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Ruggeri M, Ricci M, Gerace C, Blundo C. Accelerated long-term forgetting: from subjective memory decline to a defined clinical entity. NEUROPSYCHOLOGY, DEVELOPMENT, AND COGNITION. SECTION B, AGING, NEUROPSYCHOLOGY AND COGNITION 2024:1-12. [PMID: 38363088 DOI: 10.1080/13825585.2024.2317924] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 02/07/2024] [Indexed: 02/17/2024]
Abstract
Subjective memory decline (SMD) might represent the preclinical phase of Alzheimer's disease (AD), and has been reported in epileptic amnesia associated with accelerated long-term forgetting (ALF). We investigated ALF in SMD subjects by means of RAVLT recall and recognition and ROCF recall after 1-week retention and compared with a control group. Two-way ANOVAs for RAVLT and ROCF were conducted, and stepwise regression analysis was administered considering EMQ and DASS-21 as factors. SMD subjects performed significantly worse than controls at 1-week delay on RAVLT recall and recognition, but not on ROCF, and not associated with depression or memory complaints. SMD patients showed ALF, which is usually associated with temporomesial dysfunctions, representing a cognitive marker to assess objectively memory problems in SMD, and to undisclose initial neurodegenerative disease involving temporal structures usually compromised in AD. Therefore, SMD might no longer be "subjective," but rather a specific and defined clinical entity.
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Affiliation(s)
- Massimiliano Ruggeri
- Unit for Cognitive Disorders and Dementia, Department of Neuroscience, San Camillo Forlanini Hospital, Rome, Italy
| | - Monica Ricci
- Unit for Cognitive Disorders and Dementia, Department of Neuroscience, San Camillo Forlanini Hospital, Rome, Italy
| | - Carmela Gerace
- Unit for Cognitive Disorders and Dementia, Department of Neuroscience, San Camillo Forlanini Hospital, Rome, Italy
| | - Carlo Blundo
- Unit for Cognitive Disorders and Dementia, Department of Neuroscience, San Camillo Forlanini Hospital, Rome, Italy
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Löffler A, Beier F, Bekrater-Bodmann R, Hausner L, Desch S, Silvoni S, Kleinböhl D, Löffler M, Nees F, Frölich L, Flor H. Reduced tactile sensitivity is associated with mild cognitive impairment. EBioMedicine 2024; 99:104896. [PMID: 38041920 PMCID: PMC10711381 DOI: 10.1016/j.ebiom.2023.104896] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2023] [Revised: 11/12/2023] [Accepted: 11/15/2023] [Indexed: 12/04/2023] Open
Abstract
BACKGROUND Sensory impairment has been related to age-associated cognitive decline. While these associations were investigated primarily in the auditory and visual domain, other senses such as touch have rarely been studied. Thus, it remains open whether these results are specific for particular sensory domains, or rather point to a fundamental role of sensory deficits in cognitive decline. METHODS Data from 31 participants with mild cognitive impairment (MCI), 46 participants with frailty, and 23 non-clinical control participants (NCCs) were included. We assessed sensory function using visual acuity and contrast sensitivity, hearing threshold, and mechanical detection threshold. Cognitive function in participants with MCI was assessed using associative memory performance. Group differences on sensory thresholds were tested using analyses of covariance with age, sex, and years of education as covariates. Associations between measures within participants with MCI were evaluated using Spearman correlations. FINDINGS We found a significant difference in mechanical detection threshold between the groups (p < 0.001, η2 = 0.18). Participants with MCI showed significantly reduced tactile sensitivity compared to participants with frailty and NCCs. In participants with MCI, lower associative memory performance was significantly related to reduced tactile sensitivity (rs = 0.39, p = 0.031) and auditory acuity (rs = 0.41, p = 0.022). INTERPRETATION Our results indicate that reduced tactile sensitivity is related to cognitive decline. Prospective studies should investigate the age-related alterations of multimodal sensory processes and their contribution to dementia-related processes. FUNDING Deutsche Forschungsgemeinschaft (FL 156/41-1) and a grant of the Hector-Stiftung II, Weinheim, Germany.
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Affiliation(s)
- Annette Löffler
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany; Department of Psychosomatic Medicine and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany; Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen, Aachen, Germany
| | - Florian Beier
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
| | - Robin Bekrater-Bodmann
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany; Department of Psychosomatic Medicine and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany; Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen, Aachen, Germany
| | - Lucrezia Hausner
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany; Department of Geriatric Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Simon Desch
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany; Clinical Psychology, Department of Experimental Psychology, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Stefano Silvoni
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Dieter Kleinböhl
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Martin Löffler
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany; Clinical Psychology, Department of Experimental Psychology, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Frauke Nees
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany; Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig-Holstein, Kiel University, Kiel, Germany
| | - Lutz Frölich
- Department of Geriatric Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Herta Flor
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
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Bolton CJ, Khan OA, Liu D, Wilhoite S, Dumitrescu L, Peterson A, Blennow K, Zetterberg H, Hohman TJ, Jefferson AL, Gifford KA. Sex and Education Modify the Association Between Subjective Cognitive Decline and Amyloid Pathology. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.11.03.23297795. [PMID: 37961115 PMCID: PMC10635270 DOI: 10.1101/2023.11.03.23297795] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
Background Subjective cognitive decline (SCD) may be an early risk factor for dementia, particularly in highly educated individuals and women. This study examined the effect of education and sex on the association between SCD and Alzheimer's disease (AD) biomarkers in non-demented older adults. Method Vanderbilt Memory and Aging Project participants free of clinical dementia or stroke (n=156, 72±6 years, 37% mild cognitive impairment, 33% female) completed fasting lumbar puncture, SCD assessment, and Wide Range Achievement Test-III Reading subtest to assess reading level at baseline as a a proxy for educational quality. Cerebrospinal fluid (CSF) biomarkers for AD (β-amyloid 42 (Aβ42), Aβ42/40 ratio, phosphorylated tau (p-tau), tau, and neurofilament light (NfL)) were analyzed in batch. Linear mixed effects models related SCD to CSF AD biomarkers and follow-up models assessed SCD x sex, SCD x reading level , and SCD x education interactions on AD biomarkers. Result In main effect models, higher SCD was associated with lower Aβ42 and Aβ42/40 ratio (p-values<0.004). SCD was not associated with tau, p-tau, or NfL levels ( p- values>0.38). SCD score interacted with sex on Aβ42/40 ratio ( p =0.03) but no other biomarkers ( p -values>0.10). In stratified models, higher SCD was associated with lower Aβ42/40 ratio in men ( p =0.0003) but not in women ( p =0.48). SCD score interacted with education on Aβ42 ( p =0.005) and Aβ42/40 ratio ( p =0.001) such that higher education was associated with a stronger negative association between SCD and amyloid levels. No SCD score x reading level interaction was found (p-values> 0.51) though significant associations between SCD and amyloid markers were seen in the higher reading level group (p-values<0.004) but not the lower reading level group (p-values>0.12) when stratified by a median split in reading level. Conclusion Among community-dwelling older adults free of clinical dementia, higher SCD was associated with greater cerebral amyloid accumulation, one of the earliest pathological AD changes. SCD appears most useful in detecting early AD-related brain changes in men and individuals with higher quantity and quality of education. SCD was not associated with CSF markers of tau pathology or neurodegeneration. These findings suggest that considering sex and education is important when assessing SCD in older adults.
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Cheng GR, Liu D, Huang LY, Han GB, Hu FF, Wu ZX, He XM, Huang YW, Yu YF, Xu L, Li JQ, Chen YS, Wei Z, Wu Q, Mei YF, Chen XX, Ou YM, Zhang JJ, Yang ML, Lian PF, Tan W, Xie XY, Zeng Y. Prevalence and risk factors for subjective cognitive decline and the correlation with objective cognition among community-dwelling older adults in China: Results from the Hubei memory and aging cohort study. Alzheimers Dement 2023; 19:5074-5085. [PMID: 37186161 DOI: 10.1002/alz.13047] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 02/18/2023] [Accepted: 02/23/2023] [Indexed: 05/17/2023]
Abstract
INTRODUCTION The prevalence and risk factors for subjective cognitive decline (SCD) and its correlation with objective cognition decline (OCD) among community-dwelling older adults is inconsistent. METHODS Older adults underwent neuropsychological and clinical evaluations to reach a consensus on diagnoses. RESULTS This study included 7486 adults without mild cognitive impairment and dementia (mean age: 71.35 years [standard deviation = 5.40]). The sex-, age-, and residence-adjusted SCD prevalence was 58.33% overall (95% confidence interval: 58.29% to 58.37%), with higher rates of 61.25% and 59.87% in rural and female subgroups, respectively. SCD global and OCD language, SCD memory and OCD global, SCD and OCD memory, and SCD and OCD language were negatively correlated in fully adjusted models. Seven health and lifestyle factors were associated with an increased risk for SCD. DISCUSSION SCD affected 58.33% of older adults and may indicate concurrent OCD, which should prompt the initiation of preventative intervention for dementia. HIGHLIGHTS SCD affects 58.33% of older adults in China. SCD may indicate concurrent objective cognitive decline. Difficulty finding words and memory impairments may indicate a risk for AD. The presence of SCD may prompt preventative treatment initiation of MCI or dementia. Social network factors may be initial targets for the early prevention of SCD.
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Affiliation(s)
- Gui-Rong Cheng
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
- School of Public Health, Wuhan University of Science and Technology, Wuhan, China
| | - Dan Liu
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
- School of Public Health, Wuhan University of Science and Technology, Wuhan, China
| | - Lin-Ya Huang
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
| | - Gang-Bin Han
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
| | - Fei-Fei Hu
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | | | - Xiao-Ming He
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Yu-Wei Huang
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
| | - Ya-Fu Yu
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
| | - Lang Xu
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
- School of Public Health, Wuhan University of Science and Technology, Wuhan, China
| | - Jin-Quan Li
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
- School of Public Health, Wuhan University of Science and Technology, Wuhan, China
| | - Yu-Shan Chen
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- School of Public Health, Wuhan University of Science and Technology, Wuhan, China
| | - Zhen Wei
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- School of Public Health, Wuhan University of Science and Technology, Wuhan, China
| | - Qiong Wu
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Yu-Fei Mei
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Xing-Xing Chen
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Yang-Ming Ou
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Jing-Jing Zhang
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Meng-Liu Yang
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Peng-Fei Lian
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Wei Tan
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Xin-Yan Xie
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
- School of Public Health, Wuhan University of Science and Technology, Wuhan, China
| | - Yan Zeng
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
- School of Public Health, Wuhan University of Science and Technology, Wuhan, China
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The Use of Executive Fluency Tasks to Detect Cognitive Impairment in Individuals with Subjective Cognitive Decline. Behav Sci (Basel) 2022; 12:bs12120491. [PMID: 36546974 PMCID: PMC9774264 DOI: 10.3390/bs12120491] [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: 11/01/2022] [Revised: 11/28/2022] [Accepted: 11/29/2022] [Indexed: 12/10/2022] Open
Abstract
OBJECTIVE Although evidence has indicated that subjective cognitive decline (SCD) may be an early sign of Alzheimer's disease (AD), the objectification of cognitive impairment in SCD is challenging, mainly due to the lack of sensitivity in assessment tools. The present study investigated the potential contribution of two verbal fluency tasks with high executive processing loads to the identification of cognitive impairment in SCD. METHODS A total of 60 adults with SCD and 60 healthy controls (HCs) performed one free action (verb) fluency task and two fluency tasks with more executive processing load-an alternating fluency task and an orthographic constraint fluency task-and the results were compared. RESULT In the free action fluency task, the performance of the participants with SCD and the HCs was similar. However, HCs performed significantly better than SCD in the alternating fluency task, which required mental flexibility, and the orthographic constraint fluency task, which required inhibition. DISCUSSION The study findings suggest that verbal fluency tasks with high executive processing load could be useful in detecting cognitive deficits at the preclinical stage of AD. The inclusion of such tests in assessment batteries should be considered in order to improve the detection of subtle cognitive impairment in preclinical major neurocognitive disorder populations.
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Munro CE, Buckley R, Vannini P, DeMuro C, Sperling R, Rentz DM, Johnson K, Gatchel JR, Amariglio R. Longitudinal Trajectories of Participant- and Study Partner-Rated Cognitive Decline, in Relation to Alzheimer's Disease Biomarkers and Mood Symptoms. Front Aging Neurosci 2022; 13:806432. [PMID: 35173601 PMCID: PMC8841868 DOI: 10.3389/fnagi.2021.806432] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2021] [Accepted: 12/29/2021] [Indexed: 11/13/2022] Open
Abstract
Whereas discrepancies between participant- and study partner-reported cognitive concerns on the Alzheimer's disease (AD) continuum have been observed, more needs to be known regarding the longitudinal trajectories of participant- vs. study partner-reported concerns, particularly their relationship to AD biomarkers and mood symptomology. Additionally, it is unclear whether years of in-clinic data collection are needed to observe relationships with AD biomarkers, or whether more frequent, remote assessments over shorter periods of time would suffice. This study primarily sought to examine the relationships between longitudinal trajectories of participant- and study partner-rated cognitive decline and baseline biomarker levels [i.e., amyloid and tau positron emission tomography (PET)], in addition to how mood symptomatology may alter these trajectories of concerns over a 2-year period. Baseline mood was associated with longitudinal participant-rated concerns, such that participants with elevated depression and anxiety scores at baseline had decreasing concerns about cognitive decline over time (fixed estimate = -0.17, 95% CI [-0.29 to -0.05], t = -2.75, df = 457, adj. p = 0.012). A significant interaction between baseline amyloid (fixed estimate = 4.07, 95% CI [1.13-7.01], t = 2.72, df = 353, adj. p = 0.026) and tau (fixed estimate = 3.50, 95% CI [0.95-6.06], t = 2.70, df = 331, adj. p = 0.030) levels was associated with increasing study partner concerns, but not participant concerns, over time. The interaction between amyloid and study partner concerns remained significant when utilizing only the first year of concern-related data collection. Overall, these results suggest that frequent, remote assessment of study partner-reported concerns may offer additional insight into the AD clinical spectrum, as study partners appear to more accurately update their concerns over time with regard to pathology, with these concerns less influenced by participants' mood symptomatology.
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Affiliation(s)
- Catherine E. Munro
- Center for Brain/Mind Medicine, Brigham and Women’s Hospital, Boston, MA, United States
| | - Rachel Buckley
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- Center for Alzheimer’s Research and Treatment, Department of Neurology, Brigham and Women’s Hospital, Boston, MA, United States
- Melbourne School of Psychological Sciences, Florey Institute, The University of Melbourne, Melbourne, VIC, Australia
| | - Patrizia Vannini
- Center for Brain/Mind Medicine, Brigham and Women’s Hospital, Boston, MA, United States
- Massachusetts General Hospital, Boston, MA, United States
| | - Carla DeMuro
- Department of Patient-Centered Outcomes Assessment, RTI Health Solutions, Research Triangle Park, NC, United States
| | - Reisa Sperling
- Center for Alzheimer’s Research and Treatment, Department of Neurology, Brigham and Women’s Hospital, Boston, MA, United States
- Massachusetts General Hospital, Boston, MA, United States
| | - Dorene M. Rentz
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- Center for Alzheimer’s Research and Treatment, Department of Neurology, Brigham and Women’s Hospital, Boston, MA, United States
| | - Keith Johnson
- Center for Alzheimer’s Research and Treatment, Department of Neurology, Brigham and Women’s Hospital, Boston, MA, United States
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Jennifer R. Gatchel
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- McLean Hospital, Belmont, MA, United States
| | - Rebecca Amariglio
- Center for Brain/Mind Medicine, Brigham and Women’s Hospital, Boston, MA, United States
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Ricci M, Cimini A, Camedda R, Chiaravalloti A, Schillaci O. Tau Biomarkers in Dementia: Positron Emission Tomography Radiopharmaceuticals in Tauopathy Assessment and Future Perspective. Int J Mol Sci 2021; 22:ijms222313002. [PMID: 34884804 PMCID: PMC8657996 DOI: 10.3390/ijms222313002] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Revised: 11/14/2021] [Accepted: 11/25/2021] [Indexed: 01/20/2023] Open
Abstract
Abnormal accumulation of Tau protein is closely associated with neurodegeneration and cognitive impairment and it is a biomarker of neurodegeneration in the dementia field, especially in Alzheimer’s disease (AD); therefore, it is crucial to be able to assess the Tau deposits in vivo. Beyond the fluid biomarkers of tauopathy described in this review in relationship with the brain glucose metabolic patterns, this review aims to focus on tauopathy assessment by using Tau PET imaging. In recent years, several first-generation Tau PET tracers have been developed and applied in the dementia field. Common limitations of first-generation tracers include off-target binding and subcortical white-matter uptake; therefore, several institutions are working on developing second-generation Tau tracers. The increasing knowledge about the distribution of first- and second-generation Tau PET tracers in the brain may support physicians with Tau PET data interpretation, both in the research and in the clinical field, but an updated description of differences in distribution patterns among different Tau tracers, and in different clinical conditions, has not been reported yet. We provide an overview of first- and second-generation tracers used in ongoing clinical trials, also describing the differences and the properties of novel tracers, with a special focus on the distribution patterns of different Tau tracers. We also describe the distribution patterns of Tau tracers in AD, in atypical AD, and further neurodegenerative diseases in the dementia field.
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Affiliation(s)
- Maria Ricci
- Department of Biomedicine and Prevention, University of Rome Tor Vergata, 00133 Rome, Italy; (A.C.); (R.C.); (A.C.); (O.S.)
- Correspondence:
| | - Andrea Cimini
- Department of Biomedicine and Prevention, University of Rome Tor Vergata, 00133 Rome, Italy; (A.C.); (R.C.); (A.C.); (O.S.)
| | - Riccardo Camedda
- Department of Biomedicine and Prevention, University of Rome Tor Vergata, 00133 Rome, Italy; (A.C.); (R.C.); (A.C.); (O.S.)
| | - Agostino Chiaravalloti
- Department of Biomedicine and Prevention, University of Rome Tor Vergata, 00133 Rome, Italy; (A.C.); (R.C.); (A.C.); (O.S.)
- Nuclear Medicine Section, IRCCS Neuromed, 86077 Pozzilli, Italy
| | - Orazio Schillaci
- Department of Biomedicine and Prevention, University of Rome Tor Vergata, 00133 Rome, Italy; (A.C.); (R.C.); (A.C.); (O.S.)
- Nuclear Medicine Section, IRCCS Neuromed, 86077 Pozzilli, Italy
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Chapman S, Sunderaraman P, Joyce JL, Azar M, Colvin LE, Barker MS, McKeague I, Kreisl WC, Cosentino S. Optimizing Subjective Cognitive Decline to Detect Early Cognitive Dysfunction. J Alzheimers Dis 2021; 80:1185-1196. [PMID: 33646159 DOI: 10.3233/jad-201322] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND The utility of subjective cognitive decline (SCD) as an indicator of preclinical AD is overshadowed by its inconsistent association with objective cognition. OBJECTIVE This study examines if manipulations of SCD measurement affect its association with early cognitive dysfunction characteristic of preclinical AD. METHODS Cognitively healthy older adults (n = 110) completed SCD questionnaires that elicited complaints in general, compared to 5 years ago (retrospective SCD) and compared to their peers (age-anchored SCD) in binary and Likert scales. Outcome cognitive tasks included an associative memory task (Face-Name Test), a visual short-term memory binding task (STMB test), and a clinical neuropsychological list learning test (Selective Reminder Test). RESULTS SCD complaints, when compared to age-matched peers (age-anchored SCD) were endorsed less frequently than complaints compared to 5 years ago (retrospective SCD) (p < 0.01). In demographically adjusted regressions, age-anchored ordinal-rated SCD was associated with short term memory binding (β= -0.22, p = 0.040, CI = -0.45, -0.01), associative memory (β= -0.26, p = 0.018, CI = -0.45, -0.06), and list learning (β= -0.31, p = 0.002, CI = -0.51, -0.12). Retrospective and general ordinal-rated SCD was associated with associative memory (β= -0.25, p = 0.012, CI = -0.44, -0.06; β= -0.29, p = 0.003, CI = -0.47, -0.10) and list learning only (β= -0.25, p = 0.014, CI = -0.45, -0.05; β= -0.28, p = 0.004, CI = -0.48, -0.09). CONCLUSION Ordinal age-anchored SCD appears better suited than other SCD measurements to detect early cognitive dysfunction characteristic of preclinical AD.
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Affiliation(s)
- Silvia Chapman
- Cognitive Neuroscience Division, Columbia University Medical Center, New York, NY, USA.,Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Medical Center, New York, NY, USA
| | - Preeti Sunderaraman
- Cognitive Neuroscience Division, Columbia University Medical Center, New York, NY, USA.,Gertrude H. Sergievsky Center, Columbia University Medical Center, New York, NY, USA.,Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Medical Center, New York, NY, USA.,Department of Neurology, Columbia University Medical Center, New York, NY, USA
| | - Jillian L Joyce
- Cognitive Neuroscience Division, Columbia University Medical Center, New York, NY, USA.,Gertrude H. Sergievsky Center, Columbia University Medical Center, New York, NY, USA
| | - Martina Azar
- Department of Psychology, Drexel University, Philadelphia, PA, USA.,VA Boston Health Care System, Boston, MA, USA
| | | | - Megan S Barker
- Cognitive Neuroscience Division, Columbia University Medical Center, New York, NY, USA.,Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Medical Center, New York, NY, USA
| | - Ian McKeague
- Department of Biostatistics, Mailman School of Public Health, Columbia University Medical Center, New York, NY, USA
| | - William C Kreisl
- Cognitive Neuroscience Division, Columbia University Medical Center, New York, NY, USA.,Gertrude H. Sergievsky Center, Columbia University Medical Center, New York, NY, USA.,Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Medical Center, New York, NY, USA.,Department of Neurology, Columbia University Medical Center, New York, NY, USA
| | - Stephanie Cosentino
- Cognitive Neuroscience Division, Columbia University Medical Center, New York, NY, USA.,Gertrude H. Sergievsky Center, Columbia University Medical Center, New York, NY, USA.,Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Medical Center, New York, NY, USA.,Department of Neurology, Columbia University Medical Center, New York, NY, USA
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The relationship between white matter microstructure and self-perceived cognitive decline. Neuroimage Clin 2021; 32:102794. [PMID: 34479171 PMCID: PMC8414539 DOI: 10.1016/j.nicl.2021.102794] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Revised: 08/12/2021] [Accepted: 08/13/2021] [Indexed: 11/20/2022]
Abstract
Subjective cognitive decline (SCD) is a perceived cognitive change prior to objective cognitive deficits, and although it is associated with Alzheimer's disease (AD) pathology, it likely results from multiple underlying pathologies. We investigated the association of white matter microstructure to SCD as a sensitive and early marker of cognitive decline and quantified the contribution of white matter microstructure separate from amyloidosis. Vanderbilt Memory & Aging Project participants with diffusion MRI data and a 45-item measure of SCD were included [n = 236, 137 cognitively unimpaired (CU), 99 with mild cognitive impairment (MCI), 73 ± 7 years, 37% female]. A subset of participants (64 CU, 40 MCI) underwent a fasting lumbar puncture for quantification of cerebrospinal fluid (CSF) amyloid-β(CSF Aβ42), total tau (CSF t-tau), and phosphorylated tau (CSF p-tau). Diffusion MRI data was post-processed using the free-water (FW) elimination technique, which allowed quantification of extracellular (FW) and intracellular compartment (fractional anisotropy, mean diffusivity, axial diffusivity, and radial diffusivity) microstructure. Microstructural values were quantified within 11 cognitive-related white matter tracts, including medial temporal lobe, frontal transcallosal, and fronto-parietal tracts using a region of interest approach. General linear modeling related each tract to SCD scores adjusting for age, sex, race/ethnicity, education, Framingham Stroke Risk Profile scores, APOE ε4 carrier status, diagnosis, Geriatric Depression Scale scores, hippocampal volume, and total white matter volume. Competitive models were analyzed to determine if white matter microstructural values have a unique role in SCD scores separate from CSF Aβ42. FW-corrected radial diffusivity (RDT) was related to SCD scores in 8 tracts: cingulum bundle, inferior longitudinal fasciculus, as well as inferior frontal gyrus (IFG) pars opercularis, IFG orbitalis, IFG pars triangularis, tapetum, medial frontal gyrus, and middle frontal gyrus transcallosal tracts. While CSF Aβ42 was related to SCD scores in our cohort (Radj2 = 39.03%; β = -0.231; p = 0.020), competitive models revealed that fornix and IFG pars triangularis transcallosal tract RDT contributed unique variance to SCD scores beyond CSF Aβ42 (Radj2 = 44.35% and Radj2 = 43.09%, respectively), with several other tract measures demonstrating nominal significance. All tracts which demonstrated nominal significance (in addition to covariates) were input into a backwards stepwise regression analysis. ILF RDT, fornix RDT, and UF FW were best associated with SCD scores (Radj2 = 46.69%; p = 6.37 × 10-12). Ultimately, we found that medial temporal lobe and frontal transcallosal tract microstructure is an important driver of SCD scores independent of early amyloid deposition. Our results highlight the potential importance of abnormal white matter diffusivity as an early contributor to cognitive decline. These results also highlight the value of incorporating multiple biomarkers to help disentangle the mechanistic heterogeneity of SCD as an early stage of cognitive decline.
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Cacciamani F, Houot M, Gagliardi G, Dubois B, Sikkes S, Sánchez-Benavides G, Denicolò E, Molinuevo JL, Vannini P, Epelbaum S. Awareness of Cognitive Decline in Patients With Alzheimer's Disease: A Systematic Review and Meta-Analysis. Front Aging Neurosci 2021; 13:697234. [PMID: 34413767 PMCID: PMC8370471 DOI: 10.3389/fnagi.2021.697234] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Accepted: 06/22/2021] [Indexed: 11/13/2022] Open
Abstract
Background: Identifying a poor degree of awareness of cognitive decline (ACD) could represent an early indicator of Alzheimer's disease (AD). Objectives: (1) to understand whether there is evidence of poor ACD in the pre-dementia stages of AD; (2) to summarize the main findings obtained investigating ACD in AD; (3) to propose a conceptual framework. Data Sources: We searched Scopus, Pubmed, and the reference lists for studies published up to August 2020. Original research articles must report a measure of ACD and included individuals with AD dementia, or prodromal AD (or MCI), or being at risk for AD. Data Synthesis: All studies covering preclinical, prodromal, and AD dementia were systematically reviewed. We intended to perform a meta-analysis of empirical studies on preclinical AD or prodromal AD (or MCI), to compare ACD between clinical groups. Due to the paucity of literature on preclinical AD, meta-analysis was only possible for prodromal AD (or MCI) studies. Results: We systematically reviewed 283 articles, and conducted a meta-analysis of 18 articles on prodromal AD (or MCI), showing that ACD was not significantly different between patients with amnestic and non-amnestic MCI (SMD = 0.09, p = 0.574); ACD was significantly poorer in amnestic MCI (SMD = -0.56, p = 0.001) and mild AD (SMD = -1.39, p < 0.001) than in controls; ACD was also significantly poorer in mild AD than in amnestic MCI (SMD = -0.75, p < 0.001), as well as poorer than in non-amnestic MCI (SMD = -1.00, p < 0.001). We also discuss key findings on ACD in AD, such as its neural and cognitive correlates. Conclusions and Implications: We propose that patients may be complaining of their initial subtle cognitive changes, but ACD would soon start to decrease. The individual would show mild anosognosia in the MCI stage, and severe anosognosia in dementia. The evaluation of ACD (comparing self-report to cognitive scores or to informant-report) could be useful to guide the clinician toward a timely diagnosis, and in trials targeting early-stage AD.
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Affiliation(s)
- Federica Cacciamani
- Institut du Cerveau, ICM, Hôpital de la Pitié-Salpêtrière, Paris, France
- Inserm, U 1127, Paris, France
- CNRS, UMR 7225, Paris, France
- Sorbonne Université, Paris, France
- Inria, ARAMIS-Project Team, Paris, France
| | - Marion Houot
- Institut du Cerveau, ICM, Hôpital de la Pitié-Salpêtrière, Paris, France
- Sorbonne Université, Paris, France
- Institute of Memory and Alzheimer's Disease (IM2A), Centre of Excellence of Neurodegenerative Disease (CoEN), ICM, CIC Neurosciences, AP-HP, Department of Neurology, Hôpital de la Pitié-Salpêtrière, Sorbonne University, Paris, France
| | - Geoffroy Gagliardi
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
- Department of Neurology, Center for Alzheimer Research and Treatment, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States
| | - Bruno Dubois
- Institut du Cerveau, ICM, Hôpital de la Pitié-Salpêtrière, Paris, France
- Inserm, U 1127, Paris, France
- CNRS, UMR 7225, Paris, France
- Sorbonne Université, Paris, France
- Institute of Memory and Alzheimer's Disease (IM2A), Centre of Excellence of Neurodegenerative Disease (CoEN), ICM, CIC Neurosciences, AP-HP, Department of Neurology, Hôpital de la Pitié-Salpêtrière, Sorbonne University, Paris, France
| | - Sietske Sikkes
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Amsterdam University Medical Center (UMC), Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Gonzalo Sánchez-Benavides
- BarcelonaBeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain
| | - Elena Denicolò
- Department of Biomedical Science and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - José Luis Molinuevo
- BarcelonaBeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
| | - Patrizia Vannini
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
- Department of Neurology, Center for Alzheimer Research and Treatment, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States
| | - Stéphane Epelbaum
- Institut du Cerveau, ICM, Hôpital de la Pitié-Salpêtrière, Paris, France
- Inserm, U 1127, Paris, France
- CNRS, UMR 7225, Paris, France
- Sorbonne Université, Paris, France
- Inria, ARAMIS-Project Team, Paris, France
- Institute of Memory and Alzheimer's Disease (IM2A), Centre of Excellence of Neurodegenerative Disease (CoEN), ICM, CIC Neurosciences, AP-HP, Department of Neurology, Hôpital de la Pitié-Salpêtrière, Sorbonne University, Paris, France
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11
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Ma YH, Wang YY, Tan L, Xu W, Shen XN, Wang HF, Hou XH, Cao XP, Bi YL, Dong Q, Yang JL, Yu JT. Social Networks and Cerebrospinal Fluid Biomarkers of Alzheimer's Disease Pathology in Cognitively Intact Older Adults: The CABLE Study. J Alzheimers Dis 2021; 81:263-272. [PMID: 33749650 DOI: 10.3233/jad-201426] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Although social networks are deemed as moderators of incident Alzheimer's disease (AD), few data are available on the mechanism relevant to AD pathology. OBJECTIVE We aimed to investigate whether social networks affect metabolism of cerebrospinal fluid (CSF) AD biomarkers during early stage and identify modification effects of genetic factor and subjective cognitive decline (SCD). METHODS We studied participants from the Chinese Alzheimer's disease Biomarker and Lifestyle (CABLE) database who received cognition assessments and CSF amyloid-β (Aβ1-42 and Aβ1-40) and tau proteins (total-tau [T-tau] and phosphorylated-tau [P-tau]) measurements. The social networks were measured using self-reported questionnaires about social ties. Linear regression models were used. RESULTS Data were analyzed from 886 cognitively intact individuals aged 61.91 years (SD = 10.51), including 295 preclinical AD participants and 591 healthy controls. Social networks were mostly associated with CSF indicators of AD multi-pathologies (low P-tau/Aβ1-42 and T-tau/Aβ1-42 and high Aβ1-42/Aβ1-40). Significant differences of genetic and cognitive status were observed for CSF indicators, in which associations of social network scores with CSF P-tau and indicators of multi-pathologies appeared stronger in APOE 4 carriers (versus non-carriers) and participants with SCD (versus controls), respectively. Alternatively, more pronounced associations for CSF T-tau (β= -0.005, p < 0.001), Aβ1-42/Aβ1-40 (β= 0.481, p = 0.001), and T-tau/Aβ1-42 (β= -0.047, p < 0.001) were noted in preclinical AD stage than controls. CONCLUSION These findings consolidated strong links between social networks and AD risks. Social networks as a modifiable lifestyle probably affected metabolisms of multiple AD pathologies, especially among at-risk populations.
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Affiliation(s)
- Ya-Hui Ma
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Ya-Yu Wang
- Department of Neurology, Qingdao Municipal Hospital, Dalian Medical University, Dalian, China
| | - Lan Tan
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Wei Xu
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Xue-Ning Shen
- Department of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Hui-Fu Wang
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Xiao-He Hou
- Department of Neurology, Qingdao Municipal Hospital, Dalian Medical University, Dalian, China
| | - Xi-Peng Cao
- Clinical Research Center, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Yan-Lin Bi
- Department of Anesthesiology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Qiang Dong
- Department of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jiu-Long Yang
- Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Jin-Tai Yu
- Department of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
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12
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Yue L, Hu D, Zhang H, Wen J, Wu Y, Li W, Sun L, Li X, Wang J, Li G, Wang T, Shen D, Xiao S. Prediction of 7-year's conversion from subjective cognitive decline to mild cognitive impairment. Hum Brain Mapp 2020; 42:192-203. [PMID: 33030795 PMCID: PMC7721238 DOI: 10.1002/hbm.25216] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Revised: 09/11/2020] [Accepted: 09/14/2020] [Indexed: 11/16/2022] Open
Abstract
Subjective cognitive decline (SCD) is a high‐risk yet less understood status before developing Alzheimer's disease (AD). This work included 76 SCD individuals with two (baseline and 7 years later) neuropsychological evaluations and a baseline T1‐weighted structural MRI. A machine learning‐based model was trained based on 198 baseline neuroimaging (morphometric) features and a battery of 25 clinical measurements to discriminate 24 progressive SCDs who converted to mild cognitive impairment (MCI) at follow‐up from 52 stable SCDs. The SCD progression was satisfactorily predicted with the combined features. A history of stroke, a low education level, a low baseline MoCA score, a shrunk left amygdala, and enlarged white matter at the banks of the right superior temporal sulcus were found to favor the progression. This is to date the largest retrospective study of SCD‐to‐MCI conversion with the longest follow‐up, suggesting predictable far‐future cognitive decline for the risky populations with baseline measures only. These findings provide valuable knowledge to the future neuropathological studies of AD in its prodromal phase.
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Affiliation(s)
- Ling Yue
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Alzheimer's Disease and Related Disorders Center of Shanghai Jiaotong University, Shanghai, China
| | - Dan Hu
- Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Han Zhang
- Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Junhao Wen
- ARAMIS Lab, ICM, Inserm U1127, Paris, France.,CNRS UMR 7225, Paris, France.,Sorbonne University, Paris, France.,Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Ye Wu
- Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Wei Li
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Alzheimer's Disease and Related Disorders Center of Shanghai Jiaotong University, Shanghai, China
| | - Lin Sun
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Alzheimer's Disease and Related Disorders Center of Shanghai Jiaotong University, Shanghai, China
| | - Xia Li
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Alzheimer's Disease and Related Disorders Center of Shanghai Jiaotong University, Shanghai, China
| | - Jinghua Wang
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Alzheimer's Disease and Related Disorders Center of Shanghai Jiaotong University, Shanghai, China
| | - Guanjun Li
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Alzheimer's Disease and Related Disorders Center of Shanghai Jiaotong University, Shanghai, China
| | - Tao Wang
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Alzheimer's Disease and Related Disorders Center of Shanghai Jiaotong University, Shanghai, China
| | - Dinggang Shen
- Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.,Department of Brain and Cognitive Engineering, Korea University, Seongbuk-gu, Seoul, Republic of Korea
| | - Shifu Xiao
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Alzheimer's Disease and Related Disorders Center of Shanghai Jiaotong University, Shanghai, China
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13
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Jia F, Li Y, Li M, Cao F. Subjective Cognitive Decline, Cognitive Reserve Indicators, and the Incidence of Dementia. J Am Med Dir Assoc 2020; 22:1449-1455.e4. [PMID: 32967819 DOI: 10.1016/j.jamda.2020.08.005] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Revised: 08/04/2020] [Accepted: 08/08/2020] [Indexed: 11/19/2022]
Abstract
OBJECTIVE Both cognitive reserve and subjective cognitive decline are closely related to the risk of dementia. We investigated whether cognitive reserve can modify the risk of dementia developing from subjective cognitive decline. DESIGN Longitudinal population-based study. SETTING AND PARTICIPANTS The prospective study analyzed data from 2099 participants aged 65 or over from the Cognitive Function and Ageing Study-Wales (CFAS-Wales). METHODS Dementia was ascertained through the comprehensive judgment symptoms of geriatric mental state automated geriatric examination for computer assisted taxonomy (GMS-AGECAT). Subjective cognitive decline was evaluated by 2 questions in the baseline interview. Cognitive reserve indicators were derived from 3 previously identified factors: early life education, mid-life occupational complexity, and late-life cognitive activities. We used logistic regression models to estimate dementia risk in relation to subjective cognitive decline and indicators of cognitive reserve. The interaction between subjective cognitive decline and cognitive reserve were evaluated by additive and multiplicative scales. RESULTS Baseline subjective cognitive decline and low cognitive reserve significantly increased the risk of dementia, after 2 years of follow-up. There was an additive interaction between subjective cognitive decline and cognitive reserve [the relative excess risk due to interaction = -0.63, 95% confidence interval (CI) = -0.89 to -0.36, P for additive interaction <0.001]. There was no multiplicative interaction between subjective cognitive decline and cognitive reserve indicator (P = .138). Statistically significant association between subjective cognitive decline and dementia was found only in the low-level and medium-level cognitive reserve group (OR = 3.78, 95% CI = 1.50-9.55 and OR = 3.64, 95% CI = 1.09-12.2, respectively), but not in the high-level groups. CONCLUSION AND IMPLICATIONS Cognitive reserve attenuated subjective cognitive decline associated risk of developing dementia. This finding suggests the need for greater emphasis on detecting prodromal dementia when older patients having lower cognitive reserve present with subjective cognitive decline.
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Affiliation(s)
- Feifei Jia
- Department of Nursing Psychology, Nursing School, Shandong University, Jinan, China
| | - Yanyan Li
- Department of Nursing Psychology, Nursing School, Shandong University, Jinan, China
| | - Min Li
- Department of Gynecology, Qilu Hospital of Shandong University, Jinan, China
| | - Fenglin Cao
- Department of Nursing Psychology, Nursing School, Shandong University, Jinan, China.
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14
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Lee YC, Kang JM, Lee H, Kim K, Kim S, Yu TY, Lee EM, Kim CT, Kim DK, Lewis M, Won HH, Jessen F, Myung W. Subjective cognitive decline and subsequent dementia: a nationwide cohort study of 579,710 people aged 66 years in South Korea. ALZHEIMERS RESEARCH & THERAPY 2020; 12:52. [PMID: 32375880 PMCID: PMC7203882 DOI: 10.1186/s13195-020-00618-1] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/13/2019] [Accepted: 04/13/2020] [Indexed: 02/06/2023]
Abstract
Background Subjective cognitive decline (SCD) is a potential risk factor for dementia. We aimed to investigate the association between SCD and subsequent dementia in a nationwide population-based cohort in South Korea. Methods This cohort included 579,710 66-year-old adults who were followed for a total of 3,870,293 person-years (average 6.68 ± 1.33 years per person). All subjects completed a questionnaire about subjective memory impairment, the Pre-screening Korean Dementia Screening Questionnaire (KDSQ-P), which included a validated 5-item derivative, and were determined to have SCD based on a single question assessing memory decline. Depressive symptoms were assessed in all subjects using a 3-item modified geriatric depression scale. Hazard ratios were estimated using the Cox proportional hazards model and compared between subjects with and without SCD. Results Compared to subjects without SCD, those with SCD were more likely to develop dementia (incidence per 1000 person-years: non-SCD, 5.66; SCD, 8.59). After adjusting for potential confounding factors, the risk of subsequent dementia significantly increased in subjects with SCD, with an adjusted hazard ratio (aHR) of 1.38 (95% confidence interval [CI] 1.34 to 1.41). The risk of subsequent dementia was greatly increased in subjects with higher KDSQ-P scores (aHR = 2.77, 95% CI 2.35 to 3.27). A significant association between SCD and dementia was observed in both depressive and non-depressive symptom groups (aHR = 1.50, 95% CI 1.42 to 1.57 in subjects with depressive symptoms; aHR = 1.33, 95% CI 1.29 to 1.37 in subjects without depressive symptoms; P = 0.001). Conclusions In this population of 66-year-old individuals, SCD was significantly associated with an increased risk of subsequent dementia. This association was found in both depressive and non-depressive groups, with an increased risk of dementia in the presence of depressive symptoms. Our findings suggest that SCD indicates a risk for dementia. Further studies are needed to delineate potential approaches to preventing the development of dementia in individuals with SCD.
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Affiliation(s)
- Yeong Chan Lee
- Department of Neuropsychiatry, Seoul National University Bundang Hospital Hospital, 29 Gumi-ro 173 Beon-gil, Bundang-gu, Seongnam-si, 13619, Gyeonggi-do, Republic of Korea.,Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea
| | - Jae Myeong Kang
- Department of Psychiatry, Gil Medical Center, Gachon University College of Medicine, Incheon, Republic of Korea
| | - Hyewon Lee
- Department of Neuropsychiatry, Seoul National University Bundang Hospital Hospital, 29 Gumi-ro 173 Beon-gil, Bundang-gu, Seongnam-si, 13619, Gyeonggi-do, Republic of Korea.,Institute of Health and Environment, Seoul National University, Seoul, Republic of Korea
| | - Kiwon Kim
- Department of Psychiatry, Veteran Health Service Medical Center, Seoul, Republic of Korea
| | - Soyeon Kim
- Department of Neuropsychiatry, Seoul National University Bundang Hospital Hospital, 29 Gumi-ro 173 Beon-gil, Bundang-gu, Seongnam-si, 13619, Gyeonggi-do, Republic of Korea.,Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea
| | - Tae Yang Yu
- Division of Endocrinology and Metabolism, Department of Medicine, Wonkwang Medical Center, Wonkwang University School of Medicine, Iksan, Republic of Korea
| | - Eun-Mi Lee
- Department of Health Science, Dongduk Women's University, Seoul, Republic of Korea
| | - Clara Tammy Kim
- Institute of Life and Death Studies, Hallym University, Chuncheon, Gangwon-do, Republic of Korea
| | - Doh Kwan Kim
- Department of Psychiatry, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Matthew Lewis
- The Department of General Practice, Melbourne Medical School, The University of Melbourne, Melbourne, Victoria, Australia
| | - Hong-Hee Won
- Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea.
| | - Frank Jessen
- Department of Psychiatry, University of Cologne, Cologne, Germany
| | - Woojae Myung
- Department of Neuropsychiatry, Seoul National University Bundang Hospital Hospital, 29 Gumi-ro 173 Beon-gil, Bundang-gu, Seongnam-si, 13619, Gyeonggi-do, Republic of Korea.
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15
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Ruan Q, Xiao F, Gong K, Zhang W, Zhang M, Ruan J, Zhang X, Chen Q, Yu Z. Prevalence of Cognitive Frailty Phenotypes and Associated Factors in a Community-Dwelling Elderly Population. J Nutr Health Aging 2020; 24:172-180. [PMID: 32003407 DOI: 10.1007/s12603-019-1286-7] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
OBJECTIVES Cognitive frailty was notable target for the prevention of adverse health outcomes in future. The goal of this study was to use a population-based survey to investigate cognitive frailty phenotypes and potentially sociodemographic factors in elderly Chinese individuals. DESIGN Cross-sectional study. SETTING General community. PARTICIPANTS A total of 5328 elderly adults (aged 60 years or older, mean age 71.36 years) enrolled in the Shanghai study of health promotion for elderly individuals with frailty. MEASUREMENTS The 5-item FRAIL scale and the 3-item Rapid Cognitive Screen tools were used to assess physical frailty and cognitive impairment, including dementia or mild cognitive impairment (MCI). Physical frailty was diagnosed by limitations in 3 or more of the FRAIL scale domains and pre-physical frailty by 1-2 limitations. Subjective cognitive decline (SCD) and pre-MCI SCD, was diagnosed with two self-report measures based on memory and other cognitive domains in elderly adults. RESULTS Of the participating individuals, 97.17% (n= 5177, female 53.4%) were eligible. Notably, 9.67%, 41.61% and 35.20% of participants were MCI, SCD and pre-MCI SCD; 35.86% and 4.41% exhibited physical pre-frailty and frailty; and 19.86% and 6.30% exhibited reversible and potential reversible cognitive frailty. Logistic regression analyses indicated that physical frailty phenotypes were significantly associated with MCI with SCD, and pre-MCI with SCD. Older single females with a high education level were more likely to exhibit the reversible cognitive frailty; and younger elderly individuals with a middle education level were at lower risk for potentially reversible cognitive frailty. CONCLUSIONS The prevalence of pre-physical and reversible cognitive frailty was high in elderly individuals and age was the most significant risk factor for all types of frailty phenotypes. To promote the rapid screening protocol of cognitive frailty in community-dwelling elderly is important to find high-risk population, implement effective intervention, and decrease adverse prognosis.
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Affiliation(s)
- Q Ruan
- Dr Zhuowei Yu, Shanghai Institute of Geriatrics and Gerontology, Shanghai Key Laboratory of Clinical Geriatrics, Department of Geriatrics, Huadong Hospital, and Research Center of Aging and Medicine, Shanghai Medical College, Fudan University, 221 West Yan An Road, Shanghai 200040, P.R. China, Tel: 86-21-62483180 Fax: 86-21-62484981
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16
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Choo IH, Chong A, Chung JY, Kim H. Association of Subjective Memory Complaints with the Left Parahippocampal Amyloid Burden in Mild Cognitive Impairment. J Alzheimers Dis 2019; 72:1261-1268. [PMID: 31707367 DOI: 10.3233/jad-190816] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Subjective memory complaints (SMC) are a risk factor for Alzheimer's disease. OBJECTIVE We aimed to explore the association between SMC and regional amyloid-β (Aβ) deposition in mild cognitive impairment (MCI). METHODS Sixty-eight individuals with MCI were recruited. [18F]Florbetaben PET scans were performed. T1-weighted 3D volumes were also acquired for co-registration with PET and for defining the regions of interest (ROI). Two step exploratory partial correlation analyses between SMC and Aβ deposition were performed with covariates of age, sex, education, and depression. Furthermore, for the priori ROI that had the most significant partial correlation, we investigated the correlation between the SMC and regional Aβ burden using a multiple linear regression model controlling for depression, age, sex, and education. RESULTS Significant positive correlations between the SMC and Aβ burden was found in the medial temporal ROI (first step) and in the left parahippocampus ROI (second step). In the priori left parahippocampus, we found significant correlation between the SMC and Aβ burden (R2 = 0.473, p = 0.014). CONCLUSIONS Our study suggested that the SMC was associated with amyloid accumulation, especially in the left parahippocampus, in individuals with MCI.
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Affiliation(s)
- Il Han Choo
- Department of Neuropsychiatry, Chosun University and Chosun University Hospital, Gwangju, Republic of Korea
| | - Ari Chong
- Department of Nuclear Medicine, Chosun University and Chosun University Hospital, Gwangju, Republic of Korea
| | - Ji Yeon Chung
- Department of Neurology, Chosun University and Chosun University Hospital, Gwangju, Republic of Korea
| | - Hoowon Kim
- Department of Neurology, Chosun University and Chosun University Hospital, Gwangju, Republic of Korea
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17
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Showraki A, Murari G, Ismail Z, Barfett JJ, Fornazzari L, Munoz DG, Schweizer TA, Fischer CE. Cerebrospinal Fluid Correlates of Neuropsychiatric Symptoms in Patients with Alzheimer’s Disease/Mild Cognitive Impairment: A Systematic Review. J Alzheimers Dis 2019; 71:477-501. [DOI: 10.3233/jad-190365] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Affiliation(s)
- Alireza Showraki
- Keenan Research Centre for Biomedical Research, Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Toronto, ON, Canada
| | - Geetanjali Murari
- Keenan Research Centre for Biomedical Research, Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Toronto, ON, Canada
| | - Zahinoor Ismail
- Departments of Psychiatry and Neurology, Mathison Centre for Mental Health Research & Education, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Joseph J. Barfett
- Keenan Research Centre for Biomedical Research, Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Toronto, ON, Canada
- Department of Medical Imaging, St. Michael’s Hospital, Toronto, ON, Canada
| | - Luis Fornazzari
- Keenan Research Centre for Biomedical Research, Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Toronto, ON, Canada
- Division of Neurology, St. Michaels Hospital, University of Toronto, Toronto, ON, Canada
| | - David G. Munoz
- Keenan Research Centre for Biomedical Research, Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Toronto, ON, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
- Division of Pathology, St. Michael’s Hospital, Toronto, ON, Canada
| | - Tom A. Schweizer
- Keenan Research Centre for Biomedical Research, Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Toronto, ON, Canada
- Institute of Medical Sciences, University of Toronto, Toronto, ON, Canada
- Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, ON, Canada
- Division of Neurosurgery, Department of Surgery, Faculty of Medicine, University of Toronto, ON, Canada
- Division of Neurosurgery, St. Michael’s Hospital, Toronto, ON, Canada
| | - Corinne E. Fischer
- Keenan Research Centre for Biomedical Research, Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Toronto, ON, Canada
- Institute of Medical Sciences, University of Toronto, Toronto, ON, Canada
- Faculty of Medicine, Department of Psychiatry, University of Toronto, Toronto, ON, Canada
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18
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Miebach L, Wolfsgruber S, Frommann I, Fließbach K, Jessen F, Buckley R, Wagner M. Cognitive Complaints in Memory Clinic Patients and in Depressive Patients: An Interpretative Phenomenological Analysis. THE GERONTOLOGIST 2019; 59:290-302. [PMID: 29325011 DOI: 10.1093/geront/gnx208] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2017] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Cognitive complaints are discussed as early signs of Alzheimer's disease (AD). However, they are also very common in cognitively normal older adults and in patients with depression. Qualitative, interview-based approaches might be useful to identify those features of cognitive complaints specific for the experiences of cognitive decline in preclinical or prodromal AD versus those complaints typically reported by depressed patients. RESEARCH DESIGN AND METHODS A semi-structured interview was administered to 21 cognitively normal older adults (HC), 18 nondemented memory clinic patients (MC), and 11 patients with a major depression (MD), all above 55 years. Interpretative phenomenological analysis (IPA) was applied to the interview transcripts to develop emerging complaint themes in each group. To identify thematic correspondence and possibly novel, hitherto unappreciated themes, the extracted complaint categories were compared with the neurocognitive domains in the DSM-5 and the content of the Everyday Cognition questionnaire (E-Cog). RESULTS IPA yielded 18 cognitive complaint categories in MC, 10 in depressive patients, and 10 categories in the HC group. Several themes were common across groups, but some were group-specific, for example, spatial disorientation was only reported in MC patients. Some of these MC-specific themes were neither represented by DSM-5 domains nor by the E-Cog. DISCUSSION AND IMPLICATIONS We report a comprehensive qualitative description of cognitive complaints in old age which could help to develop questionnaires or structured interviews to better assess AD-related subjective cognitive decline. This may help to increase specificity in selecting high-risk subjects in research settings and improve clinical judgment of diverse cognitive complaints types mentioned by their patients.
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Affiliation(s)
- Lisa Miebach
- Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Germany.,DZNE, German Center for Neurodegenerative Diseases, Bonn, Germany
| | - Steffen Wolfsgruber
- Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Germany.,DZNE, German Center for Neurodegenerative Diseases, Bonn, Germany
| | - Ingo Frommann
- Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Germany.,DZNE, German Center for Neurodegenerative Diseases, Bonn, Germany
| | - Klaus Fließbach
- Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Germany.,DZNE, German Center for Neurodegenerative Diseases, Bonn, Germany
| | - Frank Jessen
- DZNE, German Center for Neurodegenerative Diseases, Bonn, Germany.,Department of Psychiatry, University Hospital Cologne, Germany
| | - Rachel Buckley
- Melbourne School of Psychological Sciences, University of Melbourne, Australia.,Harvard Medical School, Massachusetts General Hospital, Boston
| | - Michael Wagner
- Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Germany.,DZNE, German Center for Neurodegenerative Diseases, Bonn, Germany
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19
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Miebach L, Wolfsgruber S, Polcher A, Peters O, Menne F, Luther K, Incesoy E, Priller J, Spruth E, Altenstein S, Buerger K, Catak C, Janowitz D, Perneczky R, Utecht J, Laske C, Buchmann M, Schneider A, Fliessbach K, Kalbhen P, Heneka MT, Brosseron F, Spottke A, Roy N, Teipel SJ, Kilimann I, Wiltfang J, Bartels C, Düzel E, Dobisch L, Metzger C, Meiberth D, Ramirez A, Jessen F, Wagner M. Which features of subjective cognitive decline are related to amyloid pathology? Findings from the DELCODE study. ALZHEIMERS RESEARCH & THERAPY 2019; 11:66. [PMID: 31366409 PMCID: PMC6668160 DOI: 10.1186/s13195-019-0515-y] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/15/2019] [Accepted: 07/02/2019] [Indexed: 12/14/2022]
Abstract
Background Subjective cognitive decline (SCD) has been proposed as a pre-MCI at-risk condition of Alzheimer’s disease (AD). Current research is focusing on a refined assessment of specific SCD features associated with increased risk for AD, as proposed in the SCD-plus criteria. We developed a structured interview (SCD-I) for the assessment of these features and tested their relationship with AD biomarkers. Methods We analyzed data of 205 cognitively normal participants of the DELCODE study (mean age = 68.9 years; 52% female) with available CSF AD biomarkers (Aß-42, p-Tau181, Aß-42/Tau ratio, total Tau). For each of five cognitive domains (including memory, language, attention, planning, others), a study physician asked participants about the following SCD-plus features: the presence of subjective decline, associated worries, onset of SCD, feeling of worse performance than others of the same age group, and informant confirmation. We compared AD biomarkers of subjects endorsing each of these questions with those who did not, controlling for age. SCD was also quantified by two summary scores: the number of fulfilled SCD-plus features, and the number of domains with experienced decline. Covariate-adjusted linear regression analyses were used to test whether these SCD scores predicted abnormality in AD biomarkers. Results Lower Aß-42 levels were associated with a reported decline in memory and language abilities, and with the following SCD-plus features: onset of subjective decline within 5 years, confirmation of cognitive decline by an informant, and decline-related worries. Furthermore, both quantitative SCD scores were associated with lower Aß42 and lower Aß42/Tau ratio, but not with total Tau or p-Tau181. Conclusions Findings support the usefulness of a criterion-based interview approach to assess and quantify SCD in the context of AD and validate the current SCD-plus features as predictors of AD pathology. While some features seem to be more closely associated with AD biomarkers than others, aggregated scores over several SCD-plus features or SCD domains may be the best predictors of AD pathology. Electronic supplementary material The online version of this article (10.1186/s13195-019-0515-y) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Lisa Miebach
- German Center for Neurodegenerative Diseases/Clinical Research, Deutsches Zentrum für Neurodegenerative Erkrankungen e.V. (DZNE), Zentrum für klinische Forschung/AG Neuropsychologie, Sigmund-Freud-Str. 27, 53127, Bonn, Germany. .,Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Sigmund-Freud-Str. 27, 53127, Bonn, Germany.
| | - Steffen Wolfsgruber
- German Center for Neurodegenerative Diseases/Clinical Research, Deutsches Zentrum für Neurodegenerative Erkrankungen e.V. (DZNE), Zentrum für klinische Forschung/AG Neuropsychologie, Sigmund-Freud-Str. 27, 53127, Bonn, Germany.,Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Sigmund-Freud-Str. 27, 53127, Bonn, Germany
| | - Alexandra Polcher
- German Center for Neurodegenerative Diseases/Clinical Research, Deutsches Zentrum für Neurodegenerative Erkrankungen e.V. (DZNE), Zentrum für klinische Forschung/AG Neuropsychologie, Sigmund-Freud-Str. 27, 53127, Bonn, Germany.,Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Sigmund-Freud-Str. 27, 53127, Bonn, Germany
| | - Oliver Peters
- Institute of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Berlin, Germany.,German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany
| | - Felix Menne
- Institute of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Berlin, Germany.,German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany
| | - Katja Luther
- Institute of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Enise Incesoy
- Institute of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Josef Priller
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany.,Department of Psychiatry and Psychotherapy, Charité, Berlin, Germany
| | - Eike Spruth
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany.,Department of Psychiatry and Psychotherapy, Charité, Berlin, Germany
| | - Slawek Altenstein
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany.,Department of Psychiatry and Psychotherapy, Charité, Berlin, Germany
| | - Katharina Buerger
- Institute for Stroke and Dementia Research (ISD), LMU Munich, Munich, Germany.,German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Cihan Catak
- Institute for Stroke and Dementia Research (ISD), LMU Munich, Munich, Germany
| | - Daniel Janowitz
- Institute for Stroke and Dementia Research (ISD), LMU Munich, Munich, Germany
| | - Robert Perneczky
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany.,Ludwig-Maximilians-Universität München, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy) Munich, Munich, Germany.,Neuroepidemiology and Ageing Research Unit, School of Public Health, Imperial College London, London, UK
| | - Julia Utecht
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany.,Ludwig-Maximilians-Universität München, Munich, Germany
| | - Christoph Laske
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany.,Hertie-Institute for Clinical Brain Research, Tübingen, Germany
| | - Martina Buchmann
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany.,Hertie-Institute for Clinical Brain Research, Tübingen, Germany
| | - Anja Schneider
- German Center for Neurodegenerative Diseases/Clinical Research, Deutsches Zentrum für Neurodegenerative Erkrankungen e.V. (DZNE), Zentrum für klinische Forschung/AG Neuropsychologie, Sigmund-Freud-Str. 27, 53127, Bonn, Germany.,Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Sigmund-Freud-Str. 27, 53127, Bonn, Germany
| | - Klaus Fliessbach
- German Center for Neurodegenerative Diseases/Clinical Research, Deutsches Zentrum für Neurodegenerative Erkrankungen e.V. (DZNE), Zentrum für klinische Forschung/AG Neuropsychologie, Sigmund-Freud-Str. 27, 53127, Bonn, Germany.,Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Sigmund-Freud-Str. 27, 53127, Bonn, Germany
| | - Pascal Kalbhen
- Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Sigmund-Freud-Str. 27, 53127, Bonn, Germany
| | - Michael T Heneka
- German Center for Neurodegenerative Diseases/Clinical Research, Deutsches Zentrum für Neurodegenerative Erkrankungen e.V. (DZNE), Zentrum für klinische Forschung/AG Neuropsychologie, Sigmund-Freud-Str. 27, 53127, Bonn, Germany.,Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Sigmund-Freud-Str. 27, 53127, Bonn, Germany
| | - Frederic Brosseron
- German Center for Neurodegenerative Diseases/Clinical Research, Deutsches Zentrum für Neurodegenerative Erkrankungen e.V. (DZNE), Zentrum für klinische Forschung/AG Neuropsychologie, Sigmund-Freud-Str. 27, 53127, Bonn, Germany.,Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Sigmund-Freud-Str. 27, 53127, Bonn, Germany
| | - Annika Spottke
- German Center for Neurodegenerative Diseases/Clinical Research, Deutsches Zentrum für Neurodegenerative Erkrankungen e.V. (DZNE), Zentrum für klinische Forschung/AG Neuropsychologie, Sigmund-Freud-Str. 27, 53127, Bonn, Germany.,Department of Neurology, University of Bonn, Bonn, Germany
| | - Nina Roy
- German Center for Neurodegenerative Diseases/Clinical Research, Deutsches Zentrum für Neurodegenerative Erkrankungen e.V. (DZNE), Zentrum für klinische Forschung/AG Neuropsychologie, Sigmund-Freud-Str. 27, 53127, Bonn, Germany
| | - Stefan J Teipel
- Department of Psychosomatic Medicine, University of Medicine, Rostock, Germany.,German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany
| | - Ingo Kilimann
- Department of Psychosomatic Medicine, University of Medicine, Rostock, Germany.,German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany
| | - Jens Wiltfang
- German Center for Neurodegenerative Diseases (DZNE), Goettingen, Germany.,Department of Psychiatry and Psychotherapy, University of Göttingen, Göttingen, Germany
| | - Claudia Bartels
- German Center for Neurodegenerative Diseases (DZNE), Goettingen, Germany.,Department of Psychiatry and Psychotherapy, University of Göttingen, Göttingen, Germany
| | - Emrah Düzel
- Institute of Cognitive Neurology and Dementia Research (IKND), Otto-von-Guericke University, Magdeburg, Germany.,German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - Laura Dobisch
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - Coraline Metzger
- Institute of Cognitive Neurology and Dementia Research (IKND), Otto-von-Guericke University, Magdeburg, Germany.,German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany.,Department of Psychiatry and Psychotherapy, Otto-von-Guericke University, Magdeburg, Germany
| | - Dix Meiberth
- German Center for Neurodegenerative Diseases/Clinical Research, Deutsches Zentrum für Neurodegenerative Erkrankungen e.V. (DZNE), Zentrum für klinische Forschung/AG Neuropsychologie, Sigmund-Freud-Str. 27, 53127, Bonn, Germany.,Department of Psychiatry, Medical Faculty, University of Cologne, Cologne, Germany
| | - Alfredo Ramirez
- Department of Psychiatry, Medical Faculty, University of Cologne, Cologne, Germany
| | - Frank Jessen
- German Center for Neurodegenerative Diseases/Clinical Research, Deutsches Zentrum für Neurodegenerative Erkrankungen e.V. (DZNE), Zentrum für klinische Forschung/AG Neuropsychologie, Sigmund-Freud-Str. 27, 53127, Bonn, Germany.,Department of Psychiatry, Medical Faculty, University of Cologne, Cologne, Germany
| | - Michael Wagner
- German Center for Neurodegenerative Diseases/Clinical Research, Deutsches Zentrum für Neurodegenerative Erkrankungen e.V. (DZNE), Zentrum für klinische Forschung/AG Neuropsychologie, Sigmund-Freud-Str. 27, 53127, Bonn, Germany.,Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Sigmund-Freud-Str. 27, 53127, Bonn, Germany
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20
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Cosentino S, Devanand D, Gurland B. A Link between Subjective Perceptions of Memory and Physical Function: Implications for Subjective Cognitive Decline. J Alzheimers Dis 2019; 61:1387-1398. [PMID: 29376850 DOI: 10.3233/jad-170495] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Subjective impairment in memory is a frequently defining feature of subjective cognitive decline (SCD), a state hypothesized to precede objectively apparent cognitive symptoms of Alzheimer's disease (AD) and to hold promise as a non-invasive, inexpensive, preclinical indicator of AD. However, a full model of the factors that contribute to subjective memory (SM), and therefore to SCD, has yet to be articulated. While SM impairment is widely known to be associated with negative affect, the extent to which SM functioning may also reflect other factors, particularly subjective beliefs or perceptions about one's health, is not known. To examine the extent to which SM is associated with subjective perceptions of health more broadly, the current study investigated the link between SM and subjective physical functioning (independent of depressive affect, and objective cognitive and physical function) in an ethnically diverse sample of 471 older adults enrolled in the population-based Northern Manhattan Aging Project. 199 (42%) participants endorsed no difficulty on a 5-point SM index while 272 (58%) endorsed some degree of difficulty. As hypothesized, SM correlated with both depression and subjective physical function, but not with age, education, global cognition, or objective physical function. When objective and subjective physical function were entered in two separate, adjusted linear regressions predicting SM, only subjective physical function and depressive affect independently predicted SM. Subjective perceptions of memory appear to reflect individuals' broader health perceptions in part. Articulating the various correlates of SM will improve identification of SCD specific to preclinical AD.
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Affiliation(s)
- Stephanie Cosentino
- Cognitive Neuroscience Division, Department of Neurology, G.H. Sergievsky Center, and Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Medical Center, New York, NY, USA.,Morris W. Stroud III Center for the Study of Quality of Life, Columbia University Medical Center, New York, NY, USA
| | - Davangere Devanand
- Morris W. Stroud III Center for the Study of Quality of Life, Columbia University Medical Center, New York, NY, USA.,Division of Geriatric Psychiatry, Department of Psychiatry, Columbia University and New York State Psychiatric Institute, New York, NY, USA
| | - Barry Gurland
- Morris W. Stroud III Center for the Study of Quality of Life, Columbia University Medical Center, New York, NY, USA
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21
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Subjective cognitive decline: preclinical manifestation of Alzheimer's disease. Neurol Sci 2018; 40:41-49. [PMID: 30397816 DOI: 10.1007/s10072-018-3620-y] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2018] [Accepted: 10/24/2018] [Indexed: 10/27/2022]
Abstract
Subjective cognitive decline (SCD), characterized by a very early and subtle cognitive decline prior to the appearance of objective cognitive impairment, is considered to be the preclinical manifestation of Alzheimer's disease (AD). Given the lack of significant abnormalities in standardized neuropsychological assessments for individuals with SCD, biochemical and neuroimaging biomarkers may be important indicators of the preclinical stage of AD. The application of various biomarkers derived from the cerebrospinal fluid and neuroimaging thus has the potential to make AD-related pathology detectable in vivo. In this review, we discuss the conceptual evolution of SCD as an entity and further elucidate characteristic cerebrospinal fluid and neuroimaging biomarkers of SCD.
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22
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Lewczuk P, Riederer P, O’Bryant SE, Verbeek MM, Dubois B, Visser PJ, Jellinger KA, Engelborghs S, Ramirez A, Parnetti L, Jack CR, Teunissen CE, Hampel H, Lleó A, Jessen F, Glodzik L, de Leon MJ, Fagan AM, Molinuevo JL, Jansen WJ, Winblad B, Shaw LM, Andreasson U, Otto M, Mollenhauer B, Wiltfang J, Turner MR, Zerr I, Handels R, Thompson AG, Johansson G, Ermann N, Trojanowski JQ, Karaca I, Wagner H, Oeckl P, van Waalwijk van Doorn L, Bjerke M, Kapogiannis D, Kuiperij HB, Farotti L, Li Y, Gordon BA, Epelbaum S, Vos SJB, Klijn CJM, Van Nostrand WE, Minguillon C, Schmitz M, Gallo C, Mato AL, Thibaut F, Lista S, Alcolea D, Zetterberg H, Blennow K, Kornhuber J, Riederer P, Gallo C, Kapogiannis D, Mato AL, Thibaut F. Cerebrospinal fluid and blood biomarkers for neurodegenerative dementias: An update of the Consensus of the Task Force on Biological Markers in Psychiatry of the World Federation of Societies of Biological Psychiatry. World J Biol Psychiatry 2018; 19:244-328. [PMID: 29076399 PMCID: PMC5916324 DOI: 10.1080/15622975.2017.1375556] [Citation(s) in RCA: 180] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
In the 12 years since the publication of the first Consensus Paper of the WFSBP on biomarkers of neurodegenerative dementias, enormous advancement has taken place in the field, and the Task Force takes now the opportunity to extend and update the original paper. New concepts of Alzheimer's disease (AD) and the conceptual interactions between AD and dementia due to AD were developed, resulting in two sets for diagnostic/research criteria. Procedures for pre-analytical sample handling, biobanking, analyses and post-analytical interpretation of the results were intensively studied and optimised. A global quality control project was introduced to evaluate and monitor the inter-centre variability in measurements with the goal of harmonisation of results. Contexts of use and how to approach candidate biomarkers in biological specimens other than cerebrospinal fluid (CSF), e.g. blood, were precisely defined. Important development was achieved in neuroimaging techniques, including studies comparing amyloid-β positron emission tomography results to fluid-based modalities. Similarly, development in research laboratory technologies, such as ultra-sensitive methods, raises our hopes to further improve analytical and diagnostic accuracy of classic and novel candidate biomarkers. Synergistically, advancement in clinical trials of anti-dementia therapies energises and motivates the efforts to find and optimise the most reliable early diagnostic modalities. Finally, the first studies were published addressing the potential of cost-effectiveness of the biomarkers-based diagnosis of neurodegenerative disorders.
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Affiliation(s)
- Piotr Lewczuk
- Department of Psychiatry and Psychotherapy, Universitätsklinikum Erlangen, and Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany
- Department of Neurodegeneration Diagnostics, Medical University of Białystok, and Department of Biochemical Diagnostics, University Hospital of Białystok, Białystok, Poland
| | - Peter Riederer
- Center of Mental Health, Clinic and Policlinic of Psychiatry, Psychosomatics and Psychotherapy, University Hospital Würzburg, Würzburg, Germany
| | - Sid E. O’Bryant
- Institute for Healthy Aging, University of North Texas Health Science Center, Fort Worth, TX, USA
| | - Marcel M. Verbeek
- Department of Neurology, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer Center, Nijmegen, The Netherlands
- Department of Laboratory Medicine, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer center, Nijmegen, The Netherlands
| | - Bruno Dubois
- Institut de la Mémoire et de la Maladie d’Alzheimer (IM2A), Salpêtrièrie Hospital, INSERM UMR-S 975 (ICM), Paris 6 University, Paris, France
| | - Pieter Jelle Visser
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht University, Maastricht, The Netherlands
- Department of Neurology, Alzheimer Centre, Amsterdam Neuroscience VU University Medical Centre, Amsterdam, The Netherlands
| | | | - Sebastiaan Engelborghs
- Reference Center for Biological Markers of Dementia (BIODEM), University of Antwerp, Antwerp, Belgium
- Department of Neurology and Memory Clinic, Hospital Network Antwerp (ZNA) Middelheim and Hoge Beuken, Antwerp, Belgium
| | - Alfredo Ramirez
- Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Department of Psychiatry and Psychotherapy, University of Cologne, Cologne, Germany
| | - Lucilla Parnetti
- Section of Neurology, Center for Memory Disturbances, Lab of Clinical Neurochemistry, University of Perugia, Perugia, Italy
| | | | - Charlotte E. Teunissen
- Neurochemistry Lab and Biobank, Department of Clinical Chemistry, Amsterdam Neuroscience, VU University Medical Center Amsterdam, Amsterdam, The Netherlands
| | - Harald Hampel
- AXA Research Fund & UPMC Chair, Sorbonne Universités, Université Pierre et Marie Curie (UPMC) Paris 06, Inserm, CNRS, Institut du Cerveau et de la Moelle Épinière (ICM), Département de Neurologie, Institut de la Mémoire et de la Maladie d’Alzheimer (IM2A), Hôpital Pitié-Salpêtrière, Boulevard de l’hôpital, Paris, France
| | - Alberto Lleó
- Department of Neurology, Institut d’Investigacions Biomèdiques Sant Pau - Hospital de Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, CIBERNED, Spain
| | - Frank Jessen
- Department of Psychiatry and Psychotherapy, University of Cologne, Cologne, Germany
- German Center for Neurodegenerative Disorders (DZNE), Bonn, Germany
| | - Lidia Glodzik
- Center for Brain Health, Department of Psychiatry, NYU Langone Medical Center, New York, NY, USA
| | - Mony J. de Leon
- Center for Brain Health, Department of Psychiatry, NYU Langone Medical Center, New York, NY, USA
| | - Anne M. Fagan
- Knight Alzheimer’s Disease Research Center, Washington University School of Medicine, Saint Louis, MO, USA
- Department of Neurology, Washington University School of Medicine, Saint Louis, MO, USA
| | - José Luis Molinuevo
- Barcelonabeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain
- Alzheimer’s Disease and Other Cognitive Disorders Unit, Hospital Clínic, Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Willemijn J. Jansen
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht University, Maastricht, The Netherlands
| | - Bengt Winblad
- Karolinska Institutet, Department NVS, Center for Alzheimer Research, Division of Neurogeriatrics, Huddinge, Sweden
| | - Leslie M. Shaw
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Ulf Andreasson
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Markus Otto
- Department of Neurology, University of Ulm, Ulm, Germany
| | - Brit Mollenhauer
- Paracelsus-Elena-Klinik, Kassel and University Medical Center Göttingen, Department of Neurology, Göttingen, Germany
| | - Jens Wiltfang
- Department of Psychiatry & Psychotherapy, University of Göttingen, Göttingen, Germany
- German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany
- iBiMED, Medical Sciences Department, University of Aveiro, Aveiro, Portugal
| | - Martin R. Turner
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Inga Zerr
- German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany
- Clinical Dementia Centre, Department of Neurology, University Medical School, Göttingen, Germany
| | - Ron Handels
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht University, Maastricht, The Netherlands
- Karolinska Institutet, Department NVS, Center for Alzheimer Research, Division of Neurogeriatrics, Huddinge, Sweden
| | | | - Gunilla Johansson
- Karolinska Institutet, Department NVS, Center for Alzheimer Research, Division of Neurogeriatrics, Huddinge, Sweden
| | - Natalia Ermann
- Department of Psychiatry and Psychotherapy, Universitätsklinikum Erlangen, and Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany
| | - John Q. Trojanowski
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Ilker Karaca
- Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
| | - Holger Wagner
- Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
| | - Patrick Oeckl
- Department of Neurology, University of Ulm, Ulm, Germany
| | - Linda van Waalwijk van Doorn
- Department of Neurology, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer Center, Nijmegen, The Netherlands
- Department of Laboratory Medicine, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer center, Nijmegen, The Netherlands
| | - Maria Bjerke
- Reference Center for Biological Markers of Dementia (BIODEM), University of Antwerp, Antwerp, Belgium
| | - Dimitrios Kapogiannis
- Laboratory of Neurosciences, National Institute on Aging/National Institutes of Health (NIA/NIH), Baltimore, MD, USA
| | - H. Bea Kuiperij
- Department of Neurology, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer Center, Nijmegen, The Netherlands
- Department of Laboratory Medicine, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer center, Nijmegen, The Netherlands
| | - Lucia Farotti
- Section of Neurology, Center for Memory Disturbances, Lab of Clinical Neurochemistry, University of Perugia, Perugia, Italy
| | - Yi Li
- Center for Brain Health, Department of Psychiatry, NYU Langone Medical Center, New York, NY, USA
| | - Brian A. Gordon
- Knight Alzheimer’s Disease Research Center, Washington University School of Medicine, Saint Louis, MO, USA
- Department of Radiology, Washington University School of Medicine, Saint Louis, MO, USA
| | - Stéphane Epelbaum
- Institut de la Mémoire et de la Maladie d’Alzheimer (IM2A), Salpêtrièrie Hospital, INSERM UMR-S 975 (ICM), Paris 6 University, Paris, France
| | - Stephanie J. B. Vos
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht University, Maastricht, The Netherlands
| | - Catharina J. M. Klijn
- Department of Neurology, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer Center, Nijmegen, The Netherlands
| | | | - Carolina Minguillon
- Barcelonabeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain
| | - Matthias Schmitz
- German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany
- Clinical Dementia Centre, Department of Neurology, University Medical School, Göttingen, Germany
| | - Carla Gallo
- Departamento de Ciencias Celulares y Moleculares/Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Andrea Lopez Mato
- Chair of Psychoneuroimmunoendocrinology, Maimonides University, Buenos Aires, Argentina
| | - Florence Thibaut
- Department of Psychiatry, University Hospital Cochin-Site Tarnier 89 rue d’Assas, INSERM 894, Faculty of Medicine Paris Descartes, Paris, France
| | - Simone Lista
- AXA Research Fund & UPMC Chair, Sorbonne Universités, Université Pierre et Marie Curie (UPMC) Paris 06, Inserm, CNRS, Institut du Cerveau et de la Moelle Épinière (ICM), Département de Neurologie, Institut de la Mémoire et de la Maladie d’Alzheimer (IM2A), Hôpital Pitié-Salpêtrière, Boulevard de l’hôpital, Paris, France
| | - Daniel Alcolea
- Department of Neurology, Institut d’Investigacions Biomèdiques Sant Pau - Hospital de Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, CIBERNED, Spain
| | - Henrik Zetterberg
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Department of Molecular Neuroscience, UCL Institute of Neurology, London, UK
| | - Kaj Blennow
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Johannes Kornhuber
- Department of Psychiatry and Psychotherapy, Universitätsklinikum Erlangen, and Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany
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Different Cognitive Complaint Profiles in Memory Clinic and Depressive Patients. Am J Geriatr Psychiatry 2018; 26:463-475. [PMID: 29224729 DOI: 10.1016/j.jagp.2017.10.018] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2017] [Revised: 09/22/2017] [Accepted: 10/31/2017] [Indexed: 11/23/2022]
Abstract
OBJECTIVE Cognitive complaints are considered early indicators of incipient Alzheimer's disease (AD) but are very common in geriatric patients, especially in patients with major depressive disorder (MDD). The clinical assessment of cognitive complaints is still poorly operationalized. Recent qualitative research suggests that certain phenomenologic complaint themes may have some specificity for prodromal AD. The aim of the study was to replicate and explore their occurrence in a clinical setting. METHODS In a cross-sectional, case-control study using a mixed-methods approach, 23 memory clinic (cognitive complainers [CC]) patients, 21 psychiatric inpatients with MDD, and 21 healthy control subjects, aged 55-86 years, were assessed at the Department of Psychiatry and Psychotherapy and German Center for Neurodegenerative Diseases, Bonn. A newly developed semistructured interview addressing 12 complaint themes was used, and transcribed open format responses were coded by qualitative expert rating (theme absent versus present) and compared between the groups. RESULTS Seven complaint themes (e.g., sense of predomination, progression) were significantly more often endorsed by the CC group, together with a novel theme of "distractible speech." Complaint themes in those with depression aligned with the depressive symptoms and appeared to be partly different from the complaint pattern of the CC group. CONCLUSION Previously established themes were found to be feasible for conversion into a semistructured interview. Several complaint phenotypes were confirmed and previous themes significantly expanded by providing first evidence for a qualitatively different complaint profile in MDD compared with CC. Future investigations may benefit from better characterizing the phenomenologic and qualitative characteristics of AD-related complaints.
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24
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Criterion-related validity of self-reported stair climbing in older adults. Aging Clin Exp Res 2018; 30:199-203. [PMID: 28417243 DOI: 10.1007/s40520-017-0761-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2017] [Accepted: 04/10/2017] [Indexed: 10/19/2022]
Abstract
INTRODUCTION Stair climbing is an activity of daily living that might contribute to increase levels of physical activity (PA). To date, there is no study examining the validity of climbing stairs assessed by self-report. The aim of this study was, therefore, to examine the validity of estimated stair climbing from one question included in a common questionnaire compared to a pattern-recognition activity monitor in older adults. METHODS A total of 138 older adults (94 women), aged 65-86 years (70.9 ± 4.7 years), from the IMPACT65 + study participated in this validity study. Estimates of stair climbing were obtained from the European Prospective Investigation into Cancer and Nutrition (EPIC) PA questionnaire. An objective assessment of stair climbing was obtained with the Intelligent Device for Energy Expenditure and Activity (IDEEA) monitor. RESULTS The correlation between both methods to assess stair climbing was fair (ρ = 0.22, p = 0.008 for PA energy expenditure and ρ = 0.26, p = 0.002 for duration). Mean differences between self-report and the IDEEA were 7.96 ± 10.52 vs. 9.88 ± 3.32 METs-min/day for PA energy expenditure, and 0.99 ± 1.32 vs. 1.79 ± 2.02 min/day for duration (both Wilcoxon test p < 0.001). Results from the Bland-Altman analysis indicate that bias between both instruments were -1.91 ± 10.30 METs-min/day and -0.80 ± 1.99 min/day, and corresponding limits of agreement for the two instruments were from 18.27 to -22.10 METs-min/day and from 3.09 to -4.70 min/day, respectively. CONCLUSION Our results indicate that self-reported stair climbing has modest validity to accurately rank old age participants, and underestimates both PAEE and its duration, as compared with an objectively measured method.
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25
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Brown EE, Iwata Y, Chung JK, Gerretsen P, Graff-Guerrero A. Tau in Late-Life Depression: A Systematic Review and Meta-Analysis. J Alzheimers Dis 2018; 54:615-33. [PMID: 27497481 DOI: 10.3233/jad-160401] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
A lifetime history of major depressive disorder (MDD) increases the risk of developing Alzheimer's disease, of which neurofibrillary tangles due to abnormal tau proteins are a hallmark. We systematically reviewed the literature on tau in MDD and identified 49 relevant articles spanning a number of modalities, including cerebrospinal fluid (CSF) analysis, positron emission tomography, and clinicopathological correlation. We compared CSF total and phosphorylated tau proteins in MDD and controls using a meta-analytic approach. We found no difference in total or phosphorylated tau in MDD. We also found no difference in a comparison of a subgroup excluding studies with significant age differences. Positron emission tomography studies lacked specificity. Clinicopathological studies failed to associate neurofibrillary tangles with MDD. The available data on tau in MDD is limited. The involvement of tau in a subset of MDD cannot be ruled out and requires prospective exploration.
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Affiliation(s)
- Eric E Brown
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada.,Multimodal Imaging Group-Research Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Yusuke Iwata
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada.,Multimodal Imaging Group-Research Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Jun Ku Chung
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada.,Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, ON, Canada.,Multimodal Imaging Group-Research Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Philip Gerretsen
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada.,Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, ON, Canada.,Multimodal Imaging Group-Research Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Geriatric Mental Health Division, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Ariel Graff-Guerrero
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada.,Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, ON, Canada.,Multimodal Imaging Group-Research Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Geriatric Mental Health Division, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
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26
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Yue L, Wang T, Wang J, Li G, Wang J, Li X, Li W, Hu M, Xiao S. Asymmetry of Hippocampus and Amygdala Defect in Subjective Cognitive Decline Among the Community Dwelling Chinese. Front Psychiatry 2018; 9:226. [PMID: 29942265 PMCID: PMC6004397 DOI: 10.3389/fpsyt.2018.00226] [Citation(s) in RCA: 57] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2017] [Accepted: 05/08/2018] [Indexed: 01/16/2023] Open
Abstract
Background: Subjective cognitive decline (SCD) may be the first clinical sign of Alzheimer's disease (AD). SCD individuals with normal cognition may already have significant medial temporal lobe atrophy. However, few studies have been devoted to exploring the alteration of left-right asymmetry with hippocampus and amygdala in SCD. The aim of this study was to compare SCD individuals with amnestic mild cognitive impairment (MCI) patients and the normal population for volume and asymmetry of hippocampus, amygdala and temporal horn, and to assess their relationship with cognitive function in elderly population living in China. Methods: 111 SCD, 30 MCI, and 67 healthy controls (HC) underwent a standard T1-weighted MRI, from which the volumes of the hippocampus and amygdala were calculated and compared. Then we evaluated the pattern and extent of asymmetry in hippocampus and amygdala of these samples. Furthermore, we also investigated the relationship between the altered brain regions and cognitive function. Results: Among the three groups, SCD showed more depressive symptoms (p < 0.001) and higher percentage of heart disease (16.4% vs. 35.1%, p = 0.007) than controls. In terms of brain data, significant differences were found in the volume and asymmetry of both hippocampus and amygdala among the three groups (P < 0.05). In logistic analysis controlled by age, gender, education level, depression symptoms, anxiety symptom, somatic disease and lifestyle in terms of smoking, both SCD and MCI individuals showed significant decreased right hippocampal and amygdala volume than controls. For asymmetry pattern, a ladder-shaped difference of left-larger-than-right asymmetry was found in amygdala with MCI>SCD>HC, and an opposite asymmetry of left-less-than-right pattern was found with HC>SCD>MCI in hippocampus. Furthermore, correlation was shown between the volume of right hippocampus and right amygdala with MMSE and MoCA in SCD group. Conclusion: Our results supported that SCD individuals are biologically distinguishable from HC, and this may relate to cognitive impairment, although more longitudinal studies are need to investigate this further.Moreover, different levels of asymmetry in hippocampus and amygdala might be a potential dividing factor to differentiate clinical diagnosis.
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Affiliation(s)
- Ling Yue
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Alzheimer's Disease and Related Disorders Center, Shanghai Jiao Tong University, Shanghai, China
| | - Tao Wang
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Alzheimer's Disease and Related Disorders Center, Shanghai Jiao Tong University, Shanghai, China
| | - Jingyi Wang
- Division of Psychiatry, University of College London, London, United Kingdom
| | - Guanjun Li
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Alzheimer's Disease and Related Disorders Center, Shanghai Jiao Tong University, Shanghai, China
| | - Jinghua Wang
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Alzheimer's Disease and Related Disorders Center, Shanghai Jiao Tong University, Shanghai, China
| | - Xia Li
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Alzheimer's Disease and Related Disorders Center, Shanghai Jiao Tong University, Shanghai, China
| | - Wei Li
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Alzheimer's Disease and Related Disorders Center, Shanghai Jiao Tong University, Shanghai, China
| | - Mingxing Hu
- Department of Computer Science, University of College London, London, United Kingdom
| | - Shifu Xiao
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Alzheimer's Disease and Related Disorders Center, Shanghai Jiao Tong University, Shanghai, China
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27
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Buckley RF, Hanseeuw B, Schultz AP, Vannini P, Aghjayan SL, Properzi MJ, Jackson JD, Mormino EC, Rentz DM, Sperling RA, Johnson KA, Amariglio RE. Region-Specific Association of Subjective Cognitive Decline With Tauopathy Independent of Global β-Amyloid Burden. JAMA Neurol 2017; 74:1455-1463. [PMID: 28973551 DOI: 10.1001/jamaneurol.2017.2216] [Citation(s) in RCA: 110] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Importance The ability to explore associations between reports of subjective cognitive decline (SCD) and biomarkers of early Alzheimer disease (AD) pathophysiologic processes (accumulation of neocortical β-amyloid [Aβ] and tau) provides an important opportunity to understand the basis of SCD and AD risk. Objective To examine associations between SCD and global Aβ and tau burdens in regions of interest in clinically healthy older adults. Design, Setting, and Participants This imaging substudy of the Harvard Aging Brain Study included 133 clinically healthy older participants (Clinical Dementia Rating Scale global scores of 0) participating in the Harvard Aging Brain Study who underwent cross-sectional flortaucipir F 18 (previously known as AV 1451, T807) positron emission tomography (FTP-PET) imaging for tau and Pittsburgh compound B carbon 11-labeled PET (PiB-PET) imaging for Aβ. The following 2 regions for tau burden were identified: the entorhinal cortex, which exhibits early signs of tauopathy, and the inferior temporal region, which is more closely associated with AD-related pathologic mechanisms. Data were collected from June 11, 2012, through April 7, 2016. Main Outcomes and Measures Subjective cognitive decline was measured using a previously published method of z-transforming subscales from the Memory Functioning Questionnaire, the Everyday Cognition battery, and a 7-item questionnaire. The Aβ level was measured according to a summary distribution volume ratio of frontal, lateral temporal and parietal, and retrosplenial PiB-PET tracer uptake. The FTP-PET measures were computed as standardized uptake value ratios. Linear regression models focused on main and interactive effects of Aβ, entorhinal cortical, and inferior temporal tau on SCD, controlling for age, sex, educational attainment, and Geriatric Depression Scale score. Results Of the 133 participants, 75 (56.3%) were women and 58 (43.6%) were men; mean (SD) age was 76 (6.9) years (range, 55-90 years). Thirty-nine participants (29.3%) exhibited a high Aβ burden. Greater SCD was associated with increasing entorhinal cortical tau burden (β = 0.35; 95% CI, 0.19-.52; P < .001) and Aβ burden (β = 0.24; 95% CI, 0.08-.40; P = .005), but not inferior temporal tau burden (β = 0.10; 95% CI, -0.08 to 0.28; P = .27). This association between entorhinal cortical tau burden and SCD was largely unchanged after accounting for Aβ burden (β = 0.36; 95% CI, 0.15-.58; P = .001), and no interaction influenced SCD (β = -0.36; 95% CI, -0.34 to 0.09; P = .25). An exploratory post hoc whole-brain analysis also indicated that SCD was predominantly associated with greater tau burden in the entorhinal cortex. Conclusions and Relevance Subjective cognitive decline is indicative of accumulation of early tauopathy in the medial temporal lobe, specifically in the entorhinal cortex, and to a lesser extent, elevated global levels of Aβ. Our findings suggest multiple underlying pathways that motivate SCD that do not necessarily interact to influence SCD endorsement. As such, multiple biological factors must be considered when assessing SCD in clinically healthy older adults.
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Affiliation(s)
- Rachel F Buckley
- Florey Institutes of Neuroscience and Mental Health, University of Melbourne, Melbourne, Australia.,Melbourne School of Psychological Science, University of Melbourne, Australia.,Athinoula A. Martinos Center for Biomedical Imaging, Department of Neurology, Massachusetts General Hospital, Charlestown.,Department of Radiology, Harvard Medical School, Boston, Massachusetts
| | - Bernard Hanseeuw
- Department of Radiology, Harvard Medical School, Boston, Massachusetts.,Department of Radiology, Massachusetts General Hospital, Boston.,now affiliated with Department of Neurology, Cliniques Universitaires Saint-Luc, Institute of Neuroscience, Université Catholique de Louvain, Brussels, Belgium
| | - Aaron P Schultz
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Neurology, Massachusetts General Hospital, Charlestown.,Department of Radiology, Massachusetts General Hospital, Boston.,Department of Psychiatry, Massachusetts General Hospital, Boston
| | - Patrizia Vannini
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Neurology, Massachusetts General Hospital, Charlestown.,Department of Radiology, Harvard Medical School, Boston, Massachusetts.,Department of Radiology, Massachusetts General Hospital, Boston
| | - Sarah L Aghjayan
- Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Michael J Properzi
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Neurology, Massachusetts General Hospital, Charlestown
| | - Jonathan D Jackson
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Neurology, Massachusetts General Hospital, Charlestown.,Department of Radiology, Harvard Medical School, Boston, Massachusetts.,Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Elizabeth C Mormino
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Neurology, Massachusetts General Hospital, Charlestown.,Department of Radiology, Harvard Medical School, Boston, Massachusetts
| | - Dorene M Rentz
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Neurology, Massachusetts General Hospital, Charlestown.,Department of Radiology, Harvard Medical School, Boston, Massachusetts.,Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Reisa A Sperling
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Neurology, Massachusetts General Hospital, Charlestown.,Department of Radiology, Harvard Medical School, Boston, Massachusetts.,Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Keith A Johnson
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Neurology, Massachusetts General Hospital, Charlestown.,Department of Radiology, Harvard Medical School, Boston, Massachusetts.,Department of Radiology, Massachusetts General Hospital, Boston.,Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Boston, Massachusetts.,Division of Nuclear Medicine and Molecular Imaging, Massachusetts General Hospital, Boston
| | - Rebecca E Amariglio
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Neurology, Massachusetts General Hospital, Charlestown.,Department of Radiology, Harvard Medical School, Boston, Massachusetts.,Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Boston, Massachusetts
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28
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Ruan Q, D'Onofrio G, Sancarlo D, Greco A, Lozupone M, Seripa D, Panza F, Yu Z. Emerging biomarkers and screening for cognitive frailty. Aging Clin Exp Res 2017; 29:1075-1086. [PMID: 28260159 DOI: 10.1007/s40520-017-0741-8] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2017] [Accepted: 02/16/2017] [Indexed: 11/24/2022]
Abstract
Physical frailty and cognitive frailty are two important targets of secondary intervention in aging research to narrow the gap between life and health span. The objective of the present narrative review was to examine clinical and epidemiological studies investigating the recently proposed construct of cognitive frailty and its subtypes, with a focus on operational definitions, clinical criteria, and emerging biomarkers potentially useful for the screening of this novel entity. Both physical frailty and frailty indexes with a multidimensional nature were associated with late-life cognitive impairment/decline, incident dementia, Alzheimer's disease (AD), mild cognitive impairment, vascular dementia, non-AD dementias, and AD pathology proposing cognitive frailty as a clinical entity with cognitive impairment related to physical causes with a potential reversibility. The new clinical and research AD criteria established by the National Institute on Aging-Alzheimer's Association and the American Psychiatric Association could improve the differential diagnosis of cognitive impairment within the cognitive frailty construct. The emerging biomarkers of sarcopenia, physical frailty, and cognitive impairment will provide the basis to establish more reliable clinical and research criteria for cognitive frailty, using different operational definitions for frailty and cognitive impairment and useful clinical, biological, and imaging markers for this novel clinical construct.
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Affiliation(s)
- Qingwei Ruan
- Shanghai Key Laboratory of Clinical Geriatrics, Department of Geriatrics, Huadong Hospital, and Research Center of Aging and Medicine, Shanghai Institute of Geriatrics and Gerontology, Shanghai Medical College, Fudan University, Shanghai, 200040, China
| | - Grazia D'Onofrio
- Geriatric Unit and Laboratory of Gerontology and Geriatrics, Department of Medical Sciences, IRCCS "Casa Sollievo della Sofferenza", San Giovanni Rotondo, Foggia, Italy
| | - Daniele Sancarlo
- Geriatric Unit and Laboratory of Gerontology and Geriatrics, Department of Medical Sciences, IRCCS "Casa Sollievo della Sofferenza", San Giovanni Rotondo, Foggia, Italy
| | - Antonio Greco
- Geriatric Unit and Laboratory of Gerontology and Geriatrics, Department of Medical Sciences, IRCCS "Casa Sollievo della Sofferenza", San Giovanni Rotondo, Foggia, Italy
| | - Madia Lozupone
- Neurodegenerative Disease Unit, Department of Basic Medicine, Neuroscience, and Sense Organs, University of Bari Aldo Moro, Bari, Italy
| | - Davide Seripa
- Geriatric Unit and Laboratory of Gerontology and Geriatrics, Department of Medical Sciences, IRCCS "Casa Sollievo della Sofferenza", San Giovanni Rotondo, Foggia, Italy
| | - Francesco Panza
- Geriatric Unit and Laboratory of Gerontology and Geriatrics, Department of Medical Sciences, IRCCS "Casa Sollievo della Sofferenza", San Giovanni Rotondo, Foggia, Italy.
- Neurodegenerative Disease Unit, Department of Basic Medicine, Neuroscience, and Sense Organs, University of Bari Aldo Moro, Bari, Italy.
- Department of Clinical Research in Neurology, University of Bari Aldo Moro, "Pia Fondazione Cardinale G. Panico", Tricase, Lecce, Italy.
| | - Zhuowei Yu
- Shanghai Key Laboratory of Clinical Geriatrics, Department of Geriatrics, Huadong Hospital, and Research Center of Aging and Medicine, Shanghai Institute of Geriatrics and Gerontology, Shanghai Medical College, Fudan University, Shanghai, 200040, China.
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29
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Molinuevo JL, Rabin LA, Amariglio R, Buckley R, Dubois B, Ellis KA, Ewers M, Hampel H, Klöppel S, Rami L, Reisberg B, Saykin AJ, Sikkes S, Smart CM, Snitz BE, Sperling R, van der Flier WM, Wagner M, Jessen F. Implementation of subjective cognitive decline criteria in research studies. Alzheimers Dement 2017; 13:296-311. [PMID: 27825022 PMCID: PMC5344703 DOI: 10.1016/j.jalz.2016.09.012] [Citation(s) in RCA: 338] [Impact Index Per Article: 48.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2016] [Revised: 07/07/2016] [Accepted: 09/29/2016] [Indexed: 11/26/2022]
Abstract
INTRODUCTION Subjective cognitive decline (SCD) manifesting before clinical impairment could serve as a target population for early intervention trials in Alzheimer's disease (AD). A working group, the Subjective Cognitive Decline Initiative (SCD-I), published SCD research criteria in the context of preclinical AD. To successfully apply them, a number of issues regarding assessment and implementation of SCD needed to be addressed. METHODS Members of the SCD-I met to identify and agree on topics relevant to SCD criteria operationalization in research settings. Initial ideas and recommendations were discussed with other SCD-I working group members and modified accordingly. RESULTS Topics included SCD inclusion and exclusion criteria, together with the informant's role in defining SCD presence and the impact of demographic factors. DISCUSSION Recommendations for the operationalization of SCD in differing research settings, with the aim of harmonization of SCD measurement across studies are proposed, to enhance comparability and generalizability across studies.
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Affiliation(s)
- José L Molinuevo
- Alzheimer's Disease and Other Cognitive Disorders Unit, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Barcelona βeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain.
| | - Laura A Rabin
- Department of Psychology, Brooklyn College and The Graduate Center of CUNY, Brooklyn, NY, USA; Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Rebecca Amariglio
- Center for Alzheimer Research and Treatment, Brigham and Women's Hosptial and Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Rachel Buckley
- Center for Alzheimer Research and Treatment, Brigham and Women's Hosptial and Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Florey Institute of Neuroscience and Mental Health, Melbourne, Australia; Melbourne School of Psychological Sciences, University of Melbourne, Melbourne, Australia
| | - Bruno Dubois
- Institute of Memory and Alzheimer's Disease and Brain and Spine Institute (ICM) Pitié Salpetriere University Hospital, Sorbonne Universities, Pierre et Marie Curie University, Paris, France
| | - Kathryn A Ellis
- Department of Psychiatry, Royal Melbourne Hospital, The University of Melbourne, Melbourne, Australia
| | - Michael Ewers
- Institute for Stroke and Dementia Research, Klinikum der Universität München Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Harald Hampel
- Institute of Memory and Alzheimer's Disease and Brain and Spine Institute (ICM) Pitié Salpetriere University Hospital, Sorbonne Universities, Pierre et Marie Curie University, Paris, France; AXA Research Fund & UPMC Chair, Paris, France
| | - Stefan Klöppel
- Department of Psychiatry and Psychotherapy, University Medical Center Freiburg, Freiburg, Germany; Center of Geriatrics and Gerontology, University Medical Center Freiburg, Freiburg, Germany
| | - Lorena Rami
- Alzheimer's Disease and Other Cognitive Disorders Unit, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Barry Reisberg
- Department of Psychiatry, New York University Langone Medical Center, New York, NY, USA
| | - Andrew J Saykin
- Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, IN, USA; Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Sietske Sikkes
- Department of Neurology, VU University Medical Center, Alzheimer Center, Amsterdam, The Netherlands; Department of Epidemiology and Biostatistics, VU University Medical Center, Alzheimer Center, Amsterdam, The Netherlands; Neuroscience Campus Amsterdam, VU University Medical Center, Alzheimer Center, Amsterdam, The Netherlands
| | - Colette M Smart
- Department of Psychology, University of Victoria, Victoria, BC, Canada; Institute on Aging and Lifelong Health, University of Victoria, Victoria, BC, Canada
| | - Beth E Snitz
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Reisa Sperling
- Center for Alzheimer Research and Treatment, Brigham and Women's Hosptial and Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Wiesje M van der Flier
- Department of Neurology, VU University Medical Center, Alzheimer Center, Amsterdam, The Netherlands; Department of Epidemiology and Biostatistics, VU University Medical Center, Alzheimer Center, Amsterdam, The Netherlands; Neuroscience Campus Amsterdam, VU University Medical Center, Alzheimer Center, Amsterdam, The Netherlands
| | - Michael Wagner
- Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany; German Center for Neurodegenerative Disorders (DZNE), Bonn-Cologne, Germany
| | - Frank Jessen
- German Center for Neurodegenerative Disorders (DZNE), Bonn-Cologne, Germany; Department of Psychiatry, University Hospital Cologne, Medical Faculty, Cologne, Germany
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30
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Grober E, Wakefield D, Ehrlich AR, Mabie P, Lipton RB. Identifying memory impairment and early dementia in primary care. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2017; 6:188-195. [PMID: 28289701 PMCID: PMC5338866 DOI: 10.1016/j.dadm.2017.01.006] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
INTRODUCTION This study examined the operating characteristics of two-stage case finding to identify memory impairment and very mild dementia. METHODS Primary care patients underwent two-stage testing and a subsequent diagnostic assessment to assess outcomes. Patients who screen positive for subjective cognitive decline on the Informant Questionnaire on Cognitive Decline in the Elderly undergo memory testing with the Free and Cued Selective Reminding Test with Immediate Recall. Outcomes were determined without access to these data. A split-half design with discovery and confirmatory samples was used. RESULTS One hundred seventeen of 563 (21%) patients had dementia and 68 (12%) had memory impairment but not dementia. Operating characteristics were similar in the discovery and confirmatory samples. In the pooled sample, combined, patients with memory impairment or dementia were identified with good sensitivity (72%) and high specificity (90%). Differences in ethnicity, educational level, or age (≤75, >75) did not affect classification accuracy. DISCUSSION Two-stage screening facilitates the efficient identification of older adults with memory impairment or dementia.
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Affiliation(s)
- Ellen Grober
- Department of Neurology, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, NY, USA
| | | | - Amy R. Ehrlich
- Division of Geriatrics, Department of Medicine, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, NY, USA
| | - Peter Mabie
- Department of Neurology, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, NY, USA
| | - Richard B. Lipton
- Department of Neurology, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, NY, USA
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31
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Wolfsgruber S, Kleineidam L, Wagner M, Mösch E, Bickel H, Lϋhmann D, Ernst A, Wiese B, Steinmann S, König HH, Brettschneider C, Luck T, Stein J, Weyerer S, Werle J, Pentzek M, Fuchs A, Maier W, Scherer M, Riedel-Heller SG, Jessen F. Differential Risk of Incident Alzheimer’s Disease Dementia in Stable Versus Unstable Patterns of Subjective Cognitive Decline. J Alzheimers Dis 2016; 54:1135-1146. [DOI: 10.3233/jad-160407] [Citation(s) in RCA: 59] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Affiliation(s)
- Steffen Wolfsgruber
- Department of Psychiatry and Psychotherapy, University of Bonn, Germany
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Luca Kleineidam
- Department of Psychiatry and Psychotherapy, University of Bonn, Germany
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Michael Wagner
- Department of Psychiatry and Psychotherapy, University of Bonn, Germany
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Edelgard Mösch
- Department of Psychiatry, Technical University of Munich, Munich, Germany
| | - Horst Bickel
- Department of Psychiatry, Technical University of Munich, Munich, Germany
| | - Dagmar Lϋhmann
- Department of Primary Medical Care, Center for Psychosocial Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Annette Ernst
- Department of Primary Medical Care, Center for Psychosocial Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Birgitt Wiese
- WG Medical Statistics and IT-Infrastructure, Institute of General Practice, Hannover Medical School, Hannover, Germany
| | - Susanne Steinmann
- WG Medical Statistics and IT-Infrastructure, Institute of General Practice, Hannover Medical School, Hannover, Germany
| | - Hans-Helmut König
- Department of Health Economics and Health Services Research, Hamburg Center for Health Economics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Christian Brettschneider
- Department of Health Economics and Health Services Research, Hamburg Center for Health Economics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Tobias Luck
- Institute of Social Medicine, Occupational Health and Public Health (ISAP), University of Leipzig, Germany
- LIFE – Leipzig Research Center for Civilization Diseases, University of Leipzig, Germany
| | - Janine Stein
- Institute of Social Medicine, Occupational Health and Public Health (ISAP), University of Leipzig, Germany
| | - Siegfried Weyerer
- Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
| | - Jochen Werle
- Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
| | - Michael Pentzek
- Institute of General Practice, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Angela Fuchs
- Institute of General Practice, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Wolfgang Maier
- Department of Psychiatry and Psychotherapy, University of Bonn, Germany
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Martin Scherer
- Department of Primary Medical Care, Center for Psychosocial Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Steffi G. Riedel-Heller
- Institute of Social Medicine, Occupational Health and Public Health (ISAP), University of Leipzig, Germany
| | - Frank Jessen
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Department of Psychiatry, University of Cologne, Germany
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32
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Koppara A, Wolfsgruber S, Kleineidam L, Schmidtke K, Frölich L, Kurz A, Schulz S, Hampel H, Heuser I, Peters O, Reischies FM, Jahn H, Luckhaus C, Hüll M, Gertz HJ, Schröder J, Pantel J, Rienhoff O, Rüther E, Henn F, Wiltfang J, Maier W, Jessen F, Kornhuber J, Wagner M. The Latent Dementia Phenotype δ is Associated with Cerebrospinal Fluid Biomarkers of Alzheimer's Disease and Predicts Conversion to Dementia in Subjects with Mild Cognitive Impairment. J Alzheimers Dis 2016; 49:547-60. [PMID: 26484902 DOI: 10.3233/jad-150257] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND The recently proposed latent variable δ is a new tool for dementia case finding. It is built in a structural equation modeling framework of cognitive and functional data and constitutes a novel endophenotype for Alzheimer's disease (AD) research and clinical trials. OBJECTIVE To investigate the association of δ with AD biomarkers and to compare the prediction of δ with established scales for conversion to dementia in patients with mild cognitive impairment (MCI). METHODS Using data from a multicenter memory clinic study, we examined the external associations of the latent variable δ and compared δ with well-established cognitive and functional scales and cognitive-functional composite scores. For that purpose, logistic regressions with cerebrospinal fluid (CSF) biomarkers and conversion to dementia as dependent variables were performed with the investigated scores. The models were tested for significant differences. RESULTS In patients with MCI, δ based on a broad range of cognitive scales (including the ADAS-cog, the MMSE, and the CERAD neuropsychological battery) predicted an abnormal CSF Aβ42/tau ratio indicative of AD (n = 340, AUC = 0.78, p < 0.001), and predicted incident dementia within 1-3 years of follow-up (n = 525, AUC = 0.84, p < 0.001). These associations were generally stronger than for any other scale or cognitive-functional composite examined. Homologs of δ based on reduced test batteries yielded somewhat lower effects. CONCLUSION These findings support the interpretation of δ as a construct capturing the disease-related "essence" of cognitive and functional impairments in patients with MCI and dementia, and suggest that δ might become an analytical tool for dementia research.
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Affiliation(s)
- Alexander Koppara
- Department of Psychiatry, University of Bonn, Germany.,German Center for Neurodegenerative Diseases, Bonn, Germany
| | - Steffen Wolfsgruber
- Department of Psychiatry, University of Bonn, Germany.,German Center for Neurodegenerative Diseases, Bonn, Germany
| | - Luca Kleineidam
- Department of Psychiatry, University of Bonn, Germany.,German Center for Neurodegenerative Diseases, Bonn, Germany
| | - Klaus Schmidtke
- Center for Geriatric Medicine, Ortenau Klinikum, Offenburg-Gengenbach, Germany
| | - Lutz Frölich
- Department of Gerontopsychiatry, Central Institute of Mental Health, Mannheim, Germany
| | - Alexander Kurz
- Department of Psychiatry, Technical University of Munich, Germany
| | | | - Harald Hampel
- Department of Neurology, Université Pierre et Marie Curie (Sorbonne), and AXA Research Fund & UPMC Chair, Paris, France
| | - Isabella Heuser
- Department of Psychiatry, Charité Berlin, Campus Benjamin Franklin, Berlin, Germany
| | - Oliver Peters
- Department of Psychiatry, Charité Berlin, Campus Benjamin Franklin, Berlin, Germany
| | - Friedel M Reischies
- Department of Psychiatry, Charité Berlin, Campus Benjamin Franklin, Berlin, Germany
| | - Holger Jahn
- Department of Psychiatry, University of Hamburg, Germany
| | | | - Michael Hüll
- Center for Psychiatry, Clinic for Geronto- and Neuropsychiatry Emmendingen and Dep. of Psychiatry, University of Freiburg, Germany
| | | | - Johannes Schröder
- Section for Geriatric Psychiatry/Institute of Gerontology, University of Heidelberg, Germany
| | - Johannes Pantel
- Institute of General Medicine University of Frankfurt, Frankfurt am Main, Germany
| | - Otto Rienhoff
- Department of Medical Informatics, University of Göttingen, Germany
| | - Eckart Rüther
- Department of Psychiatry and Psychotherapy, University of Göttingen, Germany
| | - Fritz Henn
- Ichan School of Medicine at Mt. Sinai, New York, USA
| | - Jens Wiltfang
- Department of Psychiatry and Psychotherapy, University of Göttingen, Germany
| | - Wolfgang Maier
- Department of Psychiatry, University of Bonn, Germany.,German Center for Neurodegenerative Diseases, Bonn, Germany
| | - Frank Jessen
- Department of Psychiatry, University of Bonn, Germany.,German Center for Neurodegenerative Diseases, Bonn, Germany.,Department of Psychiatry, Medical Faculty University of Cologne, Germany
| | - Johannes Kornhuber
- Department of Psychiatry, Friedrich-Alexander-University Erlangen, Germany
| | - Michael Wagner
- Department of Psychiatry, University of Bonn, Germany.,German Center for Neurodegenerative Diseases, Bonn, Germany
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Studart A, Nitrini R. Subjective cognitive decline: The first clinical manifestation of Alzheimer's disease? Dement Neuropsychol 2016; 10:170-177. [PMID: 29213452 PMCID: PMC5642412 DOI: 10.1590/s1980-5764-2016dn1003002] [Citation(s) in RCA: 77] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Background Mild cognitive impairment is considered as the first clinical manifestation of Alzheimer's disease (AD), when the individual exhibits below performance on standardized neuropsychological tests. However, some subjects before having a lower performance on cognitive assessments already have a subjective memory complaint. Objective A review about subjective cognitive decline, the association with AD biomarkers and risk of conversion to dementia. Methods We performed a comprehensive non-systematic review on PubMed. The keywords used in the search were terms related to subjective cognitive decline. Results Subjective cognitive decline is characterized by self-experience of deterioration in cognitive performance not detected objectively through formal neuropsychological testing. However, various terms and definitions have been used in the literature and the lack of a widely accepted concept hampers comparison of studies. Epidemiological data have shown that individuals with subjective cognitive decline are at increased risk of progression to AD dementia. In addition, there is evidence that this group has a higher prevalence of positive biomarkers for amyloidosis and neurodegeneration. However, Alzheimer's disease is not the only cause of subjective cognitive decline and various other conditions can be associated with subjective memory complaints, such as psychiatric disorders or normal aging. The features suggestive of a neurodegenerative disorder are: onset of decline within the last five years, age at onset above 60 years, associated concerns about decline and confirmation by an informant. Conclusion These findings support the idea that subjective cognitive complaints may be an early clinical marker that precedes mild cognitive impairment due to Alzheimer's disease.
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Affiliation(s)
- Adalberto Studart
- Department of Neurology, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo SP, Brazil
| | - Ricardo Nitrini
- Department of Neurology, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo SP, Brazil
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34
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Buckley RF, Villemagne VL, Masters CL, Ellis KA, Rowe CC, Johnson K, Sperling R, Amariglio R. A Conceptualization of the Utility of Subjective Cognitive Decline in Clinical Trials of Preclinical Alzheimer's Disease. J Mol Neurosci 2016; 60:354-361. [PMID: 27514526 DOI: 10.1007/s12031-016-0810-z] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2016] [Accepted: 07/28/2016] [Indexed: 01/31/2023]
Abstract
This commentary outlines a conceptual model for subjective cognitive decline (SCD) in relation to Alzheimer's disease (AD) biomarkers in the preclinical stages of disease and a framework for effectively utilizing SCD in secondary prevention clinical trials. Mounting evidence supports the notion that SCD is sensitive to encroaching Aβ-amyloid and neurodegeneration. SCD has also been shown to provide additive information of AD-dementia risk beyond what is known about the biomarker status of the individual. Thus, we provide recommendations for the implementing SCD measurement in clinical trials. We argue that SCD can be measured at three catch points within the course of the clinical trial: firstly, at the initial recruitment and screening phase; secondly, to create more robust estimates of rates of AD-dementia progression; and finally, to measure subjective experiences of cognitive change and quality of life over the course of the trial as a proxy of clinically meaningful functional improvement. We provide recommendations of how SCD can be approached at each of these points. SCD is an important component of the preclinical AD-dementia trajectory. Future studies need to elucidate the interactive influence of Aβ-amyloid and tau on SCD from a spatiotemporal perspective. Even as this evidence accrues, it is clear that SCD can provide unique and additive information about rates of progression and subjectively experienced cognitive change within clinical trials.
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Affiliation(s)
- Rachel F Buckley
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Melbourne, Australia. .,Melbourne School of Psychological Sciences, University of Melbourne, Melbourne, Australia. .,Centre for Alzheimer Research and Treatment, Department of Neurology, Brigham Women's Hospital/Harvard Medical School, Boston, MA, USA. .,Athinoula A. Martinos Center for Biomedical Imaging, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA.
| | - Victor L Villemagne
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Melbourne, Australia.,Department of Nuclear Medicine and Centre for PET, Austin Health, Melbourne, Australia.,Department of Medicine, Austin Health, University of Melbourne, Melbourne, Australia
| | - Colin L Masters
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Melbourne, Australia
| | - Kathryn A Ellis
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Melbourne, Australia.,The Academic Unit for Psychiatry of Old Age, Department of Psychiatry, University of Melbourne, Melbourne, Australia
| | - Christopher C Rowe
- Department of Nuclear Medicine and Centre for PET, Austin Health, Melbourne, Australia.,Department of Medicine, Austin Health, University of Melbourne, Melbourne, Australia
| | - Keith Johnson
- Centre for Alzheimer Research and Treatment, Department of Neurology, Brigham Women's Hospital/Harvard Medical School, Boston, MA, USA.,Department of Neurology, Massachusetts General Hospital/Harvard Medical School, Boston, MA, USA.,Department of Radiology, Massachusetts General Hospital/Harvard Medical School, Boston, MA, USA
| | - Reisa Sperling
- Centre for Alzheimer Research and Treatment, Department of Neurology, Brigham Women's Hospital/Harvard Medical School, Boston, MA, USA.,Department of Neurology, Massachusetts General Hospital/Harvard Medical School, Boston, MA, USA
| | - Rebecca Amariglio
- Centre for Alzheimer Research and Treatment, Department of Neurology, Brigham Women's Hospital/Harvard Medical School, Boston, MA, USA.,Department of Neurology, Massachusetts General Hospital/Harvard Medical School, Boston, MA, USA
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Ruan Q, D'Onofrio G, Sancarlo D, Greco A, Yu Z. Potential fluid biomarkers for pathological brain changes in Alzheimer's disease: Implication for the screening of cognitive frailty. Mol Med Rep 2016; 14:3184-98. [PMID: 27511317 PMCID: PMC5042792 DOI: 10.3892/mmr.2016.5618] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2016] [Accepted: 07/18/2016] [Indexed: 11/27/2022] Open
Abstract
Cognitive frailty (CF) overlaps with early neuropathological alterations associated with aging-related major neurocognitive disorders, including Alzheimer's disease (AD). Fluid biomarkers for these pathological brain alterations allow for early diagnosis in the preclinical stages of AD, and for objective prognostic assessments in clinical intervention trials. These biomarkers may also be helpful in the screening of CF. The present study reviewed the literature and identified systematic reviews of cohort studies and other authoritative reports. The selection criteria for potentially suitable fluid biomarkers included: i) Frequent use in studies of fluid-derived markers and ii) evidence of novel measurement techniques for fluid-derived markers. The present study focused on studies that assessed these biomarkers in AD, mild cognitive impairment and non-AD demented subjects. At present, widely used fluid biomarkers include cerebrospinal fluid (CSF), total tau, phosphorylated tau and amyloid-β levels. With the development of novel measurement techniques and improvements in understanding regarding the mechanisms underlying aging-related major neurocognitive disorders, numerous novel biomarkers associated with various aspects of AD neuropathology are being explored. These include specific measurements of Aβ oligomer or monomer forms, tau proteins in the peripheral plasma and CSF, and novel markers of synaptic dysfunction, neuronal damage and apoptosis, neuronal activity alteration, neuroinflammation, blood brain barrier dysfunction, oxidative stress, metabolites, mitochondrial function and aberrant lipid metabolism. The proposed panels of fluid biomarkers may be useful in the early diagnosis of AD, prediction of the progression of AD from preclinical stages to the dementia stage, and the differentiation of AD from non-AD dementia. In combination with physical frailty, the present study surmised that these biomarkers may also be used as biomarkers for CF, thus contribute to discovering causes and informing interventions for cognitive impairment in individuals with CF.
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Affiliation(s)
- Qingwei Ruan
- Shanghai Institute of Geriatrics and Gerontology, Shanghai Key Laboratory of Clinical Geriatrics, Department of Geriatrics, Huadong Hospital, and Research Center of Aging and Medicine, Shanghai Medical College, Fudan University, Shanghai 200040, P.R. China
| | - Grazia D'Onofrio
- Geriatric Unit & Laboratory of Gerontology and Geriatrics, Department of Medical Sciences, IRCCS 'Casa Sollievo della Sofferenza', San Giovanni Rotondo, I‑71013 Foggia, Italy
| | - Daniele Sancarlo
- Geriatric Unit & Laboratory of Gerontology and Geriatrics, Department of Medical Sciences, IRCCS 'Casa Sollievo della Sofferenza', San Giovanni Rotondo, I‑71013 Foggia, Italy
| | - Antonio Greco
- Geriatric Unit & Laboratory of Gerontology and Geriatrics, Department of Medical Sciences, IRCCS 'Casa Sollievo della Sofferenza', San Giovanni Rotondo, I‑71013 Foggia, Italy
| | - Zhuowei Yu
- Shanghai Institute of Geriatrics and Gerontology, Shanghai Key Laboratory of Clinical Geriatrics, Department of Geriatrics, Huadong Hospital, and Research Center of Aging and Medicine, Shanghai Medical College, Fudan University, Shanghai 200040, P.R. China
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Isla AG, Vázquez-Cuevas FG, Peña-Ortega F. Exercise Prevents Amyloid-β-Induced Hippocampal Network Disruption by Inhibiting GSK3β Activation. J Alzheimers Dis 2016; 52:333-43. [DOI: 10.3233/jad-150352] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Arturo G. Isla
- Departamento de Neurobiología del Desarrollo y Neurofisiología, Instituto de Neurobiología, Universidad Nacional Autónoma de México, México
| | | | - Fernando Peña-Ortega
- Departamento de Neurobiología del Desarrollo y Neurofisiología, Instituto de Neurobiología, Universidad Nacional Autónoma de México, México
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Peters O, Heuser I, Frölich L, Rüther E, Rienhoff O, Kornhuber J, Wiltfang J, Maier W. [Dementia Competence Network. Results and outlook]. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 2016; 59:438-43. [PMID: 26979717 DOI: 10.1007/s00103-016-2314-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
BACKGROUND The Dementia Competence Network (DCN) is represented by academic memory clinics and has three major aims: (1) To facilitate the development of diagnostic tools including neuropsychology, biomarkers, imaging and genetics. (2) To implement clinical trials in mild cognitive impairment and dementia and (3) to improve standard care for dementia in Germany. AIMS This article summarizes the achievements of the DCN so far and highlights future perspectives. METHODS The DCN has built up two multicentre cohorts. Within the first cohort, patients with mild cognitive impairment or mild dementia were examined longitudinally using multiple neuropsychological assessments and numerous different biomarkers. In a subgroup of the first cohort, patients were treated with antidementive drugs in two placebo-controlled clinical trials. The second cohort included cognitively healthy older people and examined repetitively clinical, neuropsychological and psychosocial parameters for ten years. RESULTS AND DISCUSSION The DCN has generated a large data and biomaterial bank. Numerous publications have helped to develop further diagnostic procedures and treatment of cognitive disorders and dementia. The DCN has contributed to end stigmatisation of dementia.
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Affiliation(s)
- Oliver Peters
- Klinik für Psychiatrie und Psychotherapie, Charité Universitätsmedizin Berlin - CBF, Berlin, Deutschland.
| | - Isabella Heuser
- Klinik für Psychiatrie und Psychotherapie, Charité Universitätsmedizin Berlin - CBF, Berlin, Deutschland
| | - Lutz Frölich
- Zentralinstitut für Seelische Gesundheit Mannheim, Mannheim, Deutschland
| | - Eckart Rüther
- Institut für Medizinische Informatik, Universitätsklinik Göttingen, Göttingen, Deutschland
| | - Otto Rienhoff
- Institut für Medizinische Informatik, Universitätsklinik Göttingen, Göttingen, Deutschland
| | - Johannes Kornhuber
- Psychiatrische und Psychotherapeutische Klinik, Universitätsklinikum Erlangen, Erlangen, Deutschland
| | - Jens Wiltfang
- Institut für Medizinische Informatik, Universitätsklinik Göttingen, Göttingen, Deutschland
| | - Wolfgang Maier
- Klinik und Poliklinik für Psychiatrie und Psychotherapie, Universitätsklinikum Bonn, Bonn, Deutschland
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CSF biomarkers in neurodegenerative and vascular dementias. Prog Neurobiol 2016; 138-140:36-53. [DOI: 10.1016/j.pneurobio.2016.03.003] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2016] [Revised: 03/12/2016] [Accepted: 03/14/2016] [Indexed: 12/14/2022]
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