) for specific Alzheimer lesions: beta-amyloid plaques, neurofibrillary tangles, and tau-positive neurites. We genotyped DNA samples for the apolipoprotein E gene (APOE). RESULTS We found beta-amyloid lesions in 13 brains, all of them from people aged 40 to 49 with no history of dementia. These plaques were of the diffuse type only and appeared throughout the neocortex. Among these 13 brains, five had very subtle tau lesions in the entorhinal cortex and/or hippocampus. All individuals with beta-amyloid deposits carried one or two APOE4 alleles. Among the individuals aged 40 to 50 with genotype APOE3/4, 10 (36%) had beta-amyloid deposits but 18 (64%) had none. CONCLUSIONS Our study demonstrates that beta-amyloid deposits in the cerebral cortex appear as early as 40 years of age in APOE4 carriers, suggesting that these lesions may constitute a very early stage of Alzheimer disease. Future preventive and therapeutic measures for this disease may have to be stratified by risk factors like APOE genotype and may need to target people in their 40s or even earlier.
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38
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Fabbri E, An Y, Zoli M, Tanaka T, Simonsick EM, Kitner-Triolo MH, Studenski SA, Resnick SM, Ferrucci L. Association Between Accelerated Multimorbidity and Age-Related Cognitive Decline in Older Baltimore Longitudinal Study of Aging Participants without Dementia. J Am Geriatr Soc 2016; 64:965-72. [PMID: 27131225 DOI: 10.1111/jgs.14092] [Citation(s) in RCA: 74] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
OBJECTIVES To explore the association between rate of physical health deterioration, operationalized as rising multimorbidity overtime, and longitudinal decline in cognitive function in older adults without dementia. DESIGN Longitudinal (Baltimore Longitudinal Study of Aging (BLSA)). SETTING Community. PARTICIPANTS BLSA participants aged 65 and older followed for an average of 3 years and free of dementia or mild cognitive impairment (MCI) at baseline and follow-up (N = 756). MEASUREMENTS Standardized neurocognitive tests evaluating mental status, memory, executive function, processing speed, and verbal fluency were administered. Multimorbidity was assessed at each visit as number of diagnosed chronic diseases from a predefined list. Faster accumulation of chronic diseases was defined as upper quartile of rate of change in number of diseases over time (≥0.25 diseases/year). RESULTS Faster accumulation of chronic diseases was significantly associated with greater rate of decline on the Category (P = .01) and Letter (P = .01) Fluency Tests. Similar trends were also found for the Trail-Making Test Parts A (P = .08) and B (P = .07); no association was found with rate of change in visual and verbal memory. CONCLUSION Although further investigations are required to validate the results and fully understand the underlying mechanisms, these findings suggest that accelerated deterioration of physical health is associated with accelerated decline with aging in specific cognitive domains in older adults without dementia.
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Affiliation(s)
- Elisa Fabbri
- Translational Gerontology Branch, Longitudinal Study Section, Clinical Research Branch, National Institute on Aging, National Institutes of Health Baltimore, Baltimore, Maryland.,Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
| | - Yang An
- Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, Maryland
| | - Marco Zoli
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
| | - Toshiko Tanaka
- Translational Gerontology Branch, Longitudinal Study Section, Clinical Research Branch, National Institute on Aging, National Institutes of Health Baltimore, Baltimore, Maryland
| | - Eleanor M Simonsick
- Translational Gerontology Branch, Longitudinal Study Section, Clinical Research Branch, National Institute on Aging, National Institutes of Health Baltimore, Baltimore, Maryland
| | - Melissa H Kitner-Triolo
- Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, Maryland
| | - Stephanie A Studenski
- Translational Gerontology Branch, Longitudinal Study Section, Clinical Research Branch, National Institute on Aging, National Institutes of Health Baltimore, Baltimore, Maryland
| | - Susan M Resnick
- Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, Maryland
| | - Luigi Ferrucci
- Translational Gerontology Branch, Longitudinal Study Section, Clinical Research Branch, National Institute on Aging, National Institutes of Health Baltimore, Baltimore, Maryland
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Neuropsychological Markers of Cognitive Decline in Persons With Alzheimer Disease Neuropathology. J Neuropathol Exp Neurol 2016; 74:1086-92. [PMID: 26469250 DOI: 10.1097/nen.0000000000000254] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
To evaluate cognitive performance among persons who did and did not develop clinical Alzheimer disease (AD) but had AD neuropathology at autopsy, we examined neuropsychological performance in cognitively healthy (Clinical Dementia Rating [CDR] = 0) participants who returned for at least 1 follow-up and died within 2 years of their last assessment. Nonprogressors remained at CDR = 0 until death; progressors developed symptomatic AD during life (CDR > 0). Cognitive performance at baseline was compared between progressors and nonprogressors on a global cognitive composite and 4 domain-specific composites (episodic memory, language, attention/working memory, and executive function). Models adjusted for age, education, sex, and non-AD neuropathology. Progressors (n = 173) had worse performance than nonprogressors (n = 141) in nearly all cognitive domains. Progressors scored lower on composites of global cognition (P < 0.001), executive function (P = 0.0006), language (P < 0.0001), and episodic memory (P = 0.0006) but not on attention/working memory (P = 0.91). These data indicate that individuals with underlying AD neuropathology who are clinically healthy but who later develop symptomatic AD have worse performance in a wide range of domains versus individuals with underlying AD neuropathology who are clinically healthy but do not become symptomatic during life. Therefore, subtle cognitive decline at baseline may indicate an increased risk of progression to symptomatic AD.
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Tian Q, Resnick SM, Ferrucci L, Studenski SA. Intra-individual lap time variation of the 400-m walk, an early mobility indicator of executive function decline in high-functioning older adults? AGE (DORDRECHT, NETHERLANDS) 2015; 37:115. [PMID: 26561401 PMCID: PMC5005853 DOI: 10.1007/s11357-015-9855-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2015] [Accepted: 11/05/2015] [Indexed: 06/02/2023]
Abstract
Higher intra-individual lap time variation (LTV) of the 400-m walk is cross-sectionally associated with poorer attention in older adults. Whether higher LTV predicts decline in executive function and whether the relationship is accounted for by slower walking remain unanswered. The main objective of this study was to examine the relationship between baseline LTV and longitudinal change in executive function. We used data from 347 participants aged 60 years and older (50.7% female) from the Baltimore Longitudinal Study of Aging. Longitudinal assessments of executive function were conducted between 2007 and 2013, including attention (Trails A, Digit Span Forward Test), cognitive flexibility and set shifting (Trails B, Delta TMT: Trials B minus Trials A), visuoperceptual speed (Digit Symbol Substitution Test), and working memory (Digit Span Backward Test). LTV and mean lap time (MLT) were obtained from the 400-m walk test concurrent with the baseline executive function assessment. LTV was computed as variability of lap time across ten 40-m laps based on individual trajectories. A linear mixed-effects model was used to examine LTV in relation to changes in executive function, adjusted for age, sex, education, and MLT. Higher LTV was associated with greater decline in performance on Trails B (β = 4.322, p < 0.001) and delta TMT (β = 4.230, p < 0.001), independent of covariates. Findings remained largely unchanged after further adjustment for MLT. LTV was not associated with changes in other executive function measures (all p > 0.05). In high-functioning older adults, higher LTV in the 400-m walk predicts executive function decline involving cognitive flexibility and set shifting over a long period of time. High LTV may be an early indicator of executive function decline independent of MLT.
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Affiliation(s)
- Qu Tian
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, 21224, MD, USA.
- , 251 Bayview Blvd., Suite 100, Rm 04B316, Baltimore, MD, 21224, USA.
| | - Susan M Resnick
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, 21224, MD, USA
| | - Luigi Ferrucci
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, 21224, MD, USA
| | - Stephanie A Studenski
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, 21224, MD, USA
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Abstract
The recent interest in concussion in sport has resulted in significant media focus about chronic traumatic encephalopathy (CTE), although a direct causative link(s) between concussion and CTE is not established. Typically, sport-related CTE occurs in a retired athlete with or without a history of concussion(s) who presents with a constellation of cognitive, mood, and/or behavioral symptoms and who has postmortem findings of tau deposition within the brain. There are many confounding variables, however, that can account for brain tau deposition, including genetic mutations, drugs, normal aging, environmental factors, postmortem brain processing, and toxins. To understand the roles of such factors in neurodegenerative diseases that may occur in athletes, this article reviews some neurodegenerative diseases that may present with similar findings in nonathletes. The article also reviews pathological changes identified with normal aging, and reviews the pathological findings of CTE in light of all these factors. While many of these athletes have a history of exposure to head impacts as a part of contact sport, there is insufficient evidence to establish causation between sports concussion and CTE. It is likely that many of the cases with neuropathological findings represent the normal aging process, the effects of opiate abuse, or a variant of frontotemporal lobar degeneration. Whether particular genetic causes may place athletes at greater risk of neurodegenerative disease is yet to be determined.
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Affiliation(s)
- Gavin A Davis
- *Department of Neurosurgery, Cabrini Medical Centre, Malvern, Victoria, Australia; ‡Florey Institute of Neuroscience and Mental Health, Heidelberg, Victoria, Australia; §Department of Pathology, University of Maryland, Baltimore, Maryland
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Han L, Gill TM, Jones BL, Allore HG. Cognitive Aging Trajectories and Burdens of Disability, Hospitalization and Nursing Home Admission Among Community-living Older Persons. J Gerontol A Biol Sci Med Sci 2015; 71:766-71. [PMID: 26511011 DOI: 10.1093/gerona/glv159] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2015] [Accepted: 08/17/2015] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND The course of cognitive aging has demonstrated substantial heterogeneity. This study attempted to identify distinctive cognitive trajectories and examine their relationship with burdens of disability, hospitalization, and nursing home admission. METHODS Seven hundred and fifty-four community-living persons aged 70 years or older in the Yale Precipitating Events Project were assessed with the Mini-Mental State Examination every 18 months for up to 108 months. A group-based trajectory model was used to determine cognitive aging trajectories while adjusting for age, sex, and education. Cumulative burden of disabilities, hospitalizations, and nursing home admissions over 141 months associated with the cognitive trajectories were evaluated using a generalized estimating equation Poisson model. RESULTS Five distinct cognitive trajectories were identified, with about a third of participants starting with high baseline cognitive function and demonstrating No decline during the follow-up period. The remaining participants diverged with Minimal (prevalence 41%), Moderate (16%), Progressive (8%), and Rapid (3%) cognitive decline. Participants with No decline incurred the lowest incidence rates (per 1,000 person-months) of disability in activities of daily living (ADL; 75, 95% confidence intervals: 60-95) and instrumental ADL (492, 453-535), hospitalization (29, 26-33) and nursing home admission (18, 12-27), whereas participants on the Rapid trajectory experienced the greatest burden of ADL disability (612, 595-758) and those on the Progressive trajectory had the highest nursing home admission (363, 292-451). CONCLUSIONS Community-living older persons follow distinct cognitive aging trajectories and experience increasing burdens of disability, hospitalization, and nursing home placement as they age, with greater burdens for those on a declining cognitive trajectory.
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Affiliation(s)
- Ling Han
- Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.
| | - Thomas M Gill
- Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut. Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, Connecticut
| | - Bobby L Jones
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Heather G Allore
- Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut. Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut
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Iverson GL, Gardner AJ, McCrory P, Zafonte R, Castellani RJ. A critical review of chronic traumatic encephalopathy. Neurosci Biobehav Rev 2015; 56:276-93. [PMID: 26183075 DOI: 10.1016/j.neubiorev.2015.05.008] [Citation(s) in RCA: 67] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2014] [Revised: 04/14/2015] [Accepted: 05/08/2015] [Indexed: 12/14/2022]
Abstract
Chronic traumatic encephalopathy (CTE) has been described in the literature as a neurodegenerative disease with: (i) localized neuronal and glial accumulations of phosphorylated tau (p-tau) involving perivascular areas of the cerebral cortex, sulcal depths, and with a preference for neurons within superficial cortical laminae; (ii) multifocal axonal varicosities and axonal loss involving deep cortex and subcortical white matter; (iii) relative absence of beta-amyloid deposits; (iv) TDP-43 immunoreactive inclusions and neurites; and (v) broad and diverse clinical features. Some of the pathological findings reported in the literature may be encountered with age and other neurodegenerative diseases. However, the focality of the p-tau cortical findings in particular, and the regional distribution, are believed to be unique to CTE. The described clinical features in recent cases are very similar to how depression manifests in middle-aged men and with frontotemporal dementia as the disease progresses. It has not been established that the described tau pathology, especially in small amounts, can cause complex changes in behavior such as depression, substance abuse, suicidality, personality changes, or cognitive impairment. Future studies will help determine the extent to which the neuropathology is causally related to the diverse clinical features.
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Affiliation(s)
- Grant L Iverson
- Department of Physical Medicine and Rehabilitation, Harvard Medical School, Spaulding Rehabilitation Hospital, MassGeneral Hospital for Children Sports Concussion Program, & Red Sox Foundation and Massachusetts General Hospital Home Base Program, Boston, MA, USA.
| | - Andrew J Gardner
- Hunter New England Local Health District Sports Concussion Program; & Centre for Translational Neuroscience and Mental Health, School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
| | - Paul McCrory
- The Florey Institute of Neuroscience and Mental Health, Melbourne Brain Centre - Austin Campus, Heidelberg, Victoria, Australia
| | - Ross Zafonte
- Department of Physical Medicine and Rehabilitation, Harvard Medical School; Spaulding Rehabilitation Hospital; Brigham and Women's Hospital; & Red Sox Foundation and Massachusetts General Hospital Home Base Program, Boston, MA, USA
| | - Rudy J Castellani
- Division of Neuropathology, University of Maryland School of Medicine, USA
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Sojkova J, Goh J, Bilgel M, Landman B, Yang X, Zhou Y, An Y, Beason-Held LL, Kraut MA, Wong DF, Resnick SM. Voxelwise Relationships Between Distribution Volume Ratio and Cerebral Blood Flow: Implications for Analysis of β-Amyloid Images. J Nucl Med 2015; 56:1042-7. [PMID: 25977462 DOI: 10.2967/jnumed.114.151480] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2014] [Accepted: 04/15/2015] [Indexed: 11/16/2022] Open
Abstract
UNLABELLED Quantification of β-amyloid (Aβ) in vivo is often accomplished using the distribution volume ratio (DVR), based on a simplified reference tissue model. We investigated the local relationships between DVR and cerebral blood flow (CBF), as well as relative CBF (R1), in nondemented older adults. METHODS Fifty-five nondemented participants (mean age, 78.5 y) in the Baltimore Longitudinal Study of Aging underwent (15)O-H2O PET CBF and dynamic (11)C-PiB PET. (15)O-H2O PET images were normalized and smoothed using SPM. A simplified reference tissue model with linear regression and spatial constraints was used to generate parametric DVR images. The DVR images were regressed on CBF images on a voxel-by-voxel basis using robust biologic parametric mapping, adjusting for age and sex (false discovery rate, P = 0.05; spatial extent, 50 voxels). DVR images were also regressed on R1 images, a measure of the transport rate constant from vascular space to tissue. All analyses were performed on the entire sample, and on high and low tertiles of mean cortical DVR. RESULTS Voxel-based analyses showed that increased DVR is associated with increased CBF in the frontal, parietal, temporal, and occipital cortices. However, this association appears to spare regions that typically show early Aβ deposition. A more robust relationship between DVR and CBF was observed in the lower tertile of DVR, that is, negligible cortical Aβ load, compared with the upper tertile of cortical DVR and Aβ load. The spatial distributions of the DVR-CBF and DVR-R1 correlations showed similar patterns. No reliable negative voxelwise relationships between DVR and CBF or R1 were observed. CONCLUSION Robust associations between DVR and CBF at negligible Aβ levels, together with similar spatial distributions of DVR-CBF and DVR-R1 correlations, suggest that regional distribution of DVR reflects blood flow and tracer influx rather than pattern of Aβ deposition in those with minimal Aβ load. DVR-CBF associations in individuals with a higher DVR are more likely to reflect true associations between patterns of Aβ deposition and CBF or neural activity. These findings have important implications for analysis and interpretation of voxelwise correlations with external variables in individuals with varying amounts of Aβ load.
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Affiliation(s)
- Jitka Sojkova
- Laboratory of Behavioral Neuroscience, National Institute on Aging, NIH, Bethesda, Maryland
| | - Joshua Goh
- Laboratory of Behavioral Neuroscience, National Institute on Aging, NIH, Bethesda, Maryland National Taiwan University, Taipei, Taiwan
| | - Murat Bilgel
- Laboratory of Behavioral Neuroscience, National Institute on Aging, NIH, Bethesda, Maryland Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland
| | - Bennett Landman
- Department of Electrical Engineering, Vanderbilt University, Nashville, Tennessee
| | - Xue Yang
- Department of Electrical Engineering, Vanderbilt University, Nashville, Tennessee
| | - Yun Zhou
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University, Baltimore, Maryland
| | - Yang An
- Laboratory of Behavioral Neuroscience, National Institute on Aging, NIH, Bethesda, Maryland
| | - Lori L Beason-Held
- Laboratory of Behavioral Neuroscience, National Institute on Aging, NIH, Bethesda, Maryland
| | - Michael A Kraut
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University, Baltimore, Maryland
| | - Dean F Wong
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University, Baltimore, Maryland Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, Baltimore, Maryland Solomon Snyder Department of Neuroscience, Johns Hopkins University, Baltimore, Maryland; and Environmental Health Sciences, Johns Hopkins University, Baltimore, Maryland
| | - Susan M Resnick
- Laboratory of Behavioral Neuroscience, National Institute on Aging, NIH, Bethesda, Maryland
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Tian Q, Studenski SA, Resnick SM, Davatzikos C, Ferrucci L. Midlife and Late-Life Cardiorespiratory Fitness and Brain Volume Changes in Late Adulthood: Results From the Baltimore Longitudinal Study of Aging. J Gerontol A Biol Sci Med Sci 2015; 71:124-30. [PMID: 25896993 DOI: 10.1093/gerona/glv041] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2014] [Accepted: 03/12/2015] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Higher cardiorespiratory fitness (CRF) is cross-sectionally associated with more conserved brain volume in older age, but longitudinal studies are rare. This study examined whether higher midlife CRF was prospectively associated with slower atrophy, which in turn was associated with higher late-life CRF. METHODS Brain volume by magnetic resonance imaging was determined annually from 1994 to 2003 in 146 participants (M baseline age = 69.6 years). Peak oxygen uptake on a treadmill yielded estimated midlife CRF in 138 and late-life CRF in 73 participants. RESULTS Higher midlife CRF was associated with greater middle temporal gyrus, perirhinal cortex, and temporal and parietal white matter, but was not associated with atrophy progression. Slower atrophy in middle frontal and angular gyri was associated with higher late-life CRF, independent of CRF at baseline magnetic resonance imaging. CONCLUSIONS Higher midlife CRF may play a role in preserving middle and medial temporal volumes in late adulthood. Slower atrophy in middle frontal and angular gyri may predict late-life CRF.
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Affiliation(s)
- Qu Tian
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, Maryland.
| | - Stephanie A Studenski
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, Maryland
| | - Susan M Resnick
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, Maryland
| | | | - Luigi Ferrucci
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, Maryland
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Resnick SM, Bilgel M, Moghekar A, An Y, Cai Q, Wang MC, Thambisetty M, Prince JL, Zhou Y, Soldan A, Wong DF, O'Brien RJ, Ferrucci L, Albert MS. Changes in Aβ biomarkers and associations with APOE genotype in 2 longitudinal cohorts. Neurobiol Aging 2015; 36:2333-9. [PMID: 26004017 DOI: 10.1016/j.neurobiolaging.2015.04.001] [Citation(s) in RCA: 56] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2014] [Revised: 03/06/2015] [Accepted: 04/01/2015] [Indexed: 11/28/2022]
Abstract
Apolipoprotein E (APOE) genotype influences onset age of Alzheimer's disease but effects on disease progression are less clear. We investigated amyloid-β (Aβ) levels and change in relationship to APOE genotype, using 2 different measures of Aβ in 2 different longitudinal cohorts. Aβ accumulation was measured using positron emission tomography (PET) imaging and (11)C-Pittsburgh compound-B (PiB) in 113 Baltimore Longitudinal Study of Aging participants (mean age 77.3 years; 107 normal, 6 cognitively impaired) and cerebral spinal fluid (CSF) Aβ1-42 assays in 207 BIOCARD study participants (mean age 62 years; 195 normal, 12 cognitively impaired). Participants in both cohorts had up to 7 serial assessments (mean 2.3-2.4). PET-PiB retention increased and CSF Aβ1-42 declined longitudinally. APOE ε4 was significantly associated with higher PET-PiB retention and lower CSF Aβ1-42, independent of age and sex, but APOE genotype did not significantly affect Aβ change over time. APOE ε4 carriers may be further along in the disease process, consistent with earlier brain Aβ deposition and providing a biological basis for APOE genotype effects on onset age of Alzheimer's disease.
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Affiliation(s)
- Susan M Resnick
- Laboratory of Behavioral Neuroscience, Intramural Research Program, National Institute on Aging, Baltimore, MD, USA.
| | - Murat Bilgel
- Laboratory of Behavioral Neuroscience, Intramural Research Program, National Institute on Aging, Baltimore, MD, USA; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Abhay Moghekar
- Department of Neurology, Johns Hopkins Medical Institutions, Baltimore, MD, USA
| | - Yang An
- Laboratory of Behavioral Neuroscience, Intramural Research Program, National Institute on Aging, Baltimore, MD, USA
| | - Qing Cai
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Mei-Cheng Wang
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Madhav Thambisetty
- Laboratory of Behavioral Neuroscience, Intramural Research Program, National Institute on Aging, Baltimore, MD, USA
| | - Jerry L Prince
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA; Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA; Department of Radiology, Johns Hopkins Medical Institutions, Baltimore, MD, USA
| | - Yun Zhou
- Department of Radiology, Johns Hopkins Medical Institutions, Baltimore, MD, USA
| | - Anja Soldan
- Department of Neurology, Johns Hopkins Medical Institutions, Baltimore, MD, USA
| | - Dean F Wong
- Department of Radiology, Johns Hopkins Medical Institutions, Baltimore, MD, USA
| | - Richard J O'Brien
- Department of Neurology, Johns Hopkins Medical Institutions, Baltimore, MD, USA
| | - Luigi Ferrucci
- Translational Gerontology Branch, Intramural Research Program, National Institute on Aging, Baltimore, MD, USA
| | - Marilyn S Albert
- Department of Neurology, Johns Hopkins Medical Institutions, Baltimore, MD, USA
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Mattsson N, Insel PS, Aisen PS, Jagust W, Mackin S, Weiner M. Brain structure and function as mediators of the effects of amyloid on memory. Neurology 2015; 84:1136-44. [PMID: 25681451 DOI: 10.1212/wnl.0000000000001375] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE The objective of this study was to test whether effects of β-amyloid (Aβ) pathology on episodic memory were mediated by metabolism and gray matter volume in the early stages of Alzheimer disease. METHODS This was a prospective cohort study. We measured baseline Aβ (using florbetapir-PET), brain function (using fluorodeoxyglucose-PET), and brain structure (using MRI). A mediation analysis was performed to test whether statistical effects of Aβ positivity on cross-sectional and longitudinal episodic memory were mediated by hypometabolism or regional gray matter volume in cognitively healthy controls (CN, n = 280) and mild cognitive impairment (MCI, n = 463). RESULTS Lower memory scores were associated with Aβ positivity (CN, mildly; MCI, strongly), smaller gray matter volumes (CN, few regions, including hippocampus; MCI, widespread), and hypometabolism. Smaller volumes and hypometabolism mediated effects of Aβ in MCI but not in CN. The strongest individual regions mediated up to approximately 25%. A combination of brain structure and function mediated up to approximately 40%. In several regions, gray matter atrophy and hypometabolism predicted episodic memory without being associated (at p < 0.05) with Aβ positivity. CONCLUSIONS Changes in brain structure and function appear to be, in part, downstream events from Aβ pathology, ultimately resulting in episodic memory deficits. However, Aβ pathology is also strongly related to memory deficits through mechanisms that are not quantified by these imaging measurements, and episodic memory decline is partly caused by Alzheimer disease-like brain changes independently of Aβ pathology.
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Affiliation(s)
- Niklas Mattsson
- From the Department of Veterans Affairs Medical Center (N.M., P.S.I., S.M., M.W.), Center for Imaging of Neurodegenerative Diseases, San Francisco, CA; Clinical Neurochemistry Laboratory (N.M.), Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Radiology and Biomedical Imaging (N.M., P.S.I., M.W.), University of California, San Francisco; Alzheimer's Disease Cooperative Study (P.S.A.), Department of Neurosciences, University of California, San Diego, La Jolla; Helen Wills Neuroscience Institute and School of Public Health (W.J.), University of California, Berkeley; and Department of Psychiatry (S.M.), University of California, San Francisco.
| | - Philip S Insel
- From the Department of Veterans Affairs Medical Center (N.M., P.S.I., S.M., M.W.), Center for Imaging of Neurodegenerative Diseases, San Francisco, CA; Clinical Neurochemistry Laboratory (N.M.), Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Radiology and Biomedical Imaging (N.M., P.S.I., M.W.), University of California, San Francisco; Alzheimer's Disease Cooperative Study (P.S.A.), Department of Neurosciences, University of California, San Diego, La Jolla; Helen Wills Neuroscience Institute and School of Public Health (W.J.), University of California, Berkeley; and Department of Psychiatry (S.M.), University of California, San Francisco
| | - Paul S Aisen
- From the Department of Veterans Affairs Medical Center (N.M., P.S.I., S.M., M.W.), Center for Imaging of Neurodegenerative Diseases, San Francisco, CA; Clinical Neurochemistry Laboratory (N.M.), Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Radiology and Biomedical Imaging (N.M., P.S.I., M.W.), University of California, San Francisco; Alzheimer's Disease Cooperative Study (P.S.A.), Department of Neurosciences, University of California, San Diego, La Jolla; Helen Wills Neuroscience Institute and School of Public Health (W.J.), University of California, Berkeley; and Department of Psychiatry (S.M.), University of California, San Francisco
| | - William Jagust
- From the Department of Veterans Affairs Medical Center (N.M., P.S.I., S.M., M.W.), Center for Imaging of Neurodegenerative Diseases, San Francisco, CA; Clinical Neurochemistry Laboratory (N.M.), Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Radiology and Biomedical Imaging (N.M., P.S.I., M.W.), University of California, San Francisco; Alzheimer's Disease Cooperative Study (P.S.A.), Department of Neurosciences, University of California, San Diego, La Jolla; Helen Wills Neuroscience Institute and School of Public Health (W.J.), University of California, Berkeley; and Department of Psychiatry (S.M.), University of California, San Francisco
| | - Scott Mackin
- From the Department of Veterans Affairs Medical Center (N.M., P.S.I., S.M., M.W.), Center for Imaging of Neurodegenerative Diseases, San Francisco, CA; Clinical Neurochemistry Laboratory (N.M.), Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Radiology and Biomedical Imaging (N.M., P.S.I., M.W.), University of California, San Francisco; Alzheimer's Disease Cooperative Study (P.S.A.), Department of Neurosciences, University of California, San Diego, La Jolla; Helen Wills Neuroscience Institute and School of Public Health (W.J.), University of California, Berkeley; and Department of Psychiatry (S.M.), University of California, San Francisco
| | - Michael Weiner
- From the Department of Veterans Affairs Medical Center (N.M., P.S.I., S.M., M.W.), Center for Imaging of Neurodegenerative Diseases, San Francisco, CA; Clinical Neurochemistry Laboratory (N.M.), Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Radiology and Biomedical Imaging (N.M., P.S.I., M.W.), University of California, San Francisco; Alzheimer's Disease Cooperative Study (P.S.A.), Department of Neurosciences, University of California, San Diego, La Jolla; Helen Wills Neuroscience Institute and School of Public Health (W.J.), University of California, Berkeley; and Department of Psychiatry (S.M.), University of California, San Francisco
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Adamczuk K, De Weer AS, Nelissen N, Dupont P, Sunaert S, Bettens K, Sleegers K, Van Broeckhoven C, Van Laere K, Vandenberghe R. Functional Changes in the Language Network in Response to Increased Amyloid β Deposition in Cognitively Intact Older Adults. Cereb Cortex 2014; 26:358-73. [PMID: 25452579 DOI: 10.1093/cercor/bhu286] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Word finding symptoms are frequent early in the course of Alzheimer's disease and relate principally to functional changes in left posterior temporal cortex. In cognitively intact older adults, we examined whether amyloid load affects the network for language and associative-semantic processing. Fifty-six community-recruited subjects (52-74 years), stratified for apolipoprotein E and brain-derived neurotrophic factor genotype, received a neurolinguistic assessment, (18)F-flutemetamol positron emission tomography, and a functional MRI of the associative-semantic system. The primary measure of amyloid load was the cerebral-to-cerebellar gray matter standardized uptake value ratio in a composite cortical volume of interest (SUVR(comp)). The primary outcome analysis consisted of a whole-brain voxelwise linear regression between SUVR(comp) and fMRI response during associative-semantic versus visuoperceptual processing. Higher activity in one region, the posterior left middle temporal gyrus, correlated positively with increased amyloid load. The correlation remained significant when only the word conditions were contrasted but not for pictures. According to a stepwise linear regression analysis, offline naming reaction times correlated positively with SUVR(comp). A binary classification into amyloid-positive and amyloid-negative cases confirmed our findings. The left posterior temporal activity increase may reflect higher demands for semantic control in the presence of a higher amyloid burden.
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Affiliation(s)
- Katarzyna Adamczuk
- Laboratory for Cognitive Neurology, KU Leuven, Belgium Alzheimer Research Centre KU Leuven, Leuven Institute of Neurodegenerative Disorders, KU Leuven, Belgium
| | | | - Natalie Nelissen
- Laboratory for Cognitive Neurology, KU Leuven, Belgium Department of Experimental Psychology, Oxford University, UK
| | - Patrick Dupont
- Laboratory for Cognitive Neurology, KU Leuven, Belgium Alzheimer Research Centre KU Leuven, Leuven Institute of Neurodegenerative Disorders, KU Leuven, Belgium
| | - Stefan Sunaert
- Alzheimer Research Centre KU Leuven, Leuven Institute of Neurodegenerative Disorders, KU Leuven, Belgium Radiology Department, UZ Leuven, Belgium
| | - Karolien Bettens
- Neurodegenerative Brain Diseases Group, VIB Department of Molecular Genetics, Antwerp, Belgium Laboratory of Neurogenetics, Institute Born-Bunge, University of Antwerp, Belgium
| | - Kristel Sleegers
- Neurodegenerative Brain Diseases Group, VIB Department of Molecular Genetics, Antwerp, Belgium Laboratory of Neurogenetics, Institute Born-Bunge, University of Antwerp, Belgium
| | - Christine Van Broeckhoven
- Neurodegenerative Brain Diseases Group, VIB Department of Molecular Genetics, Antwerp, Belgium Laboratory of Neurogenetics, Institute Born-Bunge, University of Antwerp, Belgium
| | - Koen Van Laere
- Alzheimer Research Centre KU Leuven, Leuven Institute of Neurodegenerative Disorders, KU Leuven, Belgium Nuclear Medicine and Molecular Imaging Department, KU Leuven and UZ Leuven, Belgium
| | - Rik Vandenberghe
- Laboratory for Cognitive Neurology, KU Leuven, Belgium Alzheimer Research Centre KU Leuven, Leuven Institute of Neurodegenerative Disorders, KU Leuven, Belgium Neurology Department, UZ Leuven, Belgium
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Buelow MT, Tremont G, Frakey LL, Grace J, Ott BR. Utility of the cognitive difficulties scale and association with objective test performance. Am J Alzheimers Dis Other Demen 2014; 29:755-61. [PMID: 24928819 PMCID: PMC10852840 DOI: 10.1177/1533317514539032] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Subjective memory complaints (SMCs) are commonly noted in memory disorder clinic patients. The present study sought to examine the presence of SMCs on the Cognitive Difficulties Scale (CDS) in older adults and to examine the relationship between CDS scores and current cognitive ability. Participants were 50 adults diagnosed with possible/probable Alzheimer's disease (AD), 100 with amnestic mild cognitive impairment (MCI) and 84 cognitively healthy controls (HCs). Participants completed a neuropsychological evaluation and the self- and informant-reported CDS. Results indicated that greater self-reported SMCs were noted in the group with MCI ; however, self-reported CDS scores were associated with cognition in HCs only. Informant-reported CDS scores were predictive of cognitive ability in the diagnosis of MCI but not AD, indicating the importance of obtaining caregiver report in the evaluation of memory disorders. As AD is a neurodegenerative disorder, SMCs lose value in determining degree of cognitive impairment as disease stage increases.
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Affiliation(s)
- Melissa T Buelow
- Department of Psychology, The Ohio State University Newark, Newark, OH, USA
| | - Geoffrey Tremont
- Neuropsychology Program, Rhode Island Hospital, RI, USA Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Laura L Frakey
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI, USA Department of Medical Rehabilitation, Memorial Hospital of Rhode Island, Pawtucket, RI, USA
| | - Janet Grace
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI, USA Department of Medical Rehabilitation, Memorial Hospital of Rhode Island, Pawtucket, RI, USA
| | - Brian R Ott
- Rhode Island Hospital Alzheimer's Disease & Memory Disorders Center, Providence, RI, USA Department of Neurology, Warren Alpert Medical School of Brown University, Providence, RI, USA
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Gomar JJ, Conejero-Goldberg C, Davies P, Goldberg TE. Extension and refinement of the predictive value of different classes of markers in ADNI: four-year follow-up data. Alzheimers Dement 2014; 10:704-12. [PMID: 24613706 PMCID: PMC4416649 DOI: 10.1016/j.jalz.2013.11.009] [Citation(s) in RCA: 53] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2013] [Revised: 10/17/2013] [Accepted: 11/19/2013] [Indexed: 11/28/2022]
Abstract
BACKGROUND This study examined the predictive value of different classes of markers in the progression from mild cognitive impairment (MCI) to Alzheimer's disease (AD) over an extended 4-year follow-up in the Alzheimer's Disease Neuroimaging Initiative (ADNI) database. METHODS MCI patients were assessed for clinical, cognitive, magnetic resonance imaging (MRI), positron emission tomography-fluorodeoxyglucose (PET-FDG), and cerebrospinal fluid (CSF) markers at baseline and were followed on a yearly basis for 4 years to ascertain progression to AD. Logistic regression models were fitted in clusters, including demographics, APOE genotype, cognitive markers, and biomarkers (morphometric, PET-FDG, CSF, amyloid-β, and tau). RESULTS The predictive model at 4 years revealed that two cognitive measures, an episodic memory measure and a Clock Drawing screening test, were the best predictors of conversion (area under the curve = 0.78). CONCLUSIONS This model of prediction is consistent with the previous model at 2 years, thus highlighting the importance of cognitive measures in progression from MCI to AD. Cognitive markers were more robust predictors than biomarkers.
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Affiliation(s)
- Jesus J Gomar
- The Litwin-Zucker Research Center, The Feinstein Institute for Medical Research, Manhasset, NY, USA; Fundacion para la Investigacion y Docencia Maria Angustias Gimenez, Hermanas Hospitalarias, Sant Boi de Llobregat, Spain
| | | | - Peter Davies
- The Litwin-Zucker Research Center, The Feinstein Institute for Medical Research, Manhasset, NY, USA; Hofstra North Shore Long Island Jewish School of Medicine, Hempstead, NY, USA
| | - Terry E Goldberg
- The Litwin-Zucker Research Center, The Feinstein Institute for Medical Research, Manhasset, NY, USA; Hofstra North Shore Long Island Jewish School of Medicine, Hempstead, NY, USA.
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