151
|
Petersen RC, Wiste HJ, Weigand SD, Fields JA, Geda YE, Graff‐Radford J, Knopman DS, Kremers WK, Lowe V, Machulda MM, Mielke MM, Stricker NH, Therneau TM, Vemuri P, Jack CR. NIA-AA Alzheimer's Disease Framework: Clinical Characterization of Stages. Ann Neurol 2021; 89:1145-1156. [PMID: 33772866 PMCID: PMC8131266 DOI: 10.1002/ana.26071] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Revised: 03/23/2021] [Accepted: 03/24/2021] [Indexed: 12/13/2022]
Abstract
BACKGROUND To operationalize the National Institute on Aging - Alzheimer's Association (NIA-AA) Research Framework for Alzheimer's Disease 6-stage continuum of clinical progression for persons with abnormal amyloid. METHODS The Mayo Clinic Study of Aging is a population-based longitudinal study of aging and cognitive impairment in Olmsted County, Minnesota. We evaluated persons without dementia having 3 consecutive clinical visits. Measures for cross-sectional categories included objective cognitive impairment (OBJ) and function (FXN). Measures for change included subjective cognitive impairment (SCD), objective cognitive change (ΔOBJ), and new onset of neurobehavioral symptoms (ΔNBS). We calculated frequencies of the stages using different cutoff points and assessed stability of the stages over 15 months. RESULTS Among 243 abnormal amyloid participants, the frequencies of the stages varied with age: 66 to 90% were classified as stage 1 at age 50 but at age 80, 24 to 36% were stage 1, 32 to 47% were stage 2, 18 to 27% were stage 3, 1 to 3% were stage 4 to 6, and 3 to 9% were indeterminate. Most stage 2 participants were classified as stage 2 because of abnormal ΔOBJ only (44-59%), whereas 11 to 21% had SCD only, and 9 to 13% had ΔNBS only. Short-term stability varied by stage and OBJ cutoff points but the most notable changes were seen in stage 2 with 38 to 63% remaining stable, 4 to 13% worsening, and 24 to 41% improving (moving to stage 1). INTERPRETATION The frequency of the stages varied by age and the precise membership fluctuated by the parameters used to define the stages. The staging framework may require revisions before it can be adopted for clinical trials. ANN NEUROL 2021;89:1145-1156.
Collapse
Affiliation(s)
| | | | | | - Julie A. Fields
- Department of Psychiatry and PsychologyMayo ClinicRochesterMN
| | - Yonas E. Geda
- Department of NeurologyBarrow Neurological InstitutePhoenixAZ
| | | | | | | | - Val Lowe
- Department of RadiologyMayo ClinicRochesterMN
| | | | | | | | | | | | | |
Collapse
|
152
|
Zlatar ZZ, Tarraf W, González KA, Vásquez PM, Marquine MJ, Lipton RB, Gallo LC, Khambaty T, Zeng D, Youngblood ME, Estrella ML, Isasi CR, Daviglus M, González HM. Subjective cognitive decline and objective cognition among diverse U.S. Hispanics/Latinos: Results from the Study of Latinos-Investigation of Neurocognitive Aging (SOL-INCA). Alzheimers Dement 2021; 18:43-52. [PMID: 34057776 PMCID: PMC8630099 DOI: 10.1002/alz.12381] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Revised: 04/22/2021] [Accepted: 04/22/2021] [Indexed: 12/05/2022]
Abstract
Introduction Despite increased risk of cognitive decline in Hispanics/Latinos, research on early risk markers of Alzheimer's disease in this group is lacking. Subjective cognitive decline (SCD) may be an early risk marker of pathological aging. We investigated associations of SCD with objective cognition among a diverse sample of Hispanics/Latinos living in the United States. Methods SCD was measured with the Everyday Cognition Short Form (ECog‐12) and cognitive performance with a standardized battery in 6125 adults aged ≥ 50 years without mild cognitive impairment or dementia (x̄age = 63.2 years, 54.5% women). Regression models interrogated associations of SCD with objective global, memory, and executive function scores. Results Higher SCD was associated with lower objective global (B = −0.16, SE = 0.01), memory (B = −0.13, SE = 0.02), and executive (B = −0.13, SE = 0.02, p's < .001) function composite scores in fully adjusted models. Discussion Self‐reported SCD, using the ECog‐12, may be an indicator of concurrent objective cognition in diverse middle‐aged and older community‐dwelling Hispanics/Latinos.
Collapse
Affiliation(s)
- Zvinka Z Zlatar
- Department of Psychiatry, University of California, San Diego, La Jolla, California, USA
| | - Wassim Tarraf
- Institute of Gerontology & Department of Healthcare Sciences, Wayne State University, Detroit, Michigan, USA
| | - Kevin A González
- Department of Neurosciences and the Shiley-Marcos Alzheimer's Disease Research Center, University of California San Diego, La Jolla, California, USA
| | - Priscilla M Vásquez
- Department of Family Medicine and Public Health, University of California San Diego, La Jolla, California, USA
| | - María J Marquine
- Department of Psychiatry, University of California, San Diego, La Jolla, California, USA
| | - Richard B Lipton
- Departments of Neurology, Epidemiology and Population Health, Albert Einstein, College of Medicine, New York, New York, USA
| | - Linda C Gallo
- Department of Psychology, San Diego State University, San Diego, California, USA
| | - Tasneem Khambaty
- Department of Psychology, University of Maryland Baltimore County, Baltimore, Maryland, USA
| | - Donglin Zeng
- Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Marston E Youngblood
- Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Mayra L Estrella
- Institute for Minority Health Research, University of Illinois at Chicago, College of Medicine, Chicago, Illinois, USA
| | - Carmen R Isasi
- Departments of Neurology, Epidemiology and Population Health, Albert Einstein, College of Medicine, New York, New York, USA
| | - Martha Daviglus
- Institute for Minority Health Research, University of Illinois at Chicago, College of Medicine, Chicago, Illinois, USA
| | - Hector M González
- Department of Neurosciences and the Shiley-Marcos Alzheimer's Disease Research Center, University of California San Diego, La Jolla, California, USA
| |
Collapse
|
153
|
Ribaldi F, Chicherio C, Altomare D, Martins M, Tomczyk S, Jelescu I, Maturana E, Scheffler M, Haller S, Lövblad KO, Pievani M, Garibotto V, Kliegel M, Frisoni GB. Brain connectivity and metacognition in persons with subjective cognitive decline (COSCODE): rationale and study design. ALZHEIMERS RESEARCH & THERAPY 2021; 13:105. [PMID: 34034799 PMCID: PMC8152092 DOI: 10.1186/s13195-021-00846-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Accepted: 05/17/2021] [Indexed: 12/28/2022]
Abstract
Background Subjective cognitive decline (SCD) is the subjective perception of a decline in memory and/or other cognitive functions in the absence of objective evidence. Some SCD individuals however may suffer from very early stages of neurodegenerative diseases (such as Alzheimer’s disease, AD), minor psychiatric conditions, neurological, and/or somatic comorbidities. Even if a theoretical framework has been established, the etiology of SCD remains far from elucidated. Clinical observations recently lead to the hypothesis that individuals with incipient AD may have overestimated metacognitive judgements of their own cognitive performance, while those with psychiatric disorders typically present underestimated metacognitive judgements. Moreover, brain connectivity changes are known correlates of AD and psychiatric conditions and might be used as biomarkers to discriminate SCD individuals of different etiologies. The aim of the COSCODE study is to identify metacognition, connectivity, behavioral, and biomarker profiles associated with different etiologies of SCD. Here we present its rationale and study design. Methods COSCODE is an observational, longitudinal (4 years), prospective clinical cohort study involving 120 SCD, and 80 control study participants (40 individuals with no cognitive impairment, and 40 living with mild cognitive impairment - MCI, or dementia due to AD), all of which will undergo diffusion magnetic resonance imaging (MRI) and functional magnetic resonance imaging (fMRI) as well as behavioral and biomarker assessments at baseline and after 1 and 2 years. Both hypothesis-driven and data-driven cluster analysis approaches will be used to identify SCD sub-types based on metacognition, connectivity, behavioral, and biomarker features. Conclusion COSCODE will allow defining and interpreting the constellation of signs and symptoms associated with different etiologies of SCD, paving the way to the development of cost-effective risk assessment and prevention protocols.
Collapse
Affiliation(s)
- Federica Ribaldi
- Laboratory of Neuroimaging of Aging (LANVIE), University of Geneva, Geneva, Switzerland. .,Geneva Memory Center, Department of Rehabilitation and Geriatrics, Geneva University Hospitals, Geneva, Switzerland.
| | - Christian Chicherio
- Geneva Memory Center, Department of Rehabilitation and Geriatrics, Geneva University Hospitals, Geneva, Switzerland.,Center for Interdisciplinary Study of Gerontology and Vulnerability (CIGEV), University of Geneva, Geneva, Switzerland
| | - Daniele Altomare
- Laboratory of Neuroimaging of Aging (LANVIE), University of Geneva, Geneva, Switzerland.,Geneva Memory Center, Department of Rehabilitation and Geriatrics, Geneva University Hospitals, Geneva, Switzerland
| | - Marta Martins
- Laboratory of Neuroimaging of Aging (LANVIE), University of Geneva, Geneva, Switzerland
| | - Szymon Tomczyk
- Laboratory of Neuroimaging of Aging (LANVIE), University of Geneva, Geneva, Switzerland
| | - Ileana Jelescu
- CIBM Center for Biomedical Imaging, Lausanne, Switzerland.,Animal Imaging and Technology, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Enrique Maturana
- Department of Radiology, Geneva University Hospitals, Geneva, Switzerland
| | - Max Scheffler
- Division of Radiology, Geneva University Hospitals, Geneva, Switzerland
| | - Sven Haller
- CIMC - Centre d'Imagerie Médicale de Cornavin, Geneva, Switzerland.,Department of Surgical Sciences, Radiology, Uppsala University, Uppsala, Sweden.,Faculty of Medicine of the University of Geneva, Geneva, Switzerland.,Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, P. R. China
| | - Karl-Olof Lövblad
- Neurodiagnostic and Neurointerventional Division, Diagnostic Department, Geneva University Hospitals, Geneva, Switzerland
| | - Michela Pievani
- Laboratory of Alzheimer's Neuroimaging and Epidemiology (LANE), IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Valentina Garibotto
- Laboratory of Neuroimaging and Innovative Molecular Tracers (NIMTlab), Geneva University Neurocenter and Faculty of Medicine, University of Geneva, Geneva, Switzerland.,Division of Nuclear Medicine and Molecular Imaging, Diagnostic Department, Geneva University Hospitals, Geneva, Switzerland
| | - Matthias Kliegel
- Center for Interdisciplinary Study of Gerontology and Vulnerability (CIGEV), University of Geneva, Geneva, Switzerland.,Cognitive Aging Lab, Faculty of Psychology and Educational Sciences, University of Geneva, Geneva, Switzerland
| | - Giovanni B Frisoni
- Laboratory of Neuroimaging of Aging (LANVIE), University of Geneva, Geneva, Switzerland.,Geneva Memory Center, Department of Rehabilitation and Geriatrics, Geneva University Hospitals, Geneva, Switzerland
| |
Collapse
|
154
|
Knopman DS, Amieva H, Petersen RC, Chételat G, Holtzman DM, Hyman BT, Nixon RA, Jones DT. Alzheimer disease. Nat Rev Dis Primers 2021; 7:33. [PMID: 33986301 PMCID: PMC8574196 DOI: 10.1038/s41572-021-00269-y] [Citation(s) in RCA: 1146] [Impact Index Per Article: 286.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/09/2021] [Indexed: 12/21/2022]
Abstract
Alzheimer disease (AD) is biologically defined by the presence of β-amyloid-containing plaques and tau-containing neurofibrillary tangles. AD is a genetic and sporadic neurodegenerative disease that causes an amnestic cognitive impairment in its prototypical presentation and non-amnestic cognitive impairment in its less common variants. AD is a common cause of cognitive impairment acquired in midlife and late-life but its clinical impact is modified by other neurodegenerative and cerebrovascular conditions. This Primer conceives of AD biology as the brain disorder that results from a complex interplay of loss of synaptic homeostasis and dysfunction in the highly interrelated endosomal/lysosomal clearance pathways in which the precursors, aggregated species and post-translationally modified products of Aβ and tau play important roles. Therapeutic endeavours are still struggling to find targets within this framework that substantially change the clinical course in persons with AD.
Collapse
Affiliation(s)
| | - Helene Amieva
- Inserm U1219 Bordeaux Population Health Center, University of Bordeaux, Bordeaux, France
| | | | - Gäel Chételat
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France
| | - David M Holtzman
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Bradley T Hyman
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Ralph A Nixon
- Departments of Psychiatry and Cell Biology, New York University Langone Medical Center, New York University, New York, NY, USA
- NYU Neuroscience Institute, New York University Langone Medical Center, New York University, New York, NY, USA
| | - David T Jones
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| |
Collapse
|
155
|
Yang K, Chen G, Sheng C, Xie Y, Li Y, Hu X, Sun Y, Han Y. Cognitive Reserve, Brain Reserve, APOEɛ4, and Cognition in Individuals with Subjective Cognitive Decline in the SILCODE Study. J Alzheimers Dis 2021; 76:249-260. [PMID: 32444543 DOI: 10.3233/jad-200082] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
BACKGROUND Cognitive reserve (CR) and brain reserve (BR) could offer protective effects on cognition in the early stage of Alzheimer's disease (AD). However, the effects of CR or BR on cognition in individuals with subjective cognitive decline (SCD) are not clear. OBJECTIVE To explore the effects of CR and BR on cognition in subjects with SCD. METHODS We included 149 subjects from the Sino Longitudinal Study on Cognitive Decline (SILCODE) study. Education was used as a proxy for CR, and head circumference was used as a proxy for BR. Multiple linear regression models were conducted to examine the effects of CR and BR on cognitive scores. Furthermore, we assessed differences in effects between APOEɛ4 carriers with SCD (n = 35) and APOEɛ4 non-carriers with SCD (n = 114) and linear trends among 4 reserve levels (low BR/CR, high BR/low CR, low BR/high CR, and high BR/high CR). RESULTS Both CR and BR had independent positive effects on multiple cognitive measures in SCD participants, and the effects of CR were greater than those of BR. CR has positive effects on cognitive measures in both APOEɛ4 carriers and non-carriers with SCD. However, the positive effects of BR on cognitive measures were observed in APOEɛ4 non-carriers with SCD but not in APOEɛ4 carriers with SCD. Furthermore, there was a linear trend toward better cognitive performance on all cognitive measures in the BR+/CR+ group, followed by the BR-/CR+, BR+/CR-, and BR-/CR-groups. CONCLUSION This study suggests that both CR and BR have the potential to delay or slow cognitive decline in individuals with SCD.
Collapse
Affiliation(s)
- Kun Yang
- Department of Evidence-based Medicine, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Guanqun Chen
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China.,National Clinical Research Center for Geriatric Disorders, Beijing, China
| | - Can Sheng
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Yunyan Xie
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Yuxia Li
- Central Laboratory, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Xiaochen Hu
- Department of Psychiatry and Psychotherapy, University of Cologne, Medical Faculty, Cologne, Germany
| | - Yu Sun
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Ying Han
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China.,Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, China.,National Clinical Research Center for Geriatric Disorders, Beijing, China
| |
Collapse
|
156
|
Schwilk N, Klöppel S, Schmidtke K, Metternich B. Functional cognitive disorder in subjective cognitive decline-A 10-year follow-up. Int J Geriatr Psychiatry 2021; 36:677-683. [PMID: 33166421 DOI: 10.1002/gps.5466] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Revised: 09/19/2020] [Accepted: 11/01/2020] [Indexed: 01/03/2023]
Abstract
OBJECTIVES In memory clinics, patients with significant memory complaints without objective neuropsychological findings are common. They are classified as subjective cognitive decline (SCD) and, as a group, face a heightened risk for future dementia. However, the SCD group is heterogeneous and comprises patients suffering from a somatoform condition, namely functional cognitive disorder (FCD). These patients make up at least 11% of memory clinics' attendees. The aim of this long-term follow-up study was to investigate if patients diagnosed with FCD also face a higher risk of developing dementia. METHODS Forty-two Patients were recruited at a university hospital memory clinic. FCD was diagnosed according to the Schmidtke criteria (see Table 1). Ten years later, all were invited again. Participants were interviewed, screened for depression and given neuropsychological tests of verbal memory and information processing speed. Cognitive impairment was defined as performance below 1.5 standard deviations (SD) of the age-related mean. RESULTS Twenty-eight of 42 patients (67%) took part in this follow-up. The group's mean results in both cognitive measures were stable over time. All individual performances were within 1.5 SD. With 10 patients (24%), brief contact was successful and manifest dementia could be excluded. Four patients (10%) could not be contacted. CONCLUSIONS In retrospect, the Schmidtke criteria for FCD safely identified memory clinic attendees with SCD who did not proceed to Mild Cognitive Impairment or dementia. None of the patients who could be contacted for this follow-up after a decade (90% of baseline participants) showed signs of dementia.
Collapse
Affiliation(s)
- Nora Schwilk
- Department of Psychosomatic Medicine and Psychotherapy, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Stefan Klöppel
- University Hospital of Old Age Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | | | - Birgitta Metternich
- Department of Neurosurgery, Epilepsy Center, Medical Center-University of Freiburg, Freiburg, Germany
| |
Collapse
|
157
|
Effects of Combined Physical Activity and Cognitive Training on Cognitive Function in Older Adults with Subjective Cognitive Decline: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE 2021. [DOI: 10.1155/2021/8882961] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Background. Subjective cognitive decline (SCD) is recognized as the earliest prodromal stage of Alzheimer’s disease (AD). Emerging studies explored the effects of combined physical activity and cognitive training interventions on cognitive ability, psychological well-being, and emotion of older adults with SCD, but the results are now still controversial. Objective. This study systematically evaluated the enhancement effects of the combined physical-cognitive interventions on memory self-efficacy, objective cognitive function, psychological well-being, and emotion of older adults with SCD. Methods. Data sources PubMed, EMBASE, Web of Science, China National Knowledge Infrastructure (CNKI), Wanfang degree and conference papers database, Chinese Science and Technology Periodical (VIP) databases from their inception to 28 February 2020, the Cochrane Central Register of Controlled Trials (Cochrane Library, 2020, Issue 3), and the reference lists of all retrieved articles were searched. Data analysis and bias risk evaluation were conducted in 2020. Two reviewers (SG and YY) independently evaluated the risk of bias of the included studies using the RoB 2 tool. Results. Eleven RCTs involving 1713 participants with SCD (age 68.0 ± 6.1) were included for review and meta-analysis. The interventions in the included studies were physical activity combined with cognitive training. Multiple-modality exercise with mind-motor training, supervised strategy-based memory training sequentially after stationary cycling, Dejian Mind-Body intervention, and physical activity and cognitive stimulation were also practiced. Conclusions. Compared to the active or nonactive control groups, the combined interventions are effective in improving objective cognitive function in SCD which may show the potential value of combined physical-cognitive interventions in improving objective cognitive ability and preventing the conversion of SCD to MCI or AD and no adverse effects. However, owing to the limitations of the included studies, these findings should be interpreted cautiously.
Collapse
|
158
|
Wang Z, Zhang Y, Dong L, Zheng Z, Zhong D, Long X, Cai Q, Jian W, Zhang S, Wu W, Yao D. Effects of Morning Blue-Green 500 nm Light Therapy on Cognition and Biomarkers in Middle-Aged and Older Adults with Subjective Cognitive Decline and Mild Cognitive Impairment: Study Protocol for a Randomized Controlled Trial. J Alzheimers Dis 2021; 83:1521-1536. [PMID: 33843675 DOI: 10.3233/jad-201560] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Given that there is no specific drug to treat Alzheimer's disease, non-pharmacologic interventions in people with subjective cognitive decline (SCD) and amnestic mild cognitive impairment (aMCI) are one of the most important treatment strategies. OBJECTIVE To clarify the efficacy of blue-green (500 nm) light therapy on sleep, mood, and physiological parameters in patients with SCD and aMCI is an interesting avenue to explore. METHODS This is a monocentric, randomized, and controlled trial that will last for 4 weeks. We will recruit 150 individuals aged 45 years or older from memory clinics and divide them into 5 groups: SCD treatment (n = 30), SCD control (n = 30), aMCI treatment (n = 30), aMCI control (n = 30), and a group of healthy adult subjects (n = 30) as a normal control (NC). RESULTS The primary outcome is the change in subjective and objective cognitive performance between baseline and postintervention visits (4 weeks after baseline). Secondary outcomes include changes in performance assessing from baseline, postintervention to follow-up (3 months after the intervention), as well as sleep, mood, and physiological parameters (including blood, urine, electrophysiology, and neuroimaging biomarkers). CONCLUSION This study aims to provide evidence of the impact of light therapy on subjective and objective cognitive performance in middle-aged and older adults with SCD or aMCI. In addition, we will identify possible neurophysiological mechanisms of action underlying light therapy. Overall, this trial will contribute to the establishment of light therapy in the prevention of Alzheimer's disease.
Collapse
Affiliation(s)
- Ziqi Wang
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.,The Memory Clinic of department of Neurology, Chengdu Western Hospital, Chengdu, China
| | - Yige Zhang
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Li Dong
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.,Research Unit of NeuroInformation, Chinese Academy of Medical Sciences, Chengdu, China.,Sichuan Institute for Brain Science and Brain-Inspired Intelligence, Chengdu, China
| | - Zihao Zheng
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Dayong Zhong
- Sichuan Provincial Revolutionary Disabled Soldiers Hospital, Chengdu, China
| | - Xunqin Long
- The Memory Clinic of department of Neurology, Chengdu Western Hospital, Chengdu, China
| | - Qingyan Cai
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Wei Jian
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Songge Zhang
- The Memory Clinic of department of Neurology, Chengdu Western Hospital, Chengdu, China
| | - Wenbin Wu
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Dezhong Yao
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.,Research Unit of NeuroInformation, Chinese Academy of Medical Sciences, Chengdu, China.,School of Electrical Engineering, Zhengzhou University, Zhengzhou, China.,Sichuan Institute for Brain Science and Brain-Inspired Intelligence, Chengdu, China
| |
Collapse
|
159
|
Rivera-Fernández C, Custodio N, Soto-Añari M. Neuropsychological profile in the preclinical stages of dementia: principal component analysis approach. Dement Neuropsychol 2021; 15:192-199. [PMID: 34345360 PMCID: PMC8283881 DOI: 10.1590/1980-57642021dn15-020006] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Accepted: 01/19/2021] [Indexed: 12/27/2022] Open
Abstract
The preclinical stages of dementia include subtle neurocognitive changes that are not easily detected in standard clinical evaluations. Neuropsychological evaluation is important for the classification and prediction of deterioration in all the phases of dementia.
Collapse
|
160
|
Mogle J, Hill NL, Bell TR, Bhargava S, Bratlee-Whitaker E. The Factor Structure of Items Assessing Subjective Memory: Between-Persons and Within-Persons across Time. Gerontology 2021; 67:357-364. [PMID: 33706325 DOI: 10.1159/000513728] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Accepted: 12/13/2020] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION Current understanding of the psychometric properties of items intended to assess the multidimensional construct of subjective memory (SM) is limited, as longitudinal studies of aging commonly use single items or brief sets of items to assess SM. Investigating how SM items cluster within individuals over time would increase the understanding of how combining these items impacts their utility as an early indicator of cognitive change in the aging trajectory. To address this need, the current study examined the factor structure of a brief set of SM items in an existing longitudinal study focused on cognitive aging at both the within-person and between-person levels. METHODS Data were drawn from the Einstein Aging Study, a longitudinal cohort study of aging (N = 1,239, Mage = 77.51, SD = 5.03; 69.50% white; 24.27% black; 6.23% other). Community-dwelling older adults from an urban area of New York City were interviewed annually. At each wave, participants responded to 6 items intended to assess SM. Items assessed participants' perceived memory decline as well as current memory ability. Multilevel exploratory factor analyses examined which factor solution best fit the data at between-person and within-person levels. RESULTS Factor structure of the SM items varied at the two levels. At the within-person level, two factors emerged, whereas at the between-person level, a single factor best represented the SM items. Items assessing perceived declines in memory functioning tended to have similar trajectories, while items assessing current memory ability were less related to change over time. CONCLUSION Items appeared to assess two different dimensions of SM when examining within-person changes in SM across time; however, the item structure suggested no other items covaried systematically within persons over time. In contrast to the conceptualization of SM as a multidimensional construct, our findings suggest that when measuring SM between individuals, SM items tend to capture a single dimension underlying SM. This may be due to the long retrospection period of items assessing perceived memory ability. A single item assessing perceived memory decline in older adults without evidence of objective cognitive impairment may be sufficient to monitor memory change in clinical or research settings.
Collapse
Affiliation(s)
- Jacqueline Mogle
- Edna Bennett Pierce Prevention Research Center, The Pennsylvania State University, University Park, Pennsylvania, USA,
| | - Nikki L Hill
- College of Nursing, The Pennsylvania State University, University Park, Pennsylvania, USA
| | - Tyler Reed Bell
- Department of Psychiatry, University of California San Diego, La Jolla, California, USA
| | - Sakshi Bhargava
- College of Nursing, The Pennsylvania State University, University Park, Pennsylvania, USA
| | - Emily Bratlee-Whitaker
- College of Nursing, The Pennsylvania State University, University Park, Pennsylvania, USA
| |
Collapse
|
161
|
Innes KE, Montgomery C, Selfe TK, Wen S, Khalsa DS, Flick M. Incorporating a Usual Care Comparator into a Study of Meditation and Music Listening for Older Adults with Subjective Cognitive Decline: A Randomized Feasibility Trial. J Alzheimers Dis Rep 2021; 5:187-206. [PMID: 33981956 PMCID: PMC8075554 DOI: 10.3233/adr-200249] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/31/2021] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND Recent studies suggest meditation and music listening (ML) may improve cognitive and psychosocial outcomes in adults with subjective cognitive decline (SCD). However, lack of a usual care group has limited conclusions. OBJECTIVE To assess the: 1) feasibility of incorporating an enhanced usual care (EUC) comparator in a trial of Kirtan Kriya meditation (KK) and ML for adults experiencing SCD; and 2) preliminary effects of active treatment (KK/ML) versus an EUC program. METHODS Forty participants with SCD were randomized 1:1:2 to a 12-week KK, ML, or EUC program. KK and ML participants were asked to practice 12 minutes/day; EUC participants were given a comprehensive educational packet regarding healthy aging and strategies for improving/maintaining brain health and asked to record any activities or strategies used. Feasibility was assessed using measures of retention, adherence, treatment expectancies, and participant satisfaction, as well as information from exit questionnaires and daily practice/activity logs. Cognitive functioning, stress, mood, sleep-quality, and health-related quality of life (QOL) were measured pre- and post-intervention using well-validated instruments. RESULTS Thirty-two participants (80%) completed the 3-month study, with retention highest in the EUC group (p < 0.05). Active treatment participants averaged 6.0±0.4 practice sessions/week, and EUC participants, 7.5±0.6 brain health activities/week. Treatment expectancies were similar across groups. EUC participants indicated high satisfaction with the program and study. Despite limited study power, the active treatment group showed significantly greater gains in subjective memory functioning (ps≤0.025) and nonsignificant improvements in cognitive performance (TMT-B), perceived stress, QOL, and mood (ps≤0.08) compared to the EUC group. CONCLUSION Findings of this pilot feasibility trial suggest incorporation of an EUC program is feasible, and that participation in a simple 12-week relaxation program may be helpful for adults with SCD versus engagement in an EUC program.
Collapse
Affiliation(s)
- Kim E. Innes
- Department of Epidemiology, West Virginia University School of Public Health, Morgantown, WV, USA
| | - Caitlin Montgomery
- Department of Epidemiology, West Virginia University School of Public Health, Morgantown, WV, USA
| | - Terry Kit Selfe
- Health Science Center Libraries, University of Florida, Gainesville, FL, USA
| | - Sijin Wen
- Department of Biostatistics, West Virginia University School of Public Health, Morgantown, WV, USA
| | | | - Madison Flick
- Department of Communication Sciences and Disorders, West Virginia University HSC, Morgantown, WV, USA
| |
Collapse
|
162
|
Diaz-Galvan P, Ferreira D, Cedres N, Falahati F, Hernández-Cabrera JA, Ames D, Barroso J, Westman E. Comparing different approaches for operationalizing subjective cognitive decline: impact on syndromic and biomarker profiles. Sci Rep 2021; 11:4356. [PMID: 33623075 PMCID: PMC7902653 DOI: 10.1038/s41598-021-83428-1] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Accepted: 02/01/2021] [Indexed: 01/31/2023] Open
Abstract
Subjective cognitive decline (SCD) has been proposed as a risk factor for future cognitive decline and dementia. Given the heterogeneity of SCD and the lack of consensus about how to classify this condition, different operationalization approaches still need to be compared. In this study, we used the same sample of individuals to compare different SCD operationalization approaches. We included 399 cognitively healthy individuals from a community-based cohort. SCD was assessed through nine questions about memory and non-memory subjective complaints. We applied four approaches to operationalize SCD: two hypothesis-driven approaches and two data-driven approaches. We characterized the resulting groups from each operationalization approach using multivariate methods on comprehensive demographic, clinical, cognitive, and neuroimaging data. We identified two main phenotypes: an amnestic phenotype characterized by an Alzheimer's Disease (AD) signature pattern of brain atrophy; and an anomic phenotype, which was mainly related to cerebrovascular pathology. Furthermore, language complaints other than naming helped to identify a subgroup with subclinical cognitive impairment and difficulties in activities of daily living. This subgroup also showed an AD signature pattern of atrophy. The identification of SCD phenotypes, characterized by different syndromic and biomarker profiles, varies depending on the operationalization approach used. In this study we discuss how these findings may be used in clinical practice and research.
Collapse
Affiliation(s)
- Patricia Diaz-Galvan
- grid.10041.340000000121060879Department of Clinical Psychology, Psychobiology, and Methodology, Faculty of Psychology and Speech Therapy, University of La Laguna, La Laguna, Tenerife, Spain ,grid.4714.60000 0004 1937 0626Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Daniel Ferreira
- grid.10041.340000000121060879Department of Clinical Psychology, Psychobiology, and Methodology, Faculty of Psychology and Speech Therapy, University of La Laguna, La Laguna, Tenerife, Spain ,grid.4714.60000 0004 1937 0626Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Nira Cedres
- grid.4714.60000 0004 1937 0626Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Farshad Falahati
- grid.4714.60000 0004 1937 0626Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Juan Andrés Hernández-Cabrera
- grid.10041.340000000121060879Department of Clinical Psychology, Psychobiology, and Methodology, Faculty of Psychology and Speech Therapy, University of La Laguna, La Laguna, Tenerife, Spain
| | - David Ames
- grid.1008.90000 0001 2179 088XAcademic Unit for Psychiatry of Old Age (St. Vincent’s Health), University of Melbourne, Kew, VIC Australia ,grid.429568.40000 0004 0382 5980National Ageing Research Institute, Parkville, VIC Australia
| | - Jose Barroso
- grid.10041.340000000121060879Department of Clinical Psychology, Psychobiology, and Methodology, Faculty of Psychology and Speech Therapy, University of La Laguna, La Laguna, Tenerife, Spain
| | - Eric Westman
- grid.4714.60000 0004 1937 0626Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden ,grid.13097.3c0000 0001 2322 6764Department of Neuroimaging, Center for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| |
Collapse
|
163
|
Vergallo A, Lista S, Zhao Y, Lemercier P, Teipel SJ, Potier MC, Habert MO, Dubois B, Lukiw WJ, Hampel H. MiRNA-15b and miRNA-125b are associated with regional Aβ-PET and FDG-PET uptake in cognitively normal individuals with subjective memory complaints. Transl Psychiatry 2021; 11:78. [PMID: 33504764 PMCID: PMC7840941 DOI: 10.1038/s41398-020-01184-8] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Revised: 12/07/2020] [Accepted: 12/15/2020] [Indexed: 01/30/2023] Open
Abstract
There is substantial experimental evidence for dysregulation of several microRNA (miRNA) expression levels in Alzheimer's disease (AD). MiRNAs modulate critical brain intracellular signaling pathways and are associated with AD core pathophysiological mechanisms. First, we conducted a real-time quantitative PCR-based pilot study to identify a set of brain-enriched miRNAs in a monocentric cohort of cognitively normal individuals with subjective memory complaints, a condition associated with increased risk of AD. Second, we investigated the impact of age, sex, and the Apolipoprotein E ε4 (APOE ε4) allele, on the identified miRNA plasma concentrations. In addition, we explored the cross-sectional and longitudinal association of the miRNAs plasma concentrations with regional brain metabolic uptake using amyloid-β (Aβ)-positron emission tomography (Aβ-PET) and 18F-fluorodeoxyglucose-PET (18F-FDG-PET). We identified a set of six brain-enriched miRNAs-miRNA-125b, miRNA-146a, miRNA-15b, miRNA-148a, miRNA-26b, and miRNA-100. Age, sex, and APOE ε4 allele were not associated with individual miRNA abundance. MiRNA-15b concentrations were significantly lower in the Aβ-PET-positive compared to Aβ-PET-negative individuals. Furthermore, we found a positive effect of the miRNA-15b*time interaction on regional metabolic 18F-FDG-PET uptake in the left hippocampus. Plasma miRNA-125b concentrations, as well as the miRNA-125b*time interaction (over a 2-year follow-up), were negatively associated with regional Aβ-PET standard uptake value ratio in the right anterior cingulate cortex. At baseline, we found a significantly negative association between plasma miRNA-125b concentrations and 18F-FDG-PET uptake in specific brain regions. In an asymptomatic at-risk population for AD, we show significant associations between plasma concentrations of miRNA-125b and miRNA-15b with core neuroimaging biomarkers of AD pathophysiology. Our results, coupled with existing experimental evidence, suggest a potential protective anti-Aβ effect of miRNA-15b and a biological link between miRNA-125b and Aβ-independent neurotoxic pathways.
Collapse
Affiliation(s)
- Andrea Vergallo
- Sorbonne University, GRC n° 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital, Boulevard de l'hôpital, F-75013, Paris, France.
| | - Simone Lista
- Sorbonne University, GRC n° 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital, Boulevard de l’hôpital, F-75013 Paris, France ,grid.411439.a0000 0001 2150 9058Brain & Spine Institute (ICM), INSERM U 1127, CNRS UMR 7225, Boulevard de l’hôpital, F-75013 Paris, France ,grid.411439.a0000 0001 2150 9058Institute of Memory and Alzheimer’s Disease (IM2A), Department of Neurology, Pitié-Salpêtrière Hospital, AP-HP, Boulevard de l’hôpital, F-75013 Paris, France
| | - Yuhai Zhao
- grid.279863.10000 0000 8954 1233LSU Neuroscience Center, Louisiana State University Health Science Center, New Orleans, LA 70112 USA ,grid.279863.10000 0000 8954 1233Department of Cell Biology and Anatomy, Louisiana State University Health Science Center, New Orleans, LA 70112 USA
| | - Pablo Lemercier
- Sorbonne University, GRC n° 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital, Boulevard de l’hôpital, F-75013 Paris, France ,grid.411439.a0000 0001 2150 9058Brain & Spine Institute (ICM), INSERM U 1127, CNRS UMR 7225, Boulevard de l’hôpital, F-75013 Paris, France ,grid.411439.a0000 0001 2150 9058Institute of Memory and Alzheimer’s Disease (IM2A), Department of Neurology, Pitié-Salpêtrière Hospital, AP-HP, Boulevard de l’hôpital, F-75013 Paris, France
| | - Stefan J. Teipel
- grid.424247.30000 0004 0438 0426German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany ,grid.10493.3f0000000121858338Department of Psychosomatic Medicine, University Medicine Rostock, Rostock, Germany
| | - Marie-Claude Potier
- grid.411439.a0000 0001 2150 9058ICM Institut du Cerveau et de la Moelle épinière, CNRS UMR7225, INSERM U1127, UPMC, Hôpital de la Pitié-Salpêtrière, 47 Bd de l’Hôpital, F-75013 Paris, France
| | - Marie-Odile Habert
- grid.503298.50000 0004 0370 0969Sorbonne Université, CNRS, INSERM, Laboratoire d’Imagerie Biomédicale, F-75013 Paris, France ,Centre pour l’Acquisition et le Traitement des Images (www.cati-neuroimaging.com), Paris, France ,grid.411439.a0000 0001 2150 9058AP-HP, Hôpital Pitié-Salpêtrière, Département de Médecine Nucléaire, F-75013 Paris, France
| | - Bruno Dubois
- Sorbonne University, GRC n° 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital, Boulevard de l’hôpital, F-75013 Paris, France ,grid.411439.a0000 0001 2150 9058Brain & Spine Institute (ICM), INSERM U 1127, CNRS UMR 7225, Boulevard de l’hôpital, F-75013 Paris, France ,grid.411439.a0000 0001 2150 9058Institute of Memory and Alzheimer’s Disease (IM2A), Department of Neurology, Pitié-Salpêtrière Hospital, AP-HP, Boulevard de l’hôpital, F-75013 Paris, France
| | - Walter J. Lukiw
- Alchem Biotech Research, Toronto, ON M5S 1A8 Canada ,grid.279863.10000 0000 8954 1233Department of Ophthalmology, LSU Neuroscience Center, Louisiana State University Health Science Center, New Orleans, LA 70112 USA ,grid.279863.10000 0000 8954 1233Department Neurology, LSU Neuroscience Center Louisiana State University Health Science Center, New Orleans, LA 70112 USA
| | - Harald Hampel
- Sorbonne University, GRC n° 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital, Boulevard de l’hôpital, F-75013 Paris, France
| | | | | |
Collapse
|
164
|
Caughie C, Bean P, Tiede P, Cobb J, McFarland C, Hall S. Dementia Worry and Neuropsychological Performance in Healthy Older Adults. Arch Clin Neuropsychol 2021; 36:29-36. [PMID: 32793959 DOI: 10.1093/arclin/acaa057] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Revised: 05/22/2020] [Accepted: 07/07/2020] [Indexed: 02/06/2023] Open
Abstract
OBJECTIVE Dementia is one of the most feared diseases in American society. However, limited research exists regarding how worrying about dementia may influence peoples' cognitive abilities. The current study examines how dementia worry affects performance on neuropsychological domains of executive function, memory, attention, and processing speed in a healthy older adult population. METHOD Participants (n = 40) were screened for depression using the Patient Health Questionnaire-8 (PHQ-8, scores > 10 were excluded) and for mild cognitive impairment using the Telephone Interview for Cognitive Status (TICS, scores < 32 were excluded). All participants were administered common neuropsychological tests of executive function, memory, attention, and processing speed. Participants were also asked to complete the Dementia Worry Scale (DWS), a measure assessing the level of dementia worry individuals experience in daily life. RESULTS A multivariate effect of dementia worry on neuropsychological measures of executive function was supported. Specifically, higher levels of dementia worry were significantly related to poorer performance on combined measures of executive function (Wilk's Lambda = 0.821, F (2, 36) = 3.934, p = .028). CONCLUSIONS Dementia worry significantly affects scores on specific neuropsychological measures. Inasmuch, dementia worry may have both functional implications for older adults, as well as assessment implications for practicing neuropsychologists. Further research is necessary to parse apart whether dementia worry represents a psychological variable affecting cognitive performance and/or serves as an early marker of cognitive decline.
Collapse
Affiliation(s)
- Cali Caughie
- Department of Psychology, University of Montana, Missoula, MT, USA
| | - Phoebe Bean
- Department of Psychology, University of Montana, Missoula, MT, USA
| | - Paul Tiede
- Department of Psychology, University of Montana, Missoula, MT, USA
| | - Joshua Cobb
- Department of Psychology, University of Montana, Missoula, MT, USA
| | - Craig McFarland
- Department of Psychology, University of Montana, Missoula, MT, USA
| | - Stuart Hall
- Department of Psychology, University of Montana, Missoula, MT, USA
| |
Collapse
|
165
|
Lowe DA, Linck JF. Item Response Theory Analysis of the Texas Functional Living Scale. Arch Clin Neuropsychol 2021; 36:135-144. [PMID: 32722804 DOI: 10.1093/arclin/acaa051] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Revised: 06/05/2020] [Accepted: 06/23/2020] [Indexed: 11/12/2022] Open
Abstract
OBJECTIVE The Texas Functional Living Scale (TFLS) is a performance-based measure of functional abilities assessing the domains of time, money and calculation, communication, and memory. It is likely that certain items are more sensitive at different levels of functional impairment, with some signaling milder degrees of functional difficulty. This study analyzed psychometric characteristics of individual TFLS items using item response theory (IRT) in an outpatient clinical sample. METHOD In total, 270 adult outpatients completed the TFLS during clinical neuropsychological evaluation. IRT analysis using 2PL and graded response model was applied to the TFLS. RESULTS Item parameters, item characteristic curves, and information curves were produced. Item difficulty (a) parameters ranged from 1.05 to 2.23, and item discrimination (b) parameters ranged from -4.11 to 0.51. CONCLUSIONS TFLS items were differentially sensitive along the continuum of functional impairment. Items that were most sensitive to milder degrees of functional impairment involved clock drawing, microwave programming, financial calculation, and prospective memory. Other items that were optimally precise in more severe degrees of functional impairment involved interacting with a calendar and a relatively simple financial calculation task. These findings suggest that the ability to pass at least some of the items on the TFLS may not necessarily reflect fully intact functional abilities. Certain TFLS items may be able to detect the presence of subtle functional difficulties.
Collapse
Affiliation(s)
- Deborah A Lowe
- University of Oklahoma Health Sciences Center, Department of Psychiatry & Behavioral Sciences, Oklahoma City, OK, USA
| | - John F Linck
- University of Oklahoma Health Sciences Center, Department of Psychiatry & Behavioral Sciences, Oklahoma City, OK, USA
| |
Collapse
|
166
|
Ismail Z, McGirr A, Gill S, Hu S, Forkert ND, Smith EE. Mild Behavioral Impairment and Subjective Cognitive Decline Predict Cognitive and Functional Decline. J Alzheimers Dis 2021; 80:459-469. [PMID: 33554909 PMCID: PMC8075401 DOI: 10.3233/jad-201184] [Citation(s) in RCA: 76] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/28/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND Mild behavioral impairment (MBI) and subjective cognitive decline (SCD) are dementia risk states, and potentially represent neurobehavioral and neurocognitive manifestations, respectively, of early stage neurodegeneration. Both MBI and SCD predict incident cognitive decline and dementia, are associated with known dementia biomarkers, and are both represented in the NIA-AA research framework for AD in Stage 2 (preclinical disease). OBJECTIVE To assess the associations of MBI and SCD, alone and in combination, with incident cognitive and functional decline in a population of older adults. We tested the hypothesis that MBI and SCD confer additive risk for decline. METHODS Cognitively normal participants were followed up annually at Alzheimer's Disease Centers. Logistic regression assessed the relationship between baseline classification (MBI-SCD-, MBI-SCD+, MBI+SCD-, or MBI+SCD+) and 3-year outcome. RESULTS Of 2,769 participants (mean age=76), 1,536 were MBI-SCD-, 254 MBI-SCD+, 743 MBI+SCD-, and 236 MBI+SCD+. At 3 years, 349 (12.6%) declined to CDR >0, including 23.1% of the MBI+group, 23.5% of the SCD+group, and 30.9% of the intersection group of both MBI+and SCD+participants. Compared to SCD-MBI-, we observed an ordinal progression in risk (ORs [95% CI]): 3.61 [2.42-5.38] for MBI-SCD+ (16.5% progression), 4.76 [3.57-6.34] for MBI+SCD- (20.7%), and 8.15 [5.71-11.64] for MBI+SCD+(30.9%). CONCLUSION MBI and SCD together were associated with the greatest risk of decline. These complementary dementia risk syndromes can be used as simple and scalable methods to identify high-risk patients for workup or for clinical trial enrichment.
Collapse
Affiliation(s)
- Zahinoor Ismail
- Department of Psychiatry, University of Calgary, Calgary, Canada
- Department of Clinical Neurosciences, University of Calgary, Calgary, Canada
- Department of Community Health Sciences, University of Calgary, Calgary, Canada
- Hotchkiss Brain Institute, Cumming School of Medicine, Calgary, Canada
- O’Brien Institute for Public Health, Cumming School of Medicine, Calgary, Canada
| | - Alexander McGirr
- Department of Psychiatry, University of Calgary, Calgary, Canada
- Hotchkiss Brain Institute, Cumming School of Medicine, Calgary, Canada
| | - Sascha Gill
- Hotchkiss Brain Institute, Cumming School of Medicine, Calgary, Canada
| | - Sophie Hu
- Hotchkiss Brain Institute, Cumming School of Medicine, Calgary, Canada
| | - Nils D. Forkert
- Department of Clinical Neurosciences, University of Calgary, Calgary, Canada
- Hotchkiss Brain Institute, Cumming School of Medicine, Calgary, Canada
- Department of Radiology, University of Calgary, Calgary, Canada
| | - Eric E. Smith
- Department of Clinical Neurosciences, University of Calgary, Calgary, Canada
- Department of Community Health Sciences, University of Calgary, Calgary, Canada
- Hotchkiss Brain Institute, Cumming School of Medicine, Calgary, Canada
- Department of Radiology, University of Calgary, Calgary, Canada
| |
Collapse
|
167
|
Gustavson DE, Jak AJ, Elman JA, Panizzon MS, Franz CE, Gifford KA, Reynolds CA, Toomey R, Lyons MJ, Kremen WS. How Well Does Subjective Cognitive Decline Correspond to Objectively Measured Cognitive Decline? Assessment of 10-12 Year Change. J Alzheimers Dis 2021; 83:291-304. [PMID: 34308902 PMCID: PMC8482061 DOI: 10.3233/jad-210123] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Although not strongly correlated with current objective cognitive ability, subjective cognitive decline (SCD) is a risk factor for Alzheimer's disease. Most studies focus on SCD in relation to future decline rather than objective prior decline that it purportedly measures. OBJECTIVE We evaluated whether self-report of cognitive decline-as a continuous measure-corresponds to objectively-assessed episodic memory and executive function decline across the same period. METHODS 1,170 men completed the Everyday Cognition Questionnaire (ECog) at mean age 68 assessing subjective changes in cognitive ability relative to 10 years prior. A subset had mild cognitive impairment (MCI), but MCI was diagnosed without regard to subjective decline. Participants completed up to 3 objective assessments of memory and executive function (M = 56, 62, and 68 years). Informant-reported ECogs were completed for 1,045 individuals. Analyses controlled for depression and anxiety symptoms assessed at mean age 68. RESULTS Participant-reported ECog scores were modestly associated with objective decline for memory (β= -0.23, 95%CI [-0.37, -0.10]) and executive function (β= -0.19, 95%CI [-0.33, -0.05]) over the same time period. However, these associations were nonsignificant after excluding MCI cases. Results were similar for informant ratings. Participant-rated ECog scores were more strongly associated with concurrent depression and anxiety symptoms, (β= 0.44, 95%CI [0.36, 0.53]). CONCLUSION Continuous SCD scores are correlated with prior objective cognitive changes in non-demented individuals, though this association appears driven by individuals with current MCI. However, participants' current depression and anxiety ratings tend to be strongly associated with their SCD ratings. Thus, what primarily drives SCD ratings remains unclear.
Collapse
Affiliation(s)
- Daniel E. Gustavson
- Department of Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN
- Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University Medical Center, Nashville, TN
| | - Amy J. Jak
- Department of Psychiatry, University of California, San Diego, La Jolla, CA
- Psychology Service, Veterans Affairs San Diego Healthcare system, La Jolla, CA
| | - Jeremy A. Elman
- Department of Psychiatry, University of California, San Diego, La Jolla, CA
- Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA
| | - Matthew S. Panizzon
- Department of Psychiatry, University of California, San Diego, La Jolla, CA
- Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA
| | - Carol E. Franz
- Department of Psychiatry, University of California, San Diego, La Jolla, CA
- Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA
| | - Katherine A. Gifford
- Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University Medical Center, Nashville, TN
| | - Chandra A. Reynolds
- Department of Psychology, University of California, Riverside, Riverside, CA
| | - Rosemary Toomey
- Department of Psychological and Brain Sciences, Boston University, Boston, MA
| | - Michael J. Lyons
- Department of Psychological and Brain Sciences, Boston University, Boston, MA
| | - William S. Kremen
- Department of Psychiatry, University of California, San Diego, La Jolla, CA
- Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA
- Center of Excellence for Stress and Mental Health, Veterans Affairs San Diego Healthcare System, La Jolla, CA
| |
Collapse
|
168
|
Chen G, Zhao M, Yang K, Lin H, Han C, Wang X, Han Y. Education Exerts Different Effects on Cognition in Individuals with Subjective Cognitive Decline and Cognitive Impairment: A Population-Based Study. J Alzheimers Dis 2020; 79:653-661. [PMID: 33337379 DOI: 10.3233/jad-201170] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
BACKGROUND Education plays a potential important effect on the prevalence and incidence of dementia. However, most of the evidence based on convenience sampling. OBJECTIVE To explore effects of education on cognition in individuals with subjective cognitive decline (SCD) and cognitive impairment (CI) from a population-based study. METHODS We examined the effect of education on cognition among individuals with SCD (n = 451) and CI (n = 280) from a population-based study. A series of neuropsychological tests of memory, executive, language, and general cognitive function were used to assess the participants. RESULTS Multiple regression analyses revealed that education has a positive effect on cognition in both SCD and CI group in the population-based research. Further stratification study showed that the beneficial effect of education remains in the SCD group regardless of the education level, especially in the SCD participants with a low education level. However, that effect of education exists in the CI group with a low education level and disappears in the high education level. CONCLUSION These results from a population-based sample suggest that high educational attainment may delay cognitive decline in the individuals with SCD regardless of high or low educational level, and high education only predicts cognition in those in the low educational level in CI group.
Collapse
Affiliation(s)
- Guanqun Chen
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China.,National Clinical Research Center for Geriatric Disorders, Beijing, China
| | - Mingyan Zhao
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China.,Department of Neurology, Tangshan Gongren Hospital, Tangshan, China
| | - Kun Yang
- Department of Evidence-based Medicine, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Hua Lin
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Chunlei Han
- Turku PET Centre, University of Turku, Turku, Finland
| | - Xiaoni Wang
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Ying Han
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China.,National Clinical Research Center for Geriatric Disorders, Beijing, China.,Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, China
| |
Collapse
|
169
|
Jessen F, Kleineidam L, Wolfsgruber S, Bickel H, Brettschneider C, Fuchs A, Kaduszkiewicz H, König HH, Mallon T, Mamone S, Pabst A, Pentzek M, Roehr S, Weeg D, Jochen W, Weyerer S, Wiese B, Maier W, Scherer M, Riedel-Heller S, Wagner M. Prediction of dementia of Alzheimer type by different types of subjective cognitive decline. Alzheimers Dement 2020; 16:1745-1749. [PMID: 33140565 DOI: 10.1002/alz.12163] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2020] [Revised: 06/12/2020] [Accepted: 07/07/2020] [Indexed: 11/07/2022]
Abstract
INTRODUCTION Subjective cognitive decline (SCD) is a risk condition for dementia, including dementia of Alzheimer type (DAT). METHODS We report sensitivity, specificity, positive and negative predictive values (PPV, NPV) for conversion to all-cause dementia, and DAT in different SCD types (decline in memory, assocated worries, longitudinal consitency, of the AgeCoDe study (n = 2.402, 12 years follow-up). RESULTS 82.7% of those converting to any dementia and 84.4% of those converting with DAT at follow-up, reported memory decline and fulfilled criteria of SCD at least at one time point before. SCD with worries at two consecutive time points showed a specificity of 92.2% for any dementia and also for DAT as well as a PPV of 44.3% for any dementia and of 36.9% for DAT at follow-up at the expense of low sensitivity. DISCUSSION Different SCD subtypes were either sensitive or specific for future all-cause dementia and DAT in cognitively unimpaired individuals. Modest PPV of the most specific SCD subtypes were achieved in this low prevalence population.
Collapse
Affiliation(s)
- Frank Jessen
- Department of Psychiatry, Medical Faculty, University of Cologne, Cologne, Germany.,German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany
| | - Luca Kleineidam
- Department of Psychiatry, Medical Faculty, University of Cologne, Cologne, Germany.,German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department of Neurodegeneration and Geriatric Psychiatry, University of Bonn, Bonn, Germany
| | - Steffen Wolfsgruber
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department of Neurodegeneration and Geriatric Psychiatry, University of Bonn, Bonn, Germany
| | - Horst Bickel
- Department of Psychiatry, Technical University of Munich, Klinikum rechts der Isar, Munich, Germany
| | - Christian Brettschneider
- Department of Health Economics and Health Services Research, Hamburg Center for Health Economics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Angela Fuchs
- Institute of General Practice, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Hanna Kaduszkiewicz
- Department of Primary Medical Care, Center for Psychosocial Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Hans-Helmut König
- Department of Health Economics and Health Services Research, Hamburg Center for Health Economics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Tina Mallon
- Department of Primary Medical Care, Center for Psychosocial Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Silke Mamone
- Institute for General Practice, Work Group Medical Statistics and IT-Infrastructure, Hannover Medical School, Hannover, Germany
| | - Alexander Pabst
- Institute of Social Medicine, Occupational Health and Public Health (ISAP), Faculty of Medicine, University of Leipzig, Leipzig, Germany
| | - Michael Pentzek
- Institute of General Practice, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Susanne Roehr
- Institute of Social Medicine, Occupational Health and Public Health (ISAP), Faculty of Medicine, University of Leipzig, Leipzig, Germany
| | - Dagmar Weeg
- Department of Psychiatry, Technical University of Munich, Klinikum rechts der Isar, Munich, Germany
| | - Werle Jochen
- Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
| | - Siegfried Weyerer
- Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
| | - Birgitt Wiese
- Institute for General Practice, Work Group Medical Statistics and IT-Infrastructure, Hannover Medical School, Hannover, Germany
| | - Wolfgang Maier
- Department of Neurodegeneration and Geriatric Psychiatry, University of Bonn, Bonn, Germany
| | - Martin Scherer
- Department of Primary Medical Care, Center for Psychosocial Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Steffi Riedel-Heller
- Institute of Social Medicine, Occupational Health and Public Health (ISAP), Faculty of Medicine, University of Leipzig, Leipzig, Germany
| | - Michael Wagner
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department of Neurodegeneration and Geriatric Psychiatry, University of Bonn, Bonn, Germany
| |
Collapse
|
170
|
Liew TM. Trajectories of subjective cognitive decline, and the risk of mild cognitive impairment and dementia. Alzheimers Res Ther 2020; 12:135. [PMID: 33109275 PMCID: PMC7592368 DOI: 10.1186/s13195-020-00699-y] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2019] [Accepted: 10/01/2020] [Indexed: 12/31/2022]
Abstract
BACKGROUND In cognitively normal individuals, subjective cognitive decline (SCD) has been reported to predict MCI and dementia (MCI/dementia). However, prior studies mostly captured SCD at single time-points without considering the longitudinal course of SCD. This study examined whether the trajectories of SCD provide any added information-beyond one-time assessments of SCD-on the risk of MCI/dementia. METHODS This cohort study included 5661 participants from the Alzheimer's Disease Centers across the USA, who were ≥ 50 years and had normal cognition in the first-four annual visits (year 1 to year 4). The participants were evaluated for SCD in the first-four annual visits (year 1 to year 4), and followed-up almost annually (year 4 up to year 14) for incident MCI/dementia. SCD trajectories (as identified from latent-class-growth-curve-analysis) were included in Cox regression to estimate their risks of MCI/dementia, with analyses further stratified by age (< 75 years versus ≥ 75 years; based on median-split). RESULTS Compared to those without SCD (in the first-four annual visits), Intermittent SCD (i.e., reported in 1-2 of the first-four annual visits) predicted a higher risk (HR 1.4) and Persistent SCD (i.e., reported in 3-4 of the first-four annual visits) predicted the highest risk (HR 2.2), with the results remaining significant even after adjusting for baseline SCD. Age-stratified analysis revealed that the risk associated with Intermittent SCD was only present in older individuals, while risk related to Persistent SCD was consistently present across the younger and older age groups. Age compounded the effects of the trajectories, whereby older individuals with Persistent SCD had > 75% probability of developing MCI/dementia by 10 years, in contrast to < 25% probability by 10 years in younger individuals with No SCD. CONCLUSIONS The findings demonstrate the utility of SCD trajectories-especially when used in combination with age strata-in identifying high-risk populations for preventive interventions and trials. They also suggest a potential modification in the current SCD criteria, with the inclusion of "persistent SCD over several years" as a feature of SCD plus.
Collapse
Affiliation(s)
- Tau Ming Liew
- Department of Psychiatry, Singapore General Hospital, Outram Road, Singapore, 169608, Singapore.
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
| |
Collapse
|
171
|
Sannemann L, Schild AK, Altenstein S, Bartels C, Brosseron F, Buerger K, Cosma NC, Fliessbach K, Freiesleben SD, Glanz W, Heneka MT, Janowitz D, Kilimann I, Kobeleva X, Laske C, Metzger CD, Munk MHJ, Perneczky R, Peters O, Polcher A, Priller J, Rauchmann B, Rösch C, Rudolph J, Schneider A, Spottke A, Spruth EJ, Teipel S, Vukovich R, Wagner M, Wiltfang J, Wolfsgruber S, Duezel E, Jessen F. Neuropsychiatric symptoms in at-risk groups for AD dementia and their association with worry and AD biomarkers-results from the DELCODE study. Alzheimers Res Ther 2020; 12:131. [PMID: 33066827 PMCID: PMC7566134 DOI: 10.1186/s13195-020-00701-7] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Accepted: 10/02/2020] [Indexed: 12/14/2022]
Abstract
BACKGROUND Early identification of individuals at risk of dementia is mandatory to implement prevention strategies and design clinical trials that target early disease stages. Subjective cognitive decline (SCD) and neuropsychiatric symptoms (NPS) have been proposed as potential markers for early manifestation of Alzheimer's disease (AD). We aimed to investigate the frequency of NPS in SCD, in other at-risk groups, in healthy controls (CO), and in AD patients, and to test the association of NPS with AD biomarkers, with a particular focus on cognitively unimpaired participants with or without SCD-related worries. METHODS We analyzed data of n = 687 participants from the German DZNE Longitudinal Cognitive Impairment and Dementia (DELCODE) study, including the diagnostic groups SCD (n = 242), mild cognitive impairment (MCI, n = 115), AD (n = 77), CO (n = 209), and first-degree relatives of AD patients (REL, n = 44). The Neuropsychiatric Inventory Questionnaire (NPI-Q), Geriatric Depression Scale (GDS-15), and Geriatric Anxiety Inventory (GAI-SF) were used to assess NPS. We examined differences of NPS frequency between diagnostic groups. Logistic regression analyses were carried out to further investigate the relationship between NPS and cerebrospinal fluid (CSF) AD biomarkers, focusing on a subsample of cognitively unimpaired participants (SCD, REL, and CO), who were further differentiated based on reported worries. RESULTS The numbers of reported NPS, depression scores, and anxiety scores were significantly higher in subjects with SCD compared to CO. The quantity of reported NPS in subjects with SCD was lower compared to the MCI and AD group. In cognitively unimpaired subjects with worries, low Aß42 was associated with higher rates of reporting two or more NPS (OR 0.998, 95% CI 0.996-1.000, p < .05). CONCLUSION These findings give insight into the prevalence of NPS in different diagnostic groups, including SCD and healthy controls. NPS based on informant report seem to be associated with underlying AD pathology in cognitively unimpaired participants who worry about cognitive decline. TRIAL REGISTRATION German Clinical Trials Register DRKS00007966 . Registered 4 May 2015.
Collapse
Affiliation(s)
- Lena Sannemann
- Department of Psychiatry, Medical Faculty, University of Cologne, Kerpener Strasse 62, 50924, Cologne, Germany.
| | - Ann-Katrin Schild
- Department of Psychiatry, Medical Faculty, University of Cologne, Kerpener Strasse 62, 50924, Cologne, Germany
| | - Slawek Altenstein
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany
- Department of Psychiatry and Psychotherapy, Charité, Charitéplatz 1, 10117, Berlin, Germany
| | - Claudia Bartels
- German Center for Neurodegenerative Diseases (DZNE), Goettingen, Germany
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, University of Goettingen, Von-Siebold-Str. 5, 37075, Goettingen, Germany
| | - Frederic Brosseron
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
- Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Katharina Buerger
- German Center for Neurodegenerative Diseases (DZNE, Munich), Feodor-Lynen-Strasse 17, 81377, Munich, Germany
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Feodor-Lynen-Strasse 17, 81377, Munich, Germany
| | - Nicoleta Carmen Cosma
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Institute of Psychiatry and Psychotherapy, Hindenburgdamm 30, 12203, Berlin, Germany
| | - Klaus Fliessbach
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
- Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Silka Dawn Freiesleben
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Institute of Psychiatry and Psychotherapy, Hindenburgdamm 30, 12203, Berlin, Germany
| | - Wenzel Glanz
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - Michael T Heneka
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
- Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Daniel Janowitz
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Feodor-Lynen-Strasse 17, 81377, Munich, Germany
| | - Ingo Kilimann
- German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany
- Department of Psychosomatic Medicine, Rostock University Medical Center, Gehlsheimer Str. 20, 18147, Rostock, Germany
| | - Xenia Kobeleva
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
- Department of Neurology, University of Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Christoph Laske
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
- Section for Dementia Research, Hertie Institute for Clinical Brain Research and Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
| | - Coraline D Metzger
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
- Institute of Cognitive Neurology and Dementia Research (IKND), Otto-von-Guericke University, Magdeburg, Germany
- Department of Psychiatry and Psychotherapy, Otto-von-Guericke University, Magdeburg, Germany
| | - Matthias H J Munk
- Section for Dementia Research, Hertie Institute for Clinical Brain Research and Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
| | - Robert Perneczky
- German Center for Neurodegenerative Diseases (DZNE, Munich), Feodor-Lynen-Strasse 17, 81377, Munich, Germany
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy) Munich, Munich, Germany
- Ageing Epidemiology Research Unit (AGE), School of Public Health, Imperial College London, London, UK
| | - Oliver Peters
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Institute of Psychiatry and Psychotherapy, Hindenburgdamm 30, 12203, Berlin, Germany
| | - Alexandra Polcher
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
- Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
- Department of Neurology, University of Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Josef Priller
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany
- Department of Psychiatry and Psychotherapy, Charité, Charitéplatz 1, 10117, Berlin, Germany
| | - Boris Rauchmann
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Christina Rösch
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Institute of Psychiatry and Psychotherapy, Hindenburgdamm 30, 12203, Berlin, Germany
| | - Janna Rudolph
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Anja Schneider
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
- Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Annika Spottke
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
- Department of Neurology, University of Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Eike Jakob Spruth
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany
- Department of Psychiatry and Psychotherapy, Charité, Charitéplatz 1, 10117, Berlin, Germany
| | - Stefan Teipel
- German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany
- Department of Psychosomatic Medicine, Rostock University Medical Center, Gehlsheimer Str. 20, 18147, Rostock, Germany
| | - Ruth Vukovich
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, University of Goettingen, Von-Siebold-Str. 5, 37075, Goettingen, Germany
| | - Michael Wagner
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
- Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Jens Wiltfang
- German Center for Neurodegenerative Diseases (DZNE), Goettingen, Germany
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, University of Goettingen, Von-Siebold-Str. 5, 37075, Goettingen, Germany
- Neurosciences and Signaling Group, Institute of Biomedicine (iBiMED), Department of Medical Sciences, University of Aveiro, Aveiro, Portugal
| | - Steffen Wolfsgruber
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
- Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Emrah Duezel
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
- Institute of Cognitive Neurology and Dementia Research (IKND), Otto-von-Guericke University, Magdeburg, Germany
| | - Frank Jessen
- Department of Psychiatry, Medical Faculty, University of Cologne, Kerpener Strasse 62, 50924, Cologne, Germany
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
- Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Joseph-Stelzmann-Strasse 26, 50931, Köln, Germany
| |
Collapse
|
172
|
Rabin LA, Wang C, Mogle JA, Lipton RB, Derby CA, Katz MJ. An approach to classifying subjective cognitive decline in community-dwelling elders. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2020; 12:e12103. [PMID: 33015309 PMCID: PMC7521594 DOI: 10.1002/dad2.12103] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Revised: 08/06/2020] [Accepted: 08/12/2020] [Indexed: 11/05/2022]
Abstract
INTRODUCTION Subjective cognitive decline (SCD) may be an early symptomatic manifestation of Alzheimer's disease, though published research largely neglects how to classify SCD in community-based studies. METHODS In neuropsychologically intact Einstein Aging Study participants (n = 1115; mean age = 78; 63% female; 30% non-White), we used Cox models to examine the association between self-perceived cognitive functioning at baseline (using three different approaches) and incident amnestic mild cognitive impairment (aMCI) with covariates of age, sex, education, race/ethnicity, general (objective) cognition, depressive symptoms, and four other SCD-related features. RESULTS After a median of 3 years, 198 participants developed aMCI. In models that included all the variables, self-perceived cognitive functioning was consistently associated with incident aMCI as were age, general cognition, and perceived control; apolipoprotein E (APOE) ε4 allele status was significant in one model. We set cut points that optimized the diagnostic accuracy of SCD at various time frames. DISCUSSION We provide an approach to SCD classification and discuss implications for cognitive aging studies.
Collapse
Affiliation(s)
- Laura A. Rabin
- Department of PsychologyBrooklyn CollegeCity University of New York (CUNY)BrooklynNew YorkUSA
- Department of PsychologyGraduate CenterCity University of New York (CUNY)New YorkNew YorkUSA
- Saul R. Korey Department of NeurologyAlbert Einstein College of MedicineBronxNew YorkUSA
| | - Cuiling Wang
- Saul R. Korey Department of NeurologyAlbert Einstein College of MedicineBronxNew YorkUSA
- Department of Epidemiology and Population HealthAlbert Einstein College of MedicineBronxNew YorkUSA
| | - Jacqueline A. Mogle
- Edna Bennett Pierce Prevention Research CenterThe Pennsylvania State University, University ParkPennsylvaniaUSA
| | - Richard B. Lipton
- Saul R. Korey Department of NeurologyAlbert Einstein College of MedicineBronxNew YorkUSA
- Department of Epidemiology and Population HealthAlbert Einstein College of MedicineBronxNew YorkUSA
- Department of Psychiatry and Behavioral MedicineAlbert Einstein College of MedicineBronxNew YorkUSA
| | - Carol A. Derby
- Saul R. Korey Department of NeurologyAlbert Einstein College of MedicineBronxNew YorkUSA
- Department of Epidemiology and Population HealthAlbert Einstein College of MedicineBronxNew YorkUSA
| | - Mindy J. Katz
- Saul R. Korey Department of NeurologyAlbert Einstein College of MedicineBronxNew YorkUSA
| |
Collapse
|
173
|
Liew TM. Subjective cognitive decline, anxiety symptoms, and the risk of mild cognitive impairment and dementia. Alzheimers Res Ther 2020; 12:107. [PMID: 32917264 PMCID: PMC7488541 DOI: 10.1186/s13195-020-00673-8] [Citation(s) in RCA: 58] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2019] [Accepted: 08/26/2020] [Indexed: 01/04/2023]
Abstract
BACKGROUND Subjective cognitive decline (SCD) and anxiety symptoms both predict neurocognitive disorders, but the two correlate strongly with each other. It is unclear whether they reflect two independent disease processes in the development of neurocognitive disorders and hence deserve separate attention. This cohort study examined whether SCD and anxiety symptoms demonstrate independent risks of mild cognitive disorder and dementia (MCI/dementia). METHODS The study included 14,066 participants aged ≥ 50 years and diagnosed with normal cognition at baseline, recruited from Alzheimer's Disease Centers across the USA. The participants were evaluated for SCD and anxiety symptoms at baseline and followed up almost annually for incident MCI/dementia (median follow-up 4.5 years; interquartile range 2.2-7.7 years). SCD and anxiety symptoms were included in Cox regression to investigate their independent risks of MCI/dementia. RESULTS SCD and anxiety symptoms demonstrated independent risks of MCI/dementia, with HR 1.9 (95% CI 1.7-2.1) and 1.3 (95% CI 1.2-1.5), respectively. Co-occurring SCD and anxiety symptoms demonstrated the highest risk (HR 2.4, 95% CI 1.9-2.9)-participants in this group had a 25% probability of developing MCI/dementia by 3.1 years (95% 2.4-3.7), compared to 8.2 years among those without SCD or anxiety (95% CI 7.9-8.6). The results remained robust even in the sensitivity analyses that took into account symptom severity and consistency of symptoms in the first 2 annual visits. CONCLUSIONS The findings suggest that clinicians should not dismiss one over the other when patients present with both SCD and anxiety and that both constructs may potentially be useful to identify high-risk populations for preventive interventions and trials. The findings also point to the need for further research to clarify on the neurobiological distinctions between SCD and anxiety symptoms, which may potentially enrich our understanding on the pathogenesis of neurocognitive disorders.
Collapse
Affiliation(s)
- Tau Ming Liew
- Department of Psychiatry, Singapore General Hospital, Outram Road, Singapore, 169608, Singapore.
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
| |
Collapse
|
174
|
Parfenov VA, Zakharov VV, Kabaeva AR, Vakhnina NV. Subjective cognitive decline as a predictor of future cognitive decline: a systematic review. Dement Neuropsychol 2020; 14:248-257. [PMID: 32973979 PMCID: PMC7500809 DOI: 10.1590/1980-57642020dn14-030007] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
Abstract
Over 44 million people suffer from dementia around the world. Researchers
estimated that there will be 48.1 million people with dementia by 2020 and 90.3
million by 2040. In addition to dementia, mild cognitive impairment (MCI) and
subjective cognitive decline (SCD) relate to cognitive impairment. It has been
established that MCI precedes dementia, however the significance of SCD is still
unclear. Recent studies suggest that SCD could be a risk factor for objective
cognitive impairment. SCD is defined as а self-estimated decline in cognitive
capacity in comparison to an individual’s previous level of functioning, which
cannot be determined by neuropsychological tests.
Collapse
|
175
|
McDade E, Bednar MM, Brashear HR, Miller DS, Maruff P, Randolph C, Ismail Z, Carrillo MC, Weber CJ, Bain LJ, Hake AM. The pathway to secondary prevention of Alzheimer's disease. ALZHEIMER'S & DEMENTIA (NEW YORK, N. Y.) 2020; 6:e12069. [PMID: 32885024 PMCID: PMC7453146 DOI: 10.1002/trc2.12069] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Accepted: 07/09/2020] [Indexed: 11/11/2022]
Abstract
Alzheimer's disease (AD) is a continuum consisting of a preclinical stage that occurs decades before symptoms appear. As researchers make advances in investigating the continuum, the importance of developing drugs for secondary prevention is garnering increased discussion. For efficacious drug development for secondary prevention it is important to define what are the earliest biological stages of AD. The Alzheimer's Association Research Roundtable convened November 27 to 28, 2018 to focus on pre-clinical AD. This review will address the biological approach to defining pre-clinical AD, detection, identification of at-risk individuals, and lessons learned from trials such as A4 and TOMMORROW.
Collapse
Affiliation(s)
- Eric McDade
- Department of NeurologyWashington University School of MedicineSaint LouisMissouriUSA
| | - Martin M. Bednar
- Takeda Pharmaceuticals International Co.Americas, Inc.CambridgeMassachusettsUSA
| | | | | | | | - Christopher Randolph
- MedAvante‐ProPhaseHamiltonNew JerseyUSA
- Department of NeurologyLoyola University Medical CenterMaywoodIllinoisUSA
| | - Zahinoor Ismail
- Cumming School of MedicineThe University of CalgaryCalgaryCanada
| | | | | | - Lisa J. Bain
- Independent Science WriterElversonPennsylvaniaUSA
| | - Ann Marie Hake
- Eli Lilly and CompanyIndianapolisIndianaUSA
- Department of NeurologyIndiana University School of MedicineIndianapolisIndianaUSA
| |
Collapse
|
176
|
Vergallo A, Houot M, Cavedo E, Lemercier P, Vanmechelen E, De Vos A, Habert MO, Potier MC, Dubois B, Lista S, Hampel H. Brain Aβ load association and sexual dimorphism of plasma BACE1 concentrations in cognitively normal individuals at risk for AD. Alzheimers Dement 2020; 15:1274-1285. [PMID: 31627825 DOI: 10.1016/j.jalz.2019.07.001] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2019] [Revised: 06/18/2019] [Accepted: 07/01/2019] [Indexed: 01/13/2023]
Abstract
INTRODUCTION Successful development of effective β-site amyloid precursor protein cleaving enzyme 1 (BACE1)-targeted therapies for early stages of Alzheimer's disease requires biomarker-guided intervention strategies. METHODS We investigated whether key biological factors such as sex, apolipoprotein E (APOE ε4) allele, and age affect longitudinal plasma BACE1 concentrations in a large monocenter cohort of individuals at risk for Alzheimer's disease. We explored the relationship between plasma BACE1 concentrations and levels of brain amyloid-β (Aβ) deposition, using positron emission tomography global standard uptake value ratios. RESULTS Baseline and longitudinal mean concentrations of plasma BACE1 were significantly higher in women than men. We also found a positive significant impact of plasma BACE1 on baseline Aβ-positron emission tomography global standard uptake value ratios. DISCUSSION Our results suggest a sexual dimorphism in BACE1-related upstream mechanisms of brain Aβ production and deposition. We argue that plasma BACE1 should be considered in further biomarker validation and qualification studies as well as in BACE1 clinical trials.
Collapse
Affiliation(s)
- Andrea Vergallo
- Sorbonne University, GRC n° 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital, Boulevard de l'hôpital, Paris, France; Brain and Spine Institute (ICM), INSERM U 1127, CNRS UMR 7225, Boulevard de l'hôpital, Paris, France; Department of Neurology, Institute of Memory and Alzheimer's Disease (IM2A), Pitié-Salpêtrière Hospital, AP-HP, Boulevard de l'hôpital, Paris, France.
| | - Marion Houot
- Sorbonne University, GRC n° 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital, Boulevard de l'hôpital, Paris, France; Brain and Spine Institute (ICM), INSERM U 1127, CNRS UMR 7225, Boulevard de l'hôpital, Paris, France; Department of Neurology, Institute of Memory and Alzheimer's Disease (IM2A), Pitié-Salpêtrière Hospital, AP-HP, Boulevard de l'hôpital, Paris, France; Centre of Excellence of Neurodegenerative Disease (CoEN), ICM, CIC Neurosciences, APHP Department of Neurology, Hopital Pitié-Salpêtrière, University Paris 6, Paris, France
| | - Enrica Cavedo
- Sorbonne University, GRC n° 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital, Boulevard de l'hôpital, Paris, France; Brain and Spine Institute (ICM), INSERM U 1127, CNRS UMR 7225, Boulevard de l'hôpital, Paris, France; Department of Neurology, Institute of Memory and Alzheimer's Disease (IM2A), Pitié-Salpêtrière Hospital, AP-HP, Boulevard de l'hôpital, Paris, France; Centre of Excellence of Neurodegenerative Disease (CoEN), ICM, CIC Neurosciences, APHP Department of Neurology, Hopital Pitié-Salpêtrière, University Paris 6, Paris, France
| | - Pablo Lemercier
- Sorbonne University, GRC n° 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital, Boulevard de l'hôpital, Paris, France; Brain and Spine Institute (ICM), INSERM U 1127, CNRS UMR 7225, Boulevard de l'hôpital, Paris, France; Department of Neurology, Institute of Memory and Alzheimer's Disease (IM2A), Pitié-Salpêtrière Hospital, AP-HP, Boulevard de l'hôpital, Paris, France; Centre of Excellence of Neurodegenerative Disease (CoEN), ICM, CIC Neurosciences, APHP Department of Neurology, Hopital Pitié-Salpêtrière, University Paris 6, Paris, France
| | | | | | - Marie-Odile Habert
- Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France; Centre pour l'Acquisition et le Traitement des Images (www.cati-neuroimaging.com), Paris, France; Département de Médecine Nucléaire, AP-HP, Hôpital Pitié-Salpêtrière, Paris, France
| | - Marie-Claude Potier
- ICM Institut du Cerveau et de la Moelle épinière, CNRS UMR7225, INSERM U1127, UPMC, Hôpital de la Pitié-Salpêtrière, Paris, France
| | - Bruno Dubois
- Sorbonne University, GRC n° 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital, Boulevard de l'hôpital, Paris, France; Brain and Spine Institute (ICM), INSERM U 1127, CNRS UMR 7225, Boulevard de l'hôpital, Paris, France; Department of Neurology, Institute of Memory and Alzheimer's Disease (IM2A), Pitié-Salpêtrière Hospital, AP-HP, Boulevard de l'hôpital, Paris, France
| | - Simone Lista
- Sorbonne University, GRC n° 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital, Boulevard de l'hôpital, Paris, France; Brain and Spine Institute (ICM), INSERM U 1127, CNRS UMR 7225, Boulevard de l'hôpital, Paris, France; Department of Neurology, Institute of Memory and Alzheimer's Disease (IM2A), Pitié-Salpêtrière Hospital, AP-HP, Boulevard de l'hôpital, Paris, France
| | - Harald Hampel
- Sorbonne University, GRC n° 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital, Boulevard de l'hôpital, Paris, France; Eisai Inc., Neurology Business Group, Woodcliff Lake, NJ, USA
| |
Collapse
|
177
|
Vergallo A, Lista S, Lemercier P, Chiesa PA, Zetterberg H, Blennow K, Potier MC, Habert MO, Baldacci F, Cavedo E, Caraci F, Dubois B, Hampel H. Association of plasma YKL-40 with brain amyloid-β levels, memory performance, and sex in subjective memory complainers. Neurobiol Aging 2020; 96:22-32. [PMID: 32920471 DOI: 10.1016/j.neurobiolaging.2020.07.009] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2020] [Revised: 06/28/2020] [Accepted: 07/09/2020] [Indexed: 02/08/2023]
Abstract
Neuroinflammation, a key early pathomechanistic alteration of Alzheimer's disease, may represent either a detrimental or a compensatory mechanism or both (according to the disease stage). YKL-40, a glycoprotein highly expressed in differentiated glial cells, is a candidate biomarker for in vivo tracking neuroinflammation in humans. We performed a longitudinal study in a monocentric cohort of cognitively healthy individuals at risk for Alzheimer's disease exploring whether age, sex, and the apolipoprotein E ε4 allele affect plasma YKL-40 concentrations. We investigated whether YKL-40 is associated with brain amyloid-β (Aβ) deposition, neuronal activity, and neurodegeneration as assessed via neuroimaging biomarkers. Finally, we investigated whether YKL-40 may predict cognitive performance. We found an age-associated increase of YKL-40 and observed that men display higher concentrations than women, indicating a potential sexual dimorphism. Moreover, YKL-40 was positively associated with memory performance and negatively associated with brain Aβ deposition (but not with metabolic signal). Consistent with translational studies, our results suggest a potentially protective effect of glia on incipient brain Aβ accumulation and neuronal homeostasis.
Collapse
Affiliation(s)
- Andrea Vergallo
- Sorbonne University, GRC no 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital, Paris, France; Brain & Spine Institute (ICM), INSERM U1127, CNRS UMR 7225, Paris, France; Department of Neurology, Institute of Memory and Alzheimer's Disease (IM2A), Pitié-Salpêtrière Hospital, AP-HP, Paris, France.
| | - Simone Lista
- Sorbonne University, GRC no 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital, Paris, France; Brain & Spine Institute (ICM), INSERM U1127, CNRS UMR 7225, Paris, France; Department of Neurology, Institute of Memory and Alzheimer's Disease (IM2A), Pitié-Salpêtrière Hospital, AP-HP, Paris, France
| | - Pablo Lemercier
- Sorbonne University, GRC no 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital, Paris, France; Brain & Spine Institute (ICM), INSERM U1127, CNRS UMR 7225, Paris, France; Department of Neurology, Institute of Memory and Alzheimer's Disease (IM2A), Pitié-Salpêtrière Hospital, AP-HP, Paris, France
| | - Patrizia A Chiesa
- Sorbonne University, GRC no 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital, Paris, France; Brain & Spine Institute (ICM), INSERM U1127, CNRS UMR 7225, Paris, France; Department of Neurology, Institute of Memory and Alzheimer's Disease (IM2A), Pitié-Salpêtrière Hospital, AP-HP, Paris, France
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK; UK Dementia Research Institute, London, UK
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Marie-Claude Potier
- ICM Institut du Cerveau et de la Moelle épinière, CNRS UMR7225, INSERM U1127, UPMC, Hôpital de la Pitié-Salpêtrière, Paris, France
| | - Marie-Odile Habert
- Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France; Centre pour l'Acquisition et le Traitement des Images, Paris, France; Département de Médecine Nucléaire, AP-HP, Hôpital Pitié-Salpêtrière, Paris, France
| | - Filippo Baldacci
- Sorbonne University, GRC no 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital, Paris, France; Brain & Spine Institute (ICM), INSERM U1127, CNRS UMR 7225, Paris, France; Department of Neurology, Institute of Memory and Alzheimer's Disease (IM2A), Pitié-Salpêtrière Hospital, AP-HP, Paris, France; Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Enrica Cavedo
- Sorbonne University, GRC no 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital, Paris, France; Brain & Spine Institute (ICM), INSERM U1127, CNRS UMR 7225, Paris, France; Department of Neurology, Institute of Memory and Alzheimer's Disease (IM2A), Pitié-Salpêtrière Hospital, AP-HP, Paris, France
| | - Filippo Caraci
- Department of Drug Sciences, University of Catania, Catania, Italy; Oasi Research Institute - IRCCS, Troina, Italy
| | - Bruno Dubois
- Sorbonne University, GRC no 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital, Paris, France; Brain & Spine Institute (ICM), INSERM U1127, CNRS UMR 7225, Paris, France; Department of Neurology, Institute of Memory and Alzheimer's Disease (IM2A), Pitié-Salpêtrière Hospital, AP-HP, Paris, France
| | - Harald Hampel
- Sorbonne University, GRC no 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital, Paris, France
| | | | | | | |
Collapse
|
178
|
Takechi H, Tsuzuki A, Matsumoto K, Matsunaga S, Nishiyama H, Ogawa M, Kanada Y. Relationship between subjective memory complaints and social and leisure activities in community-dwelling older people: Toyoake Integrated Care Study. Geriatr Gerontol Int 2020; 20:867-872. [PMID: 32725916 DOI: 10.1111/ggi.13992] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2019] [Revised: 06/12/2020] [Accepted: 07/01/2020] [Indexed: 11/28/2022]
Abstract
AIM Subjective memory complaints (SMC) have attracted attention in recent years in relation to the early stages of dementia. However, it is not clear whether SMC are related to social and leisure activities. The aim of this study was to evaluate SMC in relation to activities in community-dwelling older adults. METHODS A questionnaire inquiring about SMC and social and leisure activities was sent to 14 850 people aged ≥65 years residing in Toyoake City, as part of the Toyoake Integrated Care Study. After a preliminary analysis, we targeted respondents aged ≥70 years. Therefore, 6685 people were included in the analysis. Three question items were used detecting SMC: the feeling of a memory problem (SMC-1), memory loss pointed out by others (SMC-2) and difficulty in recalling today's date (SMC-3). Logistic regression was carried out to determine the relationship between SMC and activities. RESULTS In response to SMC-1, 2 and 3, 45.3%, 13.3% and 23.5% participants, respectively, agreed with the statement. Social and leisure activities were negatively associated with SMC-2 and SMC-3, after controlling for confounding factors (SMC-2: odds ratio 0.76, 95% confidence interval 0.65-0.89; SMC-3: odds ratio 0.79, 95% confidence interval 0.70-0.90). However, a significant increase in participation in social and leisure activities was associated with a positive response to SMC-1 (SMC-1: odds ratio 1.24, 95% confidence interval 1.12-1.38). Conclusion A relationship was observed between SMC and social and leisure activities in community-dwelling older people, although differences in the impact of SMC were seen depending on the question asked. Geriatr Gerontol Int 2020; 20: 867-872.
Collapse
Affiliation(s)
- Hajime Takechi
- Department of Geriatrics and Cognitive Disorders, School of Medicine, Fujita Health University, Toyoake, Japan
| | - Akira Tsuzuki
- Faculty of Rehabilitation, School of Health Science, Fujita Health University, Toyoake, Japan
| | - Komaki Matsumoto
- Department of Community Care, Toyoake City Municipal Office, Toyoake, Japan
| | - Shinji Matsunaga
- Department of Geriatrics and Cognitive Disorders, School of Medicine, Fujita Health University, Toyoake, Japan
| | | | - Masatoshi Ogawa
- Department of Community Care, Toyoake City Municipal Office, Toyoake, Japan
| | - Yoshikiyo Kanada
- Faculty of Rehabilitation, School of Health Science, Fujita Health University, Toyoake, Japan
| |
Collapse
|
179
|
Nosheny RL, Camacho MR, Jin C, Neuhaus J, Truran D, Flenniken D, Ashford M, Carrillo MC, Fargo KN, Hendrix J, Hanna L, Rabinovici G, Maruff P, Mackin RS, Weiner MW. Validation of online functional measures in cognitively impaired older adults. Alzheimers Dement 2020; 16:1426-1437. [PMID: 32715602 DOI: 10.1002/alz.12138] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2019] [Revised: 05/22/2020] [Accepted: 06/08/2020] [Indexed: 12/22/2022]
Abstract
INTRODUCTION Assessment of functional status is associated with risk of cognitive decline and diagnosis of dementia, and can be assessed by participants and study partners (SPs). METHODS In 770 older adults enrolled in the Imaging Dementia-Evidence for Amyloid Scanning (IDEAS) study and the online Brain Health Registry (BHR), we estimated associations between online assessments and clinical variables related to Alzheimer's disease (AD) risk. RESULTS Worse online learning scores and SP-reported functional decline were associated with higher probability of AD dementia diagnosis and poor in-clinic cognitive assessment, and with higher odds of amyloid beta (Aβ) positivity when combined with participants' report of less decline. SP report of functional decline conferred predictive value independent of online cognitive assessments. Participants underreported decline compared to SPs. DISCUSSION The results support the validity of online assessments and their greater utilization in healthcare and research settings. Online SP-reported functional decline is an indicator of dementia and AD risk.
Collapse
Affiliation(s)
- Rachel L Nosheny
- Department of Psychiatry, University of California San Francisco, San Francisco, California, USA.,San Francisco Veteran's Administration Medical Center, San Francisco, California, USA
| | - Monica R Camacho
- San Francisco Veteran's Administration Medical Center, San Francisco, California, USA
| | - Chengshi Jin
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA
| | - John Neuhaus
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA
| | - Diana Truran
- San Francisco Veteran's Administration Medical Center, San Francisco, California, USA
| | - Derek Flenniken
- San Francisco Veteran's Administration Medical Center, San Francisco, California, USA
| | - Miriam Ashford
- San Francisco Veteran's Administration Medical Center, San Francisco, California, USA
| | | | | | | | - Lucy Hanna
- Department of Biostatistics, Brown University, Providence, Rhode Island, USA
| | - Gil Rabinovici
- Department of Neurology, University of California San Francisco, San Francisco, California, USA.,Department of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
| | | | - R Scott Mackin
- Department of Psychiatry, University of California San Francisco, San Francisco, California, USA.,San Francisco Veteran's Administration Medical Center, San Francisco, California, USA
| | - Michael W Weiner
- San Francisco Veteran's Administration Medical Center, San Francisco, California, USA.,Department of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
| |
Collapse
|
180
|
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: 29] [Impact Index Per Article: 5.8] [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.
Collapse
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.
| |
Collapse
|
181
|
Papp KV, Buckley R, Mormino E, Maruff P, Villemagne VL, Masters C, Johnson KA, Rentz DM, Sperling RA, Amariglio RE. Clinical meaningfulness of subtle cognitive decline on longitudinal testing in preclinical AD. Alzheimers Dement 2020; 16:552-560. [PMID: 31759879 PMCID: PMC7067681 DOI: 10.1016/j.jalz.2019.09.074] [Citation(s) in RCA: 58] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
INTRODUCTION Demonstrating the "clinical meaningfulness" of slowing early cognitive decline in clinically normal (CN) older adults with elevated amyloid-β (Aβ+) is critical for Alzheimer's disease secondary prevention trials and for understanding early cognitive progression. METHODS Cox regression analyses were used to determine whether 3-year slopes on the preclinical Alzheimer's cognitive composite predicted MCI diagnosis and global Clinical Dementia Rating>0 in 267 Aβ+ CN individuals participating in the Harvard Aging Brain Study, Australian Imaging, Biomarker and Lifestyle Study, and Alzheimer's Disease Neuroimaging Initiative. RESULTS Steeper preclinical Alzheimer's cognitive composite decline over 3 years was associated with increased risk for MCI diagnosis and global Clinical Dementia Rating>0 in the following years across all cohorts. Hazard ratios using meta-analytic estimates were 5.47 (95% CI: 3.25-9.18) for MCI diagnosis and 4.49 (95% CI: 2.84-7.09) for Clinical Dementia Rating>0 in those with subtle decline (>-.14 to -.26 preclinical Alzheimer's cognitive composite standard deviations/year) on longitudinal cognitive testing. DISCUSSION Early "subtle cognitive decline" among Aβ+ CN on a sensitive cognitive composite demonstrably increases risk for imminent clinical disease progression and functional impairment.
Collapse
Affiliation(s)
- Kathryn V. Papp
- Department of Neurology, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Rachel Buckley
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Elizabeth Mormino
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Paul Maruff
- The Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, Victoria, Australia
- CogState, Ltd, Melbourne, Victoria, Australia
| | - Victor L. Villemagne
- Department of Nuclear Medicine and Centre for PET, Austin Health, Victoria, Australia
| | - Colin Masters
- The Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, Victoria, Australia
| | - Keith A. Johnson
- Department of Neurology, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Dorene M. Rentz
- Department of Neurology, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Reisa A. Sperling
- Department of Neurology, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Rebecca E. Amariglio
- Department of Neurology, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | | |
Collapse
|
182
|
Kim HG, Jung HS, Koo BH, Cheon EJ. Neuropsychological predictors of cognitive deterioration in non-demented individuals. Cogn Neuropsychiatry 2020; 25:99-112. [PMID: 31791187 DOI: 10.1080/13546805.2019.1700105] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
Introduction: Previous studies performed neuropsychological tests in non-demented patients, especially those with mild cognitive impairment (MCI), to predict dementia. Few recent studies reported that subjective cognitive decline (SCD) itself predicts dementia conversion. We evaluated certain characteristics and neuropsychological tests to predict cognitive deterioration in non-demented individuals.Methods: This study included 106 participants with subjective cognitive complaints (SCCs) classified as non-demented (90 MCI and 16 SCD). Data were collected at baseline and follow-up, wherein participants completed a comprehensive neuropsychological assessment to assess their cognitive and daily functions.Results: During the follow-up of all participants, 52 converted to dementia, while 54 did not. There were significant differences in age and education years, as well as language, memory, frontal lobe function, and Barthel's Activities of Daily Living Index between the groups. Correlation analysis showed a significant correlation between the deterioration of the Clinical Dementia Rating scores and baseline language, memory, and frontal lobe function scores.Conclusion(s): SCDs consistently worrying about their SCCs and those identified with SCD by their caregivers were prone to cognitive function deterioration over time. Changes in language, memory, and frontal lobe function in neurocognitive tests were significantly different between the dementia converters and non dementia converters group. Particularly, SCD and MCI individuals with significantly poor initial executive function and memory abilities should be closely monitored for future cognitive decline.
Collapse
Affiliation(s)
- Hye-Geum Kim
- Department of Psychiatry, Yeungnam University College of Medicine, Yeungnam University Medical Center, Daegu, Republic of Korea
| | - Hyun-Seok Jung
- Department of psychology, Yeungnam University College of Medicine, Yeungnam University Medical Center, Daegu, Republic of Korea
| | - Bon-Hoon Koo
- Department of Psychiatry, Yeungnam University College of Medicine, Yeungnam University Medical Center, Daegu, Republic of Korea
| | - Eun-Jin Cheon
- Department of Psychiatry, Yeungnam University College of Medicine, Yeungnam University Medical Center, Daegu, Republic of Korea
| |
Collapse
|
183
|
Jessen F, Amariglio RE, Buckley RF, van der Flier WM, Han Y, Molinuevo JL, Rabin L, Rentz DM, Rodriguez-Gomez O, Saykin AJ, Sikkes SAM, Smart CM, Wolfsgruber S, Wagner M. The characterisation of subjective cognitive decline. Lancet Neurol 2020; 19:271-278. [PMID: 31958406 DOI: 10.1016/s1474-4422(19)30368-0] [Citation(s) in RCA: 764] [Impact Index Per Article: 152.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2019] [Revised: 08/27/2019] [Accepted: 08/28/2019] [Indexed: 01/22/2023]
Abstract
A growing awareness about brain health and Alzheimer's disease in the general population is leading to an increasing number of cognitively unimpaired individuals, who are concerned that they have reduced cognitive function, to approach the medical system for help. The term subjective cognitive decline (SCD) was conceived in 2014 to describe this condition. Epidemiological data provide evidence that the risk for mild cognitive impairment and dementia is increased in individuals with SCD. However, the majority of individuals with SCD will not show progressive cognitive decline. An individually tailored diagnostic process might be reasonable to identify or exclude underlying medical conditions in an individual with SCD who actively seeks medical help. An increasing number of studies are investigating the link between SCD and the very early stages of Alzheimer's disease and other neurodegenerative diseases.
Collapse
Affiliation(s)
- Frank Jessen
- Department of Psychiatry, Medical Faculty, University of Cologne, Cologne, Germany; Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany; German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.
| | - Rebecca E Amariglio
- Center for Alzheimer Research and Treatment, Brigham and Women's Hospital and Department of Neurology Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Rachel F Buckley
- Department of Neurology, Brigham and Women's Hospital and Department of Neurology Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Florey Institute, University of Melbourne, Parkville, VIC, Australia; Melbourne School of Psychological Sciences, University of Melbourne, Parkville, VIC, Australia
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands; Department of Epidemiology and Biostatistics, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
| | - Ying Han
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China; Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, China; Beijing Institute of Geriatrics, Beijing, China; National Clinical Research Center for Geriatric Disorders, Beijing, China
| | - José Luis Molinuevo
- Alzheimer's Disease and Other Cognitive Disorders Unit, Hospital Clínic, Barcelona, Spain; Barcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain
| | - Laura Rabin
- Department of Psychology, Brooklyn College and The Graduate Center of CUNY, Brooklyn, NY, USA; Department of Neurology, Albert Einstein College of Medicine, New York, NY, USA
| | - Dorene M Rentz
- Center for Alzheimer Research and Treatment, Brigham and Women's Hospital and Department of Neurology Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Octavio Rodriguez-Gomez
- Alzheimer Research Center and Memory Clinic of Fundació ACE, Institut Català de Neurociències Aplicades, Barcelona, Spain
| | - Andrew J Saykin
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA; Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, IN, USA; Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Sietske A M Sikkes
- Department of Neurology, Brigham and Women's Hospital and Department of Neurology Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands; Department of Epidemiology and Biostatistics, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
| | - Colette M Smart
- Department of Psychology, University of Victoria, Victoria, BC, Canada; Institute on Aging & Lifelong Health, University of Victoria, Victoria, BC, Canada
| | | | - Michael Wagner
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany; Department of Neurodegeneration and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
| |
Collapse
|
184
|
Howard R. Subjective cognitive decline: what is it good for? Lancet Neurol 2020; 19:203-204. [PMID: 31958405 DOI: 10.1016/s1474-4422(20)30002-8] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2020] [Accepted: 01/03/2020] [Indexed: 11/27/2022]
Affiliation(s)
- Robert Howard
- Division of Psychiatry, University College London, London W1T 7NF, UK.
| |
Collapse
|
185
|
Wake T, Tabuchi H, Funaki K, Ito D, Yamagata B, Yoshizaki T, Nakahara T, Jinzaki M, Yoshimasu H, Tanahashi I, Shimazaki H, Mimura M. Disclosure of Amyloid Status for Risk of Alzheimer Disease to Cognitively Normal Research Participants With Subjective Cognitive Decline: A Longitudinal Study. Am J Alzheimers Dis Other Demen 2020; 35:1533317520904551. [PMID: 32052640 PMCID: PMC10623980 DOI: 10.1177/1533317520904551] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/03/2024]
Abstract
This study aimed to investigate the long-term impacts of disclosing amyloid status for a risk of Alzheimer disease (AD) to cognitively normal research participants with subjective cognitive decline (SCD), which represents an initial manifestation of AD. Forty-two participants were classified as the amyloid-positive (n = 10) or amyloid-negative (n = 32) groups. We assessed symptoms of anxiety, depression, and test-related distress at 6, 24, and 52 weeks after results disclosure. No difference was found over time in anxiety, depression, and test-related distress in either group. Although no significant differences were observed between groups in anxiety or depression, the amyloid-negative group had a significantly higher level of test-related distress than the amyloid-positive group at 52 weeks. Disclosing amyloid status to cognitively healthy research participants with SCD did not cause significant long-term psychological risks. However, a theoretical spectrum of subjective concern may exist about cognitive decline in amyloid-negative individuals.
Collapse
Affiliation(s)
- Taisei Wake
- Department of Psychiatry, Saitama Medical Center, Saitama Medical University, Saitama, Japan
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Hajime Tabuchi
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Kei Funaki
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Daisuke Ito
- Department of Neurology, Keio University School of Medicine, Tokyo, Japan
| | - Bun Yamagata
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Takahito Yoshizaki
- Department of Neurology, Keio University School of Medicine, Tokyo, Japan
| | - Tadaki Nakahara
- Department of Diagnostic Radiology, Keio University School of Medicine, Tokyo, Japan
| | - Masahiro Jinzaki
- Department of Diagnostic Radiology, Keio University School of Medicine, Tokyo, Japan
| | - Haruo Yoshimasu
- Department of Psychiatry, Saitama Medical Center, Saitama Medical University, Saitama, Japan
| | - Iori Tanahashi
- Department of Psychiatry, Saitama Medical Center, Saitama Medical University, Saitama, Japan
| | - Hiroumi Shimazaki
- Department of Psychiatry, Saitama Medical Center, Saitama Medical University, Saitama, Japan
| | - Masaru Mimura
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| |
Collapse
|
186
|
Maserejian N, Bian S, Wang W, Jaeger J, Syrjanen JA, Aakre J, Jack CR, Mielke MM, Gao F. Practical algorithms for amyloid β probability in subjective or mild cognitive impairment. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2019; 11:180. [PMID: 31700988 PMCID: PMC6827360 DOI: 10.1016/j.dadm.2019.09.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
INTRODUCTION Practical algorithms predicting the probability of amyloid pathology among patients with subjective cognitive decline or mild cognitive impairment may help clinical decisions regarding confirmatory biomarker testing for Alzheimer's disease. METHODS Algorithm feature selection was conducted with Alzheimer's Disease Neuroimaging Initiative and Australian Imaging, Biomarkers and Lifestyle Flagship Study of Ageing data. Probability algorithms were developed in Alzheimer's Disease Neuroimaging Initiative using nested cross-validation accompanied by stratified subsampling to obtain 1000 internally validated decision trees. Semi-independent validation was conducted using Australian Imaging, Biomarkers and Lifestyle Flagship Study of Ageing. Independent external validation was conducted in the population-based Mayo Clinic Study of Aging. RESULTS Two algorithms were developed using age and normalized immediate recall z-scores, with or without apolipoprotein E ε4 carrier status. Both algorithms had robust performance across data sets and when substituting different recall memory tests. DISCUSSION The statistical framework resulted in robust probability estimation. Application of these algorithms may assist in clinical decision-making for further testing to diagnose amyloid pathology.
Collapse
Affiliation(s)
| | - Shijia Bian
- Department of Biostatistics, Biogen, Cambridge, MA, USA
| | - Wenting Wang
- Department of Biostatistics, Biogen, Cambridge, MA, USA
| | - Judith Jaeger
- CognitionMetrics, Wilmington, DE, USA
- Department of Psychiatry and Behavioral Sciences, Albert Einstein College of Medicine, Bronx, NY, USA
| | | | - Jeremiah Aakre
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | | | - Michelle M. Mielke
- Department of Health Sciences Research, Professor of Neurology, Mayo Clinic, Rochester, MN, USA
| | - Feng Gao
- Department of Biostatistics, Biogen, Cambridge, MA, USA
| |
Collapse
|
187
|
Nosheny RL, Jin C, Neuhaus J, Insel PS, Mackin RS, Weiner MW. Study partner-reported decline identifies cognitive decline and dementia risk. Ann Clin Transl Neurol 2019; 6:2448-2459. [PMID: 31721455 PMCID: PMC6917311 DOI: 10.1002/acn3.50938] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2019] [Revised: 09/30/2019] [Accepted: 10/16/2019] [Indexed: 12/22/2022] Open
Abstract
Objective Identifying individuals at risk for cognitive decline, Mild Cognitive Impairment (MCI), and dementia due to Alzheimer’s disease (AD) is a critical need. Functional decline is associated with risk and can be efficiently assessed by participants and study partners (SPs). We tested the hypothesis that SP‐reported functional decline is an independent predictor of dementia risk and cognitive decline. Methods In 1048 older adults in the Alzheimer’s Disease Neuroimaging Initiative (ADNI), we measured associations between Everyday Cognition Scale scores (ECog, self‐ and SP‐reported versions) and (1) baseline and longitudinal change in neuropsychological test (NPT scores) across multiple cognitive domains; (2) diagnostic conversion to MCI or dementia. Models included Mini Mental Status Exam (MMSE) score and ApoE ε4 genotype (APOE) as predictors. Model fits were compared with and without predictors of interest included. Results SP‐reported ECog was the strongest predictor of cognitive decline across multiple domains, as well as diagnostic conversion. Self‐reported ECog was associated with baseline NPT scores in some cognitive domains, and diagnostic conversion to MCI in participants with biomarker evidence for AD (elevated brain β‐amyloid, Aβ). Models including SP‐reported ECog were significantly stronger at predicting outcomes. Conclusions SP‐reported functional decline is an independent indicator of cognitive decline and dementia risk, even when accounting for cognitive screening, genetic risk, demographics, and self‐report decline. The results provide a rationale for greater utilization of SP‐reported functional decline to identify those at risk for dementia due to AD and other causes.
Collapse
Affiliation(s)
- Rachel L Nosheny
- Department of Psychiatry, University of California, San Francisco, San Francisco, California.,San Francisco Veteran's Administration Medical Center, San Francisco, California
| | - Chengshi Jin
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California
| | - John Neuhaus
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California
| | - Philip S Insel
- San Francisco Veteran's Administration Medical Center, San Francisco, California
| | - Robert Scott Mackin
- Department of Psychiatry, University of California, San Francisco, San Francisco, California.,San Francisco Veteran's Administration Medical Center, San Francisco, California
| | - Michael W Weiner
- San Francisco Veteran's Administration Medical Center, San Francisco, California.,Department of Radiology & Biomedical Imaging, University of California, San Francisco, San Francisco, California
| | | |
Collapse
|
188
|
Chen G, Yang K, Du W, Hu X, Han Y. Clinical Characteristics in Subjective Cognitive Decline with and without Worry: Baseline Investigation of the SILCODE Study. J Alzheimers Dis 2019; 72:443-454. [PMID: 31594226 DOI: 10.3233/jad-190501] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Affiliation(s)
- Guanqun Chen
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Disorders, Beijing, China
| | - Kun Yang
- Department of Evidence-based Medicine, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Wenying Du
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Disorders, Beijing, China
| | - Xiaochen Hu
- Department of Psychiatry and Psychotherapy, University of Cologne, Medical Faculty, Cologne, Germany
| | - Ying Han
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
- Center of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Institute of Geriatrics, Beijing, China
- National Clinical Research Center for Geriatric Disorders, Beijing, China
| |
Collapse
|
189
|
Wu YY, Hsu WC, Huang YH, Ho WM, Chen YC. Memory Complaint Is a Surrogate for Memory Decline in the Middle-Aged: A Register-Based Study. J Clin Med 2019; 8:jcm8111900. [PMID: 31703376 PMCID: PMC6912512 DOI: 10.3390/jcm8111900] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2019] [Revised: 10/26/2019] [Accepted: 11/05/2019] [Indexed: 12/19/2022] Open
Abstract
Memory complaint is one of the earliest symptoms of dementia. The causes and prognosis of memory complaint in the middle-aged population remain largely unknown. We reviewed the register-based data of 2129 patients with memory complaints. Among them, 404 participants were between 40 and 65 years old. The participants were separated into three groups: subjective cognitive decline (SCD), neurodegenerative diseases (ND), and non-neurodegenerative diseases (NND). One-year decline was defined as a decrease of ≥1 on the mini-mental state examination (MMSE). At baseline, 131 participants (32%) were diagnosed with SCD, 141 (35%) with ND, and 132 (33%) with NND. The 1-year cognitive decline rate was higher among patients with ND (36.8%) than in the SCD (7.3%, p = 1.3 × 10−8) and NND groups (7.6%, p = 1.1 × 10−7). One-year decline did not differ between the SCD and NND groups. Lower baseline MMSE score predicted increased risk of 1-year cognitive decline (odds ratio (OR) = 1.126, 95% confidence interval (CI) = 1.076–1.178, p = 2.52 × 10−7). Memory complaint in middle age carried a risk of 1-year cognitive decline, and baseline MMSE is an independent predictor of decline. An initial diagnosis of SCD held the same risk effect for decline as NND. These findings highlighted the necessity for neuropsychological tests in those with memory complaints presenting to the clinic.
Collapse
Affiliation(s)
- Yah-Yuan Wu
- Department of Neurology, Chang Gung Memorial Hospital Linkou Medical Center and College of Medicine, Chang Gung University, Taoyuan 333, Taiwan; (Y.-Y.W.); (W.-C.H.); (Y.-H.H.); (W.-M.H.)
- Dementia Center, Chang Gung Memorial Hospital, Taoyuan 333, Taiwan
| | - Wen-Chuin Hsu
- Department of Neurology, Chang Gung Memorial Hospital Linkou Medical Center and College of Medicine, Chang Gung University, Taoyuan 333, Taiwan; (Y.-Y.W.); (W.-C.H.); (Y.-H.H.); (W.-M.H.)
- Dementia Center, Chang Gung Memorial Hospital, Taoyuan 333, Taiwan
| | - Yu-Hua Huang
- Department of Neurology, Chang Gung Memorial Hospital Linkou Medical Center and College of Medicine, Chang Gung University, Taoyuan 333, Taiwan; (Y.-Y.W.); (W.-C.H.); (Y.-H.H.); (W.-M.H.)
- Dementia Center, Chang Gung Memorial Hospital, Taoyuan 333, Taiwan
| | - Wei-Min Ho
- Department of Neurology, Chang Gung Memorial Hospital Linkou Medical Center and College of Medicine, Chang Gung University, Taoyuan 333, Taiwan; (Y.-Y.W.); (W.-C.H.); (Y.-H.H.); (W.-M.H.)
- Dementia Center, Chang Gung Memorial Hospital, Taoyuan 333, Taiwan
| | - Yi-Chun Chen
- Department of Neurology, Chang Gung Memorial Hospital Linkou Medical Center and College of Medicine, Chang Gung University, Taoyuan 333, Taiwan; (Y.-Y.W.); (W.-C.H.); (Y.-H.H.); (W.-M.H.)
- Dementia Center, Chang Gung Memorial Hospital, Taoyuan 333, Taiwan
- Correspondence: or ; Tel.: +886-3-328-1200 (ext. 8347); Fax: +886-3-328-7226
| |
Collapse
|
190
|
Mielke MM, Syrjanen JA, Blennow K, Zetterberg H, Skoog I, Vemuri P, Machulda MM, Graff-Radford J, Knopman DS, Jack CR, Petersen RC, Kern S. Comparison of variables associated with cerebrospinal fluid neurofilament, total-tau, and neurogranin. Alzheimers Dement 2019; 15:1437-1447. [PMID: 31668594 PMCID: PMC6874755 DOI: 10.1016/j.jalz.2019.07.009] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2019] [Revised: 07/09/2019] [Accepted: 07/14/2019] [Indexed: 12/13/2022]
Abstract
INTRODUCTION Three cerebrospinal fluid (CSF) markers of neurodegeneration (N) (neurofilament light [NfL], total-tau [T-tau], and neurogranin [Ng]) have been proposed under the AT(N) scheme of the National Institute on Aging-Alzheimer's Association Research Framework. METHODS We examined, in a community-based population (N = 777, aged 50-95) (1) what variables were associated with each of the CSF (N) markers, and (2) whether the variables associated with each marker differed by increased brain amyloid. CSF T-tau was measured with an automated electrochemiluminescence Elecsys immunoassay; NfL and Ng were measured with in-house enzyme-linked immunosorbent assays. RESULTS Multiple variables were differentially associated with CSF NfL and T-tau levels, but not Ng. Most associations were attenuated after adjustment for age and sex. T-tau had the strongest association with cognition in the presence of amyloidosis, followed by Ng. Variables associations with NfL did not differ by amyloid status. DISCUSSION Understanding factors that influence CSF (N) markers will assist in the interpretation and utility of these markers in clinical practice.
Collapse
Affiliation(s)
- Michelle M Mielke
- Department of Neurology, Mayo Clinic, Rochester, MN, USA; Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
| | - Jeremy A Syrjanen
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK; UK Dementia Research Institute at UCL (H.Z.), London, UK
| | - Ingmar Skoog
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
| | | | - Mary M Machulda
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | | | | | | | - Ronald C Petersen
- Department of Neurology, Mayo Clinic, Rochester, MN, USA; Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Silke Kern
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA; Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
| |
Collapse
|
191
|
Maruta C, Martins IP. May Subjective Language Complaints Predict Future Language Decline in Community-Dwelling Subjects? Front Psychol 2019; 10:1974. [PMID: 31555171 PMCID: PMC6722202 DOI: 10.3389/fpsyg.2019.01974] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2019] [Accepted: 08/12/2019] [Indexed: 11/13/2022] Open
Abstract
Subjective cognitive complaints are rather prevalent in the elderly population and are associated with an increased risk of cognitive impairment and dementia. However, the predictive role of specific types of cognitive complaints has been less systematically assessed. The aim of the present study is to examine the predictive value of language complaints for cognitive and language decline in a cohort of community-dwelling healthy older adults, followed longitudinally over a 5-year period. A total of 402 subjects were enrolled in a prospective longitudinal study on aging and cognition. Participants answered a cognitive complaints questionnaire including two questions directed to language and were classified at baseline as having “Language Complaints” (LC) or “No Language Complaints” (NLC). They also performed a neuropsychological assessment tackling attention/processing speed, memory, executive functioning, and language at baseline. From these, 275 (68.4%) participated in a follow-up evaluation 4.9 (±0.6) years later. At re-evaluation, subjects had a mean age of 70.4 (±8.3) years, 7.5 (±4.4) years of education, and 63.3% were female. Multivariate linear regression analysis was used to investigate whether language complaints at baseline predicted poorer language performance at follow-up or increased the risk of cognitive decline, with correction for sex, depressive symptoms, living status, baseline performance, and composite memory and executive performance. Results indicated that LC subjects had significantly worse performances than NLC subjects on semantic fluency 5 years later, but with a similar rate of decline overtime that was not associated with a follow-up outcome of cognitive decline/dementia. Language difficulties may represent a specific type of age-related cognitive complaints. Longer follow-ups are necessary to understand if they are associated with an increased risk of language or cognitive decline.
Collapse
Affiliation(s)
- Carolina Maruta
- Language Research Laboratory, Centro de Estudos Egas Moniz, Faculty of Medicine, University of Lisbon, Lisbon, Portugal.,Católica Research Center for Psychological, Family, and Social Wellbeing, Faculty of Human Sciences, Universidade Católica Portuguesa, Lisbon, Portugal
| | - Isabel Pavão Martins
- Language Research Laboratory, Centro de Estudos Egas Moniz, Faculty of Medicine, University of Lisbon, Lisbon, Portugal.,Department of Neurology, Centro Hospitalar Lisboa Norte, Lisbon, Portugal
| |
Collapse
|
192
|
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: 77] [Impact Index Per Article: 12.8] [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.
Collapse
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
| |
Collapse
|
193
|
D'hooghe MB, De Cock A, Benedict RHB, Gielen J, Van Remoortel A, Eelen P, Van Merhaegen A, De Keyser J, D'Haeseleer M, Peeters E, Nagels G. Perceived neuropsychological impairment inversely related to self‐reported health and employment in multiple sclerosis. Eur J Neurol 2019; 26:1447-1454. [DOI: 10.1111/ene.14012] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2019] [Accepted: 05/13/2019] [Indexed: 01/27/2023]
Affiliation(s)
- M. B. D'hooghe
- Neurology National MS Center MelsbroekBelgium
- Center for Neuroscience (C4N) Vrije Universiteit Brussel (VUB) Elsene Belgium
| | - A. De Cock
- Neurology National MS Center MelsbroekBelgium
- Center for Neuroscience (C4N) Vrije Universiteit Brussel (VUB) Elsene Belgium
| | | | - J. Gielen
- Neurology National MS Center MelsbroekBelgium
- Center for Neuroscience (C4N) Vrije Universiteit Brussel (VUB) Elsene Belgium
| | | | - P. Eelen
- Neurology National MS Center MelsbroekBelgium
| | - A. Van Merhaegen
- Center for Neuroscience (C4N) Vrije Universiteit Brussel (VUB) Elsene Belgium
- Neurology UZ Brussel (VUB) Jette Belgium
| | - J. De Keyser
- Center for Neuroscience (C4N) Vrije Universiteit Brussel (VUB) Elsene Belgium
- Neurology UZ Brussel (VUB) Jette Belgium
| | - M. D'Haeseleer
- Neurology National MS Center MelsbroekBelgium
- Center for Neuroscience (C4N) Vrije Universiteit Brussel (VUB) Elsene Belgium
- Neurology UZ Brussel (VUB) Jette Belgium
| | - E. Peeters
- Neurology National MS Center MelsbroekBelgium
| | - G. Nagels
- Neurology National MS Center MelsbroekBelgium
- Center for Neuroscience (C4N) Vrije Universiteit Brussel (VUB) Elsene Belgium
- Neurology UZ Brussel (VUB) Jette Belgium
- St Edmund Hall Oxford University Oxford UK
| |
Collapse
|
194
|
Vergallo A, Mégret L, Lista S, Cavedo E, Zetterberg H, Blennow K, Vanmechelen E, De Vos A, Habert M, Potier M, Dubois B, Neri C, Hampel H. Plasma amyloid β 40/42 ratio predicts cerebral amyloidosis in cognitively normal individuals at risk for Alzheimer's disease. Alzheimers Dement 2019; 15:764-775. [DOI: 10.1016/j.jalz.2019.03.009] [Citation(s) in RCA: 94] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2018] [Revised: 03/20/2019] [Accepted: 03/25/2019] [Indexed: 11/25/2022]
Affiliation(s)
- Andrea Vergallo
- Sorbonne UniversityGRC no 21Alzheimer Precision Medicine (APM)AP‐HPPitié‐Salpêtrière HospitalBoulevard de l'hôpitalParisFrance
- Brain & Spine Institute (ICM)INSERM U 1127CNRS UMR 7225Boulevard de l'hôpitalParisFrance
- Institute of Memory and Alzheimer's Disease (IM2A)Department of NeurologyPitié‐Salpêtrière HospitalAP‐HPBoulevard de l'hôpitalParisFrance
| | - Lucile Mégret
- Sorbonnes UniversitéCNRS UMR 8256INSERM ERL U1164Team Compensation in Neurodegenerative diseases and Aging (Brain‐C)ParisFrance
| | - Simone Lista
- Sorbonne UniversityGRC no 21Alzheimer Precision Medicine (APM)AP‐HPPitié‐Salpêtrière HospitalBoulevard de l'hôpitalParisFrance
- Brain & Spine Institute (ICM)INSERM U 1127CNRS UMR 7225Boulevard de l'hôpitalParisFrance
- Institute of Memory and Alzheimer's Disease (IM2A)Department of NeurologyPitié‐Salpêtrière HospitalAP‐HPBoulevard de l'hôpitalParisFrance
| | - Enrica Cavedo
- Sorbonne UniversityGRC no 21Alzheimer Precision Medicine (APM)AP‐HPPitié‐Salpêtrière HospitalBoulevard de l'hôpitalParisFrance
- Brain & Spine Institute (ICM)INSERM U 1127CNRS UMR 7225Boulevard de l'hôpitalParisFrance
- Institute of Memory and Alzheimer's Disease (IM2A)Department of NeurologyPitié‐Salpêtrière HospitalAP‐HPBoulevard de l'hôpitalParisFrance
| | - Henrik Zetterberg
- Institute of Neuroscience and PhysiologyDepartment of Psychiatry and NeurochemistryThe Sahlgrenska Academy at the University of GothenburgMölndalSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
- Department of Molecular NeuroscienceUCL Institute of NeurologyLondonUK
- UK Dementia Research InstituteLondonUK
| | - Kaj Blennow
- Institute of Neuroscience and PhysiologyDepartment of Psychiatry and NeurochemistryThe Sahlgrenska Academy at the University of GothenburgMölndalSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
| | | | | | - Marie‐Odile Habert
- Sorbonne UniversitéCNRSINSERMLaboratoire d'Imagerie BiomédicaleParisFrance
- Centre pour l'Acquisition et le Traitement des ImagesParisFrance
- AP‐HPHôpital Pitié‐SalpêtrièreDépartement de Médecine NucléaireParisFrance
| | - Marie‐Claude Potier
- ICM Institut du Cerveau et de la Moelle épinièreCNRS UMR7225INSERM U1127UPMCHôpital de la Pitié‐SalpêtrièreParisFrance
| | - Bruno Dubois
- Sorbonne UniversityGRC no 21Alzheimer Precision Medicine (APM)AP‐HPPitié‐Salpêtrière HospitalBoulevard de l'hôpitalParisFrance
- Brain & Spine Institute (ICM)INSERM U 1127CNRS UMR 7225Boulevard de l'hôpitalParisFrance
- Institute of Memory and Alzheimer's Disease (IM2A)Department of NeurologyPitié‐Salpêtrière HospitalAP‐HPBoulevard de l'hôpitalParisFrance
| | - Christian Neri
- Sorbonnes UniversitéCNRS UMR 8256INSERM ERL U1164Team Compensation in Neurodegenerative diseases and Aging (Brain‐C)ParisFrance
| | - Harald Hampel
- Sorbonne UniversityGRC no 21Alzheimer Precision Medicine (APM)AP‐HPPitié‐Salpêtrière HospitalBoulevard de l'hôpitalParisFrance
| | | | | |
Collapse
|
195
|
Lejri I, Agapouda A, Grimm A, Eckert A. Mitochondria- and Oxidative Stress-Targeting Substances in Cognitive Decline-Related Disorders: From Molecular Mechanisms to Clinical Evidence. OXIDATIVE MEDICINE AND CELLULAR LONGEVITY 2019; 2019:9695412. [PMID: 31214285 PMCID: PMC6535827 DOI: 10.1155/2019/9695412] [Citation(s) in RCA: 65] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/18/2019] [Revised: 03/21/2019] [Accepted: 04/11/2019] [Indexed: 12/11/2022]
Abstract
Alzheimer's disease (AD) is the most common form of dementia affecting people mainly in their sixth decade of life and at a higher age. It is an extensively studied neurodegenerative disorder yet incurable to date. While its main postmortem brain hallmarks are the presence of amyloid-β plaques and hyperphosphorylated tau tangles, the onset of the disease seems to be largely correlated to mitochondrial dysfunction, an early event in the disease pathogenesis. AD is characterized by flawed energy metabolism in the brain and excessive oxidative stress, processes that involve less adenosine triphosphate (ATP) and more reactive oxygen species (ROS) production respectively. Mitochondria are at the center of both these processes as they are responsible for energy and ROS generation through mainly oxidative phosphorylation. Standardized Ginkgo biloba extract (GBE), resveratrol, and phytoestrogens as well as the neurosteroid allopregnanolone have shown not only some mitochondria-modulating properties but also significant antioxidant potential in in vitro and in vivo studies. According to our review of the literature, GBE, resveratrol, allopregnanolone, and phytoestrogens showed promising effects on mitochondria in a descending evidence order and, notably, this order pattern is in line with the existing clinical evidence level for each entity. In this review, the effects of these four entities are discussed with special focus on their mitochondria-modulating effects and their mitochondria-improving and antioxidant properties across the spectrum of cognitive decline-related disorders. Evidence from preclinical and clinical studies on their mechanisms of action are summarized and highlighted.
Collapse
Affiliation(s)
- Imane Lejri
- University of Basel, Transfaculty Research Platform Molecular and Cognitive Neuroscience, Basel, Switzerland
- Neurobiology Lab for Brain Aging and Mental Health, Psychiatric University Clinics, Basel, Switzerland
| | - Anastasia Agapouda
- University of Basel, Transfaculty Research Platform Molecular and Cognitive Neuroscience, Basel, Switzerland
- Neurobiology Lab for Brain Aging and Mental Health, Psychiatric University Clinics, Basel, Switzerland
| | - Amandine Grimm
- University of Basel, Transfaculty Research Platform Molecular and Cognitive Neuroscience, Basel, Switzerland
- Neurobiology Lab for Brain Aging and Mental Health, Psychiatric University Clinics, Basel, Switzerland
| | - Anne Eckert
- University of Basel, Transfaculty Research Platform Molecular and Cognitive Neuroscience, Basel, Switzerland
- Neurobiology Lab for Brain Aging and Mental Health, Psychiatric University Clinics, Basel, Switzerland
| |
Collapse
|
196
|
Dietary Patterns Are Related to Clinical Characteristics in Memory Clinic Patients with Subjective Cognitive Decline: The SCIENCe Project. Nutrients 2019; 11:nu11051057. [PMID: 31083522 PMCID: PMC6566666 DOI: 10.3390/nu11051057] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2019] [Revised: 05/03/2019] [Accepted: 05/08/2019] [Indexed: 02/06/2023] Open
Abstract
As nutrition is one of the modifiable risk factors for cognitive decline, we studied the relationship between dietary quality and clinical characteristics in cognitively normal individuals with subjective cognitive decline (SCD). We included 165 SCD subjects (age: 64 ± 8 years; 45% female) from the SCIENCe project, a prospective memory clinic based cohort study on SCD. The Dutch Healthy Diet Food Frequency Questionnaire (DHD-FFQ) was used to assess adherence to Dutch guidelines on vegetable, fruit, fibers, fish, saturated fat, trans fatty acids, salt and alcohol intake (item score 0-10, higher score indicating better adherence). We measured global cognition (Mini Mental State Examination), cognitive complaints (Cognitive Change Index self-report; CCI) and depressive symptoms (Center for Epidemiologic Studies Depression Scale; CES-D). Using principal component analysis, we identified dietary components and investigated their relation to clinical characteristics using linear regression models adjusted for age, sex and education. We identified three dietary patterns: (i) "low-Fat-low-Salt", (ii) "high-Veggy", and (iii) "low-Alcohol-low-Fish". Individuals with lower adherence on "low-Fat-low-Salt" had more depressive symptoms (β -0.18 (-2.27--0.16)). Higher adherence to "high-Veggy" was associated with higher MMSE scores (β 0.30 (0.21-0.64)). No associations were found with the low-Alcohol-low-Fish component. We showed that in SCD subjects, dietary quality was related to clinically relevant outcomes. These findings could be useful to identify individuals that might benefit most from nutritional prevention strategies to optimize brain health.
Collapse
|
197
|
Wirth M, Schwarz C, Benson G, Horn N, Buchert R, Lange C, Köbe T, Hetzer S, Maglione M, Michael E, Märschenz S, Mai K, Kopp U, Schmitz D, Grittner U, Sigrist SJ, Stekovic S, Madeo F, Flöel A. Effects of spermidine supplementation on cognition and biomarkers in older adults with subjective cognitive decline (SmartAge)-study protocol for a randomized controlled trial. Alzheimers Res Ther 2019; 11:36. [PMID: 31039826 PMCID: PMC6492385 DOI: 10.1186/s13195-019-0484-1] [Citation(s) in RCA: 66] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2018] [Accepted: 03/20/2019] [Indexed: 12/18/2022]
Abstract
BACKGROUND Given the global increase in the aging population and age-related diseases, the promotion of healthy aging is one of the most crucial public health issues. This trial aims to contribute to the establishment of effective approaches to promote cognitive and brain health in older individuals with subjective cognitive decline (SCD). Presence of SCD is known to increase the risk of objective cognitive decline and progression to dementia due to Alzheimer's disease. Therefore, it is our primary goal to determine whether spermidine supplementation has a positive impact on memory performance in this at-risk group, as compared with placebo. The secondary goal is to examine the effects of spermidine intake on other neuropsychological, behavioral, and physiological parameters. METHODS The SmartAge trial is a monocentric, randomized, double-blind, placebo-controlled phase IIb trial. The study will investigate 12 months of intervention with spermidine-based nutritional supplementation (target intervention) compared with 12 months of placebo intake (control intervention). We plan to recruit 100 cognitively normal older individuals with SCD from memory clinics, neurologists and general practitioners in private practice, and the general population. Participants will be allocated to one of the two study arms using blockwise randomization stratified by age and sex with a 1:1 allocation ratio. The primary outcome is the change in memory performance between baseline and post-intervention visits (12 months after baseline). Secondary outcomes include the change in memory performance from baseline to follow-up assessment (18 months after baseline), as well as changes in neurocognitive, behavioral, and physiological parameters (including blood and neuroimaging biomarkers), assessed at baseline and post-intervention. DISCUSSION The SmartAge trial aims to provide evidence of the impact of spermidine supplementation on memory performance in older individuals with SCD. In addition, we will identify possible neurophysiological mechanisms of action underlying the anticipated cognitive benefits. Overall, this trial will contribute to the establishment of nutrition intervention in the prevention of Alzheimer's disease. TRIAL REGISTRATION ClinicalTrials.gov, NCT03094546 . Registered 29 March 2017-retrospectively registered. PROTOCOL VERSION Based on EA1/250/16 version 1.5.
Collapse
Affiliation(s)
- Miranka Wirth
- Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Klinik und Hochschulambulanz für Neurologie, Berlin, Germany
- Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, NeuroCure Clinical Research Center, Berlin, Germany
- Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Center for Stroke Research Berlin, Berlin, Germany
- German Center for Neurodegenerative Diseases (DZNE), Dresden, Germany
| | - Claudia Schwarz
- Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Klinik und Hochschulambulanz für Neurologie, Berlin, Germany
- Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, NeuroCure Clinical Research Center, Berlin, Germany
| | - Gloria Benson
- Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Klinik und Hochschulambulanz für Neurologie, Berlin, Germany
- Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, NeuroCure Clinical Research Center, Berlin, Germany
| | - Nora Horn
- Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Klinik und Hochschulambulanz für Neurologie, Berlin, Germany
- Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, NeuroCure Clinical Research Center, Berlin, Germany
| | - Ralph Buchert
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Nuclear Medicine, Berlin, Germany
- University Hospital Hamburg-Eppendorf, Department of Diagnostic and Interventional Radiology and Nuclear Medicine, Hamburg, Germany
| | - Catharina Lange
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Nuclear Medicine, Berlin, Germany
| | - Theresa Köbe
- Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Klinik und Hochschulambulanz für Neurologie, Berlin, Germany
- Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, NeuroCure Clinical Research Center, Berlin, Germany
- Douglas Mental Health University Institute, Studies on Prevention of Alzheimer’s Disease (StOP-AD) Centre, Montreal, Quebec, Canada
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Stefan Hetzer
- Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin Center for Advanced Neuroimaging, Berlin, Germany
- Bernstein Center for Computational Neuroscience, Berlin, Germany
| | - Marta Maglione
- Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, NeuroCure Clinical Research Center, Berlin, Germany
- Institute for Biology/Genetics, Freie Universität Berlin, Berlin, Germany
| | - Eva Michael
- Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, NeuroCure Clinical Research Center, Berlin, Germany
- Institute for Biology/Genetics, Freie Universität Berlin, Berlin, Germany
| | - Stefanie Märschenz
- Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, NeuroCure Clinical Research Center, Berlin, Germany
| | - Knut Mai
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Endocrinology & Metabolism, Berlin, Germany
- Charité-Center for Cardiovascular Research (CCR), Berlin, Germany
| | - Ute Kopp
- Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Klinik und Hochschulambulanz für Neurologie, Berlin, Germany
| | - Dietmar Schmitz
- Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, NeuroCure Clinical Research Center, Berlin, Germany
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany
| | - Ulrike Grittner
- Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Institute of Biometry and Clinical Epidemiology, Berlin, Germany
- Berlin Institute of Health (BIH), Berlin, Germany
| | - Stephan J. Sigrist
- Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, NeuroCure Clinical Research Center, Berlin, Germany
- Institute for Biology/Genetics, Freie Universität Berlin, Berlin, Germany
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany
| | - Slaven Stekovic
- Institute of Molecular Biosciences, University of Graz, NAWI Graz, Graz, Austria
| | - Frank Madeo
- Institute of Molecular Biosciences, University of Graz, NAWI Graz, Graz, Austria
- BioTechMed, Graz, Austria
| | - Agnes Flöel
- Department of Neurology, University Medicine Greifswald, Greifswald, Germany
- German Center for Neurodegenerative Diseases (DZNE), Rostock/Greifswald, Rostock, Germany
| |
Collapse
|
198
|
|
199
|
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: 49] [Impact Index Per Article: 7.0] [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.
Collapse
|
200
|
Petersen RC. How early can we diagnose Alzheimer disease (and is it sufficient)? The 2017 Wartenberg lecture. Neurology 2018; 91:395-402. [PMID: 30089620 PMCID: PMC6133623 DOI: 10.1212/wnl.0000000000006088] [Citation(s) in RCA: 47] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2018] [Accepted: 05/23/2018] [Indexed: 12/21/2022] Open
Abstract
A seismic shift in our understanding of the ability to diagnose Alzheimer disease (AD) is occurring. For the last several decades, AD has been a clinical–pathologic diagnosis, and this conceptualization of the disease has served the field well. Typically, the clinician would identify a syndrome such as mild cognitive impairment or dementia, and label the condition as “probable AD” since the diagnosis of definite AD could not be made until an autopsy revealed the presence of amyloid plaques and tau-based neurofibrillary tangles. However, with the advent of biomarkers for AD including neuroimaging and CSF, the identification of AD pathology can be made in life, which greatly enhances the ability of clinicians to be precise about the underlying etiology of a clinical syndrome. Hypothetical models of the temporal relation among the pathologic elements and the clinical symptoms have been proposed and have influenced the field enormously. This has enabled clinicians to be specific about the underlying cause of a given clinical syndrome. As such, the diagnostic capability of the clinician is evolving. However, AD pathology is only a component of the puzzle describing the causes of cognitive changes in aging. Most often, there is a multitude of pathologic entities contributing to the neuropathologic explanation of cognitive changes in aging. AD changes contribute important elements to the diagnosis, but the final answer is more complex. The field of aging and dementia will have to incorporate these additional elements.
Collapse
Affiliation(s)
- Ronald C Petersen
- From the Department of Neurology, Mayo Clinic College of Medicine, Rochester, MN.
| |
Collapse
|