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Salmon E, Collette F, Bastin C. Cerebral glucose metabolism in Alzheimer's disease. Cortex 2024; 179:50-61. [PMID: 39141935 DOI: 10.1016/j.cortex.2024.07.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2024] [Revised: 07/05/2024] [Accepted: 07/25/2024] [Indexed: 08/16/2024]
Abstract
18F-fluoro-deoxy-glucose positron emission tomography (FDG-PET) is a useful paraclinical exam for the diagnosis of Alzheimer's disease (AD). In this narrative review, we report seminal studies in clinically probable AD that have shown the importance of posterior brain metabolic decrease and the paradoxical variability of the hippocampal metabolism. The FDG-PET pattern was a sensitive indicator of AD in pathologically confirmed cases and it was used for differential diagnosis of dementia conditions. In prodromal AD, the AD FDG-PET pattern was observed in converters and predicted conversion. Automated data analysis techniques provided variable accuracy according to the reported indices and machine learning methods showed variable reliability of results. FDG-PET could confirm AD clinical heterogeneity and image data driven analyses identified hypometabolic subtypes with variable involvement of the hippocampus, reminiscent if the paradoxical FDG uptake. In studies dedicated to clinical and metabolic correlations, episodic memory was related to metabolism in the default mode network (and Papez's circuit) in prodromal and mild AD stages, and specific cognitive processes were associated to precisely distributed brain metabolism. Cerebral metabolic correlates of anosognosia could also be related to current neuropsychological models. AD FDG-PET pattern was reported in preclinical AD stages and related to cognition or to conversion to mild cognitive impairment (MCI). Using other biomarkers, the AD FDG-PET pattern was confirmed in AD participants with positive PET-amyloid. Intriguing observations reported increased metabolism related to brain amyloid and/or tau deposition. Preserved glucose metabolism sometimes appear as a compensation, but it was frequently detrimental and the nature of such a preservation of glucose metabolism remains an open question. Limbic metabolic involvement was frequently related to non-AD biomarkers profile and clinical stability, and it was reported in non-AD pathologies, such as the limbic predominant age-related encephalopathy (LATE). FDG-PET abnormalities observed in the absence of classical AD proteinopathies can be useful to search for pathological mechanisms and differential diagnosis of AD.
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Affiliation(s)
- Eric Salmon
- GIGA Research, CRC Human Imaging, University of Liege, Liege, Belgium.
| | - Fabienne Collette
- GIGA Research, CRC Human Imaging, University of Liege, Liege, Belgium.
| | - Christine Bastin
- GIGA Research, CRC Human Imaging, University of Liege, Liege, Belgium.
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Amidfar M, Askari G, Kim YK. Association of metabolic dysfunction with cognitive decline and Alzheimer's disease: A review of metabolomic evidence. Prog Neuropsychopharmacol Biol Psychiatry 2024; 128:110848. [PMID: 37634657 DOI: 10.1016/j.pnpbp.2023.110848] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Revised: 07/28/2023] [Accepted: 08/24/2023] [Indexed: 08/29/2023]
Abstract
The discovery of new biomarkers that can distinguish Alzheimer's disease (AD) from mild cognitive impairment (MCI) in the early stages will help to provide new diagnostic and therapeutic strategies and slow the transition from MCI to AD. Patients with AD may present with a concomitant metabolic disorder, such as diabetes, obesity, and dyslipidemia, as a risk factor for AD that may be involved in the onset of both AD pathology and cognitive impairment. Therefore, metabolite profiling, or metabolomics, can be very useful in diagnosing AD, developing new therapeutic targets, and evaluating both the course of treatment and the clinical course of the disease. In addition, studying the relationship between nutritional behavior and AD requires investigation of the role of conditions such as obesity, hypertension, dyslipidemia, and elevated glucose level. Based on this literature review, nutritional recommendations, including weight loss by reducing calorie and cholesterol intake and omega-3 fatty acid supplementation can prevent cognitive decline and dementia in the elderly. The underlying metabolic causes of the pathology and cognitive decline caused by AD and MCI are not well understood. In this review article, metabolomics biomarkers for diagnosis of AD and MCI and metabolic risk factors for cognitive decline in AD were evaluated.
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Affiliation(s)
- Meysam Amidfar
- Food Security Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Gholamreza Askari
- Food Security Research Center, Isfahan University of Medical Sciences, Isfahan, Iran; Department of Community Nutrition, School of Nutrition and Food Science, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Yong-Ku Kim
- Department of Psychiatry, College of Medicine, Korea University, Seoul, South Korea.
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3
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Hammers DB, Kostadinova RV, Spencer RJ, Ikanga JN, Unverzagt FW, Risacher SL, Apostolova LG. Sensitivity of memory subtests and learning slopes from the ADAS-Cog to distinguish along the continuum of the NIA-AA Research Framework for Alzheimer's Disease. NEUROPSYCHOLOGY, DEVELOPMENT, AND COGNITION. SECTION B, AGING, NEUROPSYCHOLOGY AND COGNITION 2023; 30:866-884. [PMID: 36074015 PMCID: PMC9992455 DOI: 10.1080/13825585.2022.2120957] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 08/30/2022] [Indexed: 10/14/2022]
Abstract
Despite extensive use of the Alzheimer's Disease (AD) Assessment Scale - Cognitive Subscale (ADAS-Cog) in AD research, exploration of memory subtests or process scores from the measure has been limited. The current study sought to establish validity for the ADAS-Cog Word Recall Immediate and Delayed Memory subtests and learning slope scores by showing that they are sensitive to AD biomarker status. Word Recall subtest and learning slope scores were calculated for 441 participants from the Alzheimer's Disease Neuroimaging Initiative (aged 55 to 90). All participants were categorized using the NIA-AA Research Framework - based on PET-imaging of β-amyloid (A) and tau (T) deposition - as Normal AD Biomarkers (A-T-), Alzheimer's Pathologic Change (A + T-), or Alzheimer's disease (A + T+). Memory subtest and learning slope performances were compared between biomarker status groups, and with regard to how well they discriminated samples with (A + T+) and without (A-T-) biomarkers. Lower Word Recall memory subtest scores - and scores for a particular learning slope calculation, the Learning Ratio - were observed for the AD (A + T+) group than the other biomarker groups. Memory subtest and Learning Ratio scores further displayed fair to good receiver operator characteristics when differentiating those with and without AD biomarkers. When comparing across learning slopes, the Learning Ratio metric consistently outperformed others. ADAS-Cog memory subtests and the Learning Ratio score are sensitive to AD biomarker status along the continuum of the NIA-AA Research Framework, and the results offer criterion validity for use of these subtests and process scores as unique markers of memory capacity.
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Affiliation(s)
- Dustin B. Hammers
- Indiana University School of Medicine, Department of Neurology, Indianapolis, IN, USA
| | | | - Robert J. Spencer
- Mental Health Service, VA Ann Arbor Healthcare System, Ann Arbor MI, USA
- Michigan Medicine, Department of Psychiatry, Neuropsychology Section, Ann Arbor MI, USA
| | - Jean N. Ikanga
- Emory University, School of Medicine, Department of Rehabilitation Medicine, GA, USA
- University of Kinshasa, Department of Psychiatry, Democratic Republic of Congo (DRC)
| | | | - Shannon L. Risacher
- Indiana University School of Medicine, Department of Radiology, Indianapolis, IN, USA
| | - Liana G. Apostolova
- Indiana University School of Medicine, Department of Neurology, Indianapolis, IN, USA
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4
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Ali M, Archer DB, Gorijala P, Western D, Timsina J, Fernández MV, Wang TC, Satizabal CL, Yang Q, Beiser AS, Wang R, Chen G, Gordon B, Benzinger TLS, Xiong C, Morris JC, Bateman RJ, Karch CM, McDade E, Goate A, Seshadri S, Mayeux RP, Sperling RA, Buckley RF, Johnson KA, Won HH, Jung SH, Kim HR, Seo SW, Kim HJ, Mormino E, Laws SM, Fan KH, Kamboh MI, Vemuri P, Ramanan VK, Yang HS, Wenzel A, Rajula HSR, Mishra A, Dufouil C, Debette S, Lopez OL, DeKosky ST, Tao F, Nagle MW, Hohman TJ, Sung YJ, Dumitrescu L, Cruchaga C. Large multi-ethnic genetic analyses of amyloid imaging identify new genes for Alzheimer disease. Acta Neuropathol Commun 2023; 11:68. [PMID: 37101235 PMCID: PMC10134547 DOI: 10.1186/s40478-023-01563-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Accepted: 04/05/2023] [Indexed: 04/28/2023] Open
Abstract
Amyloid PET imaging has been crucial for detecting the accumulation of amyloid beta (Aβ) deposits in the brain and to study Alzheimer's disease (AD). We performed a genome-wide association study on the largest collection of amyloid imaging data (N = 13,409) to date, across multiple ethnicities from multicenter cohorts to identify variants associated with brain amyloidosis and AD risk. We found a strong APOE signal on chr19q.13.32 (top SNP: APOE ɛ4; rs429358; β = 0.35, SE = 0.01, P = 6.2 × 10-311, MAF = 0.19), driven by APOE ɛ4, and five additional novel associations (APOE ε2/rs7412; rs73052335/rs5117, rs1081105, rs438811, and rs4420638) independent of APOE ɛ4. APOE ɛ4 and ε2 showed race specific effect with stronger association in Non-Hispanic Whites, with the lowest association in Asians. Besides the APOE, we also identified three other genome-wide loci: ABCA7 (rs12151021/chr19p.13.3; β = 0.07, SE = 0.01, P = 9.2 × 10-09, MAF = 0.32), CR1 (rs6656401/chr1q.32.2; β = 0.1, SE = 0.02, P = 2.4 × 10-10, MAF = 0.18) and FERMT2 locus (rs117834516/chr14q.22.1; β = 0.16, SE = 0.03, P = 1.1 × 10-09, MAF = 0.06) that all colocalized with AD risk. Sex-stratified analyses identified two novel female-specific signals on chr5p.14.1 (rs529007143, β = 0.79, SE = 0.14, P = 1.4 × 10-08, MAF = 0.006, sex-interaction P = 9.8 × 10-07) and chr11p.15.2 (rs192346166, β = 0.94, SE = 0.17, P = 3.7 × 10-08, MAF = 0.004, sex-interaction P = 1.3 × 10-03). We also demonstrated that the overall genetic architecture of brain amyloidosis overlaps with that of AD, Frontotemporal Dementia, stroke, and brain structure-related complex human traits. Overall, our results have important implications when estimating the individual risk to a population level, as race and sex will needed to be taken into account. This may affect participant selection for future clinical trials and therapies.
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Affiliation(s)
- Muhammad Ali
- Department of Psychiatry, Washington University, St. Louis, MO, 63110, USA
- NeuroGenomics and Informatics, Washington University, St. Louis, MO, 63110, USA
| | - Derek B Archer
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Priyanka Gorijala
- Department of Psychiatry, Washington University, St. Louis, MO, 63110, USA
- NeuroGenomics and Informatics, Washington University, St. Louis, MO, 63110, USA
| | - Daniel Western
- Department of Psychiatry, Washington University, St. Louis, MO, 63110, USA
- NeuroGenomics and Informatics, Washington University, St. Louis, MO, 63110, USA
| | - Jigyasha Timsina
- Department of Psychiatry, Washington University, St. Louis, MO, 63110, USA
- NeuroGenomics and Informatics, Washington University, St. Louis, MO, 63110, USA
| | - Maria V Fernández
- Department of Psychiatry, Washington University, St. Louis, MO, 63110, USA
- NeuroGenomics and Informatics, Washington University, St. Louis, MO, 63110, USA
| | - Ting-Chen Wang
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Claudia L Satizabal
- Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, UT Health, San Antonio, TX, 78229, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
- Framingham Heart Study, Framingham, MA, USA
| | - Qiong Yang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Alexa S Beiser
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
- Framingham Heart Study, Framingham, MA, USA
| | | | - Gengsheng Chen
- Knight Alzheimer's Disease Research Center, Washington University, St Louis, MO, USA
- Mallinckrodt Institute of Radiology, Washington University, St Louis, MO, USA
| | - Brian Gordon
- Knight Alzheimer's Disease Research Center, Washington University, St Louis, MO, USA
- Mallinckrodt Institute of Radiology, Washington University, St Louis, MO, USA
| | - Tammie L S Benzinger
- Knight Alzheimer's Disease Research Center, Washington University, St Louis, MO, USA
- Mallinckrodt Institute of Radiology, Washington University, St Louis, MO, USA
| | - Chengjie Xiong
- Knight Alzheimer's Disease Research Center, Washington University, St Louis, MO, USA
| | - John C Morris
- Knight Alzheimer's Disease Research Center, Washington University, St Louis, MO, USA
- Department of Neurology, Washington University, St Louis, MO, USA
| | - Randall J Bateman
- Knight Alzheimer's Disease Research Center, Washington University, St Louis, MO, USA
- Department of Neurology, Washington University, St Louis, MO, USA
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Celeste M Karch
- Department of Psychiatry, Washington University, St. Louis, MO, 63110, USA
| | - Eric McDade
- Department of Neurology, Washington University, St Louis, MO, USA
| | - Alison Goate
- Department of Neuroscience, Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sudha Seshadri
- Framingham Heart Study, Framingham, MA, USA
- Boston University School of Medicine, Boston, MA, USA
| | - Richard P Mayeux
- The Department of Neurology, Columbia University, New York, NY, USA
| | - Reisa A Sperling
- Department of Neurology, Harvard Medical School, Boston, MA, USA
- Brigham and Women's Hospital and Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Rachel F Buckley
- Brigham and Women's Hospital and Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA
| | - Keith A Johnson
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Hong-Hee Won
- Department of Digital Health, Samsung Medical Center, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea
| | - Sang-Hyuk Jung
- Department of Digital Health, Samsung Medical Center, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea
| | - Hang-Rai Kim
- Department of Neurology, Dongguk University Ilsan Hospital, Dongguk University College of Medicine, Goyang, Republic of Korea
| | - Sang Won Seo
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Hee Jin Kim
- Department of Digital Health, Samsung Medical Center, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Elizabeth Mormino
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Simon M Laws
- Centre for Precision Health, Edith Cowan University, 270 Joondalup Dr, Joondalup, WA, 6027, Australia
| | - Kang-Hsien Fan
- Department of Human Genetics, University of Pittsburgh, Pittsburgh, PA, USA
| | - M Ilyas Kamboh
- Department of Human Genetics, University of Pittsburgh, Pittsburgh, PA, USA
| | - Prashanthi Vemuri
- Department of Radiology, Mayo Clinic-Minnesota, Rochester, MN, 55905, USA
| | - Vijay K Ramanan
- Department of Neurology, Mayo Clinic-Minnesota, Rochester, MN, 55905, USA
| | - Hyun-Sik Yang
- Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Broad Institute of Harvard and MIT, Cambridge, USA
| | - Allen Wenzel
- Wisconsin Alzheimer's Institute, Madison, WI, USA
| | - Hema Sekhar Reddy Rajula
- UMR 1219, University of Bordeaux, INSERM, Bordeaux Population Health Research Centre, Team ELEANOR, 33000, Bordeaux, France
| | - Aniket Mishra
- UMR 1219, University of Bordeaux, INSERM, Bordeaux Population Health Research Centre, Team ELEANOR, 33000, Bordeaux, France
| | - Carole Dufouil
- UMR 1219, University of Bordeaux, INSERM, Bordeaux Population Health Research Centre, Team ELEANOR, 33000, Bordeaux, France
| | - Stephanie Debette
- UMR 1219, University of Bordeaux, INSERM, Bordeaux Population Health Research Centre, Team ELEANOR, 33000, Bordeaux, France
- Department of Neurology, Boston University School of Medicine, Boston, MA, 2115, USA
- Department of Neurology, CHU de Bordeaux, 33000, Bordeaux, France
| | - Oscar L Lopez
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Steven T DeKosky
- Department of Neurology and McKnight Brain Institute, University of Florida, Gainesville, FL, USA
| | - Feifei Tao
- Neurogenomics, Genetics-Guided Dementia Discovery, Eisai, Inc, Cambridge, MA, USA
| | - Michael W Nagle
- Neurogenomics, Genetics-Guided Dementia Discovery, Eisai, Inc, Cambridge, MA, USA
| | - Timothy J Hohman
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Yun Ju Sung
- Department of Psychiatry, Washington University, St. Louis, MO, 63110, USA
- NeuroGenomics and Informatics, Washington University, St. Louis, MO, 63110, USA
| | - Logan Dumitrescu
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Carlos Cruchaga
- Department of Psychiatry, Washington University, St. Louis, MO, 63110, USA.
- NeuroGenomics and Informatics, Washington University, St. Louis, MO, 63110, USA.
- Knight Alzheimer's Disease Research Center, Washington University, St Louis, MO, USA.
- Hope Center for Neurologic Diseases, Washington University, St. Louis, MO, 63110, USA.
- Department of Genetics, Washington University School of Medicine, St Louis, MO, 63110, USA.
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Li R, Miao X, Han B, Li J. Cortical thickness of the left parahippocampal cortex links central hearing and cognitive performance in aging. Ann N Y Acad Sci 2023; 1522:117-125. [PMID: 36799333 DOI: 10.1111/nyas.14971] [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: 02/18/2023]
Abstract
Hearing impairment is considered a leading modifiable risk factor of cognitive decline and dementia. While most evidence has been established on clinical assessment of peripheral hearing loss, understanding of how central hearing in real-world conditions is associated with cognitive aging is limited. This study analyzed the data of 473 unrelated healthy adults aged 36-100 years old from the Lifespan Human Connectome Project in Aging. Central hearing was evaluated using the Words-in-Noise decibel threshold. Cognitive functions were evaluated by the performance on cognitive tests, and cortical thickness was estimated from magnetic resonance imaging (MRI) data. Here, we show that a higher hearing threshold was associated with a lower performance on immediate and delayed episodic memory retrieval, switching aspect of executive function, working memory, reading decoding, and vocabulary comprehension. Cortical thickness in the left parahippocampal cortex (lPHC) was negatively associated with the hearing threshold and acted as a significant partial mediator in the association of central hearing with immediate recall, switching, reading decoding, and vocabulary comprehension. These findings suggest that cortical thickness in the lPHC, an early target of dementia, partially links central hearing and performance in multiple cognitive domains in aging.
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Affiliation(s)
- Rui Li
- CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Xiaoyan Miao
- Department of Psychology and Special Education Research, National Institute of Education Sciences, Beijing, China
| | - Buxin Han
- CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Juan Li
- CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
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McKenzie C, Bucks RS, Weinborn M, Bourgeat P, Salvado O, Gavett BE. Residual reserve index modifies the effect of amyloid pathology on fluorodeoxyglucose metabolism: Implications for efficiency and capacity in cognitive reserve. Front Aging Neurosci 2022; 14:943823. [PMID: 36034126 PMCID: PMC9413056 DOI: 10.3389/fnagi.2022.943823] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2022] [Accepted: 07/25/2022] [Indexed: 11/13/2022] Open
Abstract
Background The residual approach to measuring cognitive reserve (using the residual reserve index) aims to capture cognitive resilience conferred by cognitive reserve, but may be confounded by factors representing brain resilience. We sought to distinguish between brain and cognitive resilience by comparing interactions between the residual reserve index and amyloid, tau, and neurodegeneration [“AT(N)”] biomarkers when predicting executive function. We hypothesized that the residual reserve index would moderate at least one path from an AT(N) biomarker to executive function (consistent with cognitive resilience), as opposed to moderating a path between two AT(N) biomarkers (suggestive of brain resilience). Methods Participants (N = 332) were from the Alzheimer’s Disease Neuroimaging Initiative. The residual reserve index represented the difference between observed and predicted memory performance (a positive residual reserve index suggests higher cognitive reserve). AT(N) biomarkers were: CSF β-amyloid1–42/β-amyloid1–40 (A), plasma phosphorylated tau-181 (T), and FDG metabolism in AD-specific regions ([N]). AT(N) biomarkers (measured at consecutive time points) were entered in a sequential mediation model testing the indirect effects from baseline amyloid to executive function intercept (third annual follow-up) and slope (baseline to seventh follow-up), via tau and/or FDG metabolism. The baseline residual reserve index was entered as a moderator of paths between AT(N) biomarkers (e.g., amyloid-tau), and paths between AT(N) biomarkers and executive function. Results The residual reserve index interacted with amyloid pathology when predicting FDG metabolism: the indirect effect of amyloid → FDG metabolism → executive function intercept and slope varied as a function of the residual reserve index. With lower amyloid pathology, executive function performance was comparable at different levels of the residual reserve index, but a higher residual reserve index was associated with lower FDG metabolism. With higher amyloid pathology, a higher residual reserve index predicted better executive function via higher FDG metabolism. Conclusion The effect of the residual reserve index on executive function performance via FDG metabolism was consistent with cognitive resilience. This suggests the residual reserve index captures variation in cognitive reserve; specifically, neural efficiency, and neural capacity to upregulate metabolism to enhance cognitive resilience in the face of greater amyloid pathology. Implications for future research include the potential bidirectionality between neural efficiency and amyloid accumulation.
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Affiliation(s)
- Cathryn McKenzie
- School of Psychological Science, The University of Western Australia, Perth, WA, Australia
- *Correspondence: Cathryn McKenzie,
| | - Romola S. Bucks
- School of Psychological Science, The University of Western Australia, Perth, WA, Australia
| | - Michael Weinborn
- School of Psychological Science, The University of Western Australia, Perth, WA, Australia
| | - Pierrick Bourgeat
- Australian e-Health Research Centre, Commonwealth Scientific and Industrial Research Organisation (CSIRO) Health and Biosecurity, Brisbane, QLD, Australia
| | - Olivier Salvado
- Data61, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Sydney, NSW, Australia
| | - Brandon E. Gavett
- School of Psychological Science, The University of Western Australia, Perth, WA, Australia
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7
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Amyloid and tau PET-positive cognitively unimpaired individuals are at high risk for future cognitive decline. Nat Med 2022; 28:2381-2387. [PMID: 36357681 PMCID: PMC9671808 DOI: 10.1038/s41591-022-02049-x] [Citation(s) in RCA: 123] [Impact Index Per Article: 61.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Accepted: 09/21/2022] [Indexed: 11/12/2022]
Abstract
A major unanswered question in the dementia field is whether cognitively unimpaired individuals who harbor both Alzheimer's disease neuropathological hallmarks (that is, amyloid-β plaques and tau neurofibrillary tangles) can preserve their cognition over time or are destined to decline. In this large multicenter amyloid and tau positron emission tomography (PET) study (n = 1,325), we examined the risk for future progression to mild cognitive impairment and the rate of cognitive decline over time among cognitively unimpaired individuals who were amyloid PET-positive (A+) and tau PET-positive (T+) in the medial temporal lobe (A+TMTL+) and/or in the temporal neocortex (A+TNEO-T+) and compared them with A+T- and A-T- groups. Cox proportional-hazards models showed a substantially increased risk for progression to mild cognitive impairment in the A+TNEO-T+ (hazard ratio (HR) = 19.2, 95% confidence interval (CI) = 10.9-33.7), A+TMTL+ (HR = 14.6, 95% CI = 8.1-26.4) and A+T- (HR = 2.4, 95% CI = 1.4-4.3) groups versus the A-T- (reference) group. Both A+TMTL+ (HR = 6.0, 95% CI = 3.4-10.6) and A+TNEO-T+ (HR = 7.9, 95% CI = 4.7-13.5) groups also showed faster clinical progression to mild cognitive impairment than the A+T- group. Linear mixed-effect models indicated that the A+TNEO-T+ (β = -0.056 ± 0.005, T = -11.55, P < 0.001), A+TMTL+ (β = -0.024 ± 0.005, T = -4.72, P < 0.001) and A+T- (β = -0.008 ± 0.002, T = -3.46, P < 0.001) groups showed significantly faster longitudinal global cognitive decline compared to the A-T- (reference) group (all P < 0.001). Both A+TNEO-T+ (P < 0.001) and A+TMTL+ (P = 0.002) groups also progressed faster than the A+T- group. In summary, evidence of advanced Alzheimer's disease pathological changes provided by a combination of abnormal amyloid and tau PET examinations is strongly associated with short-term (that is, 3-5 years) cognitive decline in cognitively unimpaired individuals and is therefore of high clinical relevance.
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Souto JJ, Silva GM, Almeida NL, Shoshina II, Santos NA, Fernandes TP. Age-related episodic memory decline and the role of amyloid-β: a systematic review. Dement Neuropsychol 2021; 15:299-313. [PMID: 34630918 PMCID: PMC8485646 DOI: 10.1590/1980-57642021dn15-030002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Accepted: 02/22/2021] [Indexed: 12/25/2022] Open
Abstract
Aging has been associated with the functional decline of episodic memory (EM). Unanswered questions are whether the decline of EM occurs even during healthy aging and whether this decline is related to amyloid-β (Aβ) deposition in the hippocampus. Objective The main purpose of this study was to investigate data on the relationship between the age-related EM decline and Aβ deposition. Methods We searched the Cochrane, MEDLINE, Scopus, and Web of Science databases and reference lists of retrieved articles that were published in the past 10 years. The initial literature search identified 517 studies. After screening the title, abstract, key words, and reference lists, 56 studies met the inclusion criteria. Results The overall results revealed that increases in Aβ are related to lower hippocampal volume and worse performance on EM tests. The results of this systematic review revealed that high levels of Aβ may be related to EM deficits and the progression to Alzheimer's disease. Conclusions We discussed the strengths and pitfalls of various tests and techniques used for investigating EM and Aβ deposition, methodological issues, and potential directions for future research.
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Affiliation(s)
- Jandirlly Julianna Souto
- Department of Psychology, Universidade Federal da Paraíba - João Pessoa, PB, Brazil.,Perception, Neuroscience and Behaviour Laboratory, Universidade Federal da Paraíba - João Pessoa, Brazil
| | - Gabriella Medeiros Silva
- Department of Psychology, Universidade Federal da Paraíba - João Pessoa, PB, Brazil.,Perception, Neuroscience and Behaviour Laboratory, Universidade Federal da Paraíba - João Pessoa, Brazil
| | - Natalia Leandro Almeida
- Department of Psychology, Universidade Federal da Paraíba - João Pessoa, PB, Brazil.,Perception, Neuroscience and Behaviour Laboratory, Universidade Federal da Paraíba - João Pessoa, Brazil
| | | | - Natanael Antonio Santos
- Department of Psychology, Universidade Federal da Paraíba - João Pessoa, PB, Brazil.,Perception, Neuroscience and Behaviour Laboratory, Universidade Federal da Paraíba - João Pessoa, Brazil
| | - Thiago Paiva Fernandes
- Department of Psychology, Universidade Federal da Paraíba - João Pessoa, PB, Brazil.,Perception, Neuroscience and Behaviour Laboratory, Universidade Federal da Paraíba - João Pessoa, Brazil
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9
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Bocanegra Y, Fox-Fuller JT, Baena A, Guzmán-Vélez E, Vila-Castelar C, Martínez J, Torrico-Teave H, Lopera F, Quiroz YT. Association Between Visual Memory and In Vivo Amyloid and Tau Pathology in Preclinical Autosomal Dominant Alzheimer's Disease. J Int Neuropsychol Soc 2021; 27:47-55. [PMID: 32762790 PMCID: PMC8101259 DOI: 10.1017/s1355617720000673] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
OBJECTIVE Visual memory (ViM) declines early in Alzheimer's disease (AD). However, it is unclear whether ViM impairment is evident in the preclinical stage and relates to markers of AD pathology. We examined the relationship between ViM performance and in vivo markers of brain pathology in individuals with autosomal dominant AD (ADAD). METHODS Forty-five cognitively unimpaired individuals from a Colombian kindred with the Presenilin 1 (PSEN1) E280A ADAD mutation (19 carriers and 26 noncarriers) completed the Rey-Osterrieth Complex Figure immediate recall test, a measure of ViM. Cortical amyloid burden and regional tau deposition in the entorhinal cortex (EC) and inferior temporal cortex (IT) were measured using 11C-Pittsburgh compound B positron emission tomography (PET) and 11F-flortaucipir PET, respectively. RESULTS Cognitively unimpaired carriers and noncarriers did not differ on ViM performance. Compared to noncarriers, carriers had higher levels of cortical amyloid and regional tau in both the EC and IT. In cognitively unimpaired carriers, greater cortical amyloid burden, higher levels of regional tau, and greater age were associated with worse ViM performance. Only a moderate correlation between regional tau and ViM performance remained after adjusting for verbal memory scores. None of these correlations were observed in noncarriers. CONCLUSIONS Results suggest that AD pathology and greater age are associated with worse ViM performance in ADAD before the onset of clinical symptoms. Further investigation with larger samples and longitudinal follow-up is needed to examine the utility of ViM measures for identifying individuals at high risk of developing dementia later in life.
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Affiliation(s)
- Yamile Bocanegra
- Grupo de Neurociencias de Antioquia, Universidad de Antioquia, Medellín, Colombia
| | - Joshua T. Fox-Fuller
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Boston University, Boston, MA, USA
| | - Ana Baena
- Grupo de Neurociencias de Antioquia, Universidad de Antioquia, Medellín, Colombia
| | - Edmarie Guzmán-Vélez
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Clara Vila-Castelar
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Jairo Martínez
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Heirangi Torrico-Teave
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Francisco Lopera
- Grupo de Neurociencias de Antioquia, Universidad de Antioquia, Medellín, Colombia
| | - Yakeel T. Quiroz
- Grupo de Neurociencias de Antioquia, Universidad de Antioquia, Medellín, Colombia
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
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10
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Singleton EH, Pijnenburg YAL, Sudre CH, Groot C, Kochova E, Barkhof F, La Joie R, Rosen HJ, Seeley WW, Miller B, Cardoso MJ, Papma J, Scheltens P, Rabinovici GD, Ossenkoppele R. Investigating the clinico-anatomical dissociation in the behavioral variant of Alzheimer disease. Alzheimers Res Ther 2020; 12:148. [PMID: 33189136 PMCID: PMC7666520 DOI: 10.1186/s13195-020-00717-z] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Accepted: 10/26/2020] [Indexed: 12/30/2022]
Abstract
BACKGROUND We previously found temporoparietal-predominant atrophy patterns in the behavioral variant of Alzheimer's disease (bvAD), with relative sparing of frontal regions. Here, we aimed to understand the clinico-anatomical dissociation in bvAD based on alternative neuroimaging markers. METHODS We retrospectively included 150 participants, including 29 bvAD, 28 "typical" amnestic-predominant AD (tAD), 28 behavioral variant of frontotemporal dementia (bvFTD), and 65 cognitively normal participants. Patients with bvAD were compared with other diagnostic groups on glucose metabolism and metabolic connectivity measured by [18F]FDG-PET, and on subcortical gray matter and white matter hyperintensity (WMH) volumes measured by MRI. A receiver-operating-characteristic-analysis was performed to determine the neuroimaging measures with highest diagnostic accuracy. RESULTS bvAD and tAD showed predominant temporoparietal hypometabolism compared to controls, and did not differ in direct contrasts. However, overlaying statistical maps from contrasts between patients and controls revealed broader frontoinsular hypometabolism in bvAD than tAD, partially overlapping with bvFTD. bvAD showed greater anterior default mode network (DMN) involvement than tAD, mimicking bvFTD, and reduced connectivity of the posterior cingulate cortex with prefrontal regions. Analyses of WMH and subcortical volume showed closer resemblance of bvAD to tAD than to bvFTD, and larger amygdalar volumes in bvAD than tAD respectively. The top-3 discriminators for bvAD vs. bvFTD were FDG posterior-DMN-ratios (bvAD bvFTD, area under the curve [AUC] range 0.85-0.91, all p < 0.001). The top-3 for bvAD vs. tAD were amygdalar volume (bvAD>tAD), MRI anterior-DMN-ratios (bvADCONCLUSIONS Subtle frontoinsular hypometabolism and anterior DMN involvement may underlie the prominent behavioral phenotype in bvAD.
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Affiliation(s)
- Ellen H. Singleton
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Yolande A. L. Pijnenburg
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Carole H. Sudre
- School of Biomedical Engineering and Imaging Sciences, King’s College London, London, UK
| | - Colin Groot
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Elena Kochova
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
- Center for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, UK
| | - Renaud La Joie
- Department of Neurology, Memory and Aging Center, University of California San Francisco, San Francisco, USA
| | - Howard J. Rosen
- Department of Neurology, Memory and Aging Center, University of California San Francisco, San Francisco, USA
| | - William W. Seeley
- Department of Neurology, Memory and Aging Center, University of California San Francisco, San Francisco, USA
| | - Bruce Miller
- Department of Neurology, Memory and Aging Center, University of California San Francisco, San Francisco, USA
| | - M. Jorge Cardoso
- School of Biomedical Engineering and Imaging Sciences, King’s College London, London, UK
- Translational Imaging Group, CMIC, Department of Medical Physics and Biomedical Engineering, University College London, London, UK
| | - Janne Papma
- Department of Neurology, Erasmus University Medical Center, Rotterdam, the Netherlands
- Department of Radiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Gil D. Rabinovici
- Department of Neurology, Memory and Aging Center, University of California San Francisco, San Francisco, USA
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, USA
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA USA
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, USA
| | - Rik Ossenkoppele
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
- Clinical Memory Research Unit, Lund University, Lund, Sweden
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11
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Hendrix RD, Ou Y, Davis JE, Odle AK, Groves TR, Allen AR, Childs GV, Barger SW. Alzheimer amyloid-β- peptide disrupts membrane localization of glucose transporter 1 in astrocytes: implications for glucose levels in brain and blood. Neurobiol Aging 2020; 97:73-88. [PMID: 33161213 PMCID: PMC7736209 DOI: 10.1016/j.neurobiolaging.2020.10.001] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Revised: 08/25/2020] [Accepted: 10/02/2020] [Indexed: 12/12/2022]
Abstract
Alzheimer’s disease (AD) is associated with disturbances in blood glucose regulation, and type-2 diabetes elevates the risk for dementia. A role for amyloid-β peptide (Aβ) in linking these age-related conditions has been proposed, tested primarily in transgenic mouse lines that overexpress mutated amyloid precursor protein (APP). Because APP has its own impacts on glucose regulation, we examined the BRI-Aβ42 line (“Aβ42-tg”), which produces extracellular Aβ1–42 in the CNS without elevation of APP. We also looked for interactions with diet-induced obesity (DIO) resulting from a high-fat, high-sucrose (“western”) diet. Aβ42-tg mice were impaired in both spatial memory and glucose tolerance. Although DIO induced insulin resistance, Aβ1–42 accumulation did not, and the impacts of DIO and Aβ on glucose tolerance were merely additive. Aβ42-tg mice exhibited no significant differences from wild-type in insulin production, body weight, lipidemia, appetite, physical activity, respiratory quotient, an-/orexigenic factors, or inflammatory factors. These negative findings suggested that the phenotype in these mice arose from perturbation of glucose excursion in an insulin-independent tissue. To wit, cerebral cortex of Aβ42-tg mice had reduced glucose utilization, similar to human patients with AD. This was associated with insufficient trafficking of glucose transporter 1 to the plasma membrane in parenchymal brain cells, a finding also documented in human AD tissue. Together, the lower cerebral metabolic rate of glucose and diminished function of parenchymal glucose transporter 1 indicate that aberrant regulation of blood glucose in AD likely reflects a central phenomenon, resulting from the effects of Aβ on cerebral parenchyma, rather than a generalized disruption of hypothalamic or peripheral endocrinology. The involvement of a specific glucose transporter in this deficit provides a new target for the design of AD therapies.
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Affiliation(s)
- Rachel D Hendrix
- Department of Neurobiology & Developmental Sciences, Little Rock, AR, USA
| | - Yang Ou
- Department of Geriatrics, Little Rock, AR, USA
| | - Jakeira E Davis
- Graduate Program in Interdisciplinary Biomedical Sciences, Little Rock, AR, USA
| | - Angela K Odle
- Department of Neurobiology & Developmental Sciences, Little Rock, AR, USA
| | - Thomas R Groves
- Department of Neurobiology & Developmental Sciences, Little Rock, AR, USA
| | - Antiño R Allen
- Department of Neurobiology & Developmental Sciences, Little Rock, AR, USA; Department of Pharmaceutical Sciences, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Gwen V Childs
- Department of Neurobiology & Developmental Sciences, Little Rock, AR, USA
| | - Steven W Barger
- Department of Neurobiology & Developmental Sciences, Little Rock, AR, USA; Department of Geriatrics, Little Rock, AR, USA; Geriatric Research, Education & Clinical Center, Central Arkansas Veterans Healthcare System, Little Rock, AR, USA.
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12
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Hahn A, Strandberg TO, Stomrud E, Nilsson M, van Westen D, Palmqvist S, Ossenkoppele R, Hansson O. Association Between Earliest Amyloid Uptake and Functional Connectivity in Cognitively Unimpaired Elderly. Cereb Cortex 2020; 29:2173-2182. [PMID: 30877785 PMCID: PMC6458901 DOI: 10.1093/cercor/bhz020] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2018] [Revised: 01/25/2019] [Indexed: 12/19/2022] Open
Abstract
Alterations in cognitive performance have been noted in nondemented subjects with elevated accumulation of amyloid-β (Aβ) fibrils. However, it is not yet understood whether brain function is already influenced by Aβ deposition during the very earliest stages of the disease. We therefore investigated associations between [18F]Flutemetamol PET, resting-state functional connectivity, gray and white matter structure and cognitive performance in 133 cognitively normal elderly that exhibited normal global Aβ PET levels. [18F]Flutemetamol uptake in regions known to accumulate Aβ fibrils early in preclinical AD (i.e., mainly certain parts of the default-mode network) was positively associated with dynamic but not static functional connectivity (r = 0.77). Dynamic functional connectivity was further related to better cognitive performance (r = 0.21–0.72). No significant associations were found for Aβ uptake with gray matter volume or white matter diffusivity. The findings demonstrate that the earliest accumulation of Aβ fibrils is associated with increased functional connectivity, which occurs before any structural alterations. The enhanced functional connectivity may reflect a compensatory mechanism to maintain high cognitive performance in the presence of increasing amyloid accumulation during the earliest phases of AD.
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Affiliation(s)
- Andreas Hahn
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria
| | - Tor O Strandberg
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Sweden
| | - Erik Stomrud
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Sweden
| | - Markus Nilsson
- Lund University Bioimaging Center, Lund University, Lund, Sweden
| | - Danielle van Westen
- Department of Clinical Sciences Lund, Diagnostic Radiology, Lund University, Sweden.,Imaging and Function, Skåne University Health Care, Lund, Sweden
| | - Sebastian Palmqvist
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Sweden.,Department of Neurology, Skåne University Hospital, Sweden
| | - Rik Ossenkoppele
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Sweden.,Department of Neurology and Alzheimer Center, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, HV, The Netherlands
| | - Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Sweden
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13
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Adams JN, Lockhart SN, Li L, Jagust WJ. Relationships Between Tau and Glucose Metabolism Reflect Alzheimer's Disease Pathology in Cognitively Normal Older Adults. Cereb Cortex 2019; 29:1997-2009. [PMID: 29912295 PMCID: PMC6458898 DOI: 10.1093/cercor/bhy078] [Citation(s) in RCA: 49] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2018] [Revised: 02/22/2018] [Accepted: 03/20/2018] [Indexed: 12/26/2022] Open
Abstract
Tau is associated with hypometabolism in patients with Alzheimer's disease. In normal aging, the association between tau and glucose metabolism is not fully characterized. We used [18F] AV-1451, [18F] Fluorodeoxyglucose, and [11C] Pittsburgh Compound-B (PiB) PET to measure associations between tau and glucose metabolism in cognitively normal older adults (N = 49). Participants were divided into amyloid-negative (PiB-, n = 28) and amyloid-positive (PiB+, n = 21) groups to determine effects of amyloid-β. We assessed both local and across-brain regional tau-glucose metabolism associations separately in PiB-/PiB+ groups using correlation matrices and sparse canonical correlations. Relationships between tau and glucose metabolism differed by amyloid status, and were primarily spatially distinct. In PiB- subjects, tau was associated with broad regions of increased glucose metabolism. In PiB+ subjects, medial temporal lobe tau was associated with widespread hypometabolism, while tau outside of the medial temporal lobe was associated with decreased and increased glucose metabolism. We further found that regions with earlier tau spread were associated with stronger negative correlations with glucose metabolism. Our findings indicate that in normal aging, low levels of tau are associated with a phase of increased metabolism, while high levels of tau in the presence of amyloid-β are associated with hypometabolism at downstream sites.
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Affiliation(s)
- Jenna N Adams
- Helen Wills Neuroscience Institute, University of California, Berkeley, CA, USA
| | - Samuel N Lockhart
- Helen Wills Neuroscience Institute, University of California, Berkeley, CA, USA
| | - Lexin Li
- Department of Biostatistics, University of California, Berkeley, CA, USA
| | - William J Jagust
- Helen Wills Neuroscience Institute, University of California, Berkeley, CA, USA
- Lawrence Berkeley National Laboratory, Berkeley, CA, USA
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14
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Parnetti L, Chipi E, Salvadori N, D'Andrea K, Eusebi P. Prevalence and risk of progression of preclinical Alzheimer's disease stages: a systematic review and meta-analysis. ALZHEIMERS RESEARCH & THERAPY 2019; 11:7. [PMID: 30646955 PMCID: PMC6334406 DOI: 10.1186/s13195-018-0459-7] [Citation(s) in RCA: 83] [Impact Index Per Article: 16.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/21/2018] [Accepted: 12/10/2018] [Indexed: 01/10/2023]
Abstract
Background Alzheimer’s disease (AD) pathology begins several years before the clinical onset. The long preclinical phase is composed of three stages according to the 2011National Institute on Aging and Alzheimer’s Association (NIA-AA) criteria, followed by mild cognitive impairment (MCI), a featured clinical entity defined as “due to AD”, or “prodromal AD”, when pathophysiological biomarkers (i.e., cerebrospinal fluid or positron emission tomography with amyloid tracer) are positive. In the clinical setting, there is a clear need to detect the earliest symptoms not yet fulfilling MCI criteria, in order to proceed to biomarker assessment for diagnostic definition, thus offering treatment with disease-modifying drugs to patients as early as possible. According to the available evidence, we thus estimated the prevalence and risk of progression at each preclinical AD stage, with special interest in Stage 3. Methods Cross-sectional and longitudinal studies published from April 2008 to May 2018 were obtained through MEDLINE-PubMed, screened, and systematically reviewed by four independent reviewers. Data from included studies were meta-analyzed using random-effects models. Heterogeneity was assessed by I2 statistics. Results Estimated overall prevalence of preclinical AD was 22% (95% CI = 18–26%). Rate of biomarker positivity overlapped in cognitively normal individuals and people with subjective cognitive decline. The risk of progression increases across preclinical AD stages, with individuals classified as NIA-AA Stage 3 showing the highest risk (73%, 95% CI = 40–92%) compared to those in Stage 2 (38%, 95% CI = 21–59%) and Stage 1 (20%, 95% CI = 10–34%). Conclusion Available data consistently show that risk of progression increases across the preclinical AD stages, where Stage 3 shows a risk of progression comparable to MCI due to AD. Accordingly, an effort should be made to also operationalize the diagnostic work-up in subjects with subtle cognitive deficits not yet fulfilling MCI criteria. The possibility to define, in the clinical routine, a patient as “pre-MCI due to AD” could offer these subjects the opportunity to use disease-modifying drugs at best. Electronic supplementary material The online version of this article (10.1186/s13195-018-0459-7) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Lucilla Parnetti
- Centre for Memory Disturbances, Lab of Clinical Neurochemistry, Section of Neurology, Department of Medicine, University of Perugia, Perugia, Italy.
| | - Elena Chipi
- Centre for Memory Disturbances, Lab of Clinical Neurochemistry, Section of Neurology, Department of Medicine, University of Perugia, Perugia, Italy
| | - Nicola Salvadori
- Centre for Memory Disturbances, Lab of Clinical Neurochemistry, Section of Neurology, Department of Medicine, University of Perugia, Perugia, Italy
| | - Katia D'Andrea
- Centre for Memory Disturbances, Lab of Clinical Neurochemistry, Section of Neurology, Department of Medicine, University of Perugia, Perugia, Italy
| | - Paolo Eusebi
- Centre for Memory Disturbances, Lab of Clinical Neurochemistry, Section of Neurology, Department of Medicine, University of Perugia, Perugia, Italy
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15
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Youn H, Lee ES, Lee S, Suh S, Jeong HG, Eo JS. Regional glucose metabolism due to the presence of cerebral amyloidopathy in older adults with depression and mild cognitive impairment. J Affect Disord 2018; 239:30-36. [PMID: 29991443 DOI: 10.1016/j.jad.2018.06.029] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2018] [Revised: 06/08/2018] [Accepted: 06/12/2018] [Indexed: 01/12/2023]
Abstract
BACKGROUND Depression is a risk factor for mild cognitive impairment (MCI) and for the conversion from MCI to Alzheimer's disease (AD). This study investigated regional cerebral glucose metabolism (rCMglc) in older adults with depression and MCI, either with or without amyloidopathy. METHODS We recruited 31 older adults diagnosed with depression and MCI, and 21 older adults with normal cognition (NC). All participants completed demographic questionnaires and were examined with a standardized neuropsychological battery, F-18 fluorodeoxyglucose positron emission tomography (PET), and F-18 florbetaben PET. We classified subjects with depression and MCI into amyloid-β-positive (CDAP; n = 16) and amyloid-β-negative (CDAN; n = 15) groups. Pairwise rCMglc analyses were conducted between all three groups (CDAP vs. NC, CDAN vs. NC, and CDAP vs. CDAN). RESULTS In comparison with the NC group, the CDAP group showed reduced rCMglc predominantly in temporoparietal regions, whereas the CDAN group showed lower rCMglc in regions of the frontal lobe, in addition to the temporoparietal regions. The CDAN group also showed lower rCMglc in right anterior cingulate and left inferior orbitofrontal regions, in a comparison between the CDAP and CDAN groups. LIMITATIONS The generalizability of the findings is limited because this study has a relatively small number of participants. In addition, this study used cross-sectional design rather than longitudinal design. CONCLUSIONS Our findings may provide a reference to assess the risk of future cognitive deterioration. Consequently, this study is expected to contribute to prevention and early identification of dementia associated with AD.
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Affiliation(s)
- HyunChul Youn
- Department of Psychiatry, Korea University Guro Hospital, Korea University College of Medicine, Republic of Korea
| | - Eun Seong Lee
- Department of Nuclear Medicine, Korea University College of Medicine, Guro Hospital, 148, Gurodong-ro, Guro-gu, Seoul, Republic of Korea; Department of Molecular Medicine and Biopharmaceutical Sciences, WCU Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Republic of Korea
| | - Suji Lee
- Department of Biomedical Sciences, Korea University, Seoul, Republic of Korea
| | - Sangil Suh
- Department of Radiology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Hyun-Ghang Jeong
- Department of Psychiatry, Korea University Guro Hospital, Korea University College of Medicine, Republic of Korea; Korea University Research Institute of Mental Health, Republic of Korea.
| | - Jae Seon Eo
- Department of Nuclear Medicine, Korea University College of Medicine, Guro Hospital, 148, Gurodong-ro, Guro-gu, Seoul, Republic of Korea.
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16
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Molecular imaging in dementia: Past, present, and future. Alzheimers Dement 2018; 14:1522-1552. [DOI: 10.1016/j.jalz.2018.06.2855] [Citation(s) in RCA: 50] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2017] [Revised: 06/02/2018] [Accepted: 06/03/2018] [Indexed: 12/14/2022]
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17
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Houck AL, Seddighi S, Driver JA. At the Crossroads Between Neurodegeneration and Cancer: A Review of Overlapping Biology and Its Implications. Curr Aging Sci 2018; 11:77-89. [PMID: 29552989 PMCID: PMC6519136 DOI: 10.2174/1874609811666180223154436] [Citation(s) in RCA: 49] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2017] [Revised: 02/08/2018] [Accepted: 02/13/2018] [Indexed: 12/25/2022]
Abstract
BACKGROUND A growing body of epidemiologic evidence suggests that neurodegenerative diseases occur less frequently in cancer survivors, and vice versa. While unusual, this inverse comorbidity is biologically plausible and could be explained, in part, by the evolutionary tradeoffs made by neurons and cycling cells to optimize the performance of their very different functions. The two cell types utilize the same proteins and pathways in different, and sometimes opposite, ways. However, cancer and neurodegeneration also share many pathophysiological features. OBJECTIVE In this review, we compare three overlapping aspects of neurodegeneration and cancer. METHOD First, we contrast the priorities and tradeoffs of dividing cells and neurons and how these manifest in disease. Second, we consider the hallmarks of biological aging that underlie both neurodegeneration and cancer. Finally, we utilize information from genetic databases to outline specific genes and pathways common to both diseases. CONCLUSION We argue that a detailed understanding of the biologic and genetic relationships between cancer and neurodegeneration can guide future efforts in designing disease-modifying therapeutic interventions. Lastly, strategies that target aging may prevent or delay both conditions.
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Affiliation(s)
- Alexander L. Houck
- College of Medicine, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Sahba Seddighi
- Clinical and Translational Neuroscience Unit, Laboratory of Behavioral Neuroscience, National Institute on Aging (NIA), National Institutes of Health (NIH), Baltimore, MD, USA
| | - Jane A. Driver
- Geriatric Research Education and Clinical Center, VA Boston Healthcare System and the Division of Aging, Department of Medicine, Brigham and Women ‘s Hospital, Harvard Medical School (J.A.D.), Boston, MA, USA
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18
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Verfaillie SCJ, Pichet Binette A, Vachon-Presseau E, Tabrizi S, Savard M, Bellec P, Ossenkoppele R, Scheltens P, van der Flier WM, Breitner JCS, Villeneuve S. Subjective Cognitive Decline Is Associated With Altered Default Mode Network Connectivity in Individuals With a Family History of Alzheimer's Disease. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2017; 3:463-472. [PMID: 29735156 DOI: 10.1016/j.bpsc.2017.11.012] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2017] [Revised: 11/20/2017] [Accepted: 11/22/2017] [Indexed: 01/03/2023]
Abstract
BACKGROUND Both subjective cognitive decline (SCD) and a family history of Alzheimer's disease (AD) portend risk of brain abnormalities and progression to dementia. Posterior default mode network (pDMN) connectivity is altered early in the course of AD. It is unclear whether SCD predicts similar outcomes in cognitively normal individuals with a family history of AD. METHODS We studied 124 asymptomatic individuals with a family history of AD (age 64 ± 5 years). Participants were categorized as having SCD if they reported that their memory was becoming worse (SCD+). We used extensive neuropsychological assessment to investigate five different cognitive domain performances at baseline (n = 124) and 1 year later (n = 59). We assessed interconnectivity among three a priori defined ROIs: pDMN, anterior ventral DMN, medial temporal memory system (MTMS), and the connectivity of each with the rest of brain. RESULTS Sixty-eight (55%) participants reported SCD. Baseline cognitive performance was comparable between groups (all false discovery rate-adjusted p values > .05). At follow-up, immediate and delayed memory improved across groups, but the improvement in immediate memory was reduced in SCD+ compared with SCD- (all false discovery rate-adjusted p values < .05). When compared with SCD-, SCD+ subjects showed increased pDMN-MTMS connectivity (false discovery rate-adjusted p < .05). Higher connectivity between the MTMS and the rest of the brain was associated with better baseline immediate memory, attention, and global cognition, whereas higher MTMS and pDMN-MTMS connectivity were associated with lower immediate memory over time (all false discovery rate-adjusted p values < .05). CONCLUSIONS SCD in cognitively normal individuals is associated with diminished immediate memory practice effects and a brain connectivity pattern that mirrors early AD-related connectivity failure.
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Affiliation(s)
- Sander C J Verfaillie
- Montreal Neurological Institute, Montreal, Quebec, Canada; Centre for the Studies on Prevention of Alzheimer's Disease, Douglas Mental Health University Institute Research Centre, Montreal, Quebec, Canada; Department of Psychiatry, McGill University, Montreal, Quebec, Canada; Alzheimer Center and Department of Neurology, Vrije Universiteit Medical Centre, Amsterdam, The Netherlands; Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Alexa Pichet Binette
- Centre for the Studies on Prevention of Alzheimer's Disease, Douglas Mental Health University Institute Research Centre, Montreal, Quebec, Canada; Integrated Program in Neuroscience, McGill University, Montreal, Quebec, Canada
| | | | - Shirin Tabrizi
- Centre for the Studies on Prevention of Alzheimer's Disease, Douglas Mental Health University Institute Research Centre, Montreal, Quebec, Canada
| | - Mélissa Savard
- Centre for the Studies on Prevention of Alzheimer's Disease, Douglas Mental Health University Institute Research Centre, Montreal, Quebec, Canada
| | - Pierre Bellec
- Centre de recherche de l'Institut universitaire de gériatrie de Montréal, Montreal, Quebec, Canada; Department of Computer Science and Operations Research, University of Montreal, Montreal, Quebec, Canada
| | - Rik Ossenkoppele
- Alzheimer Center and Department of Neurology, Vrije Universiteit Medical Centre, Amsterdam, The Netherlands; Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Philip Scheltens
- Alzheimer Center and Department of Neurology, Vrije Universiteit Medical Centre, Amsterdam, The Netherlands; Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Wiesje M van der Flier
- Alzheimer Center and Department of Neurology, Vrije Universiteit Medical Centre, Amsterdam, The Netherlands; Department of Epidemiology and Biostatistics, Vrije Universiteit Medical Centre, Amsterdam, The Netherlands; Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - John C S Breitner
- Montreal Neurological Institute, Montreal, Quebec, Canada; Centre for the Studies on Prevention of Alzheimer's Disease, Douglas Mental Health University Institute Research Centre, Montreal, Quebec, Canada; Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Sylvia Villeneuve
- Montreal Neurological Institute, Montreal, Quebec, Canada; Centre for the Studies on Prevention of Alzheimer's Disease, Douglas Mental Health University Institute Research Centre, Montreal, Quebec, Canada; Department of Psychiatry, McGill University, Montreal, Quebec, Canada.
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19
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Teipel S, Bakardjian H, Gonzalez-Escamilla G, Cavedo E, Weschke S, Dyrba M, Grothe MJ, Potier MC, Habert MO, Dubois B, Hampel H. No association of cortical amyloid load and EEG connectivity in older people with subjective memory complaints. NEUROIMAGE-CLINICAL 2017; 17:435-443. [PMID: 29159056 PMCID: PMC5684495 DOI: 10.1016/j.nicl.2017.10.031] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/07/2017] [Revised: 09/05/2017] [Accepted: 10/28/2017] [Indexed: 11/19/2022]
Abstract
Changes in functional connectivity of cortical networks have been observed in resting-state EEG studies in healthy aging as well as preclinical and clinical stages of AD. Little information, however, exists on associations between EEG connectivity and cortical amyloid load in people with subjective memory complaints. Here, we determined the association of global cortical amyloid load, as measured by florbetapir-PET, with functional connectivity based on the phase-lag index of resting state EEG data for alpha and beta frequency bands in 318 cognitively normal individuals aged 70–85 years with subjective memory complaints from the INSIGHT-preAD cohort. Within the entire group we did not find any significant associations between global amyloid load and phase-lag index in any frequency band. Assessing exclusively the subgroup of amyloid-positive participants, we found enhancement of functional connectivity with higher global amyloid load in the alpha and a reduction in the beta frequency bands. In the amyloid-negative participants, higher amyloid load was associated with lower connectivity in the low alpha band. However, these correlations failed to reach significance after controlling for multiple comparisons. The absence of a strong amyloid effect on functional connectivity may represent a selection effect, where individuals remain in the cognitively normal group only if amyloid accumulation does not impair cortical functional connectivity. A confirmatory study in subjective memory complainers (SMC) is presented. Amyloid is not associated with functional connectivity in SMC. Effects of amyloid on cognition are independent of functional connectivity in SMC. Functional connectivity changes may follow amyloid load with a temporal delay.
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Affiliation(s)
- Stefan Teipel
- German Center for Neurodegenerative Diseases (DZNE) - Rostock/Greifswald, Rostock, Germany; Department of Psychosomatic Medicine, University of Rostock, Rostock, Germany.
| | - Hovagim Bakardjian
- AP-HP, Groupe Hospitalier Pitié-Salpêtrière, Département de Neurologie, Institut de la Mémoire et de la Maladie d'Alzheimer, Groupe Hospitalier Pitié-Salpêtrière, Paris, France; IHU-A-ICM, Paris Institute of Translational Neurosciences, Hôpital de la Pitié-Salpêtrière, Paris, France
| | | | - Enrica Cavedo
- AXA Research Fund & UPMC Chair, Paris, France; Sorbonne Universités, UPMC Univ Paris 06, AP-HP, GRC n° 21, Alzheimer Precision Medicine (APM), Hôpital de la Pitié-Salpêtrière, Boulevard de l'hôpital, F-75013, Paris, France; Institut du Cerveau et de la Moelle Épinière (ICM), INSERM U 1127, CNRS UMR 7225, Boulevard de l'hôpital, F-75013, Paris, France; Institut de la Mémoire et de la Maladie d'Alzheimer (IM2A), Département de Neurologie, Hôpital de la Pitié-Salpêtrière, AP-HP, Boulevard de l'hôpital, F-75013, Paris, France; IRCCS Istituto Centro San Giovanni di Dio-Fatebenefratelli, Italy
| | - Sarah Weschke
- Department Aging of the Individual and the Society, AGIS, University of Rostock, Rostock, Germany
| | - Martin Dyrba
- German Center for Neurodegenerative Diseases (DZNE) - Rostock/Greifswald, Rostock, Germany
| | - Michel J Grothe
- German Center for Neurodegenerative Diseases (DZNE) - Rostock/Greifswald, Rostock, Germany
| | - Marie-Claude Potier
- ICM Institut du Cerveau et de la Moelle épinière, CNRS UMR7225, INSERM U1127, UPMC, Hôpital de la Pitié-Salpêtrière, 47 Bd de l'Hôpital, Paris, France
| | - Marie-Odile Habert
- Sorbonne Universités, UPMC Univ Paris 06, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, F-75013, Paris, France; Centre pour l'Acquisition et le Traitement des Images (www.cati-neuroimaging.com), France; AP-HP, Hôpital Pitié-Salpêtrière, Département de Médecine Nucléaire, F-75013, Paris, France
| | - Bruno Dubois
- Sorbonne Universités, UPMC Univ Paris 06, AP-HP, GRC n° 21, Alzheimer Precision Medicine (APM), Hôpital de la Pitié-Salpêtrière, Boulevard de l'hôpital, F-75013, Paris, France; Institut du Cerveau et de la Moelle Épinière (ICM), INSERM U 1127, CNRS UMR 7225, Boulevard de l'hôpital, F-75013, Paris, France; Institut de la Mémoire et de la Maladie d'Alzheimer (IM2A), Département de Neurologie, Hôpital de la Pitié-Salpêtrière, AP-HP, Boulevard de l'hôpital, F-75013, Paris, France
| | - Harald Hampel
- AXA Research Fund & UPMC Chair, Paris, France; Sorbonne Universités, UPMC Univ Paris 06, AP-HP, GRC n° 21, Alzheimer Precision Medicine (APM), Hôpital de la Pitié-Salpêtrière, Boulevard de l'hôpital, F-75013, Paris, France; Sorbonne Universités, UPMC Univ Paris 06, AP-HP, GRC n° 21, Alzheimer Precision Medicine (APM), Hôpital de la Pitié-Salpêtrière, Boulevard de l'hôpital, F-75013, Paris, France; Institut de la Mémoire et de la Maladie d'Alzheimer (IM2A), Département de Neurologie, Hôpital de la Pitié-Salpêtrière, AP-HP, Boulevard de l'hôpital, F-75013, Paris, France
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20
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Cerebral PET glucose hypometabolism in subjects with mild cognitive impairment and higher EEG high-alpha/low-alpha frequency power ratio. Neurobiol Aging 2017; 58:213-224. [PMID: 28755648 DOI: 10.1016/j.neurobiolaging.2017.06.009] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2016] [Revised: 05/29/2017] [Accepted: 06/18/2017] [Indexed: 01/18/2023]
Abstract
In Alzheimer's disease (AD) research, both 2-deoxy-2-(18F)fluoro-D-glucose (FDG) positron emission tomography (PET) and electroencephalography (EEG) are reliable investigational modalities. The aim of this study was to investigate the associations between EEG High-alpha/Low-alpha (H-alpha/L-alpha) power ratio and cortical glucose metabolism. A total of 23 subjects with mild cognitive impairment (MCI) underwent FDG-PET and EEG examinations. H-alpha/L-alpha power ratio was computed for each subject and 2 groups were obtained based on the increase of the power ratio. The subjects with higher H-alpha/L-alpha power ratio showed a decrease in glucose metabolism in the hub brain areas previously identified as typically affected by AD pathology. In subjects with higher H-alpha/L-alpha ratio and lower metabolism, a "double alpha peak" was identified in the EEG spectrum and a U-shaped correlation between glucose metabolism and increase of H-alpha/L-alpha power ratio has been found. Moreover, in this group, a conversion rate of 62.5% at 24 months was detected, significantly different from the chance percentage expected. The neurophysiological meaning of the interplay between alpha oscillations and glucose metabolism and the possible interest of the H-alpha/L-alpha power ratio as a clinical biomarker in AD have been discussed.
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21
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van Loenhoud AC, Wink AM, Groot C, Verfaillie SCJ, Twisk J, Barkhof F, van Berckel B, Scheltens P, van der Flier WM, Ossenkoppele R. A neuroimaging approach to capture cognitive reserve: Application to Alzheimer's disease. Hum Brain Mapp 2017. [PMID: 28631336 DOI: 10.1002/hbm.23695] [Citation(s) in RCA: 50] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
Cognitive reserve (CR) explains interindividual differences in the ability to maintain cognitive function in the presence of neuropathology. We developed a neuroimaging approach including a measure of brain atrophy and cognition to capture this construct. In a group of 511 Alzheimer's disease (AD) biomarker-positive subjects in different stages across the disease spectrum, we performed 3T magnetic resonance imaging and predicted gray matter (GM) volume in each voxel based on cognitive performance (i.e. a global cognitive composite score), adjusted for age, sex, disease stage, premorbid brain size (i.e. intracranial volume) and scanner type. We used standardized individual differences between predicted and observed GM volume (i.e. W-scores) as an operational measure of CR. To validate this method, we showed that education correlated with mean W-scores in whole-brain (r = -0.090, P < 0.05) and temporoparietal (r = -0.122, P < 0.01) masks, indicating that higher education was associated with more CR (i.e. greater atrophy than predicted from cognitive performance). In a voxel-wise analysis, this effect was most prominent in the right inferior and middle temporal and right superior lateral occipital cortex (P < 0.05, corrected for multiple comparisons). Furthermore, survival analyses among subjects in the pre-dementia stage revealed that the W-scores predicted conversion to more advanced disease stages (whole-brain: hazard ratio [HR] = 0.464, P < 0.05; temporoparietal: HR = 0.397, P < 0.001). Our neuroimaging approach captures CR with high anatomical detail and at an individual level. This standardized method is applicable to various brain diseases or CR proxies and can flexibly incorporate different neuroimaging modalities and cognitive parameters, making it a promising tool for scientific and clinical purposes. Hum Brain Mapp 38:4703-4715, 2017. © 2017 Wiley Periodicals, Inc.
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Affiliation(s)
- Anna C van Loenhoud
- Department of Neurology and Alzheimer Center, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Alle Meije Wink
- Department of Radiology and Nuclear Medicine, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Colin Groot
- Department of Neurology and Alzheimer Center, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands.,Department of Radiology and Nuclear Medicine, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Sander C J Verfaillie
- Department of Neurology and Alzheimer Center, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands.,Department of Radiology and Nuclear Medicine, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Jos Twisk
- Department of Epidemiology and Biostatistics, VU University Medical Center, Amsterdam, The Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands.,Institutes of Neurology and Healthcare Engineering, University College London, London, United Kingdom
| | - Bart van Berckel
- Department of Radiology and Nuclear Medicine, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Philip Scheltens
- Department of Neurology and Alzheimer Center, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Wiesje M van der Flier
- Department of Neurology and Alzheimer Center, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands.,Department of Epidemiology and Biostatistics, VU University Medical Center, Amsterdam, The Netherlands
| | - Rik Ossenkoppele
- Department of Neurology and Alzheimer Center, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands.,Department of Radiology and Nuclear Medicine, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
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22
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Teipel SJ, Cavedo E, Weschke S, Grothe MJ, Rojkova K, Fontaine G, Dauphinot L, Gonzalez-Escamilla G, Potier MC, Bertin H, Habert MO, Dubois B, Hampel H. Cortical amyloid accumulation is associated with alterations of structural integrity in older people with subjective memory complaints. Neurobiol Aging 2017. [PMID: 28646687 DOI: 10.1016/j.neurobiolaging.2017.05.016] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
We determined the effect of cortical amyloid load using 18F-florbetapir PET on cognitive performance and gray matter structural integrity derived from MRI in 318 cognitively normally performing older people with subjective memory impairment from the INSIGHT-preAD cohort using multivariate partial least squares regression. Amyloid uptake was associated with reduced gray matter structural integrity in hippocampus, entorhinal and cingulate cortex, middle temporal gyrus, prefrontal cortex, and lentiform nucleus (p < 0.01, permutation test). Higher amyloid load was associated with poorer global cognitive performance, delayed recall and attention (p < 0.05), independently of its effects on gray matter connectivity. These findings agree with the assumption of a two-stage effect of amyloid on cognition, (1) an early direct effect in the preclinical stages of Alzheimer's disease and (2) a delayed effect mediated by downstream effects of amyloid accumulation, such as gray matter connectivity decline.
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Affiliation(s)
- Stefan J Teipel
- German Center for Neurodegenerative Diseases (DZNE) - Rostock/Greifswald, Rostock, Germany; Department of Psychosomatic Medicine, University of Rostock, Rostock, Germany.
| | - Enrica Cavedo
- AXA Research Fund & UPMC Chair, Paris, France; Sorbonne Universités, Université Pierre et Marie Curie (UPMC) Paris 06, Inserm, CNRS, Institut du cerveau et de la moelle (ICM), Département de Neurologie, Institut de la Mémoire et de la Maladie d'Alzheimer (IM2A), Hôpital Pitié-Salpêtrière, Boulevard de l'hôpital, Paris, France; IRCCS Istituto Centro San Giovanni di Dio-Fatebenefratelli, Brescia, Italy
| | - Sarah Weschke
- German Center for Neurodegenerative Diseases (DZNE) - Rostock/Greifswald, Rostock, Germany; Department of Psychosomatic Medicine, University of Rostock, Rostock, Germany
| | - Michel J Grothe
- German Center for Neurodegenerative Diseases (DZNE) - Rostock/Greifswald, Rostock, Germany; Department of Psychosomatic Medicine, University of Rostock, Rostock, Germany
| | - Katrine Rojkova
- AXA Research Fund & UPMC Chair, Paris, France; Sorbonne Universités, Université Pierre et Marie Curie (UPMC) Paris 06, Inserm, CNRS, Institut du cerveau et de la moelle (ICM), Département de Neurologie, Institut de la Mémoire et de la Maladie d'Alzheimer (IM2A), Hôpital Pitié-Salpêtrière, Boulevard de l'hôpital, Paris, France
| | - Gaëlle Fontaine
- ICM Institut du Cerveau et de la Moelle épinière, CNRS UMR7225, INSERM U1127, UPMC, Hôpital de la Pitié-Salpêtrière, Paris, France
| | - Luce Dauphinot
- ICM Institut du Cerveau et de la Moelle épinière, CNRS UMR7225, INSERM U1127, UPMC, Hôpital de la Pitié-Salpêtrière, Paris, France
| | | | - Marie-Claude Potier
- ICM Institut du Cerveau et de la Moelle épinière, CNRS UMR7225, INSERM U1127, UPMC, Hôpital de la Pitié-Salpêtrière, Paris, France
| | - Hugo Bertin
- Sorbonne Universités, UPMC Univ Paris 06, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France; Centre pour l'Acquisition et le Traitement des Images, Paris, France
| | - Marie-Odile Habert
- Sorbonne Universités, UPMC Univ Paris 06, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France; Centre pour l'Acquisition et le Traitement des Images, Paris, France; AP-HP, Hôpital Pitié-Salpêtrière, Département de Médecine Nucléaire, Paris, France
| | - Bruno Dubois
- Sorbonne Universités, UPMC Univ Paris 06, Inserm, CNRS, Institut du cerveau et de la moelle (ICM) - Hôpital Pitié-Salpêtrière, Boulevard de l'hôpital, Paris, France
| | - Harald Hampel
- AXA Research Fund & UPMC Chair, Paris, France; Sorbonne Universités, Université Pierre et Marie Curie (UPMC) Paris 06, Inserm, CNRS, Institut du cerveau et de la moelle (ICM), Département de Neurologie, Institut de la Mémoire et de la Maladie d'Alzheimer (IM2A), Hôpital Pitié-Salpêtrière, Boulevard de l'hôpital, Paris, France
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23
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Duke Han S, Nguyen CP, Stricker NH, Nation DA. Detectable Neuropsychological Differences in Early Preclinical Alzheimer's Disease: A Meta-Analysis. Neuropsychol Rev 2017; 27:305-325. [PMID: 28497179 DOI: 10.1007/s11065-017-9345-5] [Citation(s) in RCA: 71] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2016] [Accepted: 04/23/2017] [Indexed: 12/20/2022]
Abstract
The development of methods for in vivo detection of cerebral beta amyloid retention and tau accumulation have been increasingly useful in characterizing preclinical Alzheimer's disease (AD). While the association between these biomarkers and eventual AD has been demonstrated among cognitively intact older adults, the link between biomarkers and neurocognitive ability remains unclear. We conducted a meta-analysis to test the hypothesis that cognitively intact older adults would show statistically discernable differences in neuropsychological performance by amyloid status (amyloid negative = A-, amyloid positive = A+). We secondarily hypothesized a third group characterized by either CSF tau pathology or neurodegeneration, in addition to amyloidosis (A+/N+ or Stage 2), would show lower neuropsychology scores than the amyloid positive group (A+/N- or Stage 1) when compared to the amyloid negative group. Pubmed, PsychINFO, and other sources were searched for relevant articles, yielding 775 total sources. After review for inclusion/exclusion criteria, duplicates, and risk of bias, 61 studies were utilized in the final meta-analysis. Results showed A+ was associated with poorer performance in the domains of global cognitive function, memory, language, visuospatial ability, processing speed, and attention/working memory/executive functions when compared to A-. A+/N+ showed lower performances on memory measures when compared to A+/N- in secondary analyses based on a smaller subset of studies. Results support the notion that neuropsychological measures are sensitive to different stages of preclinical AD among cognitively intact older adults. Further research is needed to determine what constitutes meaningful differences in neuropsychological performance among cognitively intact older adults.
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Affiliation(s)
- S Duke Han
- Department of Family Medicine, USC Keck School of Medicine, 1000 S. Fremont Avenue, Unit 22, HSA Building A-6, 4th Floor, Room 6437A, Alhambra, CA, 91803, USA. .,Department of Neurology, USC Keck School of Medicine, Los Angeles, CA, USA. .,Department of Psychology, USC Dornsife College, Los Angeles, CA, USA. .,USC School of Gerontology, Los Angeles, CA, USA.
| | - Caroline P Nguyen
- Department of Family Medicine, USC Keck School of Medicine, 1000 S. Fremont Avenue, Unit 22, HSA Building A-6, 4th Floor, Room 6437A, Alhambra, CA, 91803, USA
| | - Nikki H Stricker
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | - Daniel A Nation
- Department of Psychology, USC Dornsife College, Los Angeles, CA, USA
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24
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Hammers DB, Atkinson TJ, Dalley BCA, Suhrie KR, Horn KP, Rasmussen KM, Beardmore BE, Burrell LD, Duff K, Hoffman JM. Amyloid Positivity Using [18F]Flutemetamol-PET and Cognitive Deficits in Nondemented Community-Dwelling Older Adults. Am J Alzheimers Dis Other Demen 2017; 32:320-328. [PMID: 28403622 DOI: 10.1177/1533317517698795] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Little research exists examining the relationship between beta-amyloid neuritic plaque density via [18F]flutemetamol binding and cognition; consequently, the purpose of the current study was to compare cognitive performances among individuals having either increased amyloid deposition (Flute+) or minimal amyloid deposition (Flute-). Twenty-seven nondemented community-dwelling adults over the age of 65 underwent [18F]flutemetamol amyloid-positron emission tomography imaging, along with cognitive testing using the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) and select behavioral measures. Analysis of variance was used to identify the differences among the cognitive and behavioral measures between Flute+/Flute- groups. Flute+ participants performed significantly worse than Flute- participants on RBANS indexes of immediate memory, language, delayed memory, and total scale score, but no significant group differences in the endorsed level of depression or subjective report of cognitive difficulties were observed. Although these results are preliminary, [18F]flutemetamol accurately tracks cognition in a nondemented elderly sample, which may allow for better prediction of cognitive decline in late life.
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Affiliation(s)
- Dustin B Hammers
- 1 Department of Neurology, Center for Alzheimer's Care, Imaging and Research, University of Utah, Salt Lake City, UT, USA
| | - Taylor J Atkinson
- 1 Department of Neurology, Center for Alzheimer's Care, Imaging and Research, University of Utah, Salt Lake City, UT, USA
| | - Bonnie C A Dalley
- 1 Department of Neurology, Center for Alzheimer's Care, Imaging and Research, University of Utah, Salt Lake City, UT, USA
| | - Kayla R Suhrie
- 1 Department of Neurology, Center for Alzheimer's Care, Imaging and Research, University of Utah, Salt Lake City, UT, USA
| | - Kevin P Horn
- 2 Center for Quantitative Cancer Imaging, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Kelli M Rasmussen
- 2 Center for Quantitative Cancer Imaging, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Britney E Beardmore
- 2 Center for Quantitative Cancer Imaging, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Lance D Burrell
- 2 Center for Quantitative Cancer Imaging, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Kevin Duff
- 1 Department of Neurology, Center for Alzheimer's Care, Imaging and Research, University of Utah, Salt Lake City, UT, USA
| | - John M Hoffman
- 2 Center for Quantitative Cancer Imaging, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
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25
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Ng KP, Pascoal TA, Mathotaarachchi S, Chung CO, Benedet AL, Shin M, Kang MS, Li X, Ba M, Kandiah N, Rosa-Neto P, Gauthier S. Neuropsychiatric symptoms predict hypometabolism in preclinical Alzheimer disease. Neurology 2017; 88:1814-1821. [PMID: 28404803 PMCID: PMC5419982 DOI: 10.1212/wnl.0000000000003916] [Citation(s) in RCA: 53] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2016] [Accepted: 02/17/2017] [Indexed: 11/28/2022] Open
Abstract
Objective: To identify regional brain metabolic dysfunctions associated with neuropsychiatric symptoms (NPS) in preclinical Alzheimer disease (AD). Methods: We stratified 115 cognitively normal individuals into preclinical AD (both amyloid and tau pathologies present), asymptomatic at risk for AD (either amyloid or tau pathology present), or healthy controls (no amyloid or tau pathology present) using [18F]florbetapir PET and CSF phosphorylated tau biomarkers. Regression and voxel-based regression models evaluated the relationships between baseline NPS measured by the Neuropsychiatric Inventory (NPI) and baseline and 2-year change in metabolism measured by [18F]fluorodeoxyglucose (FDG) PET. Results: Individuals with preclinical AD with higher NPI scores had higher [18F]FDG uptake in the posterior cingulate cortex (PCC), ventromedial prefrontal cortex, and right anterior insula at baseline. High NPI scores predicted subsequent hypometabolism in the PCC over 2 years only in individuals with preclinical AD. Sleep/nighttime behavior disorders and irritability and lability were the components of the NPI that drove this metabolic dysfunction. Conclusions: The magnitude of NPS in preclinical cases, driven by sleep behavior and irritability domains, is linked to transitory metabolic dysfunctions within limbic networks vulnerable to the AD process and predicts subsequent PCC hypometabolism. These findings support an emerging conceptual framework in which NPS constitute an early clinical manifestation of AD pathophysiology.
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Affiliation(s)
- Kok Pin Ng
- From the Translational Neuroimaging Laboratory (K.P.N., T.A.P., S.M., C.-O.C., A.L.B., M.S., M.S.K., P.R.-N.) and Alzheimer's Disease Research Unit (K.P.N., X.L., M.B., P.R.-N., S.G.), McGill University Research Centre for Studies in Aging, Montreal, Quebec, Canada; Department of Neurology (K.P.N., N.K.), National Neuroscience Institute, Singapore; Montreal Neurological Institute (P.R.-N.); Department of Neurology and Neurosurgery (P.R.-N.), McGill University, Montreal, Quebec, Canada; Department of Neurology (X.L.), The Second Affiliated Hospital of Chongqing Medical University, Chongqing; and Department of Neurology (M.B.), Yantai Yuhuangding Hospital Affiliated to Qingdao Medical University, Shandong, PR China
| | - Tharick A Pascoal
- From the Translational Neuroimaging Laboratory (K.P.N., T.A.P., S.M., C.-O.C., A.L.B., M.S., M.S.K., P.R.-N.) and Alzheimer's Disease Research Unit (K.P.N., X.L., M.B., P.R.-N., S.G.), McGill University Research Centre for Studies in Aging, Montreal, Quebec, Canada; Department of Neurology (K.P.N., N.K.), National Neuroscience Institute, Singapore; Montreal Neurological Institute (P.R.-N.); Department of Neurology and Neurosurgery (P.R.-N.), McGill University, Montreal, Quebec, Canada; Department of Neurology (X.L.), The Second Affiliated Hospital of Chongqing Medical University, Chongqing; and Department of Neurology (M.B.), Yantai Yuhuangding Hospital Affiliated to Qingdao Medical University, Shandong, PR China
| | - Sulantha Mathotaarachchi
- From the Translational Neuroimaging Laboratory (K.P.N., T.A.P., S.M., C.-O.C., A.L.B., M.S., M.S.K., P.R.-N.) and Alzheimer's Disease Research Unit (K.P.N., X.L., M.B., P.R.-N., S.G.), McGill University Research Centre for Studies in Aging, Montreal, Quebec, Canada; Department of Neurology (K.P.N., N.K.), National Neuroscience Institute, Singapore; Montreal Neurological Institute (P.R.-N.); Department of Neurology and Neurosurgery (P.R.-N.), McGill University, Montreal, Quebec, Canada; Department of Neurology (X.L.), The Second Affiliated Hospital of Chongqing Medical University, Chongqing; and Department of Neurology (M.B.), Yantai Yuhuangding Hospital Affiliated to Qingdao Medical University, Shandong, PR China
| | - Chang-Oh Chung
- From the Translational Neuroimaging Laboratory (K.P.N., T.A.P., S.M., C.-O.C., A.L.B., M.S., M.S.K., P.R.-N.) and Alzheimer's Disease Research Unit (K.P.N., X.L., M.B., P.R.-N., S.G.), McGill University Research Centre for Studies in Aging, Montreal, Quebec, Canada; Department of Neurology (K.P.N., N.K.), National Neuroscience Institute, Singapore; Montreal Neurological Institute (P.R.-N.); Department of Neurology and Neurosurgery (P.R.-N.), McGill University, Montreal, Quebec, Canada; Department of Neurology (X.L.), The Second Affiliated Hospital of Chongqing Medical University, Chongqing; and Department of Neurology (M.B.), Yantai Yuhuangding Hospital Affiliated to Qingdao Medical University, Shandong, PR China
| | - Andréa L Benedet
- From the Translational Neuroimaging Laboratory (K.P.N., T.A.P., S.M., C.-O.C., A.L.B., M.S., M.S.K., P.R.-N.) and Alzheimer's Disease Research Unit (K.P.N., X.L., M.B., P.R.-N., S.G.), McGill University Research Centre for Studies in Aging, Montreal, Quebec, Canada; Department of Neurology (K.P.N., N.K.), National Neuroscience Institute, Singapore; Montreal Neurological Institute (P.R.-N.); Department of Neurology and Neurosurgery (P.R.-N.), McGill University, Montreal, Quebec, Canada; Department of Neurology (X.L.), The Second Affiliated Hospital of Chongqing Medical University, Chongqing; and Department of Neurology (M.B.), Yantai Yuhuangding Hospital Affiliated to Qingdao Medical University, Shandong, PR China
| | - Monica Shin
- From the Translational Neuroimaging Laboratory (K.P.N., T.A.P., S.M., C.-O.C., A.L.B., M.S., M.S.K., P.R.-N.) and Alzheimer's Disease Research Unit (K.P.N., X.L., M.B., P.R.-N., S.G.), McGill University Research Centre for Studies in Aging, Montreal, Quebec, Canada; Department of Neurology (K.P.N., N.K.), National Neuroscience Institute, Singapore; Montreal Neurological Institute (P.R.-N.); Department of Neurology and Neurosurgery (P.R.-N.), McGill University, Montreal, Quebec, Canada; Department of Neurology (X.L.), The Second Affiliated Hospital of Chongqing Medical University, Chongqing; and Department of Neurology (M.B.), Yantai Yuhuangding Hospital Affiliated to Qingdao Medical University, Shandong, PR China
| | - Min Su Kang
- From the Translational Neuroimaging Laboratory (K.P.N., T.A.P., S.M., C.-O.C., A.L.B., M.S., M.S.K., P.R.-N.) and Alzheimer's Disease Research Unit (K.P.N., X.L., M.B., P.R.-N., S.G.), McGill University Research Centre for Studies in Aging, Montreal, Quebec, Canada; Department of Neurology (K.P.N., N.K.), National Neuroscience Institute, Singapore; Montreal Neurological Institute (P.R.-N.); Department of Neurology and Neurosurgery (P.R.-N.), McGill University, Montreal, Quebec, Canada; Department of Neurology (X.L.), The Second Affiliated Hospital of Chongqing Medical University, Chongqing; and Department of Neurology (M.B.), Yantai Yuhuangding Hospital Affiliated to Qingdao Medical University, Shandong, PR China
| | - Xiaofeng Li
- From the Translational Neuroimaging Laboratory (K.P.N., T.A.P., S.M., C.-O.C., A.L.B., M.S., M.S.K., P.R.-N.) and Alzheimer's Disease Research Unit (K.P.N., X.L., M.B., P.R.-N., S.G.), McGill University Research Centre for Studies in Aging, Montreal, Quebec, Canada; Department of Neurology (K.P.N., N.K.), National Neuroscience Institute, Singapore; Montreal Neurological Institute (P.R.-N.); Department of Neurology and Neurosurgery (P.R.-N.), McGill University, Montreal, Quebec, Canada; Department of Neurology (X.L.), The Second Affiliated Hospital of Chongqing Medical University, Chongqing; and Department of Neurology (M.B.), Yantai Yuhuangding Hospital Affiliated to Qingdao Medical University, Shandong, PR China
| | - Maowen Ba
- From the Translational Neuroimaging Laboratory (K.P.N., T.A.P., S.M., C.-O.C., A.L.B., M.S., M.S.K., P.R.-N.) and Alzheimer's Disease Research Unit (K.P.N., X.L., M.B., P.R.-N., S.G.), McGill University Research Centre for Studies in Aging, Montreal, Quebec, Canada; Department of Neurology (K.P.N., N.K.), National Neuroscience Institute, Singapore; Montreal Neurological Institute (P.R.-N.); Department of Neurology and Neurosurgery (P.R.-N.), McGill University, Montreal, Quebec, Canada; Department of Neurology (X.L.), The Second Affiliated Hospital of Chongqing Medical University, Chongqing; and Department of Neurology (M.B.), Yantai Yuhuangding Hospital Affiliated to Qingdao Medical University, Shandong, PR China
| | - Nagaendran Kandiah
- From the Translational Neuroimaging Laboratory (K.P.N., T.A.P., S.M., C.-O.C., A.L.B., M.S., M.S.K., P.R.-N.) and Alzheimer's Disease Research Unit (K.P.N., X.L., M.B., P.R.-N., S.G.), McGill University Research Centre for Studies in Aging, Montreal, Quebec, Canada; Department of Neurology (K.P.N., N.K.), National Neuroscience Institute, Singapore; Montreal Neurological Institute (P.R.-N.); Department of Neurology and Neurosurgery (P.R.-N.), McGill University, Montreal, Quebec, Canada; Department of Neurology (X.L.), The Second Affiliated Hospital of Chongqing Medical University, Chongqing; and Department of Neurology (M.B.), Yantai Yuhuangding Hospital Affiliated to Qingdao Medical University, Shandong, PR China
| | - Pedro Rosa-Neto
- From the Translational Neuroimaging Laboratory (K.P.N., T.A.P., S.M., C.-O.C., A.L.B., M.S., M.S.K., P.R.-N.) and Alzheimer's Disease Research Unit (K.P.N., X.L., M.B., P.R.-N., S.G.), McGill University Research Centre for Studies in Aging, Montreal, Quebec, Canada; Department of Neurology (K.P.N., N.K.), National Neuroscience Institute, Singapore; Montreal Neurological Institute (P.R.-N.); Department of Neurology and Neurosurgery (P.R.-N.), McGill University, Montreal, Quebec, Canada; Department of Neurology (X.L.), The Second Affiliated Hospital of Chongqing Medical University, Chongqing; and Department of Neurology (M.B.), Yantai Yuhuangding Hospital Affiliated to Qingdao Medical University, Shandong, PR China
| | - Serge Gauthier
- From the Translational Neuroimaging Laboratory (K.P.N., T.A.P., S.M., C.-O.C., A.L.B., M.S., M.S.K., P.R.-N.) and Alzheimer's Disease Research Unit (K.P.N., X.L., M.B., P.R.-N., S.G.), McGill University Research Centre for Studies in Aging, Montreal, Quebec, Canada; Department of Neurology (K.P.N., N.K.), National Neuroscience Institute, Singapore; Montreal Neurological Institute (P.R.-N.); Department of Neurology and Neurosurgery (P.R.-N.), McGill University, Montreal, Quebec, Canada; Department of Neurology (X.L.), The Second Affiliated Hospital of Chongqing Medical University, Chongqing; and Department of Neurology (M.B.), Yantai Yuhuangding Hospital Affiliated to Qingdao Medical University, Shandong, PR China.
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Baker JE, Lim YY, Pietrzak RH, Hassenstab J, Snyder PJ, Masters CL, Maruff P. Cognitive impairment and decline in cognitively normal older adults with high amyloid-β: A meta-analysis. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2016; 6:108-121. [PMID: 28239636 PMCID: PMC5315443 DOI: 10.1016/j.dadm.2016.09.002] [Citation(s) in RCA: 120] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
INTRODUCTION This meta-analysis aimed to characterize the nature and magnitude of amyloid (Aβ)-related cognitive impairment and decline in cognitively normal (CN) older individuals. METHOD MEDLINE Ovid was searched from 2012 to June 2016 for studies reporting relationships between cerebrospinal fluid or positron emission tomography (PET) Aβ levels and cognitive impairment (cross-sectional) and decline (longitudinal) in CN older adults. Neuropsychological data were classified into domains of episodic memory, executive function, working memory, processing speed, visuospatial function, semantic memory, and global cognition. Type of Aβ measure, how Aβ burden was analyzed, inclusion of control variables, and clinical criteria used to exclude participants, were considered as moderators. Random-effects models were used for analyses with effect sizes expressed as Cohen's d. RESULTS A total of 38 studies met inclusion criteria contributing 30 cross-sectional (N = 5005) and 14 longitudinal (N = 2584) samples. Aβ-related cognitive impairment was observed for global cognition (d = 0.32), visuospatial function (d = 0.25), processing speed (d = 0.18), episodic memory, and executive function (both d's = 0.15), with decline observed for global cognition (d = 0.30), semantic memory (d = 0.28), visuospatial function (d = 0.25), and episodic memory (d = 0.24). Aβ-related impairment was moderated by age, amyloid measure, type of analysis, and inclusion of control variables and decline moderated by amyloid measure, type of analysis, inclusion of control variables, and exclusion criteria used. DISCUSSION CN older adults with high Aβ show a small general cognitive impairment and small to moderate decline in episodic memory, visuospatial function, semantic memory, and global cognition.
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Affiliation(s)
- Jenalle E. Baker
- The Florey Institute of Neuroscience and Mental Health, Parkville, Victoria, Australia
- CRC for Mental Health, Carlton South, Victoria, Australia
| | - Yen Ying Lim
- The Florey Institute of Neuroscience and Mental Health, Parkville, Victoria, Australia
- Cogstate Ltd., Melbourne, Victoria, Australia
| | - Robert H. Pietrzak
- U.S. Department of Veterans Affairs National Center for Posttraumatic Stress Disorder, Clinical Neurosciences Division, VA Connecticut Healthcare System, West Haven, CT, USA
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Jason Hassenstab
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
- Department of Psychological & Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA
| | - Peter J. Snyder
- Department of Neurology, Warren Alpert School of Medicine, Brown University, Providence, RI, USA
- Department of Neurology, Rhode Island Hospital & Alpert Medical School of Brown University, Providence, RI, USA
| | - Colin L. Masters
- The Florey Institute of Neuroscience and Mental Health, Parkville, Victoria, Australia
| | - Paul Maruff
- The Florey Institute of Neuroscience and Mental Health, Parkville, Victoria, Australia
- CRC for Mental Health, Carlton South, Victoria, Australia
- Cogstate Ltd., Melbourne, Victoria, Australia
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Oh H, Madison C, Baker S, Rabinovici G, Jagust W. Dynamic relationships between age, amyloid-β deposition, and glucose metabolism link to the regional vulnerability to Alzheimer's disease. Brain 2016; 139:2275-89. [PMID: 27190008 DOI: 10.1093/brain/aww108] [Citation(s) in RCA: 66] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2015] [Accepted: 03/24/2016] [Indexed: 12/21/2022] Open
Abstract
SEE HANSSON AND GOURAS DOI101093/AWW146 FOR A SCIENTIFIC COMMENTARY ON THIS ARTICLE: Although some brain regions such as precuneus and lateral temporo-parietal cortex have been shown to be more vulnerable to Alzheimer's disease than other areas, a mechanism underlying the differential regional vulnerability to Alzheimer's disease remains to be elucidated. Using fluorodeoxyglucose and Pittsburgh compound B positron emission tomography imaging glucose metabolism and amyloid-β deposition, we tested whether and how life-long changes in glucose metabolism relate to amyloid-β deposition and Alzheimer's disease-related hypometabolism. Nine healthy young adults (age range: 20-30), 96 cognitively normal older adults (age range: 61-96), and 20 patients with Alzheimer's disease (age range: 50-90) were scanned using fluorodeoxyglucose and Pittsburgh compound B positron emission tomography. Among cognitively normal older subjects, 32 were further classified as amyloid-positive, with 64 as amyloid-negative. To assess the contribution of glucose metabolism to the regional vulnerability to amyloid-β deposition, we defined the highest and lowest metabolic regions in young adults and examined differences in amyloid deposition between these regions across groups. Two-way analyses of variance were conducted to assess regional differences in age and amyloid-β-related changes in glucose metabolism. Multiple regressions were applied to examine the association between amyloid-β deposition and regional glucose metabolism. Both region of interest and whole-brain voxelwise analyses were conducted to complement and confirm the results derived from the other approach. Regional differences in glucose metabolism between the highest and lowest metabolism regions defined in young adults (T = 12.85, P < 0.001) were maintained both in Pittsburgh compound B-negative cognitively normal older subjects (T = 6.66, P < 0.001) and Pittsburgh compound B-positive cognitively normal older subjects (T = 10.62, P < 0.001), but, only the Pittsburgh compound B-positive cognitively normal older subjects group showed significantly higher Pittsburgh compound B retention in the highest compared to the lowest glucose metabolism regions defined in young adults (T = 2.05, P < 0.05). Regional differences in age and amyloid-β-dependent changes in glucose metabolism were found such that frontal glucose metabolism was reduced with age, while glucose metabolism in the precuneus was maintained across the lifespan (right hemisphere: F = 7.69, P < 0.001; left hemisphere: F = 8.69, P < 0.001). Greater Alzheimer's disease-related hypometabolism was observed in brain regions that showed both age-invariance and amyloid-β-related increases in glucose metabolism. Our results indicate that although early and life-long regional variation in glucose metabolism relates to the regional vulnerability to amyloid-β accumulation, Alzheimer's disease-related hypometabolism is more specific to brain regions showing age-invariant glucose metabolism and amyloid-β-related hypermetabolism.
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Affiliation(s)
- Hwamee Oh
- 1 Helen Wills Neuroscience Institute, University of California-Berkeley, Berkeley, CA 94720, USA
| | - Cindee Madison
- 1 Helen Wills Neuroscience Institute, University of California-Berkeley, Berkeley, CA 94720, USA
| | - Suzanne Baker
- 2 Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Gil Rabinovici
- 1 Helen Wills Neuroscience Institute, University of California-Berkeley, Berkeley, CA 94720, USA 2 Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA 3 Memory and Aging Center and Department of Neurology, University of California-San Francisco, San Francisco, CA 94117, USA
| | - William Jagust
- 1 Helen Wills Neuroscience Institute, University of California-Berkeley, Berkeley, CA 94720, USA 2 Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
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Ossenkoppele R, Schonhaut DR, Schöll M, Lockhart SN, Ayakta N, Baker SL, O'Neil JP, Janabi M, Lazaris A, Cantwell A, Vogel J, Santos M, Miller ZA, Bettcher BM, Vossel KA, Kramer JH, Gorno-Tempini ML, Miller BL, Jagust WJ, Rabinovici GD. Tau PET patterns mirror clinical and neuroanatomical variability in Alzheimer's disease. Brain 2016; 139:1551-67. [PMID: 26962052 PMCID: PMC5006248 DOI: 10.1093/brain/aww027] [Citation(s) in RCA: 755] [Impact Index Per Article: 94.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2015] [Revised: 12/21/2015] [Accepted: 01/11/2016] [Indexed: 11/13/2022] Open
Abstract
SEE SARAZIN ET AL DOI101093/BRAIN/AWW041 FOR A SCIENTIFIC COMMENTARY ON THIS ARTICLE: The advent of the positron emission tomography tracer (18)F-AV1451 provides the unique opportunity to visualize the regional distribution of tau pathology in the living human brain. In this study, we tested the hypothesis that tau pathology is closely linked to symptomatology and patterns of glucose hypometabolism in Alzheimer's disease, in contrast to the more diffuse distribution of amyloid-β pathology. We included 20 patients meeting criteria for probable Alzheimer's disease dementia or mild cognitive impairment due to Alzheimer's disease, presenting with a variety of clinical phenotypes, and 15 amyloid-β-negative cognitively normal individuals, who underwent (18)F-AV1451 (tau), (11)C-PiB (amyloid-β) and (18)F-FDG (glucose metabolism) positron emission tomography, apolipoprotein E (APOE) genotyping and neuropsychological testing. Voxel-wise contrasts against controls (at P < 0.05 family-wise error corrected) showed that (18)F-AV1451 and (18)F-FDG patterns in patients with posterior cortical atrophy ('visual variant of Alzheimer's disease', n = 7) specifically targeted the clinically affected posterior brain regions, while (11)C-PiB bound diffusely throughout the neocortex. Patients with an amnestic-predominant presentation (n = 5) showed highest (18)F-AV1451 retention in medial temporal and lateral temporoparietal regions. Patients with logopenic variant primary progressive aphasia ('language variant of Alzheimer's disease', n = 5) demonstrated asymmetric left greater than right hemisphere (18)F-AV1451 uptake in three of five patients. Across 30 FreeSurfer-defined regions of interest in 16 Alzheimer's disease patients with all three positron emission tomography scans available, there was a strong negative association between (18)F-AV1451 and (18)F-FDG uptake (Pearson's r = -0.49 ± 0.07, P < 0.001) and less pronounced positive associations between (11)C-PiB and (18)F-FDG (Pearson's r = 0.16 ± 0.09, P < 0.001) and (18)F-AV1451 and (11)C-PiB (Pearson's r = 0.18 ± 0.09, P < 0.001). Voxel-wise linear regressions thresholded at P < 0.05 (uncorrected) showed that, across all patients, younger age was associated with greater (18)F-AV1451 uptake in wide regions of the neocortex, while older age was associated with increased (18)F-AV1451 in the medial temporal lobe. APOE ϵ4 carriers showed greater temporal and parietal (18)F-AV1451 uptake than non-carriers. Finally, worse performance on domain-specific neuropsychological tests was associated with greater (18)F-AV1451 uptake in key regions implicated in memory (medial temporal lobes), visuospatial function (occipital, right temporoparietal cortex) and language (left > right temporoparietal cortex). In conclusion, tau imaging-contrary to amyloid-β imaging-shows a strong regional association with clinical and anatomical heterogeneity in Alzheimer's disease. Although preliminary, these results are consistent with and expand upon findings from post-mortem, animal and cerebrospinal fluid studies, and suggest that the pathological aggregation of tau is closely linked to patterns of neurodegeneration and clinical manifestations of Alzheimer's disease.
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Affiliation(s)
- Rik Ossenkoppele
- Memory and Aging Center, University of California San Francisco, San Francisco, CA, USA Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA, USA Department of Neurology and Alzheimer Center, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Daniel R Schonhaut
- Memory and Aging Center, University of California San Francisco, San Francisco, CA, USA Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA, USA
| | - Michael Schöll
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA, USA MedTech West and the Department of Clinical Neuroscience and Rehabilitation, University of Gothenburg, Sweden
| | - Samuel N Lockhart
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA, USA
| | - Nagehan Ayakta
- Memory and Aging Center, University of California San Francisco, San Francisco, CA, USA Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA, USA
| | - Suzanne L Baker
- Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - James P O'Neil
- Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Mustafa Janabi
- Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Andreas Lazaris
- Memory and Aging Center, University of California San Francisco, San Francisco, CA, USA
| | - Averill Cantwell
- Memory and Aging Center, University of California San Francisco, San Francisco, CA, USA
| | - Jacob Vogel
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA, USA
| | - Miguel Santos
- Memory and Aging Center, University of California San Francisco, San Francisco, CA, USA
| | - Zachary A Miller
- Memory and Aging Center, University of California San Francisco, San Francisco, CA, USA
| | - Brianne M Bettcher
- Memory and Aging Center, University of California San Francisco, San Francisco, CA, USA Rocky Mountain Alzheimer's Disease Center, Departments of Neurosurgery and Neurology, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
| | - Keith A Vossel
- Memory and Aging Center, University of California San Francisco, San Francisco, CA, USA
| | - Joel H Kramer
- Memory and Aging Center, University of California San Francisco, San Francisco, CA, USA
| | - Maria L Gorno-Tempini
- Memory and Aging Center, University of California San Francisco, San Francisco, CA, USA
| | - Bruce L Miller
- Memory and Aging Center, University of California San Francisco, San Francisco, CA, USA
| | - William J Jagust
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA, USA Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Gil D Rabinovici
- Memory and Aging Center, University of California San Francisco, San Francisco, CA, USA Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA, USA
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Teipel S, Grothe MJ. Does posterior cingulate hypometabolism result from disconnection or local pathology across preclinical and clinical stages of Alzheimer's disease? Eur J Nucl Med Mol Imaging 2016; 43:526-36. [PMID: 26555082 PMCID: PMC6166099 DOI: 10.1007/s00259-015-3222-3] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2015] [Accepted: 10/07/2015] [Indexed: 10/22/2022]
Abstract
PURPOSE Posterior cingulate cortex (PCC) hypometabolism as measured by FDG PET is an indicator of Alzheimer's disease (AD) in prodromal stages, such as in mild cognitive impairment (MCI), and has been found to be closely associated with hippocampus atrophy in AD dementia. We studied the effects of local and remote atrophy and of local amyloid load on the PCC metabolic signal in patients with different preclinical and clinical stages of AD. METHODS We determined the volume of the hippocampus and PCC grey matter based on volumetric MRI scans, PCC amyloid load based on AV45 PET, and PCC metabolism based on FDG PET in 667 subjects participating in the Alzheimer's Disease Neuroimaging Initiative spanning the range from cognitively normal ageing through prodromal AD to AD dementia. RESULTS In cognitively normal individuals and those with early MCI, PCC hypometabolism was exclusively associated with hippocampus atrophy, whereas in subjects with late MCI it was associated with both local and remote effects of atrophy as well as local amyloid load. In subjects with AD dementia, PCC hypometabolism was exclusively related to local atrophy. CONCLUSION Our findings suggest that the effects of remote pathology on PCC hypometabolism decrease and the effects of local pathology increase from preclinical to clinical stages of AD, consistent with a progressive disconnection of the PCC from downstream cortical and subcortical brain regions.
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Affiliation(s)
- Stefan Teipel
- Department of Psychosomatic Medicine, University of Rostock, Rostock, Germany.
- DZNE, German Center for Neurodegenerative Diseases, Gehlsheimer Str. 20, 18147, Rostock, Germany.
| | - Michel J Grothe
- DZNE, German Center for Neurodegenerative Diseases, Gehlsheimer Str. 20, 18147, Rostock, Germany
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Murayama N, Ota K, Kasanuki K, Kondo D, Fujishiro H, Fukase Y, Tagaya H, Sato K, Iseki E. Cognitive dysfunction in patients with very mild Alzheimer's disease and amnestic mild cognitive impairment showing hemispheric asymmetries of hypometabolism on ¹⁸F-FDG PET. Int J Geriatr Psychiatry 2016; 31:41-8. [PMID: 25820930 DOI: 10.1002/gps.4287] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2014] [Revised: 02/23/2015] [Accepted: 02/26/2015] [Indexed: 11/07/2022]
Abstract
OBJECTIVE We investigated cognitive dysfunction in patients with Alzheimer's disease (AD) and amnestic mild cognitive impairment (aMCI) who present hemispheric asymmetries of cerebral metabolic rate of glucose (CMRglc) decrease on (18) F-fluorodeoxyglucose positron emission tomography. METHODS Based on the hemispheric asymmetries of CMRglc decrease in the posterior cingulate cortex, precuneus, and parietotemporal cortex, the patients were divided into three groups (a left-dominant hypometabolism group, a right-dominant hypometabolism group, and a non-dominant hypometabolism group). CMRglc decrease in the whole brain was controlled among the three groups. All the patients underwent mini-mental state examination (MMSE), Wechsler Memory Scale-Revised (WMS-R), and Wechsler Adult Intelligent Scale-Third (WAIS-III). RESULTS There were no significant differences in MMSE and WAIS-III scores among the three groups. In WMS-R, the results indicated that the left-dominant group demonstrated significantly lower scores in verbal memory than the other two groups. Furthermore, the left-dominant group had a greater tendency to be diagnosed with AD rather than aMCI. CONCLUSIONS Patients with AD and aMCI showing left-dominant hypometabolism tend to show severer impairment in verbal memory function and to be diagnosed with AD dementia.
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Affiliation(s)
- Norio Murayama
- PET/CT Dementia Research Center, Juntendo Tokyo Koto Geriatric Medical Center, Juntendo University School of Medicine, Tokyo, Japan.,School of Allied Health Sciences, Kitasato University, Kanagawa, Japan
| | - Kazumi Ota
- PET/CT Dementia Research Center, Juntendo Tokyo Koto Geriatric Medical Center, Juntendo University School of Medicine, Tokyo, Japan
| | - Koji Kasanuki
- PET/CT Dementia Research Center, Juntendo Tokyo Koto Geriatric Medical Center, Juntendo University School of Medicine, Tokyo, Japan
| | - Daizo Kondo
- PET/CT Dementia Research Center, Juntendo Tokyo Koto Geriatric Medical Center, Juntendo University School of Medicine, Tokyo, Japan
| | - Hiroshige Fujishiro
- PET/CT Dementia Research Center, Juntendo Tokyo Koto Geriatric Medical Center, Juntendo University School of Medicine, Tokyo, Japan
| | - Yuko Fukase
- School of Allied Health Sciences, Kitasato University, Kanagawa, Japan
| | - Hirokuni Tagaya
- School of Allied Health Sciences, Kitasato University, Kanagawa, Japan
| | - Kiyoshi Sato
- PET/CT Dementia Research Center, Juntendo Tokyo Koto Geriatric Medical Center, Juntendo University School of Medicine, Tokyo, Japan
| | - Eizo Iseki
- PET/CT Dementia Research Center, Juntendo Tokyo Koto Geriatric Medical Center, Juntendo University School of Medicine, Tokyo, Japan
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Jayasena T, Poljak A, Braidy N, Smythe G, Raftery M, Hill M, Brodaty H, Trollor J, Kochan N, Sachdev P. Upregulation of glycolytic enzymes, mitochondrial dysfunction and increased cytotoxicity in glial cells treated with Alzheimer's disease plasma. PLoS One 2015; 10:e0116092. [PMID: 25785936 PMCID: PMC4364672 DOI: 10.1371/journal.pone.0116092] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2014] [Accepted: 12/04/2014] [Indexed: 11/19/2022] Open
Abstract
Alzheimer's disease (AD) is a neurodegenerative disorder associated with increased oxidative stress and neuroinflammation. Markers of increased protein, lipid and nucleic acid oxidation and reduced activities of antioxidant enzymes have been reported in AD plasma. Amyloid plaques in the AD brain elicit a range of reactive inflammatory responses including complement activation and acute phase reactions, which may also be reflected in plasma. Previous studies have shown that human AD plasma may be cytotoxic to cultured cells. We investigated the effect of pooled plasma (n = 20 each) from healthy controls, individuals with amnestic mild cognitive impairment (aMCI) and Alzheimer's disease (AD) on cultured microglial cells. AD plasma and was found to significantly decrease cell viability and increase glycolytic flux in microglia compared to plasma from healthy controls. This effect was prevented by the heat inactivation of complement. Proteomic methods and isobaric tags (iTRAQ) found the expression level of complement and other acute phase proteins to be altered in MCI and AD plasma and an upregulation of key enzymes involved in the glycolysis pathway in cells exposed to AD plasma. Altered expression levels of acute phase reactants in AD plasma may alter the energy metabolism of glia.
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Affiliation(s)
- Tharusha Jayasena
- Bioanalytical Mass Spectrometry Facility, MW Analytical Centre, University of New South Wales, Sydney, Australia
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
| | - Anne Poljak
- Bioanalytical Mass Spectrometry Facility, MW Analytical Centre, University of New South Wales, Sydney, Australia
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
- School of Medical Sciences, University of New South Wales, Sydney, Australia
- * E-mail:
| | - Nady Braidy
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
| | - George Smythe
- Bioanalytical Mass Spectrometry Facility, MW Analytical Centre, University of New South Wales, Sydney, Australia
- School of Medical Sciences, University of New South Wales, Sydney, Australia
| | - Mark Raftery
- Bioanalytical Mass Spectrometry Facility, MW Analytical Centre, University of New South Wales, Sydney, Australia
| | - Mark Hill
- School of Medical Sciences, University of New South Wales, Sydney, Australia
| | - Henry Brodaty
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
- Dementia Collaborative Research Centre, University of New South Wales, Sydney, Australia
| | - Julian Trollor
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
- Neuropsychiatric Institute, the Prince of Wales Hospital, Sydney, Australia
| | - Nicole Kochan
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
- Neuropsychiatric Institute, the Prince of Wales Hospital, Sydney, Australia
| | - Perminder Sachdev
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
- Neuropsychiatric Institute, the Prince of Wales Hospital, Sydney, Australia
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Cortical hypermetabolism in MCI subjects: a compensatory mechanism? Eur J Nucl Med Mol Imaging 2014; 42:447-58. [DOI: 10.1007/s00259-014-2919-z] [Citation(s) in RCA: 68] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2013] [Accepted: 09/17/2014] [Indexed: 01/25/2023]
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Mattsson N, Tosun D, Insel PS, Simonson A, Jack CR, Beckett LA, Donohue M, Jagust W, Schuff N, Weiner MW. Association of brain amyloid-β with cerebral perfusion and structure in Alzheimer's disease and mild cognitive impairment. ACTA ACUST UNITED AC 2014; 137:1550-61. [PMID: 24625697 DOI: 10.1093/brain/awu043] [Citation(s) in RCA: 137] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Patients with Alzheimer's disease have reduced cerebral blood flow measured by arterial spin labelling magnetic resonance imaging, but it is unclear how this is related to amyloid-β pathology. Using 182 subjects from the Alzheimer's Disease Neuroimaging Initiative we tested associations of amyloid-β with regional cerebral blood flow in healthy controls (n = 51), early (n = 66) and late (n = 41) mild cognitive impairment, and Alzheimer's disease with dementia (n = 24). Based on the theory that Alzheimer's disease starts with amyloid-β accumulation and progresses with symptoms and secondary pathologies in different trajectories, we tested if cerebral blood flow differed between amyloid-β-negative controls and -positive subjects in different diagnostic groups, and if amyloid-β had different associations with cerebral blood flow and grey matter volume. Global amyloid-β load was measured by florbetapir positron emission tomography, and regional blood flow and volume were measured in eight a priori defined regions of interest. Cerebral blood flow was reduced in patients with dementia in most brain regions. Higher amyloid-β load was related to lower cerebral blood flow in several regions, independent of diagnostic group. When comparing amyloid-β-positive subjects with -negative controls, we found reductions of cerebral blood flow in several diagnostic groups, including in precuneus, entorhinal cortex and hippocampus (dementia), inferior parietal cortex (late mild cognitive impairment and dementia), and inferior temporal cortex (early and late mild cognitive impairment and dementia). The associations of amyloid-β with cerebral blood flow and volume differed across the disease spectrum, with high amyloid-β being associated with greater cerebral blood flow reduction in controls and greater volume reduction in late mild cognitive impairment and dementia. In addition to disease stage, amyloid-β pathology affects cerebral blood flow across the span from controls to dementia patients. Amyloid-β pathology has different associations with cerebral blood flow and volume, and may cause more loss of blood flow in early stages, whereas volume loss dominates in late disease stages.
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Affiliation(s)
- Niklas Mattsson
- 1 Department of Veterans Affairs Medical Centre, Centre for Imaging of Neurodegenerative Diseases, San Francisco, CA, USA
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