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Sampatakakis SN, Mourtzi N, Charisis S, Kalligerou F, Mamalaki E, Ntanasi E, Hatzimanolis A, Koutsis G, Ramirez A, Lambert JC, Yannakoulia M, Kosmidis MH, Dardiotis E, Hadjigeorgiou G, Sakka P, Rouskas K, Patas K, Scarmeas N. Cerebral Amyloidosis in Individuals with Subjective Cognitive Decline: From Genetic Predisposition to Actual Cerebrospinal Fluid Measurements. Biomedicines 2024; 12:1053. [PMID: 38791015 PMCID: PMC11118196 DOI: 10.3390/biomedicines12051053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Revised: 04/30/2024] [Accepted: 05/09/2024] [Indexed: 05/26/2024] Open
Abstract
The possible relationship between Subjective Cognitive Decline (SCD) and dementia needs further investigation. In the present study, we explored the association between specific biomarkers of Alzheimer's Disease (AD), amyloid-beta 42 (Aβ42) and Tau with the odds of SCD using data from two ongoing studies. In total, 849 cognitively normal (CN) individuals were included in our analyses. Among the participants, 107 had available results regarding cerebrospinal fluid (CSF) Aβ42 and Tau, while 742 had available genetic data to construct polygenic risk scores (PRSs) reflecting their genetic predisposition for CSF Aβ42 and plasma total Tau levels. The associations between AD biomarkers and SCD were tested using logistic regression models adjusted for possible confounders such as age, sex, education, depression, and baseline cognitive test scores. Abnormal values of CSF Aβ42 were related to 2.5-fold higher odds of SCD, while higher polygenic loading for Aβ42 was associated with 1.6-fold higher odds of SCD. CSF Tau, as well as polygenic loading for total Tau, were not associated with SCD. Thus, only cerebral amyloidosis appears to be related to SCD status, either in the form of polygenic risk or actual CSF measurements. The temporal sequence of amyloidosis being followed by tauopathy may partially explain our findings.
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Affiliation(s)
- Stefanos N. Sampatakakis
- 1st Department of Neurology, Aiginition Hospital, Athens Medical School, National and Kapodistrian University, 11528 Athens, Greece; (S.N.S.); (N.M.); (F.K.); (E.M.); (E.N.)
| | - Niki Mourtzi
- 1st Department of Neurology, Aiginition Hospital, Athens Medical School, National and Kapodistrian University, 11528 Athens, Greece; (S.N.S.); (N.M.); (F.K.); (E.M.); (E.N.)
| | - Sokratis Charisis
- Department of Neurology, UT Health San Antonio, San Antonio, TX 78229, USA;
| | - Faidra Kalligerou
- 1st Department of Neurology, Aiginition Hospital, Athens Medical School, National and Kapodistrian University, 11528 Athens, Greece; (S.N.S.); (N.M.); (F.K.); (E.M.); (E.N.)
| | - Eirini Mamalaki
- 1st Department of Neurology, Aiginition Hospital, Athens Medical School, National and Kapodistrian University, 11528 Athens, Greece; (S.N.S.); (N.M.); (F.K.); (E.M.); (E.N.)
| | - Eva Ntanasi
- 1st Department of Neurology, Aiginition Hospital, Athens Medical School, National and Kapodistrian University, 11528 Athens, Greece; (S.N.S.); (N.M.); (F.K.); (E.M.); (E.N.)
| | - Alex Hatzimanolis
- Department of Psychiatry, Aiginition Hospital, Athens Medical School, National and Kapodistrian University, 11528 Athens, Greece;
| | - Georgios Koutsis
- Neurogenetics Unit, 1st Department of Neurology, Aiginition Hospital, Athens Medical School, National and Kapodistrian University, 11528 Athens, Greece;
| | - Alfredo Ramirez
- Division of Neurogenetics and Molecular Psychiatry, Department of Psychiatry and Psychotherapy, Medical Faculty, University of Cologne, 50923 Cologne, Germany;
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, 53127 Bonn, Germany
- German Center for Neurodegenerative Diseases (DZNE Bonn), 53127 Bonn, Germany
- Department of Psychiatry, Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, San Antonio, TX 78229, USA
- Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, 50923 Cologne, Germany
| | - Jean-Charles Lambert
- Inserm, CHU Lille, Institut Pasteur de Lille, U1167-RID-AGE Facteurs de Risque et Déterminants Moléculaires des Maladies Liés au Vieillissement, University of Lille, 59000 Lille, France;
| | - Mary Yannakoulia
- Department of Nutrition and Dietetics, Harokopio University, 17676 Athens, Greece;
| | - Mary H. Kosmidis
- Lab of Neuropsychology and Behavioral Neuroscience, School of Psychology, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece;
| | - Efthimios Dardiotis
- Department of Neurology, University Hospital of Larissa, Faculty of Medicine, School of Health Sciences, University of Thessaly, 41334 Larissa, Greece;
| | | | - Paraskevi Sakka
- Athens Association of Alzheimer’s Disease and Related Disorders, 11636 Marousi, Greece;
| | - Konstantinos Rouskas
- Institute of Applied Biosciences, Centre for Research & Technology Hellas, 54124 Thessaloniki, Greece;
| | - Kostas Patas
- Department of Medical Biopathology and Clinical Microbiology, Aiginition Hospital, Athens Medical School, National and Kapodistrian University, 11528 Athens, Greece;
| | - Nikolaos Scarmeas
- 1st Department of Neurology, Aiginition Hospital, Athens Medical School, National and Kapodistrian University, 11528 Athens, Greece; (S.N.S.); (N.M.); (F.K.); (E.M.); (E.N.)
- Department of Neurology, The Gertrude H. Sergievsky Center, Taub Institute for Research in Alzheimer’s Disease and the Aging Brain, Columbia University, New York, NY 10027, USA
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Zhang M, Wang X, Zhao W, Li Y, Ying C, Jiang J, Cai Y, Lu J, Han Y. Subjective cognitive decline domain improves accuracy of plasma Aβ 42 /Aβ 40 for preclinical Alzheimer's disease diagnosis: The SILCODE study. Chin Med J (Engl) 2024; 137:1127-1129. [PMID: 37946327 PMCID: PMC11062658 DOI: 10.1097/cm9.0000000000002851] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2023] [Indexed: 11/12/2023] Open
Affiliation(s)
- Mingkai Zhang
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing 100053, China
| | - Xiaoni Wang
- Department of Neurology, Sir Run Run Shaw Hospital, Affiliated with School of Medicine, Zhejiang University, Hangzhou, Zhejiang 310016, China
| | - Weina Zhao
- Department of Neurology, Hongqi Hospital Affiliated to Mudanjiang Medical University, Mudanjiang, Heilongjiang 157011, China
- Heilongjiang Key Laboratory of Ischemic Stroke Prevention and Treatment, Mudanjiang, Heilongjiang 157011, China
| | - Yuxia Li
- Department of Neurology, Tangshan Central Hospital, Tangshan, Hebei 063000, China
| | - Chao Ying
- Department of Neurobiology, Xuanwu Hospital of Capital Medical University, Key Laboratory for Neurodegenerative Diseases of the Ministry of Education, Beijing 100053, China
| | - Jiehui Jiang
- Institute for Advanced Communication and Data Science, Shanghai University, Shanghai 200444, China
| | - Yanning Cai
- Department of Neurobiology, Xuanwu Hospital of Capital Medical University, Key Laboratory for Neurodegenerative Diseases of the Ministry of Education, Beijing 100053, China
| | - Jie Lu
- Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
- Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing 100053, China
- Key Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing 100053, China
| | - Ying Han
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing 100053, China
- School of Biomedical Engineering, Hainan University, Haikou, Hainan 570228, China
- Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing 100053, China
- National Clinical Research Center for Geriatric Disorders, Beijing 100053, China
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, Shenzhen, Guangdong 518132, China
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Grunden N, Phillips NA. A network approach to subjective cognitive decline: Exploring multivariate relationships in neuropsychological test performance across Alzheimer's disease risk states. Cortex 2024; 173:313-332. [PMID: 38458017 DOI: 10.1016/j.cortex.2024.02.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2023] [Revised: 11/17/2023] [Accepted: 02/02/2024] [Indexed: 03/10/2024]
Abstract
Subjective cognitive decline (SCD) is characterized by subjective concerns of cognitive change despite test performance within normal range. Although those with SCD are at higher risk for developing further cognitive decline, we still lack methods using objective cognitive measures that reliably distinguish SCD from cognitively normal aging at the group level. Network analysis may help to address this by modeling cognitive performance as a web of intertwined cognitive abilities, providing insight into the multivariate associations determining cognitive status. Following previous network studies of mild cognitive impairment (MCI) and Alzheimer's dementia (AD), the current study centered upon the novel visualization and analysis of the SCD cognitive network compared to cognitively normal (CN) older adult, MCI, and AD group networks. Cross-sectional neuropsychological data from CIMA-Q and COMPASS-ND cohorts were used to construct Gaussian graphical models for CN (n = 122), SCD (n = 207), MCI (n = 210), and AD (n = 79) groups. Group networks were explored in terms of global network structure, prominent edge weights, and strength centrality indices. CN and SCD group networks were contrasted using the Network Comparison Test. Results indicate that CN and SCD groups did not differ in univariate cognitive performance or global network structure. However, measures of strength centrality, principally in executive functioning and processing speed, showed a CN-SCD-MCI gradient where subtle differences within the SCD network suggest that SCD is an intermediary between CN and MCI stages. Additional results may indicate a distinctiveness of network structure in AD, a reversal in network influence between age and general cognitive status as clinical impairment increases, and potential evidence for cognitive reserve. Together, these results provide evidence that network-specific metrics are sensitive to cognitive performance changes across the dementia risk spectrum and can help to objectively distinguish SCD group cognitive performance from that of the CN group.
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Affiliation(s)
- Nicholas Grunden
- Department of Psychology, Concordia University, Montréal, Canada; Canadian Consortium on Neurodegeneration in Aging (CCNA), Canada; Centre for Research on Brain, Language and Music (CRBLM), Montréal, Canada; Centre for Research in Human Development (CRDH), Montréal, Canada
| | - Natalie A Phillips
- Department of Psychology, Concordia University, Montréal, Canada; Canadian Consortium on Neurodegeneration in Aging (CCNA), Canada; Centre for Research on Brain, Language and Music (CRBLM), Montréal, Canada; Centre for Research in Human Development (CRDH), Montréal, Canada.
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Kim S, Yoon H, Jang Y. Access to Primary Healthcare and Discussion of Memory Loss with a Healthcare Provider in Adults with Subjective Cognitive Decline: Does Race/Ethnicity Matter? Behav Sci (Basel) 2023; 13:955. [PMID: 37998701 PMCID: PMC10669110 DOI: 10.3390/bs13110955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 11/13/2023] [Accepted: 11/14/2023] [Indexed: 11/25/2023] Open
Abstract
Because subjective cognitive decline (SCD) manifests before the clinical and irreversible onset of dementia, efforts to address SCD are imperative for the early identification and prevention of dementia. For people who actually experience SCD, having a usual source of care may be an important catalyst for addressing memory issues. This study investigates the relationship between having a usual source of care and the discussion of SCD with healthcare providers, while taking into account racial and ethnic differences. The pooled 2019-2020 Behavioral Risk Factor Surveillance System (BRFSS) from 47 states in the U.S. was used. The sample included 7900 individuals aged 50 and older who reported significant cognitive decline. Using logistic regression with state-level clustering, we found that those with a usual source of healthcare were almost twice as more likely to discuss memory loss with a healthcare provider. In order to test for the multiplicative effects, we included an interaction term between each race category and having a primary care provider (PCP). There was a significant interaction effect between Hispanic ethnicity and having a PCP (OR = 0.25, p < 0.05). While non-Hispanic respondents who had a PCP had a higher probability of discussing memory issues with a healthcare provider (42% vs. 25%), Hispanic respondents with a PCP were less likely to discuss their memory loss with a healthcare provider (36% vs. 49%). The study adds to the growing literature on the vital role of the primary care service in provision of service to those with cognitive decline, while revealing ethnic disparity in memory-loss-related communication with healthcare providers in a primary care setting.
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Affiliation(s)
- Seoyoun Kim
- Department of Sociology, Texas State University, San Marcos, TX 78666, USA;
| | - Hyunwoo Yoon
- Department of Social Welfare, Institute of Social Welfare, Kongju National University, Gongju-si 32588, Republic of Korea
| | - Yuri Jang
- Edward R. Roybal Institute on Aging, Suzanne Dworak-Peck School of Social Work, University of Southern California, Los Angeles, CA 90007, USA;
- Department of Social Welfare, Ewha Womans University, Seoul 07985, Republic of Korea
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Bolton CJ, Khan OA, Liu D, Wilhoite S, Dumitrescu L, Peterson A, Blennow K, Zetterberg H, Hohman TJ, Jefferson AL, Gifford KA. Sex and Education Modify the Association Between Subjective Cognitive Decline and Amyloid Pathology. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.11.03.23297795. [PMID: 37961115 PMCID: PMC10635270 DOI: 10.1101/2023.11.03.23297795] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
Background Subjective cognitive decline (SCD) may be an early risk factor for dementia, particularly in highly educated individuals and women. This study examined the effect of education and sex on the association between SCD and Alzheimer's disease (AD) biomarkers in non-demented older adults. Method Vanderbilt Memory and Aging Project participants free of clinical dementia or stroke (n=156, 72±6 years, 37% mild cognitive impairment, 33% female) completed fasting lumbar puncture, SCD assessment, and Wide Range Achievement Test-III Reading subtest to assess reading level at baseline as a a proxy for educational quality. Cerebrospinal fluid (CSF) biomarkers for AD (β-amyloid 42 (Aβ42), Aβ42/40 ratio, phosphorylated tau (p-tau), tau, and neurofilament light (NfL)) were analyzed in batch. Linear mixed effects models related SCD to CSF AD biomarkers and follow-up models assessed SCD x sex, SCD x reading level , and SCD x education interactions on AD biomarkers. Result In main effect models, higher SCD was associated with lower Aβ42 and Aβ42/40 ratio (p-values<0.004). SCD was not associated with tau, p-tau, or NfL levels ( p- values>0.38). SCD score interacted with sex on Aβ42/40 ratio ( p =0.03) but no other biomarkers ( p -values>0.10). In stratified models, higher SCD was associated with lower Aβ42/40 ratio in men ( p =0.0003) but not in women ( p =0.48). SCD score interacted with education on Aβ42 ( p =0.005) and Aβ42/40 ratio ( p =0.001) such that higher education was associated with a stronger negative association between SCD and amyloid levels. No SCD score x reading level interaction was found (p-values> 0.51) though significant associations between SCD and amyloid markers were seen in the higher reading level group (p-values<0.004) but not the lower reading level group (p-values>0.12) when stratified by a median split in reading level. Conclusion Among community-dwelling older adults free of clinical dementia, higher SCD was associated with greater cerebral amyloid accumulation, one of the earliest pathological AD changes. SCD appears most useful in detecting early AD-related brain changes in men and individuals with higher quantity and quality of education. SCD was not associated with CSF markers of tau pathology or neurodegeneration. These findings suggest that considering sex and education is important when assessing SCD in older adults.
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Kiselica AM, Johnson E, Lewis KR, Trout K. Examining racial disparities in the diagnosis of mild cognitive impairment. APPLIED NEUROPSYCHOLOGY. ADULT 2023; 30:749-756. [PMID: 34554020 PMCID: PMC8940745 DOI: 10.1080/23279095.2021.1976778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Black individuals are less likely to receive an accurate diagnosis of mild cognitive impairment (MCI) than their White counterparts, possibly because diagnoses are typically made by a physician, often without reference to objective neuropsychological test data. We examined racial differences in actuarial MCI diagnoses among individuals diagnosed with MCI via semi-structured clinical interview (the Clinical Dementia Rating) to examine for possible biases in the diagnostic process. Participants were drawn from the National Alzheimer's Coordinating Center Uniform Data Set and included 491 individuals self-identifying as Black and 2,818 individuals self-identifying as White. Chi-square tests were used to examine racial differences in rates of low scores for each cognitive test (domains assessed included attention, processing speed/executive functioning, memory, language, and visual skills). Next, we tested for racial differences in probability of meeting actuarial criteria for MCI by race. Compared to Black participants diagnosed with MCI via clinical interview, White individuals diagnosed with MCI via clinical interview demonstrated significantly higher rates of low demographically-adjusted z-scores on tests of memory, attention, processing speed, and verbal fluency. Furthermore, White individuals were significantly more likely to meet actuarial criteria for MCI (71.60%) than Black individuals (57.90%). Results suggest there may be bias in MCI classification based on semi-structured interview, leading to over diagnosis among Black individuals and/or under diagnosis among White individuals. Examination of neuropsychological test data and use of actuarial approaches may reduce racial disparities in the diagnosis of MCI. Nonetheless, issues related to race-based norming and differential symptom presentations complicate interpretation of results.
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Affiliation(s)
- Andrew M. Kiselica
- Department of Health Psychology, University of Missouri, Columbia, MO, USA
| | - Ellen Johnson
- Department of Health Psychology, University of Missouri, Columbia, MO, USA
- Department of Psychology, Ohio University, Athens, OH, USA
| | - Kaleea R. Lewis
- Department of Public Health, University of Missouri, Columbia, MO, USA
- Department of Women’s and Gender Studies, University of Missouri, Columbia, MO, USA
| | - Kate Trout
- Department of Health Sciences, University of Missouri, Columbia, MO, USA
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Cheng GR, Liu D, Huang LY, Han GB, Hu FF, Wu ZX, He XM, Huang YW, Yu YF, Xu L, Li JQ, Chen YS, Wei Z, Wu Q, Mei YF, Chen XX, Ou YM, Zhang JJ, Yang ML, Lian PF, Tan W, Xie XY, Zeng Y. Prevalence and risk factors for subjective cognitive decline and the correlation with objective cognition among community-dwelling older adults in China: Results from the Hubei memory and aging cohort study. Alzheimers Dement 2023; 19:5074-5085. [PMID: 37186161 DOI: 10.1002/alz.13047] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 02/18/2023] [Accepted: 02/23/2023] [Indexed: 05/17/2023]
Abstract
INTRODUCTION The prevalence and risk factors for subjective cognitive decline (SCD) and its correlation with objective cognition decline (OCD) among community-dwelling older adults is inconsistent. METHODS Older adults underwent neuropsychological and clinical evaluations to reach a consensus on diagnoses. RESULTS This study included 7486 adults without mild cognitive impairment and dementia (mean age: 71.35 years [standard deviation = 5.40]). The sex-, age-, and residence-adjusted SCD prevalence was 58.33% overall (95% confidence interval: 58.29% to 58.37%), with higher rates of 61.25% and 59.87% in rural and female subgroups, respectively. SCD global and OCD language, SCD memory and OCD global, SCD and OCD memory, and SCD and OCD language were negatively correlated in fully adjusted models. Seven health and lifestyle factors were associated with an increased risk for SCD. DISCUSSION SCD affected 58.33% of older adults and may indicate concurrent OCD, which should prompt the initiation of preventative intervention for dementia. HIGHLIGHTS SCD affects 58.33% of older adults in China. SCD may indicate concurrent objective cognitive decline. Difficulty finding words and memory impairments may indicate a risk for AD. The presence of SCD may prompt preventative treatment initiation of MCI or dementia. Social network factors may be initial targets for the early prevention of SCD.
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Affiliation(s)
- Gui-Rong Cheng
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
- School of Public Health, Wuhan University of Science and Technology, Wuhan, China
| | - Dan Liu
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
- School of Public Health, Wuhan University of Science and Technology, Wuhan, China
| | - Lin-Ya Huang
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
| | - Gang-Bin Han
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
| | - Fei-Fei Hu
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | | | - Xiao-Ming He
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Yu-Wei Huang
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
| | - Ya-Fu Yu
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
| | - Lang Xu
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
- School of Public Health, Wuhan University of Science and Technology, Wuhan, China
| | - Jin-Quan Li
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
- School of Public Health, Wuhan University of Science and Technology, Wuhan, China
| | - Yu-Shan Chen
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- School of Public Health, Wuhan University of Science and Technology, Wuhan, China
| | - Zhen Wei
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- School of Public Health, Wuhan University of Science and Technology, Wuhan, China
| | - Qiong Wu
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Yu-Fei Mei
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Xing-Xing Chen
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Yang-Ming Ou
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Jing-Jing Zhang
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Meng-Liu Yang
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Peng-Fei Lian
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Wei Tan
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Xin-Yan Xie
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
- School of Public Health, Wuhan University of Science and Technology, Wuhan, China
| | - Yan Zeng
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
- School of Public Health, Wuhan University of Science and Technology, Wuhan, China
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Bruus AE, Waldemar G, Vogel A. Subjective Complaints are Similar in Subjective Cognitive Decline and Early-Stage Alzheimer's Disease when Assessed in a Memory Clinic Setting. J Geriatr Psychiatry Neurol 2023; 36:479-486. [PMID: 36892567 DOI: 10.1177/08919887231164352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/10/2023]
Abstract
BACKGROUND Subjective cognitive complaints are generally poorly associated with objective memory functioning in older persons. Subjective cognitive decline (SCD) is a key feature in SCD and amnestic mild cognitive impairment (aMCI) which both can represent early Alzheimer's disease (AD). The aim of this study was to assess how memory clinic patients with SCD, MCI and mild AD dementia scored on 3 different complaint measures and if the format of assessment had an impact on the association with cognitive functioning, age, and depressive symptoms. METHODS We included 17 SCD patients, 17 aMCI patients, 17 patients with mild AD, and 30 controls. Complaints were assessed with the Cognitive Change Index (CCI), the Subjective Memory Complaints (SMC) scale, and the Memory Complaint Questionnaire (MAC-Q). RESULTS There were no significant differences between the total scores in the patient groups on the questionnaires. However, significant differences were found in the number of patients classified with impairment when using the CCI, the SMC, and the MAC-Q. Scores on all questionnaires were significantly associated with depressive symptoms, and significant associations with age, gender, and Addenbrookes Cognitive Examination score were found for the SMC. In patients with cognitive dysfunction, lower memory awareness significantly predicted fewer cognitive complaints. CONCLUSIONS SCD patients in a memory clinic setting report the same degree of cognitive impairment as patients with aMCI and mild dementia, and in a hospital-based cohort we extend previous findings from healthy controls, that definition of SCD may depend on the format of assessment.
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Affiliation(s)
- Anna E Bruus
- Danish Dementia Research Centre, Department of Neurology, Rigshospitalet, Copenhagen, Denmark
| | - Gunhild Waldemar
- Danish Dementia Research Centre, Department of Neurology, Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Denmark
| | - Asmus Vogel
- Danish Dementia Research Centre, Department of Neurology, Rigshospitalet, Copenhagen, Denmark
- Department of Psychology, University of Copenhagen, Denmark
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Li H, Tan CC, Tan L, Xu W. Predictors of cognitive deterioration in subjective cognitive decline: evidence from longitudinal studies and implications for SCD-plus criteria. J Neurol Neurosurg Psychiatry 2023; 94:844-854. [PMID: 36868847 DOI: 10.1136/jnnp-2022-330246] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Accepted: 01/28/2023] [Indexed: 03/05/2023]
Abstract
BACKGROUND Subjective cognitive decline (SCD) is an early manifestation of cognitive deterioration (CD) in some individuals. Therefore, it is worthwhile to conduct a systematic review and meta-analysis to summarise predictors of CD among individuals with SCD. METHOD PubMed, Embase, and Cochrane Library were searched until May 2022. Longitudinal studies that assessed factors associated with CD in SCD population were included. Multivariable-adjusted effect estimates were pooled using random-effects models. The credibility of evidence was assessed. The study protocol was registered with PROSPERO. RESULTS A total of 69 longitudinal studies were identified for systematic review, of which 37 were included for the meta-analysis. The mean conversion rate of SCD to any CD was 19.8%, including all-cause dementia (7.3%) and Alzheimer's disease (4.9%). Sixteen factors (66.67%) were found as predictors, including 5 SCD features (older age at onset, stable SCD, both self- and informant-reported SCD, worry and SCD in the memory clinic), 4 biomarkers (cerebral amyloid β-protein deposition, lower scores of Hulstaert formula, higher total tau in the cerebrospinal fluid and hippocampus atrophy), 4 modifiable factors (lower education, depression, anxiety and current smoking), 2 unmodifiable factors (apolipoprotein E4 and older age) and worse performance on Trail Making Test B. The robustness of overall evidence was impaired by risk of bias and heterogeneity. CONCLUSION This study constructed a risk factor profile for SCD to CD conversion, supporting and supplementing the existing list of features for identifying SCD populations at high risk of objective cognitive decline or dementia. These findings could promote early identification and management of high-risk populations to delay dementia onset. PROSPERO REGISTRATION NUMBER CRD42021281757.
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Affiliation(s)
- Han Li
- Neurology department, Qingdao Municipal Hospital Group, Qingdao University, Qingdao, Shandong, China
- Medical College, Qingdao University, Qingdao, China
| | - Chen-Chen Tan
- Neurology department, Qingdao Municipal Hospital Group, Qingdao University, Qingdao, Shandong, China
| | - Lan Tan
- Neurology department, Qingdao Municipal Hospital Group, Qingdao University, Qingdao, Shandong, China
| | - Wei Xu
- Neurology department, Qingdao Municipal Hospital Group, Qingdao University, Qingdao, Shandong, China
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10
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Hammers DB, Pentchev JV, Kim HJ, Spencer RJ, Apostolova LG. The relationship between learning slopes and Alzheimer's Disease biomarkers in cognitively unimpaired participants with and without subjective memory concerns. J Clin Exp Neuropsychol 2023; 45:727-743. [PMID: 37676258 PMCID: PMC10916703 DOI: 10.1080/13803395.2023.2254444] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 08/29/2023] [Indexed: 09/08/2023]
Abstract
OBJECTIVE Learning slopes represent serial acquisition of information during list-learning tasks. Although several calculations for learning slopes exist, the Learning Ratio (LR) has recently demonstrated the highest sensitivity toward changes in cognition and Alzheimer's disease (AD) biomarkers. However, investigation of learning slopes in cognitively unimpaired individuals with subjective memory concerns (SMC) has been limited. The current study examines the association of learning slopes to SMC, and the role of SMC in the relationship between learning slopes and AD biomarkers in cognitively unimpaired individuals. METHOD Data from 950 cognitively unimpaired participants from the Alzheimer's Disease Neuroimaging Initiative (aged 55 to 89) were used to calculate learning slope metrics. Learning slopes among those with and without SMC were compared with demographic correction, and the relationships of learning slopes with AD biomarkers of bilateral hippocampal volume and β-amyloid pathology were determined. RESULTS Learning slopes were consistently predictive of hippocampal atrophy and β-amyloid deposition. Results were heightened for LR relative to the other learning slopes. Additionally, interaction analyses revealed different associations between learning slopes and hippocampal volume as a function of SMC status. CONCLUSIONS Learning slopes appear to be sensitive to SMC and AD biomarkers, with SMC status influencing the relationship in cognitively unimpaired participants. These findings advance our knowledge of SMC, and suggest that LR - in particular - can be an important tool for the detection of AD pathology in both SMC and in AD clinical trials.
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Affiliation(s)
- Dustin B. Hammers
- Department of Neurology, Indiana University School of Medicine, Indianapolis, Indiana, USA, 46202
| | - Julian V. Pentchev
- Department of Neurology, Indiana University School of Medicine, Indianapolis, Indiana, USA, 46202
| | - Hee Jin Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
- Department of Digital Health, SAIHST, Sungkyunkwan University, Seoul, South Korea
| | - Robert J. Spencer
- Mental Health Service, VA Ann Arbor Healthcare System, Ann Arbor MI, USA, 48105
- Michigan Medicine, Department of Psychiatry, Neuropsychology Section, Ann Arbor MI, USA, 48105
| | - Liana G. Apostolova
- Department of Neurology, Indiana University School of Medicine, Indianapolis, Indiana, USA, 46202
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, USA, 46202
- Department of Radiology and Imaging Sciences, Center for Neuroimaging, Indiana University School of Medicine Indianapolis, Indianapolis, Indiana, USA, 46202
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11
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Zhang JJ, Wu ZX, Tan W, Liu D, Cheng GR, Xu L, Hu FF, Zeng Y. Associations among multidomain lifestyles, chronic diseases, and dementia in older adults: a cross-sectional analysis of a cohort study. Front Aging Neurosci 2023; 15:1200671. [PMID: 37600519 PMCID: PMC10438989 DOI: 10.3389/fnagi.2023.1200671] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 07/10/2023] [Indexed: 08/22/2023] Open
Abstract
Background Unhealthy lifestyles and chronic diseases are commonly seen and treatable factors in older adults and are both associated with dementia. However, the synergistic effect of the interaction of lifestyles and chronic diseases on dementia is unknown. Methods We determined independent associations of multidomain lifestyles and chronic diseases (cerebrovascular disease, diabetes, and hypertension) with dementia and examined their synergistic impact on dementia among older adults. The data were drawn from the Hubei Memory and Aging Cohort Study. We created a summary score of six factors for multidomain lifestyles. Dementia was diagnosed according to the Diagnostic and Statistical Manual of Mental Disorders IV. Logistic regression and multiple correspondence analyses were used to explore the relationships among multidomain lifestyles, chronic diseases, and dementia. A sensitivity analysis was performed to minimize the interference of reverse causality and potential confounders. Results Independent associations with dementia were found in unhealthy (OR = 1.90, 95% CI: 1.38-2.61) and intermediate healthy lifestyles (OR, 3.29, 2.32-4.68), hypertension (OR, 1.21, 1.01-1.46), diabetes (OR, 1.30, 1.04-1.63), and cerebrovascular disease (OR, 1.39, 1.12-1.72). Interactions of diabetes (p = 0.004), hypertension (p = 0.004), and lifestyles were significant, suggesting a combined impact on dementia. Sensitivity analysis supported the strong association among multidomain lifestyles, chronic diseases, and dementia prevalence. Conclusion An unhealthy lifestyle was associated with a higher prevalence of dementia, regardless of whether the participants had chronic diseases; however, this association was stronger in individuals with chronic diseases. Multidomain lifestyles and chronic diseases may have an enhanced impact on dementia.
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Affiliation(s)
- Jing-jing Zhang
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- School of Public Health, Wuhan University of Science and Technology, Wuhan, China
| | - Zhao-xia Wu
- Wuchang Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Wei Tan
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Dan Liu
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- School of Public Health, Wuhan University of Science and Technology, Wuhan, China
| | - Gui-rong Cheng
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- School of Public Health, Wuhan University of Science and Technology, Wuhan, China
| | - Lang Xu
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- School of Public Health, Wuhan University of Science and Technology, Wuhan, China
| | - Fei-fei Hu
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- School of Public Health, Wuhan University of Science and Technology, Wuhan, China
| | - Yan Zeng
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- School of Public Health, Wuhan University of Science and Technology, Wuhan, China
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12
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Tian M, Zuo C, Civelek AC, Carrio I, Watanabe Y, Kang KW, Murakami K, Garibotto V, Prior JO, Barthel H, Guan Y, Lu J, Zhou R, Jin C, Wu S, Zhang X, Zhong Y, Zhang H. International Nuclear Medicine Consensus on the Clinical Use of Amyloid Positron Emission Tomography in Alzheimer's Disease. PHENOMICS (CHAM, SWITZERLAND) 2023; 3:375-389. [PMID: 37589025 PMCID: PMC10425321 DOI: 10.1007/s43657-022-00068-9] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Revised: 07/19/2022] [Accepted: 07/22/2022] [Indexed: 08/18/2023]
Abstract
Alzheimer's disease (AD) is the main cause of dementia, with its diagnosis and management remaining challenging. Amyloid positron emission tomography (PET) has become increasingly important in medical practice for patients with AD. To integrate and update previous guidelines in the field, a task group of experts of several disciplines from multiple countries was assembled, and they revised and approved the content related to the application of amyloid PET in the medical settings of cognitively impaired individuals, focusing on clinical scenarios, patient preparation, administered activities, as well as image acquisition, processing, interpretation and reporting. In addition, expert opinions, practices, and protocols of prominent research institutions performing research on amyloid PET of dementia are integrated. With the increasing availability of amyloid PET imaging, a complete and standard pipeline for the entire examination process is essential for clinical practice. This international consensus and practice guideline will help to promote proper clinical use of amyloid PET imaging in patients with AD.
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Affiliation(s)
- Mei Tian
- PET Center, Huashan Hospital, Fudan University, Shanghai, 200235 China
- Human Phenome Institute, Fudan University, Shanghai, 201203 China
- Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, 310009 China
| | - Chuantao Zuo
- PET Center, Huashan Hospital, Fudan University, Shanghai, 200235 China
- National Center for Neurological Disorders and National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, 200040 China
| | - Ali Cahid Civelek
- Department of Radiology and Radiological Science, Division of Nuclear Medicine and Molecular Imaging, Johns Hopkins Medicine, Baltimore, 21287 USA
| | - Ignasi Carrio
- Department of Nuclear Medicine, Hospital Sant Pau, Autonomous University of Barcelona, Barcelona, 08025 Spain
| | - Yasuyoshi Watanabe
- Laboratory for Pathophysiological and Health Science, RIKEN Center for Biosystems Dynamics Research, Kobe, Hyogo 650-0047 Japan
| | - Keon Wook Kang
- Department of Nuclear Medicine, Seoul National University College of Medicine, Seoul, 03080 Korea
| | - Koji Murakami
- Department of Radiology, Juntendo University Hospital, Tokyo, 113-8431 Japan
| | - Valentina Garibotto
- Diagnostic Department, University Hospitals of Geneva and NIMTlab, University of Geneva, Geneva, 1205 Switzerland
| | - John O. Prior
- Department of Nuclear Medicine and Molecular Imaging, Lausanne University Hospital, Lausanne, 1011 Switzerland
| | - Henryk Barthel
- Department of Nuclear Medicine, Leipzig University Medical Center, Leipzig, 04103 Germany
| | - Yihui Guan
- PET Center, Huashan Hospital, Fudan University, Shanghai, 200235 China
| | - Jiaying Lu
- PET Center, Huashan Hospital, Fudan University, Shanghai, 200235 China
| | - Rui Zhou
- Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, 310009 China
| | - Chentao Jin
- Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, 310009 China
| | - Shuang Wu
- Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, 310009 China
| | - Xiaohui Zhang
- Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, 310009 China
| | - Yan Zhong
- Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, 310009 China
| | - Hong Zhang
- Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, 310009 China
- Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, 310009 China
- The College of Biomedical Engineering and Instrument Science of Zhejiang University, Hangzhou, 310007 China
- Key Laboratory for Biomedical Engineering of Ministry of Education, Zhejiang University, Hangzhou, 310007 China
| | - Molecular Imaging-Based Precision Medicine Task Group of A3 (China-Japan-Korea) Foresight Program
- PET Center, Huashan Hospital, Fudan University, Shanghai, 200235 China
- Human Phenome Institute, Fudan University, Shanghai, 201203 China
- Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, 310009 China
- National Center for Neurological Disorders and National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, 200040 China
- Department of Radiology and Radiological Science, Division of Nuclear Medicine and Molecular Imaging, Johns Hopkins Medicine, Baltimore, 21287 USA
- Department of Nuclear Medicine, Hospital Sant Pau, Autonomous University of Barcelona, Barcelona, 08025 Spain
- Laboratory for Pathophysiological and Health Science, RIKEN Center for Biosystems Dynamics Research, Kobe, Hyogo 650-0047 Japan
- Department of Nuclear Medicine, Seoul National University College of Medicine, Seoul, 03080 Korea
- Department of Radiology, Juntendo University Hospital, Tokyo, 113-8431 Japan
- Diagnostic Department, University Hospitals of Geneva and NIMTlab, University of Geneva, Geneva, 1205 Switzerland
- Department of Nuclear Medicine and Molecular Imaging, Lausanne University Hospital, Lausanne, 1011 Switzerland
- Department of Nuclear Medicine, Leipzig University Medical Center, Leipzig, 04103 Germany
- Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, 310009 China
- The College of Biomedical Engineering and Instrument Science of Zhejiang University, Hangzhou, 310007 China
- Key Laboratory for Biomedical Engineering of Ministry of Education, Zhejiang University, Hangzhou, 310007 China
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13
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César-Freitas KG, Berardis ACP, Pretto TVM, Viagi AM, Lourençon V, Zanini LYK, Barbosa ICC, Machado RP, Cunha NGM, Watanabe MJL, Cecchini MA, Brucki SMD, Nitrini R. Follow-up of participants with subjective cognitive decline from Tremembé epidemiologic study, Brazil. Dement Neuropsychol 2023; 17:e20220064. [PMID: 37261255 PMCID: PMC10229081 DOI: 10.1590/1980-5764-dn-2022-0064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 02/07/2023] [Accepted: 03/09/2023] [Indexed: 06/02/2023] Open
Abstract
Subjective cognitive decline is defined as a self-perceived cognitive decline but with normal performance in neuropsychological assessments. Objective To verify the evolution of patients diagnosed with subjective cognitive decline compared to the cognitively normal group without any concern. Methods This is a follow-up study based on data analysis from the Tremembé epidemiologic study, in Brazil. The 211 individuals classified as cognitively normal and 174 diagnosed as having subjective cognitive decline at baseline were invited to participate. Results After a median follow-up time of five years, 108 subjective cognitive decline participants (62.0%) were reassessed. Of these, 58 (53.7%) kept this diagnosis, whereas 14 individuals (12.9%) progressed to mild cognitive impairment and 5 (4.6%) to dementia. In the cognitively normal group, 107 (50.7%) were reassessed, of which 51 (47.7%) were still classified likewise, 6 (5.6%) evolved to mild cognitive impairment and 9 (8.4%) to dementia. The presence of cognitive decline had a significant association with increasing age and depression symptoms. Considering the total number of baseline participants in each group: the subjective cognitive decline group showed higher percentage of mild cognitive impairment (p=0.022) and no difference was found in progression to dementia (p=0.468) between the groups after follow-up assessment. Conclusion Most subjective cognitive decline participants at baseline kept their cognitive complaint at follow-up and this group progressed more to mild cognitive impairment than the other group. No difference in the progression to dementia was found, despite the higher incidence of dementia in the cognitively normal group.
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Affiliation(s)
- Karolina Gouveia César-Freitas
- Universidade de São Paulo, Faculdade de Medicina, Unidade de Neurologia Cognitiva e Comportamental, Departamento de Neurologia, São Paulo SP, Brazil
- Universidade de Taubaté, Departamento de Medicina, Taubaté SP, Brazil
| | | | | | | | - Vitorio Lourençon
- Universidade de Taubaté, Departamento de Medicina, Taubaté SP, Brazil
| | | | | | | | | | | | - Mario Amore Cecchini
- Universidade de São Paulo, Faculdade de Medicina, Unidade de Neurologia Cognitiva e Comportamental, Departamento de Neurologia, São Paulo SP, Brazil
| | - Sonia Maria Dozzi Brucki
- Universidade de São Paulo, Faculdade de Medicina, Unidade de Neurologia Cognitiva e Comportamental, Departamento de Neurologia, São Paulo SP, Brazil
| | - Ricardo Nitrini
- Universidade de São Paulo, Faculdade de Medicina, Unidade de Neurologia Cognitiva e Comportamental, Departamento de Neurologia, São Paulo SP, Brazil
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14
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Zeyen P, Sannemann L, Bohr L, Escher C, Müller T, Ramírez A, Rostamzadeh A, Jessen F. [Brain health services: individual dementia risk profiling at the Cologne Alzheimer Prevention Center]. DER NERVENARZT 2023; 94:392-399. [PMID: 36881112 DOI: 10.1007/s00115-023-01451-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 01/23/2023] [Indexed: 03/08/2023]
Abstract
BACKGROUND According to current knowledge approximately 30-40% of all cases of dementia can be attributed to modifiable risk factors. As a result, dementia prevention and the concept of brain health are becoming increasingly relevant. RESEARCH QUESTION The requirements for brain health services and their implementation are discussed and the Cologne Alzheimer Prevention Center (KAP) of the University Hospital Cologne is described as an example. MATERIAL AND METHODS In addition to a report on international brain health initiatives, the main activities of the KAP are presented. A program for individual risk profiling and risk communication is provided, which was piloted in the KAP in the context of the "Individual risk profiling for Alzheimer's disease and dementia prevention (INSPIRATION)" study. The prevalence of risk factors in a cognitively healthy sample aged 50-86 years (n = 162) with interest in dementia prevention is presented. RESULTS The most common risk factors were non-Mediterranean diet, obesity, subjective poor sleep quality and increased stress. Based on these results, preventive interventions can be developed that are adapted to the individual risk profile as a personalized medicine approach. DISCUSSION Structures such as the KAP can provide individual risk factor assessment and personalized dementia prevention. The efficacy of this approach on dementia risk reduction needs to be evaluated.
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Affiliation(s)
- Philip Zeyen
- Medizinische Fakultät und Uniklinik Köln, Klinik und Poliklinik für Psychiatrie und Psychotherapie, Universität zu Köln, Kerpener Str. 62, 50937, Köln, Deutschland.
| | - Lena Sannemann
- Medizinische Fakultät und Uniklinik Köln, Klinik und Poliklinik für Psychiatrie und Psychotherapie, Universität zu Köln, Kerpener Str. 62, 50937, Köln, Deutschland.
| | - Lara Bohr
- Medizinische Fakultät und Uniklinik Köln, Klinik und Poliklinik für Psychiatrie und Psychotherapie, Universität zu Köln, Kerpener Str. 62, 50937, Köln, Deutschland
| | - Claus Escher
- Klinik für Neurodegenerative Erkrankungen und Gerontopsychiatrie, Universitätsklinikum Bonn, Bonn, Deutschland.,Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Bonn/Köln, Bonn, Deutschland
| | - Theresa Müller
- Medizinische Fakultät und Uniklinik Köln, Klinik und Poliklinik für Psychiatrie und Psychotherapie, Universität zu Köln, Kerpener Str. 62, 50937, Köln, Deutschland.,Medizinische Fakultät und Uniklinik Köln, Klinik und Poliklinik für Kinder- und Jugendmedizin, Universität zu Köln, Köln, Deutschland
| | - Alfredo Ramírez
- Medizinische Fakultät und Uniklinik Köln, Klinik und Poliklinik für Psychiatrie und Psychotherapie, Universität zu Köln, Kerpener Str. 62, 50937, Köln, Deutschland.,Klinik für Neurodegenerative Erkrankungen und Gerontopsychiatrie, Universitätsklinikum Bonn, Bonn, Deutschland.,Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Bonn/Köln, Bonn, Deutschland.,Medizinische Fakultät und Uniklinik Köln, Cluster of Excellence Cellular Stress Responses in Aging-associated Diseases (CECAD), Universität zu Köln, Köln, Deutschland
| | - Ayda Rostamzadeh
- Medizinische Fakultät und Uniklinik Köln, Klinik und Poliklinik für Psychiatrie und Psychotherapie, Universität zu Köln, Kerpener Str. 62, 50937, Köln, Deutschland
| | - Frank Jessen
- Medizinische Fakultät und Uniklinik Köln, Klinik und Poliklinik für Psychiatrie und Psychotherapie, Universität zu Köln, Kerpener Str. 62, 50937, Köln, Deutschland.,Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Bonn/Köln, Bonn, Deutschland.,Medizinische Fakultät und Uniklinik Köln, Cluster of Excellence Cellular Stress Responses in Aging-associated Diseases (CECAD), Universität zu Köln, Köln, Deutschland
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15
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Selwood AE, Catts VS, Numbers K, Lee T, Thalamuthu A, Wright MJ, Sachdev P. The Heritability of Subjective Cognitive Complaints in Older Australian Twins. J Alzheimers Dis 2023; 92:1015-1026. [PMID: 36847002 DOI: 10.3233/jad-221008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/23/2023]
Abstract
BACKGROUND Subjective cognitive complaints (SCCs) may be a precursor to mild cognitive impairment (MCI) and dementia. OBJECTIVE This study aimed to examine the heritability of SCCs, correlations between SCC and memory ability, and the influence of personality and mood on these relationships. METHODS Participants were 306 twin pairs. The heritability of SCCs and the genetic correlations between SCCs and memory performance, personality, and mood scores were determined using structural equation modelling. RESULTS SCCs were low to moderately heritable. Memory performance, personality and mood were genetically, environmentally, and phenotypically correlated with SCCs in bivariate analysis. However, in multivariate analysis, only mood and memory performance had significant correlations with SCCs. Mood appeared to be related to SCCs by an environmental correlation, whereas memory performance was related to SCCs by a genetic correlation. The link between personality and SCCs was mediated by mood. SCCs had a significant amount of both genetic and environmental variances not explained by memory performance, personality, or mood. CONCLUSION Our results suggest that SCCs are influenced both by a person's mood and their memory performance, and that these determinants are not mutually exclusive. While SCCs had genetic overlap with memory performance and environmental association with mood, much of the genetic and environmental components that comprised SCCs were specific to SCCs, though these specific factors are yet to be determined.
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Affiliation(s)
- Amanda E Selwood
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, NSW, Australia
| | - Vibeke S Catts
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, NSW, Australia
| | - Katya Numbers
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, NSW, Australia
| | - Teresa Lee
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, NSW, Australia
| | - Anbupalam Thalamuthu
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, NSW, Australia
| | - Margaret J Wright
- Queensland Brain Institute, University of Queensland, Brisbane, Qld, Australia
| | - Perminder Sachdev
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, NSW, Australia
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16
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Zhao YL, Ou YN, Ma YH, Tan L, Yu JT. Characteristics of Subjective Cognitive Decline Associated with Alzheimer's Disease Amyloid Pathology: Findings from The CABLE Study. J Alzheimers Dis 2023; 92:581-590. [PMID: 36776070 DOI: 10.3233/jad-221154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/10/2023]
Abstract
BACKGROUND Subjective cognitive decline (SCD) is considered as a preclinical hallmark of Alzheimer's disease (AD). However, the characteristics of SCD associated with amyloid pathology remain unclear. OBJECTIVE We aimed to explore the associations between SCD characteristics with amyloid pathology. METHODS Using logistic regression analyses, we analyzed the associations between cerebrospinal fluid (CSF) amyloid pathology with AD risk factors, SCD-specific characteristics (onset of SCD within the last five years, age at onset ≥60 years, feelings of worse performance, informant confirmation of complaints, worries, other domains of cognition complaints), as well as subthreshold depressive and anxiety symptoms among individuals with SCD. RESULTS A total of 535 SCD individuals with available CSF Aβ 42 information from the Chinese Alzheimer's Biomarker and LifestylE (CABLE) study (mean age of 63.5 years, range 40 to 88 years; 47.10% female) were enrolled. The characteristics of informant confirmation of complaints (OR, 95% CI = 2.00, 1.19-3.36), subthreshold depressive symptoms (OR, 95% CI = 2.31, 1.05-5.09), and subthreshold anxiety symptoms (OR, 95% CI = 2.22, 1.09-4.51) were found to be significantly associated with pathological amyloid in multivariate analyses when adjusting for age, sex, education, and APOE ɛ4. Besides, age and females were observed risks for amyloid pathology in subscale analyses. Nonetheless, we did not find any associations of other SCD-specific characteristics with amyloid pathology in this study. CONCLUSION Our study suggested that informant confirmed complaints and subthreshold psychiatric symptoms might be critical for discriminating AD-related SCD from non-AD related SCD.
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Affiliation(s)
- Yong-Li Zhao
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Ya-Nan Ou
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Ya-Hui Ma
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Lan Tan
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Jin-Tai Yu
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontier Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
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17
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Jessen F, Wolfsgruber S, Kleineindam L, Spottke A, Altenstein S, Bartels C, Berger M, Brosseron F, Daamen M, Dichgans M, Dobisch L, Ewers M, Fenski F, Fliessbach K, Freiesleben SD, Glanz W, Görß D, Gürsel S, Janowitz D, Kilimann I, Kobeleva X, Lohse A, Maier F, Metzger C, Munk M, Preis L, Sanzenbacher C, Spruth E, Rauchmann B, Vukovich R, Yakupov R, Weyrauch AS, Ziegler G, Schmid M, Laske C, Perneczky R, Schneider A, Wiltfang J, Teipel S, Bürger K, Priller J, Peters O, Ramirez A, Boecker H, Heneka MT, Wagner M, Düzel E. Subjective cognitive decline and stage 2 of Alzheimer disease in patients from memory centers. Alzheimers Dement 2023; 19:487-497. [PMID: 35451563 DOI: 10.1002/alz.12674] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 01/22/2022] [Accepted: 02/17/2022] [Indexed: 11/06/2022]
Abstract
INTRODUCTION It is uncertain whether subjective cognitive decline (SCD) in individuals who seek medical help serves the identification of the initial symptomatic stage 2 of the Alzheimer's disease (AD) continuum. METHODS Cross-sectional and longitudinal data from the multicenter, memory clinic-based DELCODE study. RESULTS The SCD group showed slightly worse cognition as well as more subtle functional and behavioral symptoms than the control group (CO). SCD-A+ cases (39.3% of all SCD) showed greater hippocampal atrophy, lower cognitive and functional performance, and more behavioral symptoms than CO-A+. Amyloid concentration in the CSF had a greater effect on longitudinal cognitive decline in SCD than in the CO group. DISCUSSION Our data suggests that SCD serves the identification of stage 2 of the AD continuum and that stage 2, operationalized as SCD-A+, is associated with subtle, but extended impact of AD pathology in terms of neurodegeneration, symptoms and clinical progression.
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Affiliation(s)
- Frank Jessen
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department of Psychiatry, University of Cologne, Medical Faculty, Cologne, Germany
| | - Steffen Wolfsgruber
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department of Neurodegenerative Diseases and Gerontopsychiatry, University of Bonn, Bonn, Germany
| | - Luca Kleineindam
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department of Neurodegenerative Diseases and Gerontopsychiatry, University of Bonn, Bonn, Germany
| | - Annika Spottke
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department of Neurology, University of Bonn, Bonn, Germany
| | - Slawek Altenstein
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany.,Department of Neuropsychiatry, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Claudia Bartels
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, Goettingen, Germany
| | - Moritz Berger
- Institute for Medical Biometry, University of Bonn, Bonn, Germany
| | | | - Marcel Daamen
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department of Radiology, University of Bonn, Bonn, Germany
| | - Martin Dichgans
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany.,Institute for Stroke and Dementia Research, Klinikum der Universität München, Munich, Germany
| | - Laura Dobisch
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany.,Institute for Cognitive Neurology and Dementia Research, University of Magdeburg, Magdeburg, Germany
| | - Michael Ewers
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Munich, Germany
| | - Friederike Fenski
- Department of Psychiatry and Psychotherapy, Charité, Berlin, Germany
| | - Klaus Fliessbach
- Department of Neurodegenerative Diseases and Gerontopsychiatry, University of Bonn, Bonn, Germany
| | | | - Wenzel Glanz
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany.,Institute for Cognitive Neurology and Dementia Research, University of Magdeburg, Magdeburg, Germany
| | - Doreen Görß
- German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany.,Department of Psychosomatic Medicine, University of Rostock, Rostock, Germany
| | - Selim Gürsel
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilians-University, München, Germany
| | - Daniel Janowitz
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Munich, Germany
| | - Ingo Kilimann
- German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany.,Department of Psychosomatic Medicine, University of Rostock, Rostock, Germany
| | - Xenia Kobeleva
- Department of Neurodegenerative Diseases and Gerontopsychiatry, University of Bonn, Bonn, Germany
| | - Andrea Lohse
- Department of Neuropsychiatry, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Franziska Maier
- Department of Psychiatry, University of Cologne, Medical Faculty, Cologne, Germany
| | - Coraline Metzger
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany.,Institute for Cognitive Neurology and Dementia Research, University of Magdeburg, Magdeburg, Germany
| | - Matthias Munk
- Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
| | - Lukas Preis
- Department of Psychiatry and Psychotherapy, Charité, Berlin, Germany
| | - Carolin Sanzenbacher
- Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
| | - Eike Spruth
- Department of Neuropsychiatry, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Boris Rauchmann
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilians-University, München, Germany
| | - Ruth Vukovich
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, Goettingen, Germany
| | - Renat Yakupov
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany.,Institute for Cognitive Neurology and Dementia Research, University of Magdeburg, Magdeburg, Germany
| | - Anne-Sophie Weyrauch
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department of Neurodegenerative Diseases and Gerontopsychiatry, University of Bonn, Bonn, Germany
| | - Gabriel Ziegler
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany.,Institute for Cognitive Neurology and Dementia Research, University of Magdeburg, Magdeburg, Germany
| | - Matthias Schmid
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Institute for Medical Biometry, University of Bonn, Bonn, Germany
| | - Christoph Laske
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany.,German Center for Neurodegenerative Diseases (DZNE), Goettingen, Germany
| | - Robert Perneczky
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany.,Department of Psychiatry and Psychotherapy, Ludwig-Maximilians-University, München, Germany
| | - Anja Schneider
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department of Neurodegenerative Diseases and Gerontopsychiatry, University of Bonn, Bonn, Germany
| | - Jens Wiltfang
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, Goettingen, Germany.,German Center for Neurodegenerative Diseases (DZNE), Goettingen, Germany
| | - Stefan Teipel
- German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany.,Department of Psychosomatic Medicine, University of Rostock, Rostock, Germany
| | - Katharina Bürger
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany.,Institute for Stroke and Dementia Research, Klinikum der Universität München, Munich, Germany
| | - Josef Priller
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany.,Department of Neuropsychiatry, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Oliver Peters
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany.,Department of Psychiatry and Psychotherapy, Charité, Berlin, Germany
| | - Alfredo Ramirez
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department of Psychiatry, University of Cologne, Medical Faculty, Cologne, Germany.,Department of Neurodegenerative Diseases and Gerontopsychiatry, University of Bonn, Bonn, Germany
| | - Henning Boecker
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department of Radiology, University of Bonn, Bonn, Germany
| | - Michael T Heneka
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department of Neurodegenerative Diseases and Gerontopsychiatry, University of Bonn, Bonn, Germany
| | - Michael Wagner
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department of Neurodegenerative Diseases and Gerontopsychiatry, University of Bonn, Bonn, Germany
| | - Emrah Düzel
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany.,Institute for Cognitive Neurology and Dementia Research, University of Magdeburg, Magdeburg, Germany
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18
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Yu Y, Yan P, Cheng G, Liu D, Xu L, Yang M, Xu H, Cheng X, Lian P, Zeng Y. Correlation between serum lipid profiles and cognitive impairment in old age: a cross-sectional study. Gen Psychiatr 2023; 36:e101009. [PMID: 37144157 PMCID: PMC10151832 DOI: 10.1136/gpsych-2023-101009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Accepted: 04/04/2023] [Indexed: 05/06/2023] Open
Abstract
Background The correlation between cognitive function and lipid profiles, including total cholesterol, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C) and triglycerides, is inconsistent. Aims This cross-sectional study investigated the association between serum lipid levels and the prevalence of cognitive impairment among community-dwelling older adults and explored this difference in association by gender and urban-rural residency. Methods Participants aged 65 and above in urban and rural areas were recruited between 2018 and 2020, selected from the Hubei Memory and Aging Cohort Study. Detailed neuropsychological evaluations, clinical examinations and laboratory tests were conducted in community health service centres. Multivariate logistic regression was used to analyse the correlation between serum lipid profiles and the prevalence of cognitive impairment. Results We identified 1 336 cognitively impaired adults (≥65 years)-1 066 with mild cognitive impairment and 270 with dementia-from 4 746 participants. Triglycerides level was correlated with cognitive impairment in the total sample (χ2=6.420, p=0.011). In gender-stratified multivariate analysis, high triglycerides in males reduced the risk of cognitive impairment (OR: 0.785, 95% CI: 0.623 to 0.989, p=0.040), and high LDL-C in females increased the risk of cognitive impairment (OR: 1.282, 95% CI: 1.040 to 1.581, p=0.020). In both gender-stratified and urban-rural stratified multivariate analyses, high triglycerides reduced the risk of cognitive impairment in older urban men (OR: 0.734, 95% CI: 0.551 to 0.977, p=0.034), and high LDL-C increased the risk of cognitive impairment in older rural women (OR: 1.830, 95% CI: 1.119 to 2.991, p=0.016). Conclusions There are gender and urban-rural differences in the correlation of serum lipids with cognitive impairment. High triglycerides levels may be a protective factor for cognitive function in older urban men, while high LDL-C levels may be a risk factor for cognitive function in older rural women.
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Affiliation(s)
- Yafu Yu
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology School of Medicine, Wuhan, Hubei, China
| | - Pingting Yan
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology School of Medicine, Wuhan, Hubei, China
- Xiangyang No. 1 People's Hospital Affiliated to Hubei University of Medicine, Xiangyang, Hubei, China
| | - Guirong Cheng
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology School of Medicine, Wuhan, Hubei, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, Hubei, China
| | - Dan Liu
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology School of Medicine, Wuhan, Hubei, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, Hubei, China
| | - Lang Xu
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology School of Medicine, Wuhan, Hubei, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, Hubei, China
| | - Mengliu Yang
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology School of Medicine, Wuhan, Hubei, China
| | - Heng Xu
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology School of Medicine, Wuhan, Hubei, China
| | - Xi Cheng
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology School of Medicine, Wuhan, Hubei, China
| | - Pengfei Lian
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology School of Medicine, Wuhan, Hubei, China
| | - Yan Zeng
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology School of Medicine, Wuhan, Hubei, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, Hubei, China
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19
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PAVEL A, PAUN R, MIHALCEA M, DUTU I, TUDOSE C. Cognitive Differences in Subjective Cognitive Decline with and without Associated Worry. MAEDICA 2022; 17:771-776. [PMID: 36818272 PMCID: PMC9923076 DOI: 10.26574/maedica.2022.17.4.771] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 02/24/2023]
Abstract
Objectives:Subjective cognitive decline (SCD) is a heterogenous concept that has been associated with future objective cognitive decline. Our objective was to assess the cognitive function of three groups: one with SCD who claimed to be worried about their symptoms, one with SCD who did not claim to be worried about their symptoms and one without SCD (control group). Materials and methods: We designed a cross-sectional study including people from primary care units and a memory center. We collected socio-demographic and clinical characteristics of all participants who signed informed consent prior to inclusion. Those with current major depression, anxiety disorder and neurocognitive disorder were excluded. Cognitive evaluation was performed using the Mini-Mental State Examination (MMSE), Rey Auditory-Verbal Learning Test, Rey complex figure test, Trail Making Test A and B and Verbal Fluency Test. Descriptive statistics were used to characterize the sample. We used Chi-Square to analyze categorical variables, ANOVA for normally distributed continuous variables and Kruskal-Wallis for non-normally distributed continuous variables. Statistically significance was established at p<0.05. Results:There were 101 patients included in the analysis, of which 49.50% in the "Yes, and it worries me" group (A), 16.83% in the "Yes, but it does not worry me" (B) group and 33.66% in the control group (C) (participants who answered "No"). There was a statistically significant difference regarding age status (p=.048) between groups A and C. Participants who expressed worry regarding their SCD symptoms had an increased negative emotion trait compared to the control group. There were statistically significant differences in attention and immediate memory between groups A and C. Conclusion:Individuals with SCD and associated worry performed worse in auditory and verbal memory testing when compared to the control group. Longitudinal assessment is necessary to establish firm causal relationships between SCD, personality traits and cognitive function.
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Affiliation(s)
- Alexandru PAVEL
- Psychiatry department, University of Medicine and Pharmacy Carol Davila, Bucharest, Romania
| | - Radu PAUN
- Psychiatry department, University of Medicine and Pharmacy Carol Davila, Bucharest, Romania,”Prof. Dr. Alexandru Obregia” Psychiatric Hospital, Bucharest, Romania
| | - Maria MIHALCEA
- ”Prof. Dr. Alexandru Obregia” Psychiatric Hospital, Bucharest, Romania
| | - Irina DUTU
- Psychiatry department, University of Medicine and Pharmacy Carol Davila, Bucharest, Romania
| | - Catalina TUDOSE
- Psychiatry department, University of Medicine and Pharmacy Carol Davila, Bucharest, Romania,”Prof. Dr. Alexandru Obregia” Psychiatric Hospital, Bucharest, Romania
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20
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Wang Y, Wang Y, Zhu J, Guan Y, Xie F, Cai X, Deng J, Wei Y, He R, Fang Z, Guo Q. Systematic evaluation of urinary formic acid as a new potential biomarker for Alzheimer's disease. Front Aging Neurosci 2022; 14:1046066. [PMID: 36533170 PMCID: PMC9747776 DOI: 10.3389/fnagi.2022.1046066] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Accepted: 11/02/2022] [Indexed: 09/29/2023] Open
Abstract
INTRODUCTION The accumulation of endogenous formaldehyde is considered a pathogenic factor in Alzheimer's disease (AD). The purpose of this study was to investigate the relationship between urinary formic acid and plasma biomarkers in AD. MATERIALS AND METHODS Five hundred and seventy-four participants were divided into five groups according to their diagnosis: 71 with normal cognitive (NC), 101 with subjective cognitive decline (SCD), 131 with cognitive impairment without mild cognitive impairment (CINM), 158 with mild cognitive impairment (MCI), and 113 with AD. RESULTS With the progression of the disease, urinary formic acid levels showed an overall upward trend. Urinary formic acid was significantly correlated with Mini-Mental State Examination (MMSE) scores, the Chinese version of Addenbrooke's Cognitive Examination III (ACE-III) scores, and Montreal Cognitive Assessment-Basic (MoCA-B) time. The areas under the receiver operating characteristic curves (AUC) of urinary formic acid in distinguishing NC from AD was 0.797, which was similar to that of plasma neurofilament light chain (NfL; AUC = 0.768) and better than other plasma biomarkers (Aβ40, Aβ42, Aβ42/Aβ40, T-tau, P-tau181, and P-tau181/T-tau). We also found that using urinary formic acid and formaldehyde levels could improve the accuracy of using plasma biomarkers to determine AD disease stage. DISCUSSION Our study revealed the possibility of urinary formic acid as a potential novel biomarker for the early diagnosis of AD.
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Affiliation(s)
- Yifan Wang
- Department of Gerontology, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
| | - Ying Wang
- Department of Gerontology, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
| | - Jinhang Zhu
- Department of Data and Analytics, WuXi Diagnostics Innovation Research Institute, Shanghai, China
| | - Yihui Guan
- PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Fang Xie
- PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Xiao Cai
- Department of Data and Analytics, WuXi Diagnostics Innovation Research Institute, Shanghai, China
| | - Jiale Deng
- Department of Data and Analytics, WuXi Diagnostics Innovation Research Institute, Shanghai, China
| | - Yan Wei
- State Key Laboratory of Brain and Cognitive Sciences, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Rongqiao He
- State Key Laboratory of Brain and Cognitive Sciences, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Zhuo Fang
- Department of Data and Analytics, WuXi Diagnostics Innovation Research Institute, Shanghai, China
| | - Qihao Guo
- Department of Gerontology, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
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21
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Li Q, Sun X, Cui L, Zhong Y, Wang B, Miao Y, Hu X, Guo Q. Alterations in metamemory capacity and neural correlates in a subtype of subjective cognitive decline. NEUROIMAGE: CLINICAL 2022; 36:103255. [PMID: 36451360 PMCID: PMC9668650 DOI: 10.1016/j.nicl.2022.103255] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 10/19/2022] [Accepted: 10/31/2022] [Indexed: 11/09/2022] Open
Abstract
BACKGROUNDS Subjective cognitive decline (SCD), one of the important clinical indicators for preclinical Alzheimer's disease (AD), is primarily defined as self-perceived cognitive decline without objective evidence for cognitive impairment. However, the accuracy of their self-evaluation of cognition is unclear. This study sought to investigate the capacity for self-evaluation of own cognitive performance in SCD by applying an objective metamemory paradigm. METHODS 147 individuals with SCD were classified into four subgroups by their subjective feeling of worse performance than peers or not (P+/-) and whether they have objectively slight cognitive impairment compared to normative data (S+/-). Metamemory scores, the amplitude of the low-frequency fluctuation (ALFF), fractional low-frequency fluctuation amplitude (fALFF), and cortical thickness were compared among four subgroups. Partial correlations between neuropsychological scores and neuroimaging measures were examined, controlling for age, sex, and education years. RESULTS SCD S+P- showed the worst performance in short-term delayed recall and the worst metamemory performance, indicated by the highest value in the degree of confidence of short-term delayed recall (DOC-N4) and long-term cued recall (DOC-N6) and the worst value in relative accuracy of judgments of short-term delayed recall (ROJ-N4). ALFF values in the bilateral superior medial frontal and olfactory cortices and the left superior orbitofrontal gyrus cortex were significantly higher in SCD P- compared with SCD P+ groups (all P < 0.05, FWE-corrected, cluster-wise level). A significant S × P interaction effect in the left hippocampus and middle cingulate cortex was found for the fALFF signals (all P < 0.05, FWE-corrected, cluster-wise level). Significant interaction and main effects on cortical thickness were reported. The parahippocampal and posterior cingulate cortices were significantly decreased in SCD S+P- (all P < 0.05). CONCLUSION SCD S+P- showed the worst episodic memory performance, altered metamemory capacity (overconfidence and less accuracy of judgment), and altered neuroimaging measures, though they had feelings of similar performance with peers. Our results indicate that metamemory capacity is affected in a subtype of SCD with reduced cortical thickness and intensity of regional spontaneous activity in key areas for metamemory processing.
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Affiliation(s)
- Qinjie Li
- Department of Gerontology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China
| | - Xiaokang Sun
- Department of Gerontology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China
| | - Liang Cui
- Department of Gerontology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China
| | - Yuan Zhong
- Department of Gerontology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China
| | - Beiyun Wang
- Department of Gerontology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China
| | - Ya Miao
- Department of Gerontology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China
| | - Xiaochen Hu
- Department of Psychiatry and Psychotherapy, Medical Faculty, University of Cologne, Cologne, Germany,Corresponding authors.
| | - Qihao Guo
- Department of Gerontology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China,Corresponding authors.
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22
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Janssen O, Jansen WJ, Vos SJ, Boada M, Parnetti L, Gabryelewicz T, Fladby T, Molinuevo JL, Villeneuve S, Hort J, Epelbaum S, Lleó A, Engelborghs S, van der Flier WM, Landau S, Popp J, Wallin A, Scheltens P, Rikkert MO, Snyder PJ, Rowe C, Chételat G, Ruíz A, Marquié M, Chipi E, Wolfsgruber S, Heneka M, Boecker H, Peters O, Jarholm J, Rami L, Tort‐Merino A, Binette AP, Poirier J, Rosa‐Neto P, Cerman J, Dubois B, Teichmann M, Alcolea D, Fortea J, Sánchez‐Saudinós MB, Ebenau J, Pocnet C, Eckerström M, Thompson L, Villemagne V, Buckley R, Burnham S, Delarue M, Freund‐Levi Y, Wallin ÅK, Ramakers I, Tsolaki M, Soininen H, Hampel H, Spiru L, Tijms B, Ossenkoppele R, Verhey FRJ, Jessen F, Visser PJ. Characteristics of subjective cognitive decline associated with amyloid positivity. Alzheimers Dement 2022; 18:1832-1845. [PMID: 34877782 PMCID: PMC9786747 DOI: 10.1002/alz.12512] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Revised: 07/21/2021] [Accepted: 09/22/2021] [Indexed: 01/28/2023]
Abstract
INTRODUCTION The evidence for characteristics of persons with subjective cognitive decline (SCD) associated with amyloid positivity is limited. METHODS In 1640 persons with SCD from 20 Amyloid Biomarker Study cohort, we investigated the associations of SCD-specific characteristics (informant confirmation, domain-specific complaints, concerns, feelings of worse performance) demographics, setting, apolipoprotein E gene (APOE) ε4 carriership, and neuropsychiatric symptoms with amyloid positivity. RESULTS Between cohorts, amyloid positivity in 70-year-olds varied from 10% to 76%. Only older age, clinical setting, and APOE ε4 carriership showed univariate associations with increased amyloid positivity. After adjusting for these, lower education was also associated with increased amyloid positivity. Only within a research setting, informant-confirmed complaints, memory complaints, attention/concentration complaints, and no depressive symptoms were associated with increased amyloid positivity. Feelings of worse performance were associated with less amyloid positivity at younger ages and more at older ages. DISCUSSION Next to age, setting, and APOE ε4 carriership, SCD-specific characteristics may facilitate the identification of amyloid-positive individuals.
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Affiliation(s)
- Olin Janssen
- Alzheimer Centre LimburgDepartment of Psychiatry and NeuropsychologySchool for Mental Health and NeuroscienceMaastricht UniversityMaastrichtThe Netherlands
| | - Willemijn J. Jansen
- Alzheimer Centre LimburgDepartment of Psychiatry and NeuropsychologySchool for Mental Health and NeuroscienceMaastricht UniversityMaastrichtThe Netherlands
| | - Stephanie J.B. Vos
- Alzheimer Centre LimburgDepartment of Psychiatry and NeuropsychologySchool for Mental Health and NeuroscienceMaastricht UniversityMaastrichtThe Netherlands
| | - Merce Boada
- Fundació ACEInstitut Català de Neurociències AplicadesFacultat de MedicinaUniversitat International de Catalunya‐BarcelonaBarcelonaSpain,Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED)Instituto de Salud Carlos IIIMadridSpain
| | - Lucilla Parnetti
- Section of NeurologyCenter for Memory Disturbances – Lab. of Clinical NeurochemistryDepartment of Medicine and SurgeryUniversity of PerugiaPerugiaItaly
| | - Tomasz Gabryelewicz
- Department of Neurodegenerative DisordersMossakowski Medical Research CentrePolish Academy of SciencesWarsawPoland
| | - Tormod Fladby
- Department of NeurologyAkershus University HospitalLorenskogNorway
| | - José Luis Molinuevo
- Alzheimer's Disease and Other Cognitive Disorders UnitNeurology Service, Hospital Clínic of BarcelonaAugust Pi i Sunyer Biomedical Research Institute (IDIBAPS)BarcelonaSpain
| | - Sylvia Villeneuve
- Centre for Studies on Prevention of Alzheimer's Disease (StOP‐AD) CentreMontrealQuebecCanada
| | - Jakub Hort
- Department of NeurologySecond Faculty of MedicineCharles University and Motol University HospitalPragueCzech Republic,International Clinical Research CenterSt. Anne's University HospitalBrnoCzech Republic
| | - Stéphane Epelbaum
- AP‐HPHôpital de la Pitié SalpêtrièreInstitute of Memory and Alzheimer's Disease (IM2A)Centre of excellence of neurodegenerative disease (CoEN)Department of NeurologyParisFrance,Inserm Sorbonne UniversitéInriaAramis project‐teamParis Brain Institute – Institut du Cerveau (ICM)ParisFrance
| | - Alberto Lleó
- Neurology DepartmentHospital de Sant PauBarcelonaSpain
| | | | - Wiesje M. van der Flier
- Alzheimer Center AmsterdamDepartment of NeurologyAmsterdam NeuroscienceAmsterdam UMCVrije Universiteit AmsterdamAmsterdamThe Netherlands
| | - Susan Landau
- Helen Wills Neuroscience InstituteUniversity of CaliforniaBerkeley, CaliforniaUSA
| | - Julius Popp
- Department of Geriatric PsychiatryPsychiatric University Hospital, ZürichSwitzerland,Old Age PsychiatryUniversity Hospital of LausanneLausanneSwitzerland
| | - Anders Wallin
- CSIRO Health & BiosecurityParkvilleVictoriaAustralia,Institute of Neuroscience and PhysiologySahlgrenska Academy at University of GothenburgMölndalSweden
| | - Philip Scheltens
- Alzheimer Center AmsterdamDepartment of NeurologyAmsterdam NeuroscienceAmsterdam UMCVrije Universiteit AmsterdamAmsterdamThe Netherlands
| | - Marcel Olde Rikkert
- Department of Geriatric MedicineRadboud Alzheimer CenterRadboud University Medical CenterNijmegenThe Netherlands
| | - Peter J. Snyder
- Institute of Clinical MedicineUniversity of OsloOsloNorway,KingstonThe University of Rhode IslandRhode IslandUSA
| | - Chris Rowe
- Department of Molecular Imaging & TherapyAustin HealthMelbourneAustralia
| | - Gaël Chételat
- Institut National de la Sant. et de la Recherche M.dicale (Inserm)CaenFrance
| | - Agustin Ruíz
- Fundació ACEInstitut Català de Neurociències AplicadesFacultat de MedicinaUniversitat International de Catalunya‐BarcelonaBarcelonaSpain,Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED)Instituto de Salud Carlos IIIMadridSpain
| | - Marta Marquié
- Fundació ACEInstitut Català de Neurociències AplicadesFacultat de MedicinaUniversitat International de Catalunya‐BarcelonaBarcelonaSpain,Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED)Instituto de Salud Carlos IIIMadridSpain
| | - Elena Chipi
- Section of NeurologyCenter for Memory Disturbances – Lab. of Clinical NeurochemistryDepartment of Medicine and SurgeryUniversity of PerugiaPerugiaItaly
| | - Steffen Wolfsgruber
- German Center For Neurodegenerative Diseases/Clinical ResearchDeutsches Zentrum für Neurodegenerative Erkrankungen e.V. (DZNE)Zentrum für klinische Forschung/AGCologneGermany,Department of Neurodegenerative Diseases and PsychiatryUniversity Hospital BonnBonnGermany
| | - Michael Heneka
- Department of Neurodegenerative Diseases and PsychiatryUniversity Hospital BonnBonnGermany
| | - Henning Boecker
- Functional Neuroimaging GroupDepartment of RadiologyUniversity Hospital BonnBonnGermany
| | - Oliver Peters
- Klinik für Psychiatrie und PsychotherapieCharité Universitätsmedizin Berlin ‐ CBFBerlinDeutschland
| | - Jonas Jarholm
- Department of NeurologyAkershus University HospitalLorenskogNorway
| | - Lorena Rami
- Alzheimer's Disease and Other Cognitive Disorders UnitNeurology Service, Hospital Clínic of BarcelonaAugust Pi i Sunyer Biomedical Research Institute (IDIBAPS)BarcelonaSpain
| | - Adrià Tort‐Merino
- Alzheimer's Disease and Other Cognitive Disorders UnitNeurology Service, Hospital Clínic of BarcelonaAugust Pi i Sunyer Biomedical Research Institute (IDIBAPS)BarcelonaSpain
| | - Alexa Pichet Binette
- Centre for Studies on Prevention of Alzheimer's Disease (StOP‐AD) CentreMontrealQuebecCanada
| | - Judes Poirier
- Centre for Studies on Prevention of Alzheimer's Disease (StOP‐AD) CentreMontrealQuebecCanada
| | - Pedro Rosa‐Neto
- Centre for Studies on Prevention of Alzheimer's Disease (StOP‐AD) CentreMontrealQuebecCanada
| | - Jiri Cerman
- Department of NeurologySecond Faculty of MedicineCharles University and Motol University HospitalPragueCzech Republic,International Clinical Research CenterSt. Anne's University HospitalBrnoCzech Republic
| | - Bruno Dubois
- AP‐HPHôpital de la Pitié SalpêtrièreInstitute of Memory and Alzheimer's Disease (IM2A)Centre of excellence of neurodegenerative disease (CoEN)Department of NeurologyParisFrance
| | - Marc Teichmann
- AP‐HPHôpital de la Pitié SalpêtrièreInstitute of Memory and Alzheimer's Disease (IM2A)Centre of excellence of neurodegenerative disease (CoEN)Department of NeurologyParisFrance
| | | | - Juan Fortea
- Neurology DepartmentHospital de Sant PauBarcelonaSpain
| | | | - Jarith Ebenau
- Alzheimer Center AmsterdamDepartment of NeurologyAmsterdam NeuroscienceAmsterdam UMCVrije Universiteit AmsterdamAmsterdamThe Netherlands
| | - Cornelia Pocnet
- Old Age PsychiatryUniversity Hospital of LausanneLausanneSwitzerland
| | - Marie Eckerström
- Institute of Neuroscience and PhysiologySahlgrenska Academy at University of GothenburgMölndalSweden
| | - Louisa Thompson
- Institute of Clinical MedicineUniversity of OsloOsloNorway,KingstonThe University of Rhode IslandRhode IslandUSA
| | - Victor Villemagne
- Department of Molecular Imaging & TherapyAustin HealthMelbourneAustralia,Department of PsychiatryUniversity of PittsburghPittsburghUSA
| | - Rachel Buckley
- Brigham and Women's Hospital and Department of Neurology Massachusetts General HospitalHarvard Medical SchoolBostonMassachusettsUSA
| | - Samantha Burnham
- Section of NeurologyCenter for Memory Disturbances – Lab. of Clinical NeurochemistryDepartment of Medicine and SurgeryUniversity of PerugiaPerugiaItaly
| | - Marion Delarue
- Institut National de la Sant. et de la Recherche M.dicale (Inserm)CaenFrance
| | - Yvonne Freund‐Levi
- Department of NeurobiologyCare Sciences and SocietyKarolinska InstitutetStockholmSweden
| | - Åsa K. Wallin
- Department of Clinical Sciences MalmöClinical Memory Research UnitLund UniversityLundSweden
| | - Inez Ramakers
- Alzheimer Centre LimburgDepartment of Psychiatry and NeuropsychologySchool for Mental Health and NeuroscienceMaastricht UniversityMaastrichtThe Netherlands
| | - Magda Tsolaki
- Memory and Dementia Center3rd Department of Neurology“G Papanicolau” General HospitalAristotle University of ThessalonikiThessalonikiGreece
| | - Hilkka Soininen
- Institute of Clinical MedicineNeurologyUniversity of Eastern FinlandKuopioFinland
| | - Harald Hampel
- GRC no 21, Alzheimer Precision Medicine (AMP)AP‐HPPitié‐Salpêtrière HospitalSorbonne UniversityParisFrance
| | - Luiza Spiru
- Carol DAVILA University of Medicine and PharmacyBucharestRomania,Geriatrics‐ Gerontology and Old Age PsychiatryAlzheimer UnitAna Aslan International Foundation – Memory Center and Longevity MedicineBucharestRomania
| | | | | | | | - Betty Tijms
- Alzheimer Centre LimburgDepartment of Psychiatry and NeuropsychologySchool for Mental Health and NeuroscienceMaastricht UniversityMaastrichtThe Netherlands
| | - Rik Ossenkoppele
- Alzheimer Center AmsterdamDepartment of NeurologyAmsterdam NeuroscienceAmsterdam UMCVrije Universiteit AmsterdamAmsterdamThe Netherlands,Clinical Memory Research UnitDepartment of Clinical SciencesMalmöLund UniversityLundSweden,Alzheimer's Disease and Other Cognitive Disorders UnitNeurology Service, Hospital Clínic of BarcelonaAugust Pi i Sunyer Biomedical Research Institute (IDIBAPS)BarcelonaSpain
| | - Frans R. J. Verhey
- Alzheimer Centre LimburgDepartment of Psychiatry and NeuropsychologySchool for Mental Health and NeuroscienceMaastricht UniversityMaastrichtThe Netherlands
| | - Frank Jessen
- Department of PsychiatryUniversity of CologneCologneGermany,German Center For Neurodegenerative Diseases/Clinical ResearchDeutsches Zentrum für Neurodegenerative Erkrankungen e.V. (DZNE)Zentrum für klinische Forschung/AGCologneGermany
| | - Pieter Jelle Visser
- Alzheimer Centre LimburgDepartment of Psychiatry and NeuropsychologySchool for Mental Health and NeuroscienceMaastricht UniversityMaastrichtThe Netherlands,Alzheimer Center AmsterdamDepartment of NeurologyAmsterdam NeuroscienceAmsterdam UMCVrije Universiteit AmsterdamAmsterdamThe Netherlands,Department of NeurobiologyCare Sciences and SocietyKarolinska InstitutetStockholmSweden
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23
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Mullady SSS, Castellanos S, Lopez L, Aguirre G, Weeks J, King S, Valle K, Goode C, Tsoy E, Possin K, Miller B, Kushel M, Lanata S. Neurocognitive health of older adults experiencing homelessness in Oakland, California. Front Neurol 2022; 13:905779. [PMID: 35937073 PMCID: PMC9353024 DOI: 10.3389/fneur.2022.905779] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2022] [Accepted: 06/27/2022] [Indexed: 02/06/2023] Open
Abstract
Background and objectives The homeless population in the US is aging. Cognitive impairment is prevalent in this population, yet little is known about the neurologic etiologies of such impairment. Addressing this gap in knowledge is important because homeless older adults with cognitive impairment due to neurodegenerative disease may need lifelong tailored support to obtain and maintain housing. In this study, we characterized the neurocognitive health of a sample of adults who experienced homelessness for the first time after age 50 using gold standard behavioral neurology examination practices. Methods We conducted a descriptive cross-sectional study of older adults who first experienced homelessness after age 50. We recruited our sample purposively from an ongoing longitudinal cohort study of adults who were aged 50 and over and homeless when they entered the cohort. For this sub study, we enrolled a convenience sample from those who reported their first episode of homelessness after age 50. We did not exclude individuals based on history of substance use. Neurologists conducted a structured neurocognitive history intake, neurological examination, neuropsychological evaluation, and functional assessment between November 2020 and February 2021. We screened all participants for neurocognitive disorders using gold standard clinical research diagnostic criteria. Results We evaluated 25 participants, most were men (76%) and Black (84%), with a median age of 61 years. The most common neurocognitive complaints included deficits in recent episodic memory (n = 15, 60%), executive functions (n = 13, 52%), and behavior/mood, with apathy being the most common complaint (n = 20, 80%). Neuropsychological testing revealed a high prevalence of socioemotional deficits (n = 20, 80%). Common neurological examination deficits included difficulties with coordination, such as impaired Luria task (n = 16, 64%), signs of distal peripheral neuropathy (n = 8, 32%), anosmia/hyposmia (n = 4, 21%), and signs of mild Parkinsonism (n = 5, 20%). The most common diagnoses were MCI (n = 7, 28%), bvFTD (n = 4, 16%), AD (n = 4, 16%), and DLB (n = 2, 8%). Discussion Our findings suggest that neurocognitive concerns and examination deficits are common among older homeless adults. Specific neurocognitive disorders may be overrepresented in this population, particularly frontotemporal disorders. Longitudinal studies involving brain biomarkers are needed to characterize the neurocognitive health of this vulnerable population more precisely.
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Affiliation(s)
- Sandeepa Satya-Sriram Mullady
- Department of Neurology, Memory and Aging Center, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States,*Correspondence: Sandeepa Satya-Sriram Mullady
| | - Stacy Castellanos
- Department of Internal Medicine, UCSF Center for Vulnerable Populations, University of California, San Francisco, San Francisco, CA, United States
| | - Lucia Lopez
- Department of Neurology, Memory and Aging Center, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States
| | - Gloria Aguirre
- Department of Neurology, Memory and Aging Center, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States
| | - John Weeks
- Department of Internal Medicine, UCSF Center for Vulnerable Populations, University of California, San Francisco, San Francisco, CA, United States
| | - Stephen King
- Department of Internal Medicine, UCSF Center for Vulnerable Populations, University of California, San Francisco, San Francisco, CA, United States
| | - Karen Valle
- Department of Internal Medicine, UCSF Center for Vulnerable Populations, University of California, San Francisco, San Francisco, CA, United States
| | - Collette Goode
- Department of Neurology, Memory and Aging Center, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States
| | - Elena Tsoy
- Department of Neurology, Memory and Aging Center, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States
| | - Katherine Possin
- Department of Neurology, Memory and Aging Center, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States
| | - Bruce Miller
- Department of Neurology, Memory and Aging Center, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States
| | - Margot Kushel
- Department of Internal Medicine, UCSF Center for Vulnerable Populations, University of California, San Francisco, San Francisco, CA, United States
| | - Serggio Lanata
- Department of Neurology, Memory and Aging Center, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States,Serggio Lanata
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24
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Cacciamani F, Godefroy V, Brambati SM, Migliaccio R, Epelbaum S, Montembeault M. Differential Patterns of Domain-Specific Cognitive Complaints and Awareness Across the Alzheimer's Disease Spectrum. Front Aging Neurosci 2022; 14:811739. [PMID: 35813963 PMCID: PMC9261482 DOI: 10.3389/fnagi.2022.811739] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Accepted: 04/29/2022] [Indexed: 11/26/2022] Open
Abstract
Background: Characterizing self- and informant-reported cognitive complaints, as well as awareness of cognitive decline (ACD), is useful for an early diagnosis of Alzheimer's disease (AD). However, complaints and ACD related to cognitive functions other than memory are poorly studied. Furthermore, it remains unclear which source of information is the most useful to distinguish various groups on the AD spectrum. Methods: Self- and informant-reported complaints were measured with the Everyday Cognition questionnaire (ECog-Subject and ECog-StudyPartner) in four domains (memory, language, visuospatial, and executive). ACD was measured as the subject-informant discrepancy in the four ECog scores. We compared the ECog and ACD scores across cognitive domains between four groups: 71 amyloid-positive individuals with amnestic AD, 191 amnestic mild cognitive impairment (MCI), or 118 cognitively normal (CN), and 211 amyloid-negative CN controls, selected from the ADNI database. Receiver operating characteristic curves analysis was performed to evaluate the accuracy of the ECog and ACD scores in discriminating clinical groups. Results: Self- and informant-reported complaints were generally distributed as follows: memory, language, executive, and visuospatial (from the most severe to the least severe). Both groups of CN participants presented on average more memory and language complaints than their informant. MCI participants showed good agreement with their informants. AD participants presented anosognosia in all domains, but especially for the executive domain. The four ECog-StudyPartner sub-scores allowed excellent discrimination between groups in almost all classifications and performed significantly better than the other two classifiers considered. The ACD was excellent in distinguishing the participants with AD from the two groups of CN participants. The ECog-Subject was the least accurate in discriminating groups in four of the six classifications performed. Conclusion: In research, the study of complaint and anosognosia should not be reduced solely to the memory domain. In clinical practice, non-amnestic complaints could also be linked to Alzheimer's disease. The presence of an informant also seems necessary given its accuracy as a source of information.
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Affiliation(s)
- Federica Cacciamani
- ARAMISLab, Inserm, CNRS, Sorbonne Université, Inria, Paris Brain Institute (ICM), Pitié-Salpêtrière Hospital, Paris, France
- PHARes Team, Bordeaux Population Health, University of Bordeaux, Inserm, Bordeaux, France
| | - Valérie Godefroy
- FrontLab, Paris Brain Institute (ICM), Pitié-Salpêtrière Hospital, Paris, France
| | - Simona M. Brambati
- Department of Psychology, University of Montreal, Montreal, QC, Canada
- Centre de recherche de l’Institut Universitaire de Gériatrie de Montréal, Montréal, QC, Canada
| | - Raffaella Migliaccio
- FrontLab, Paris Brain Institute (ICM), Pitié-Salpêtrière Hospital, Paris, France
- Institute of Memory and Alzheimer’s disease (IM2A), Pitié-Salpêtrière Hospital, Paris, France
| | - Stéphane Epelbaum
- ARAMISLab, Inserm, CNRS, Sorbonne Université, Inria, Paris Brain Institute (ICM), Pitié-Salpêtrière Hospital, Paris, France
- Institute of Memory and Alzheimer’s disease (IM2A), Pitié-Salpêtrière Hospital, Paris, France
| | - Maxime Montembeault
- Douglas Mental Health University Institute, Montreal, QC, Canada
- Department of Psychiatry, McGill University, Montreal, QC, Canada
- Memory & Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, CA, United States
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25
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Berron D, Ziegler G, Vieweg P, Billette O, Güsten J, Grande X, Heneka MT, Schneider A, Teipel S, Jessen F, Wagner M, Düzel E. Feasibility of Digital Memory Assessments in an Unsupervised and Remote Study Setting. Front Digit Health 2022; 4:892997. [PMID: 35721797 PMCID: PMC9199443 DOI: 10.3389/fdgth.2022.892997] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 04/12/2022] [Indexed: 11/13/2022] Open
Abstract
Sensitive and frequent digital remote memory assessments via mobile devices hold the promise to facilitate the detection of cognitive impairment and decline. However, in order to be successful at scale, cognitive tests need to be applicable in unsupervised settings and confounding factors need to be understood. This study explored the feasibility of completely unsupervised digital cognitive assessments using three novel memory tasks in a Citizen Science project across Germany. To that end, the study aimed to identify factors associated with stronger participant retention, to examine test-retest reliability and the extent of practice effects, as well as to investigate the influence of uncontrolled settings such as time of day, delay between sessions or screen size on memory performance. A total of 1,407 adults (aged 18–89) participated in the study for up to 12 weeks, completing weekly memory tasks in addition to short questionnaires regarding sleep duration, subjective cognitive complaints as well as cold symptoms. Participation across memory tasks was pseudorandomized such that individuals were assigned to one of three memory paradigms resulting in three otherwise identical sub-studies. One hundred thirty-eight participants contributed to two of the three paradigms. Critically, for each memory task 12 independent parallel test sets were used to minimize effects of repeated testing. First, we observed a mean participant retention time of 44 days, or 4 active test sessions, and 77.5% compliance to the study protocol in an unsupervised setting with no contact between participants and study personnel, payment or feedback. We identified subject-level factors that contributed to higher retention times. Second, we found minor practice effects associated with repeated cognitive testing, and reveal evidence for acceptable-to-good retest reliability of mobile testing. Third, we show that memory performance assessed through repeated digital assessments was strongly associated with age in all paradigms, and individuals with subjectively reported cognitive decline presented lower mnemonic discrimination accuracy compared to non-complaining participants. Finally, we identified design-related factors that need to be incorporated in future studies such as the time delay between test sessions. Our results demonstrate the feasibility of fully unsupervised digital remote memory assessments and identify critical factors to account for in future studies.
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Affiliation(s)
- David Berron
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
- neotiv GmbH, Magdeburg, Germany
- *Correspondence: David Berron
| | - Gabriel Ziegler
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
- neotiv GmbH, Magdeburg, Germany
- Institute of Cognitive Neurology and Dementia Research (IKND), Otto-Von-Guericke University, Magdeburg, Germany
| | - Paula Vieweg
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - Ornella Billette
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
- neotiv GmbH, Magdeburg, Germany
- Institute of Cognitive Neurology and Dementia Research (IKND), Otto-Von-Guericke University, Magdeburg, Germany
| | - Jeremie Güsten
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
- Institute of Cognitive Neurology and Dementia Research (IKND), Otto-Von-Guericke University, Magdeburg, Germany
| | - Xenia Grande
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
- Institute of Cognitive Neurology and Dementia Research (IKND), Otto-Von-Guericke University, Magdeburg, Germany
| | - Michael T. Heneka
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Department of Neurodegeneration and Geriatric Psychiatry, University of Bonn, Bonn, Germany
| | - Anja Schneider
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Department of Neurodegeneration and Geriatric Psychiatry, University of Bonn, Bonn, Germany
| | - Stefan Teipel
- Department of Psychosomatic Medicine, Rostock University Medical Center, Rostock, Germany
- German Center for Neurodegenerative Diseases, Rostock, Germany
| | - Frank Jessen
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Department of Psychiatry, University Hospital Cologne, Cologne, Germany
| | - Michael Wagner
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Department of Neurodegeneration and Geriatric Psychiatry, University of Bonn, Bonn, Germany
| | - Emrah Düzel
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
- neotiv GmbH, Magdeburg, Germany
- Institute of Cognitive Neurology and Dementia Research (IKND), Otto-Von-Guericke University, Magdeburg, Germany
- Institute of Cognitive Neuroscience, University College London, London, United Kingdom
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26
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Attaallah B, Petitet P, Slavkova E, Turner V, Saleh Y, Manohar SG, Husain M. Hyperreactivity to uncertainty is a key feature of subjective cognitive impairment. eLife 2022; 11:75834. [PMID: 35536752 PMCID: PMC9197396 DOI: 10.7554/elife.75834] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Accepted: 05/09/2022] [Indexed: 11/26/2022] Open
Abstract
With an increasingly ageing global population, more people are presenting with concerns about their cognitive function, but not all have an underlying neurodegenerative diagnosis. Subjective cognitive impairment (SCI) is a common condition describing self-reported deficits in cognition without objective evidence of cognitive impairment. Many individuals with SCI suffer from depression and anxiety, which have been hypothesised to account for their cognitive complaints. Despite this association between SCI and affective features, the cognitive and brain mechanisms underlying SCI are poorly understood. Here, we show that people with SCI are hyperreactive to uncertainty and that this might be a key mechanism accounting for their affective burden. Twenty-seven individuals with SCI performed an information sampling task, where they could actively gather information prior to decisions. Across different conditions, SCI participants sampled faster and obtained more information than matched controls to resolve uncertainty. Remarkably, despite their ‘urgent’ sampling behaviour, SCI participants were able to maintain their efficiency. Hyperreactivity to uncertainty indexed by this sampling behaviour correlated with the severity of affective burden including depression and anxiety. Analysis of MRI resting functional connectivity revealed that SCI participants had stronger insular-hippocampal connectivity compared to controls, which also correlated with faster sampling. These results suggest that altered uncertainty processing is a key mechanism underlying the psycho-cognitive manifestations in SCI and implicate a specific brain network target for future treatment.
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Affiliation(s)
- Bahaaeddin Attaallah
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Pierre Petitet
- Department of Experimental Psychology, University of Oxford, Oxford, United Kingdom
| | - Elista Slavkova
- Department of Experimental Psychology, University of Oxford, Oxford, United Kingdom
| | - Vicky Turner
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Youssuf Saleh
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Sanjay G Manohar
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Masud Husain
- Department of Experimental Psychology, University of Oxford, Oxford, United Kingdom
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27
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Sheng C, Yang K, He B, Li T, Wang X, Du W, Hu X, Jiang J, Jiang X, Jessen F, Han Y. Cross-Cultural Longitudinal Study on Cognitive Decline (CLoCODE) for Subjective Cognitive Decline in China and Germany: A Protocol for Study Design. J Alzheimers Dis 2022; 87:1319-1333. [PMID: 35431240 DOI: 10.3233/jad-215452] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Background: Subjective cognitive decline (SCD) is considered as the first symptomatic manifestation of Alzheimer’s disease (AD), which is also affected by different cultural backgrounds. Establishing cross-cultural prediction models of SCD is challenging. Objective: To establish prediction models of SCD available for both the Chinese and European populations. Methods: In this project, 330 SCD from China and 380 SCD from Germany are intended to be recruited. For all participants, standardized assessments, including clinical, neuropsychological, apolipoprotein E (APOE) genotype, blood, and multi-parameter magnetic resonance imaging (MRI) at baseline will be conducted. Participants will voluntarily undergo amyloid positron emission tomography (PET) and are classified into amyloid-β (Aβ) positive SCD (SCD+) and Aβ negative SCD (SCD-). First, baseline data of all SCD individuals between the two cohorts will be compared. Then, key features associated with brain amyloidosis will be extracted in SCD+ individuals, and the diagnosis model will be established using the radiomics method. Finally, the follow-up visits will be conducted every 12 months and the primary outcome is the conversion to mild cognitive impairment or dementia. After a 4-year follow-up, we will extract factors associated with the conversion risk of SCD using Cox regression analysis. Results: At present, 141 SCD from China and 338 SCD from Germany have been recruited. Initial analysis showed significant differences in demographic information, neuropsychological tests, and regional brain atrophy in SCD compared with controls in both cohorts. Conclusion: This project may be of great value for future implications of SCD studies in different cultural backgrounds. Trial registration: ClinicalTrials.gov, NCT04696315. Registered 3 January 2021.
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Affiliation(s)
- Can Sheng
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Kun Yang
- Evidence-Based Medicine Center, Xuanwu Hospital of Capital Medical University, Beijing, China
- Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, China
| | - Beiqi He
- Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou, China
| | - Taoran Li
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Xiaoqi Wang
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Wenying Du
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Xiaochen Hu
- Department of Psychiatry and Psychotherapy, Medical Faculty, University of Cologne, Cologne, Germany
| | - Jiehui Jiang
- Institute of Biomedical Engineering, School of Information and Communication Engineering, Shanghai University, Shanghai, China
| | - Xueyan Jiang
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
- Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou, China
- German Center for Neurodegenerative Disease, Clinical Research Group, Bonn, Germany
| | - Frank Jessen
- Department of Psychiatry and Psychotherapy, 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
| | - Ying Han
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
- Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou, China
- Center of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing, China
- National Clinical Research Center for Geriatric Disorders, Beijing, China
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28
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Düzel E, Ziegler G, Berron D, Maass A, Schütze H, Cardenas-Blanco A, Glanz W, Metzger C, Dobisch L, Reuter M, Spottke A, Brosseron F, Fliessbach K, Heneka MT, Laske C, Peters O, Priller J, Spruth EJ, Ramirez A, Speck O, Schneider A, Teipel S, Kilimann I, Jens W, Schott BH, Preis L, Gref D, Maier F, Munk MH, Roy N, Ballarini T, Yakupov R, Haynes JD, Dechent P, Scheffler K, Wagner M, Jessen F. Amyloid pathology but not APOE ε4 status is permissive for tau-related hippocampal dysfunction. Brain 2022; 145:1473-1485. [PMID: 35352105 PMCID: PMC9128811 DOI: 10.1093/brain/awab405] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2021] [Revised: 09/16/2021] [Accepted: 09/27/2021] [Indexed: 02/06/2023] Open
Abstract
We investigated whether the impact of tau-pathology on memory performance and on hippocampal/medial temporal memory function in non-demented individuals depends on the presence of amyloid pathology, irrespective of diagnostic clinical stage. We conducted a cross-sectional analysis of the observational, multicentric DZNE-Longitudinal Cognitive Impairment and Dementia Study (DELCODE). Two hundred and thirty-five participants completed task functional MRI and provided CSF (92 cognitively unimpaired, 100 experiencing subjective cognitive decline and 43 with mild cognitive impairment). Presence (A+) and absence (A−) of amyloid pathology was defined by CSF amyloid-β42 (Aβ42) levels. Free recall performance in the Free and Cued Selective Reminding Test, scene recognition memory accuracy and hippocampal/medial temporal functional MRI novelty responses to scene images were related to CSF total-tau and phospho-tau levels separately for A+ and A− individuals. We found that total-tau and phospho-tau levels were negatively associated with memory performance in both tasks and with novelty responses in the hippocampus and amygdala, in interaction with Aβ42 levels. Subgroup analyses showed that these relationships were only present in A+ and remained stable when very high levels of tau (>700 pg/ml) and phospho-tau (>100 pg/ml) were excluded. These relationships were significant with diagnosis, age, education, sex, assessment site and Aβ42 levels as covariates. They also remained significant after propensity score based matching of phospho-tau levels across A+ and A− groups. After classifying this matched sample for phospho-tau pathology (T−/T+), individuals with A+/T+ were significantly more memory-impaired than A−/T+ despite the fact that both groups had the same amount of phospho-tau pathology. ApoE status (presence of the E4 allele), a known genetic risk factor for Alzheimer’s disease, did not mediate the relationship between tau pathology and hippocampal function and memory performance. Thus, our data show that the presence of amyloid pathology is associated with a linear relationship between tau pathology, hippocampal dysfunction and memory impairment, although the actual severity of amyloid pathology is uncorrelated. Our data therefore indicate that the presence of amyloid pathology provides a permissive state for tau-related hippocampal dysfunction and hippocampus-dependent recognition and recall impairment. This raises the possibility that in the predementia stage of Alzheimer’s disease, removing the negative impact of amyloid pathology could improve memory and hippocampal function even if the amount of tau-pathology in CSF is not changed, whereas reducing increased CSF tau-pathology in amyloid-negative individuals may not proportionally improve memory function.
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Affiliation(s)
- Emrah Düzel
- Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke University Magdeburg, 39120 Magdeburg, Germany.,German Center for Neurodegenerative Diseases (DZNE), Magdeburg, 39120 Magdeburg, Germany.,Institute of Cognitive Neuroscience, University College London, London, UK
| | - Gabriel Ziegler
- Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke University Magdeburg, 39120 Magdeburg, Germany.,German Center for Neurodegenerative Diseases (DZNE), Magdeburg, 39120 Magdeburg, Germany
| | - David Berron
- Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke University Magdeburg, 39120 Magdeburg, Germany.,German Center for Neurodegenerative Diseases (DZNE), Magdeburg, 39120 Magdeburg, Germany
| | - Anne Maass
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, 39120 Magdeburg, Germany
| | - Hartmut Schütze
- Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke University Magdeburg, 39120 Magdeburg, Germany.,German Center for Neurodegenerative Diseases (DZNE), Magdeburg, 39120 Magdeburg, Germany
| | - Arturo Cardenas-Blanco
- Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke University Magdeburg, 39120 Magdeburg, Germany.,German Center for Neurodegenerative Diseases (DZNE), Magdeburg, 39120 Magdeburg, Germany
| | - Wenzel Glanz
- Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke University Magdeburg, 39120 Magdeburg, Germany.,German Center for Neurodegenerative Diseases (DZNE), Magdeburg, 39120 Magdeburg, Germany.,Clinic for Neurology, Medical Faculty, University Hospital Magdeburg, 39120 Magdeburg, Germany
| | - Coraline Metzger
- Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke University Magdeburg, 39120 Magdeburg, Germany.,German Center for Neurodegenerative Diseases (DZNE), Magdeburg, 39120 Magdeburg, Germany.,Department of Psychiatry and Psychotherapy, Medical Faculty, University Hospital Magdeburg, 39120 Magdeburg, Germany
| | - Laura Dobisch
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, 39120 Magdeburg, Germany
| | - Martin Reuter
- German Center for Neurodegenerative Diseases (DZNE), Bonn, 53127 Bonn, Germany
| | - Annika Spottke
- German Center for Neurodegenerative Diseases (DZNE), Bonn, 53127 Bonn, Germany.,Department of Neurology, University of Bonn, 53127 Bonn, Germany
| | - Frederic Brosseron
- German Center for Neurodegenerative Diseases (DZNE), Bonn, 53127 Bonn, Germany.,Department of Neurodegeneration and Geriatric Psychiatry, University Hospital Bonn, 53127 Bonn, Germany
| | - Klaus Fliessbach
- German Center for Neurodegenerative Diseases (DZNE), Bonn, 53127 Bonn, Germany.,Department of Neurodegeneration and Geriatric Psychiatry, University Hospital Bonn, 53127 Bonn, Germany
| | - Michael T Heneka
- German Center for Neurodegenerative Diseases (DZNE), Bonn, 53127 Bonn, Germany.,Department of Neurodegeneration and Geriatric Psychiatry, University Hospital Bonn, 53127 Bonn, Germany
| | - Christoph Laske
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, 72076 Tübingen, Germany.,Section for Dementia Research, Hertie Institute for Clinical Brain Research and Department of Psychiatry and Psychotherapy, University of Tübingen, 72076 Tübingen, Germany
| | - Oliver Peters
- German Center for Neurodegenerative Diseases (DZNE), Berlin, 10117 Berlin, Germany.,Clinic for Psychiatry and Psychotherapy, Charité, Campus Benjamin Franklin, 12203 Berlin, Germany
| | - Josef Priller
- German Center for Neurodegenerative Diseases (DZNE), Berlin, 10117 Berlin, Germany.,Department of Psychiatry and Psychotherapy, School of Medicine, Technical University of Munich, Munich, Germany
| | - Eike Jakob Spruth
- Department of Psychiatry and Psychotherapy, School of Medicine, Technical University of Munich, Munich, Germany
| | - Alfredo Ramirez
- Department of Psychiatry, Medical Faculty, University of Cologne, 50924 Cologne, Germany
| | - Oliver Speck
- Department of Biomedical Magnetic Resonance, Otto-von-Guericke University, 39120 Magdeburg, Germany
| | - Anja Schneider
- German Center for Neurodegenerative Diseases (DZNE), Bonn, 53127 Bonn, Germany.,Department of Neurodegeneration and Geriatric Psychiatry, University Hospital Bonn, 53127 Bonn, Germany
| | - Stefan Teipel
- German Center for Neurodegenerative Diseases (DZNE), Rostock, 18147 Rostock, Germany.,Department of Psychosomatic Medicine, Rostock University Medical Center, 18147 Rostock, Germany
| | - Ingo Kilimann
- German Center for Neurodegenerative Diseases (DZNE), Rostock, 18147 Rostock, Germany.,Department of Psychosomatic Medicine, Rostock University Medical Center, 18147 Rostock, Germany
| | - Wiltfang Jens
- German Center for Neurodegenerative Diseases (DZNE), Goettingen, 37075 Goettingen, Germany.,Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, University of Goettingen, 37075 Goettingen, Germany
| | - Björn-Hendrik Schott
- German Center for Neurodegenerative Diseases (DZNE), Goettingen, 37075 Goettingen, Germany.,Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, University of Goettingen, 37075 Goettingen, Germany
| | - Lukas Preis
- German Center for Neurodegenerative Diseases (DZNE), Berlin, 10117 Berlin, Germany.,Clinic for Psychiatry and Psychotherapy, Charité, Campus Benjamin Franklin, 12203 Berlin, Germany
| | - Daria Gref
- German Center for Neurodegenerative Diseases (DZNE), Berlin, 10117 Berlin, Germany.,Clinic for Psychiatry and Psychotherapy, Charité, Campus Benjamin Franklin, 12203 Berlin, Germany
| | - Franziska Maier
- Department of Psychiatry, Medical Faculty, University of Cologne, 50924 Cologne, Germany
| | - Matthias H Munk
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, 72076 Tübingen, Germany.,Section for Dementia Research, Hertie Institute for Clinical Brain Research and Department of Psychiatry and Psychotherapy, University of Tübingen, 72076 Tübingen, Germany
| | - Nina Roy
- German Center for Neurodegenerative Diseases (DZNE), Bonn, 53127 Bonn, Germany.,Department of Neurology, University of Bonn, 53127 Bonn, Germany
| | - Tomasso Ballarini
- German Center for Neurodegenerative Diseases (DZNE), Bonn, 53127 Bonn, Germany.,Department of Neurodegeneration and Geriatric Psychiatry, University Hospital Bonn, 53127 Bonn, Germany
| | - Renat Yakupov
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, 39120 Magdeburg, Germany
| | - John Dylan Haynes
- Bernstein Center for Computational Neuroscience Berlin, Berlin, Germany
| | - Peter Dechent
- Department of Cognitive Neurology, University Medical Center Goettingen, University of Goettingen, Goettingen, Germany
| | - Klaus Scheffler
- Department of Biomedical Magnetic Resonance, University of Tübingen, Tübingen, Germany
| | - Michael Wagner
- German Center for Neurodegenerative Diseases (DZNE), Bonn, 53127 Bonn, Germany.,Department of Neurodegeneration and Geriatric Psychiatry, University Hospital Bonn, 53127 Bonn, Germany
| | - Frank Jessen
- German Center for Neurodegenerative Diseases (DZNE), Bonn, 53127 Bonn, Germany.,Department of Psychiatry, Medical Faculty, University of Cologne, 50924 Cologne, Germany
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Li TR, Yang Q, Hu X, Han Y. Biomarkers and Tools for Predicting Alzheimer's Disease in the Preclinical Stage. Curr Neuropharmacol 2022; 20:713-737. [PMID: 34030620 PMCID: PMC9878962 DOI: 10.2174/1570159x19666210524153901] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2021] [Revised: 04/27/2021] [Accepted: 05/08/2021] [Indexed: 11/22/2022] Open
Abstract
Alzheimer's disease (AD) is the only leading cause of death for which no disease-modifying therapy is currently available. Over the past decade, a string of disappointing clinical trial results has forced us to shift our focus to the preclinical stage of AD, which represents the most promising therapeutic window. However, the accurate diagnosis of preclinical AD requires the presence of brain β- amyloid deposition determined by cerebrospinal fluid or amyloid-positron emission tomography, significantly limiting routine screening and diagnosis in non-tertiary hospital settings. Thus, an easily accessible marker or tool with high sensitivity and specificity is highly needed. Recently, it has been discovered that individuals in the late stage of preclinical AD may not be truly "asymptomatic" in that they may have already developed subtle or subjective cognitive decline. In addition, advances in bloodderived biomarker studies have also allowed the detection of pathologic changes in preclinical AD. Exosomes, as cell-to-cell communication messengers, can reflect the functional changes of their source cell. Methodological advances have made it possible to extract brain-derived exosomes from peripheral blood, making exosomes an emerging biomarker carrier and liquid biopsy tool for preclinical AD. The eye and its associated structures have rich sensory-motor innervation. In this regard, studies have indicated that they may also provide reliable markers. Here, our report covers the current state of knowledge of neuropsychological and eye tests as screening tools for preclinical AD and assesses the value of blood and brain-derived exosomes as carriers of biomarkers in conjunction with the current diagnostic paradigm.
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Affiliation(s)
- Tao-Ran Li
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, 100053, China
| | - Qin Yang
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, 100053, China
| | - Xiaochen Hu
- Department of Psychiatry, University of Cologne, Medical Faculty, Cologne, 50924, Germany
| | - Ying Han
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, 100053, China;,Center of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing, 100053, China;,National Clinical Research Center for Geriatric Disorders, Beijing, 100053, China;,School of Biomedical Engineering, Hainan University, Haikou, 570228, China;,Address correspondence to this author at the Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, 100053, China; Tel: +86 13621011941; E-mail:
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30
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Wolfsgruber S, Kleineidam L, Weyrauch AS, Barkhoff M, Röske S, Peters O, Preis L, Gref D, Spruth EJ, Altenstein S, Priller J, Fließbach K, Schneider A, Wiltfang J, Bartels C, Jessen F, Maier F, Düzel E, Metzger C, Glanz W, Buerger K, Janowitz D, Perneczky R, Rauchmann BS, Kilimann I, Teipel S, Laske C, Munk MH, Roy N, Spottke A, Ramirez A, Heneka MT, Brosseron F, Wagneron M. Relevance of Subjective Cognitive Decline in Older Adults with a First-Degree Family History of Alzheimer's Disease. J Alzheimers Dis 2022; 87:545-555. [PMID: 35275535 DOI: 10.3233/jad-215416] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND It is unclear whether subjective cognitive decline (SCD) is a relevant clinical marker of incipient Alzheimer's disease (AD) and future cognitive deterioration in individuals with a family history of AD (FHAD). OBJECTIVE To investigate the association of SCD with cross-sectional cerebrospinal fluid (CSF) AD biomarker levels and cognitive decline in cognitively normal older adults with or without a first-degree FHAD. METHODS We analyzed data from cognitively normal individuals with first-degree FHAD (n = 82 "AD relatives"; mean age: 65.7 years (SD = 4.47); 59% female) and a similar group of n = 236 healthy controls without FHAD from the DELCODE study. We measured SCD with an in-depth structured interview from which we derived a SCD score, capturing features proposed to increase likelihood of underlying AD ("SCD-plus score"). We tested whether higher SCD-plus scores were associated with more pathological CSF AD biomarker levels and cognitive decline over time and whether this association varied by group. RESULTS AD relatives showed higher SCD-plus scores than healthy controls and more cognitive decline over time. Higher SCD-plus scores also related stronger to cognitive change and abnormal CSF AD biomarker levels in the AD relatives as compared to the healthy controls group. CONCLUSION Quantification of specific SCD features can provide further information on the likelihood of early AD pathology and cognitive decline among AD relatives. FHAD and SCD appear as synergistically acting enrichment strategies in AD research, the first one as a permanent indicator of genetic risk, the latter one as a correlate of disease progression.
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Affiliation(s)
- Steffen Wolfsgruber
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,University of Bonn Medical Center, Department of Neurodegenerative Disease and Geriatric Psychiatry/Psychiatry, Bonn, Germany
| | - Luca Kleineidam
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,University of Bonn Medical Center, Department of Neurodegenerative Disease and Geriatric Psychiatry/Psychiatry, Bonn, Germany
| | - Anne-Sophie Weyrauch
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,University of Bonn Medical Center, Department of Neurodegenerative Disease and Geriatric Psychiatry/Psychiatry, Bonn, Germany
| | - Miriam Barkhoff
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Sandra Röske
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Oliver Peters
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany.,Charité-Universitätsmedizin Berlin, Campus Benjamin Franklin, Department of Psychiatry, Berlin, Germany
| | - Lukas Preis
- Charité-Universitätsmedizin Berlin, Campus Benjamin Franklin, Department of Psychiatry, Berlin, Germany
| | - Daria Gref
- Charité-Universitätsmedizin Berlin, Campus Benjamin Franklin, Department of Psychiatry, Berlin, Germany
| | - Eike Jakob 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
| | - Josef Priller
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany.,Department of Psychiatry and Psychotherapy, Charité, Berlin, Germany.,Department of Psychiatry and Psychotherapy, Klinikum Rechts der Isar, Technical University Munich, Germany
| | - Klaus Fließbach
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,University of Bonn Medical Center, Department of Neurodegenerative Disease and Geriatric Psychiatry/Psychiatry, Bonn, Germany
| | - Anja Schneider
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,University of Bonn Medical Center, Department of Neurodegenerative Disease and Geriatric Psychiatry/Psychiatry, Bonn, Germany
| | - Jens Wiltfang
- German Center for Neurodegenerative Diseases (DZNE), Goettingen, Germany.,Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, University of Goettingen, Germany.,Neurosciences and Signaling Group, Institute of Biomedicine (iBiMED), Department of Medical Sciences, University of Aveiro, Aveiro, Portugal
| | - Claudia Bartels
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, University of Goettingen, Germany
| | - Frank Jessen
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department of Psychiatry, Medical Faculty University of Cologne, Germany.,Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Germany
| | - Franziska Maier
- Department of Psychiatry, Medical Faculty University of Cologne, Germany
| | - Emrah Düzel
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany.,Institute of Cognitive Neurology and Dementia Research (IKND), Otto-von-Guericke University, Magdeburg, Germany
| | - Coraline 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
| | - Wenzel Glanz
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - Katharina Buerger
- German Center for Neurodegenerative Diseases (DZNE) Munich, Germany.,Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany
| | - Daniel Janowitz
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany
| | - Robert Perneczky
- German Center for Neurodegenerative Diseases (DZNE) Munich, Germany.,Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.,Ageing Epidemiology Research Unit (AGE), School of Public Health, Imperial College London, London, UK
| | - Boris-Stephan Rauchmann
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Ingo Kilimann
- German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany.,Department of Psychosomatic Medicine, Rostock University Medical Center, Rostock, Germany
| | - Stefan Teipel
- German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany.,Department of Psychosomatic Medicine, Rostock University Medical Center, Rostock, 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, Germany
| | - Matthias H Munk
- 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, Germany
| | - Nina Roy
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Annika Spottke
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,University of Bonn Medical Center, Department of Neurology, Bonn, Germany
| | - Alfredo Ramirez
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,University of Bonn Medical Center, Department of Neurodegenerative Disease and Geriatric Psychiatry/Psychiatry, Bonn, Germany.,Division of Neurogenetics and Molecular Psychiatry, Department of Psychiatry, Medical Faculty University of Cologne, Germany
| | - Michael T Heneka
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,University of Bonn Medical Center, Department of Neurodegenerative Disease and Geriatric Psychiatry/Psychiatry, Bonn, Germany
| | - Frederic Brosseron
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,University of Bonn Medical Center, Department of Neurodegenerative Disease and Geriatric Psychiatry/Psychiatry, Bonn, Germany
| | - Michael Wagneron
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,University of Bonn Medical Center, Department of Neurodegenerative Disease and Geriatric Psychiatry/Psychiatry, Bonn, Germany
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31
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Chao YP, Liu PTB, Wang PN, Cheng CH. Reduced Inter-Voxel Whiter Matter Integrity in Subjective Cognitive Decline: Diffusion Tensor Imaging With Tract-Based Spatial Statistics Analysis. Front Aging Neurosci 2022; 14:810998. [PMID: 35309886 PMCID: PMC8924936 DOI: 10.3389/fnagi.2022.810998] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Accepted: 01/24/2022] [Indexed: 11/24/2022] Open
Abstract
Subjective cognitive decline (SCD), a self-reported worsening in cognition concurrent with normal performance on standardized neuropsychological tests, has gained much attention due to its high risks in the development of mild cognitive impairments or Alzheimer’s disease. The existing cross-sectional diffusion tensor imaging (DTI) studies in SCD have shown extremely controversial findings. Furthermore, all of these studies investigated diffusion properties within the voxel, such as fractional anisotropy, mean diffusivity, or axial diffusivity (DA). However, it remains unclear whether individuals with SCD demonstrate alterations of diffusion profile between voxels and their neighbors, as indexed by local diffusion homogeneity (LDH). We selected 30 healthy controls (HCs) and 23 SCD subjects to acquire their whole-brain DTI. Diffusion images were compared using the tract-based spatial statistics method. Diffusion indices with significant between-group tract clusters were extracted from each individual for further region-of-interest (ROI)-based comparisons. Our results showed that subjects with SCD demonstrated reduced LDH in the left superior frontal gyrus (SFG) and DA in the right anterior cingulate cortex compared with the HC group. In contrast, the SCD group showed higher LDH values in the left lingual gyrus (LG) compared with the HC group. Notably, LDH in the left SFG was significantly and negatively correlated with LDH in the left LG. In conclusion, white matter (WM) integrity in the left SFG, right ACC, and left LG is altered in SCD, suggesting that individuals with SCD exhibit detectable changes in WM tracts before they demonstrate objective cognitive deficits.
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Affiliation(s)
- Yi-Ping Chao
- Department of Computer Science and Information Engineering, Chang Gung University, Taoyuan City, Taiwan
- Department of Neurology, Chang Gung Memorial Hospital, Taoyuan City, Taiwan
| | - Po-Ting Bertram Liu
- Department of Occupational Therapy and Graduate Institute of Behavioral Sciences, Chang Gung University, Taoyuan City, Taiwan
- Laboratory of Brain Imaging and Neural Dynamics (BIND Lab), Chang Gung University, Taoyuan City, Taiwan
| | - Pei-Ning Wang
- Division of General Neurology, Department of Neurological Institute, Taipei Veterans General Hospital, Taipei City, Taiwan
- Department of Neurology, National Yang Ming Chiao Tung University, Taipei City, Taiwan
| | - Chia-Hsiung Cheng
- Department of Occupational Therapy and Graduate Institute of Behavioral Sciences, Chang Gung University, Taoyuan City, Taiwan
- Laboratory of Brain Imaging and Neural Dynamics (BIND Lab), Chang Gung University, Taoyuan City, Taiwan
- Healthy Aging Research Center, Chang Gung University, Taoyuan City, Taiwan
- Department of Psychiatry, Chang Gung Memorial Hospital, Taoyuan City, Taiwan
- *Correspondence: Chia-Hsiung Cheng, ;
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32
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Montembeault M, Stijelja S, Brambati SM. Self-reported word-finding complaints are associated with cerebrospinal fluid amyloid beta and atrophy in cognitively normal older adults. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2022; 14:e12274. [PMID: 35155731 PMCID: PMC8828990 DOI: 10.1002/dad2.12274] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Revised: 11/17/2021] [Accepted: 11/19/2021] [Indexed: 01/18/2023]
Abstract
INTRODUCTION Self-reported word-finding difficulties are among the most frequent complaints in cognitively normal (CN) older adults. However, the clinical significance is still debated. METHODS We selected 239 CN from the Alzheimer's Disease Neuroimaging Initiative database who had completed the Everyday Cognition (ECog) questionnaire, as well as a lumbar puncture for amyloid beta (Aβ) and magnetic resonance imaging. RESULTS Word-finding complaints, with a few other memory items, were significantly more severe compared to all other cognitive complaints. Ecog-Lang1 (Forgetting names of objects) severity significantly predicted Aβ levels in CN, even when controlling for general cognitive complaint, demographic, and psychological variables. Individuals with high Ecog-Lang1 complaints showed atrophy in the left fusiform gyrus and the left rolandic operculum compared to CN with low complaints. DISCUSSION Overall, our results support the fact that word-finding complaints should be taken seriously. They have the potential to identify CN at risk of AD and support the need to include other cognitive domains in the investigation of subjective cognitive decline.
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Affiliation(s)
- Maxime Montembeault
- Department of NeurologyUniversity of California San FranciscoMemory & Aging CenterSan FranciscoCaliforniaUSA
- Département de psychologieUniversité de Montréal, Pavillon Marie‐Victorinsuccursale Centre‐villeMontréalQuebecCanada
- Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal (CRIUGM)MontréalQuebecCanada
| | - Stefan Stijelja
- Département de psychologieUniversité de Montréal, Pavillon Marie‐Victorinsuccursale Centre‐villeMontréalQuebecCanada
| | - Simona M. Brambati
- Département de psychologieUniversité de Montréal, Pavillon Marie‐Victorinsuccursale Centre‐villeMontréalQuebecCanada
- Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal (CRIUGM)MontréalQuebecCanada
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33
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Munro CE, Buckley R, Vannini P, DeMuro C, Sperling R, Rentz DM, Johnson K, Gatchel JR, Amariglio R. Longitudinal Trajectories of Participant- and Study Partner-Rated Cognitive Decline, in Relation to Alzheimer's Disease Biomarkers and Mood Symptoms. Front Aging Neurosci 2022; 13:806432. [PMID: 35173601 PMCID: PMC8841868 DOI: 10.3389/fnagi.2021.806432] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2021] [Accepted: 12/29/2021] [Indexed: 11/13/2022] Open
Abstract
Whereas discrepancies between participant- and study partner-reported cognitive concerns on the Alzheimer's disease (AD) continuum have been observed, more needs to be known regarding the longitudinal trajectories of participant- vs. study partner-reported concerns, particularly their relationship to AD biomarkers and mood symptomology. Additionally, it is unclear whether years of in-clinic data collection are needed to observe relationships with AD biomarkers, or whether more frequent, remote assessments over shorter periods of time would suffice. This study primarily sought to examine the relationships between longitudinal trajectories of participant- and study partner-rated cognitive decline and baseline biomarker levels [i.e., amyloid and tau positron emission tomography (PET)], in addition to how mood symptomatology may alter these trajectories of concerns over a 2-year period. Baseline mood was associated with longitudinal participant-rated concerns, such that participants with elevated depression and anxiety scores at baseline had decreasing concerns about cognitive decline over time (fixed estimate = -0.17, 95% CI [-0.29 to -0.05], t = -2.75, df = 457, adj. p = 0.012). A significant interaction between baseline amyloid (fixed estimate = 4.07, 95% CI [1.13-7.01], t = 2.72, df = 353, adj. p = 0.026) and tau (fixed estimate = 3.50, 95% CI [0.95-6.06], t = 2.70, df = 331, adj. p = 0.030) levels was associated with increasing study partner concerns, but not participant concerns, over time. The interaction between amyloid and study partner concerns remained significant when utilizing only the first year of concern-related data collection. Overall, these results suggest that frequent, remote assessment of study partner-reported concerns may offer additional insight into the AD clinical spectrum, as study partners appear to more accurately update their concerns over time with regard to pathology, with these concerns less influenced by participants' mood symptomatology.
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Affiliation(s)
- Catherine E. Munro
- Center for Brain/Mind Medicine, Brigham and Women’s Hospital, Boston, MA, United States
| | - Rachel Buckley
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- Center for Alzheimer’s Research and Treatment, Department of Neurology, Brigham and Women’s Hospital, Boston, MA, United States
- Melbourne School of Psychological Sciences, Florey Institute, The University of Melbourne, Melbourne, VIC, Australia
| | - Patrizia Vannini
- Center for Brain/Mind Medicine, Brigham and Women’s Hospital, Boston, MA, United States
- Massachusetts General Hospital, Boston, MA, United States
| | - Carla DeMuro
- Department of Patient-Centered Outcomes Assessment, RTI Health Solutions, Research Triangle Park, NC, United States
| | - Reisa Sperling
- Center for Alzheimer’s Research and Treatment, Department of Neurology, Brigham and Women’s Hospital, Boston, MA, United States
- Massachusetts General Hospital, Boston, MA, United States
| | - Dorene M. Rentz
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- Center for Alzheimer’s Research and Treatment, Department of Neurology, Brigham and Women’s Hospital, Boston, MA, United States
| | - Keith Johnson
- Center for Alzheimer’s Research and Treatment, Department of Neurology, Brigham and Women’s Hospital, Boston, MA, United States
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Jennifer R. Gatchel
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- McLean Hospital, Belmont, MA, United States
| | - Rebecca Amariglio
- Center for Brain/Mind Medicine, Brigham and Women’s Hospital, Boston, MA, United States
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34
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Wang X, Bi Q, Lu J, Chan P, Hu X, Su L, Jessen F, Lin H, Han C, Shu N, Liu H, Han Y. Difference in Amyloid Load Between Single Memory Domain and Multidomain Subjective Cognitive Decline: A Study from the SILCODE. J Alzheimers Dis 2021; 85:1573-1582. [PMID: 34958039 DOI: 10.3233/jad-215373] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background: Subjective cognitive decline (SCD), an at-risk condition of Alzheimer’s disease (AD), can involve various cognitive domains, such as memory, language, planning, and attention. Objective: We aims to explore the differences in amyloid load between the single memory domain SCD (sd-SCD) and the multidomain SCD (md-SCD) and assess the relationship of amyloid pathology with quantitative SCD scores and objective cognition. Methods: A total of 63 SCD participants from the SILCODE study underwent the clinical evaluation, neuropsychological assessment, and 18F-florbetapir PET scan. Global amyloid standard uptake value ratio (SUVr) was calculated. Additionally, regional amyloid SUVr was quantified in 12 brain regions of interests. A nonparametric rank ANCOVA was used to compare the global and regional amyloid SUVr between the md-SCD (n = 34) and sd-SCD (n = 29) groups. A multiple linear regression analysis was conducted to test the relationship of amyloid SUVr with quantitative SCD scores and objective cognition. Results: Compared with individuals with sd-SCD, individuals with md-SCD had increased global amyloid SUVr (F = 5.033, p = 0.029) and regional amyloid SUVr in the left middle temporal gyrus (F = 12.309, p = 0.001; Bonferroni corrected), after controlling for the effects of age, sex, and education. When pooling all SCD participants together, the increased global amyloid SUVr was related with higher SCD-plus sum scores and lower Auditory Verbal Learning Test-delayed recall scores. Conclusion: According to our findings, individuals with md-SCD showed higher amyloid accumulation than individuals with sd-SCD, suggesting that md-SCD may experience a more advanced stage of SCD. Additionally, increased global amyloid load was predictive of a poorer episodic memory function in SCD individuals.
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Affiliation(s)
- Xiaoqi Wang
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Qiuhui Bi
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Jie Lu
- Department of Radiology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Piu Chan
- 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
| | - Li Su
- Department of Psychiatry, University of Cambridge, United Kingdom
- Sino-Britain Centre for Cognition and Ageing Research, Southwest University, Chongqing, China
| | - Frank Jessen
- Department of Psychiatry and Psychotherapy, University of Cologne, Medical Faculty, Cologne, Germany
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Germany
| | - Hua Lin
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | | | - Ni Shu
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Hesheng Liu
- Athinlula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA
| | - 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
- School of Biomedical Engineering, Hainan University, Haikou, China
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35
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Wen C, Bi YL, Hu H, Huang SY, Ma YH, Hu HY, Tan L, Yu JT. Association of Subjective Cognitive Decline with Cerebrospinal Fluid Biomarkers of Alzheimer’s Disease Pathology in Cognitively Intact Older Adults: The CABLE Study. J Alzheimers Dis 2021; 85:1143-1151. [PMID: 34924386 DOI: 10.3233/jad-215178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background: Subjective cognitive decline (SCD) might occur at the early stages of dementia. Individuals with SCD have an increased risk of subsequent objective cognitive decline and greater rates of progression to dementia. Objective: We aimed to explore the associations between SCD and cerebrospinal fluid (CSF) biomarkers of Alzheimer’s disease (AD) pathology in cognitively normal individuals. Methods: A total of 1,099 cognitively normal elders with available data on CSF biomarkers of AD pathology (Aβ 42, P-tau, and T-tau) were included in our analysis. Linear regression was used to examine the associations of SCD status and SCD severity with CSF biomarkers. Additionally, a review was conducted to discuss the associations between SCD and CSF biomarkers of AD pathology. Results: After adjustments for covariates, SCD and SCD severity showed significant associations with CSF Aβ 42 (SCD: β= –0.0003, p = 0.0263; SCD severity: β= –0.0004, p = 0.0046), CSF T-tau/Aβ 42 ratio (SCD: β= 0.1080, p = 0.1080; SCD severity: β= 0.1129, p = 0.0009) and CSF P-tau/Aβ 42 ratio (SCD: β= 0.0167, p = 0.0103; SCD severity: β= 0.0193, p = 0.0006) rather than T-tau and P-tau compared with cognitively normal individuals. In the review, a total of 28 studies were finally included after reviewing 174 articles. CSF Aβ 42 was lower in SCD than cognitively normal (CN) individuals, but higher than those with objective cognitive decline. However, CSF tau pathology showed no difference between SCD and CN. Conclusion: The results indicated that pathophysiological changes in CSF Aβ pathology occurred in individuals with SCD, which provide new insights into early intervention of AD.
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Affiliation(s)
- Chen Wen
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Yan-Lin Bi
- Department of Anesthesiology, Qingdao Municipal Hospital, Qingdao University, China
| | - Hao Hu
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Shu-Yi Huang
- From Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Ya-Hui Ma
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - He-Ying Hu
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Lan Tan
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Jin-Tai Yu
- From Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
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36
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Li L, Cheng GR, Liu D, Hu FF, Gan XG, Zhang B, An L, Chen C, Zou MJ, Xu L, Ou YM, Chen YS, Li JQ, Wei Z, Wu Q, Chen XX, Guo MQ, Wu QM, Wang R, Zeng Y. The Hubei Memory and Aging Cohort Study: Study Design, Baseline Characteristics, and Prevalence of Cognitive Impairments. J Alzheimers Dis 2021; 85:561-571. [PMID: 34842190 DOI: 10.3233/jad-215129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Despite the improved access to health services in China, inadequate diagnosis and management of dementia are common issues, especially in rural regions. OBJECTIVE The Hubei Memory & Aging Cohort Study was designed as a prospective study in Central China to determine the prevalence, incidence, and risk factors for dementia and mild cognitive impairment (MCI) among urban and rural older adults. METHODS From 2018-2020, participants aged ≥65 years were screened, and data regarding their life behaviors, families, socio-economic status, physical and mental health, social and psychological factors, and cognition were collected. Diagnoses of MCI and dementia were made via consensus diagnosis using the Diagnostic and Statistical Manual of Mental Disorders fourth edition criteria. RESULTS Of 8,221 individuals who completed their baseline clinical evaluation, 4,449 (54.1%) were women and 3,164 (38.4%) were from remote rural areas (average age: 71.96 years; mean education period: 7.58 years). At baseline, 25.98%(95%confidence interval [CI]: 24.99-26.96) and 7.24%(95%CI: 6.68-7.80) of the participants were diagnosed with MCI and dementia, respectively. Prevalence showed a strong relationship with age. The substantial disparities between rural and urban regions in MCI and dementia prevalence and multiple dementia-related risk factors were revealed. Especially for dementia, the prevalence rate in rural areas was 2.65 times higher than that in urban regions. CONCLUSION Our results suggested that public health interventions are urgently needed to achieve equitable diagnosis and management for people living with dementia in the communities across urban and rural areas.
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Affiliation(s)
- Lin Li
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
| | - Gui-Rong Cheng
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
| | - Dan Liu
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
| | - Fei-Fei Hu
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
| | - Xu-Guang Gan
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
| | - Bo Zhang
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
| | - Lina An
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
| | - Cong Chen
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
| | - Ming-Jun Zou
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
| | - Lang Xu
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
| | - Yang-Ming Ou
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
| | - Yu-Shan Chen
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
| | - Jin-Quan Li
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
| | - Zhen Wei
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
| | - Qiong Wu
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
| | - Xing-Xing Chen
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
| | - Man-Qing Guo
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
| | - Qing-Ming Wu
- Tianyou Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Ru Wang
- China Resources and WISCO General Hospital, Wuhan University of Science and Technology, Wuhan, China
| | - Yan Zeng
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
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37
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Wang X, Wang M, Wang X, Zhou F, Jiang J, Liu H, Han Y. Subjective cognitive decline-related worries modulate the relationship between global amyloid load and gray matter volume in preclinical Alzheimer's disease. Brain Imaging Behav 2021; 16:1088-1097. [PMID: 34743296 DOI: 10.1007/s11682-021-00558-w] [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: 01/19/2021] [Accepted: 09/06/2021] [Indexed: 12/31/2022]
Abstract
Subjective cognitive decline (SCD)-related worries are indicative of an increased risk for developing Alzheimer's disease (AD) dementia. However, the influence of SCD-related worries on the relationship between amyloid and gray matter (GM) atrophy remains unknown. A total of 93 SCD participants underwent 18F-florbetapir PET and T1-weighted MRI scans. SCD individuals were classified into amyloid-positive or amyloid-negative groups based on global amyloid uptake. Three-step statistical analyses were performed: (1) partial correlation analysis was conducted to determine whether global amyloid relates to GM volume in amyloid-positive and amyloid-negative groups; (2) linear regression analysis was conducted to determine whether the interaction term (worries × global amyloid) predicts GM volume; and (3) post hoc subgroup linear regression analysis was conducted to determine the association between amyloid and GM volume in the subgroups with and without worries. Age, sex, education and total intracranial volume were adjusted in all models. We found a negative relationship between global amyloid load and GM volume in the right hemisphere (r = 0.441, p = 0.012) and right temporal cortex (r = 0.506, p = 0.003) in the amyloid-positive group. Moreover, in the amyloid-positive group, a significant worries × amyloid interaction effect on GM volume was found in the bilateral hemisphere (right: pinteraction=0.037; left: pinteraction=0.036), left temporal cortex (pinteraction=0.044) and bilateral frontal cortex (right: pinteraction=0.010; left: pinteraction=0.011). Subsequent post hoc analysis revealed a significant amyloid-GM association only in the subgroup with worries but not in the subgroup without worries. In preclinical AD cases, SCD-related worries may occur as a symptom in those cases where amyloid affects GM to a greater extent and may thus represent a high-risk population for future cognitive decline.
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Affiliation(s)
- Xiaoqi Wang
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Min Wang
- Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication, School of Information and Communication Engineering, Shanghai University, Shanghai, China
| | - Xiaoni Wang
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Feifan Zhou
- School of Biomedical Engineering, Hainan University, Haikou, China
| | - Jiehui Jiang
- Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication, School of Information and Communication Engineering, Shanghai University, Shanghai, China.
| | - Hesheng Liu
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA.,Beijing Institute for Brain Disorders, Capital Medical University, Beijing, China.,Department of Neuroscience, Medical University of South Carolina, Charleston, SC, USA
| | - Ying Han
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China. .,School of Biomedical Engineering, Hainan University, Haikou, China. .,National Clinical Research Center for Geriatric Disorders, Beijing, China. .,Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, China.
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38
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Pavisic IM, Lu K, Keuss SE, James SN, Lane CA, Parker TD, Keshavan A, Buchanan SM, Murray-Smith H, Cash DM, Coath W, Wong A, Fox NC, Crutch SJ, Richards M, Schott JM. Subjective cognitive complaints at age 70: associations with amyloid and mental health. J Neurol Neurosurg Psychiatry 2021; 92:1215-1221. [PMID: 34035132 PMCID: PMC8522456 DOI: 10.1136/jnnp-2020-325620] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Revised: 03/08/2021] [Accepted: 04/28/2021] [Indexed: 12/11/2022]
Abstract
OBJECTIVE To investigate subjective cognitive decline (SCD) in relation to β-amyloid pathology and to test for associations with anxiety, depression, objective cognition and family history of dementia in the Insight 46 study. METHODS Cognitively unimpaired ~70-year-old participants, all born in the same week in 1946 (n=460, 49% female, 18% amyloid-positive), underwent assessments including the SCD-Questionnaire (MyCog). MyCog scores were evaluated with respect to 18F-Florbetapir-PET amyloid status (positive/negative). Associations with anxiety, depression, objective cognition (measured by the Preclinical Alzheimer Cognitive Composite, PACC) and family history of dementia were also investigated. The informant's perspective on SCD was evaluated in relation to MyCog score. RESULTS Anxiety (mean (SD) trait anxiety score: 4.4 (3.9)) was associated with higher MyCog scores, especially in women. MyCog scores were higher in amyloid-positive compared with amyloid-negative individuals (adjusted means (95% CIs): 5.3 (4.4 to 6.1) vs 4.3 (3.9 to 4.7), p=0.044), after accounting for differences in anxiety. PACC (mean (SD) -0.05 (0.68)) and family history of dementia (prevalence: 23.9%) were not independently associated with MyCog scores. The informant's perception of SCD was generally in accordance with that of the participant. CONCLUSIONS This cross-sectional study demonstrates that symptoms of SCD are associated with both β-amyloid pathology, and more consistently, trait anxiety in a population-based cohort of older adults, at an age when those who are destined to develop dementia are still likely to be some years away from symptoms. This highlights the necessity of considering anxiety symptoms when assessing Alzheimer's disease pathology and SCD.
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Affiliation(s)
- Ivanna M Pavisic
- Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, UK
- UK Dementia Research Institute, University College London, London, UK
| | - Kirsty Lu
- Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, UK
| | - Sarah E Keuss
- Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, UK
| | - Sarah-Naomi James
- Medical Research Council Unit for Lifelong Health and Ageing, University College London, London, UK
| | - Christopher A Lane
- Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, UK
| | - Thomas D Parker
- Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, UK
| | - Ashvini Keshavan
- Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, UK
| | - Sarah M Buchanan
- Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, UK
| | - Heidi Murray-Smith
- Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, UK
| | - David M Cash
- Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, UK
- UK Dementia Research Institute, University College London, London, UK
| | - William Coath
- Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, UK
| | - Andrew Wong
- Medical Research Council Unit for Lifelong Health and Ageing, University College London, London, UK
| | - Nick C Fox
- Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, UK
- UK Dementia Research Institute, University College London, London, UK
| | - Sebastian J Crutch
- Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, UK
| | - Marcus Richards
- Medical Research Council Unit for Lifelong Health and Ageing, University College London, London, UK
| | - Jonathan M Schott
- Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, UK
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39
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Liu Y, Li Z, Jiang X, Du W, Wang X, Sheng C, Jiang J, Han Y. Differences in Functional Brain Networks Between Subjective Cognitive Decline with and without Worry Groups: A Graph Theory Study from SILCODE. J Alzheimers Dis 2021; 84:1279-1289. [PMID: 34657889 DOI: 10.3233/jad-215156] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Evidence suggests that subjective cognitive decline (SCD) individuals with worry have a higher risk of cognitive decline. However, how SCD-related worry influences the functional brain network is still unknown. OBJECTIVE In this study, we aimed to explore the differences in functional brain networks between SCD subjects with and without worry. METHODS A total of 228 participants were enrolled from the Sino Longitudinal Study on Cognitive Decline (SILCODE), including 39 normal control (NC) subjects, 117 SCD subjects with worry, and 72 SCD subjects without worry. All subjects completed neuropsychological assessments, APOE genotyping, and resting-state functional magnetic resonance imaging (rs-fMRI). Graph theory was applied for functional brain network analysis based on both the whole brain and default mode network (DMN). Parameters including the clustering coefficient, shortest path length, local efficiency, and global efficiency were calculated. Two-sample T-tests and chi-square tests were used to analyze differences between two groups. In addition, a false discovery rate-corrected post hoc test was applied. RESULTS Our analysis showed that compared to the SCD without worry group, SCD with worry group had significantly increased functional connectivity and shortest path length (p = 0.002) and a decreased clustering coefficient (p = 0.013), global efficiency (p = 0.001), and local efficiency (p < 0.001). The above results appeared in both the whole brain and DMN. CONCLUSION There were significant differences in functional brain networks between SCD individuals with and without worry. We speculated that worry might result in alterations of the functional brain network for SCD individuals and then result in a higher risk of cognitive decline.
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Affiliation(s)
- Yi Liu
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Zhuoyuan Li
- Institute of Biomedical Engineering, School of Communication and Information Engineering, Shanghai University, Shanghai, China
| | - Xueyan Jiang
- Biomedical Engineering Institute, Hainan University, Haikou, China.,German Center for Neurodegenerative Disease, Clinical Research Group, Bonn, Germany
| | - Wenying Du
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Xiaoqi Wang
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Can Sheng
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Jiehui Jiang
- Institute of Biomedical Engineering, School of Communication and Information Engineering, Shanghai University, Shanghai, China
| | - Ying Han
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China.,Biomedical Engineering Institute, Hainan University, Haikou, China.,Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, China.,National Clinical Research Center for Geriatric Disorders, Beijing, China
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40
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Compensatory and Lifestyle-Based Brain Health Program for Subjective Cognitive Decline: Self-Implementation versus Coaching. Brain Sci 2021; 11:brainsci11101306. [PMID: 34679371 PMCID: PMC8534077 DOI: 10.3390/brainsci11101306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2021] [Revised: 09/23/2021] [Accepted: 09/24/2021] [Indexed: 11/16/2022] Open
Abstract
Although recent studies have explored the potential of multidomain brain health programs, there is a dearth of literature on operationalizing this research to create a clinical treatment program specifically for subjective cognitive decline (SCD). Patients seen by geriatricians in primary care and by behavioral neurology services at our institution presenting with SCD were recruited via a patient-appropriate flyer. After all participants had a 1-h brain health consultation with a neuropsychologist and were provided with program materials, they were randomized to attend a 10-week intervention designed to support program implementation (N = 10) or the control group of implementing the program on their own (N = 11). The program included (1) a calendar-based executive and memory support system for compensatory training and (2) training in healthy lifestyle. There were no significant differences between groups for any outcomes. Participants across both groups showed significant improvements with moderate effect sizes in compensatory strategy use, anxiety symptoms, and daily functioning, which were sustained through 6-month follow-up. They also increased physical activity by the end of the intervention period but did not sustain this through 6-month follow-up. Our pilot study demonstrates preliminary feasibility of a cognitive compensatory and lifestyle-based brain health program. Additional research is recommended to further develop two potentially scalable implementation strategies—coaching and self-implementation after brief consultation.
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41
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Diaz MM, Custodio N, Montesinos R, Lira D, Herrera-Perez E, Pintado-Caipa M, Cuenca-Alfaro J, Gamboa C, Lanata S. Thyroid Dysfunction, Vitamin B12, and Folic Acid Deficiencies Are Not Associated With Cognitive Impairment in Older Adults in Lima, Peru. Front Public Health 2021; 9:676518. [PMID: 34552900 PMCID: PMC8450418 DOI: 10.3389/fpubh.2021.676518] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Accepted: 08/12/2021] [Indexed: 01/27/2023] Open
Abstract
Background: Reversible etiologies of cognitive impairment are common and treatable, yet the majority of mild cognitive impairment (MCI) and dementia research in Latin America has focused on irreversible, neurodegenerative etiologies. Objective: We sought to determine if thyroid dysfunction and vitamin B12 and folate deficiencies are associated with cognitive disorders among older adults with memory complaints in Lima, Peru. Methods: This was a retrospective review of patients who presented for cognitive evaluations to a multidisciplinary neurology clinic in Lima, Peru from January 2014 to February 2020. We included individuals aged ≥60 years, native Spanish-speakers, with at least a primary school educational level and a complete clinical assessment. Patients had either subjective cognitive decline (SCD), MCI, or dementia. One-way ANOVA and multiple logistic regression analyses were performed. Results: We included 720 patients (330 SCD, 154 MCI, and 236 dementia); the dementia group was significantly older [mean age SCD 69.7 ± 4.1, dementia 72.4 ± 3.7 (p = 0.000)] and had lower folate levels than SCD patients. The MCI group had higher free T3 levels compared with SCD patients. Those with lower TSH had greater dementia risk (OR = 2.91, 95%CI: 1.15-6.86) but not MCI risk in unadjusted models. B12 deficiency or borderline B12 deficiency was present in 34% of the dementia group, yet no clear correlation was seen between neuropsychological test results and B12 levels in our study. There was no association between MCI or dementia and thyroid hormone, B12 nor folate levels in adjusted models. Conclusion: Our findings do not support an association between metabolic and endocrine disorders and cognitive impairment in older Peruvians from Lima despite a high prevalence of B12 deficiency. Future work may determine if cognitive decline is associated with metabolic or endocrine changes in Latin America.
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Affiliation(s)
- Monica M. Diaz
- Department of Neurology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Facultad de Salud Pública y Administración, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Nilton Custodio
- Servicio de Neurología, Instituto Peruano de Neurociencias, Lima, Peru
- Unidad de Diagnóstico de Deterioro Cognitivo y Prevención de Demencia, Instituto Peruano de Neurociencias, Lima, Peru
- Unidad de Investigación, Instituto Peruano de Neurociencias, Lima, Peru
| | - Rosa Montesinos
- Unidad de Diagnóstico de Deterioro Cognitivo y Prevención de Demencia, Instituto Peruano de Neurociencias, Lima, Peru
- Unidad de Investigación, Instituto Peruano de Neurociencias, Lima, Peru
- Servicio de Rehabilitación, Instituto Peruano de Neurociencias, Lima, Peru
| | - David Lira
- Servicio de Neurología, Instituto Peruano de Neurociencias, Lima, Peru
- Unidad de Diagnóstico de Deterioro Cognitivo y Prevención de Demencia, Instituto Peruano de Neurociencias, Lima, Peru
- Unidad de Investigación, Instituto Peruano de Neurociencias, Lima, Peru
| | - Eder Herrera-Perez
- Unidad de Investigación, Instituto Peruano de Neurociencias, Lima, Peru
- Grupo de investigación Molident, Universidad San Ignacio de Loyola, Lima, Peru
| | - Maritza Pintado-Caipa
- Servicio de Neurología, Instituto Peruano de Neurociencias, Lima, Peru
- Unidad de Diagnóstico de Deterioro Cognitivo y Prevención de Demencia, Instituto Peruano de Neurociencias, Lima, Peru
- Unidad de Investigación, Instituto Peruano de Neurociencias, Lima, Peru
- Atlantic Fellow, Global Brain Health Institute, University of California, San Francisco, San Francisco, CA, United States
| | - Jose Cuenca-Alfaro
- Unidad de Diagnóstico de Deterioro Cognitivo y Prevención de Demencia, Instituto Peruano de Neurociencias, Lima, Peru
- Unidad de Investigación, Instituto Peruano de Neurociencias, Lima, Peru
- Servicio de Neuropsicología, Instituto Peruano de Neurociencias, Lima, Peru
- Carrera de Psicología, Facultad de Ciencias de la Salud, Universidad Privada del Norte, Lima, Peru
| | - Carlos Gamboa
- Unidad de Diagnóstico de Deterioro Cognitivo y Prevención de Demencia, Instituto Peruano de Neurociencias, Lima, Peru
- Unidad de Investigación, Instituto Peruano de Neurociencias, Lima, Peru
- Servicio de Neuropsicología, Instituto Peruano de Neurociencias, Lima, Peru
| | - Serggio Lanata
- Department of Neurology, University of California, San Francisco, San Francisco, CA, United States
- Global Brain Health Institute, University of California, San Francisco, San Francisco, CA, United States
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42
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Narbutas J, Van Egroo M, Chylinski D, Bahri MA, Koshmanova E, Talwar P, Besson G, Muto V, Schmidt C, Luxen A, Balteau E, Phillips C, Maquet P, Salmon E, Bastin C, Vandewalle G, Collette F. Associations Between Cognitive Complaints, Memory Performance, Mood, and Amyloid-β Accumulation in Healthy Amyloid Negative Late-Midlife Individuals. J Alzheimers Dis 2021; 83:127-141. [PMID: 34275899 DOI: 10.3233/jad-210332] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Cognitive complaints are gaining more attention as they may represent an early marker of increased risk for AD in individuals without objective decline at standard neuropsychological examination. OBJECTIVE Our aim was to assess whether cognitive complaints in late middle-aged individuals not seeking medical help are related to objective cognitive outcomes known as early markers for AD risk, concomitant affective state, and amyloid-β (Aβ) burden. METHODS Eighty-seven community-based cognitively normal individuals aged 50-69 years underwent neuropsychological assessment for global cognition, using Preclinical Alzheimer's Cognitive Composite 5 (PACC5) score, and a more specific episodic memory measure. Affective state was based on self-assessment questionnaires for depression and anxiety. Aβ PET burden was assessed via [18F]Flutemetamol (N = 84) and [18F]Florbetapir (N = 3) uptake. Cognitive complaints were evaluated using Cognitive Difficulties Scale. RESULTS Higher cognitive complaints were significantly associated with lower episodic memory performance and worse affective state. Moreover, higher level of cognitive complaints was related to higher (but still sub-clinical) global Aβ accumulation (at uncorrected significance level). Importantly, all three aspects remained significant when taken together in the same statistical model, indicating that they explained distinct parts of variance. CONCLUSION In healthy Aβ negative late middle-aged individuals, a higher degree of cognitive complaints is associated with lower episodic memory efficiency, more anxiety and depression, as well as, potentially, with higher Aβ burden, suggesting that complaints might signal subtle decline. Future studies should untangle how cognitive complaints in healthy aging populations are related to longitudinal changes in objective cognition and AD biomarker correlates.
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Affiliation(s)
- Justinas Narbutas
- GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, Liège, Belgium.,Psychology and Neuroscience of Cognition Research Unit, Faculty of Psychology and Educational Sciences, University of Liège, Liège, Belgium
| | - Maxime Van Egroo
- GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, Liège, Belgium
| | - Daphne Chylinski
- GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, Liège, Belgium
| | - Mohamed Ali Bahri
- GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, Liège, Belgium
| | - Ekaterina Koshmanova
- GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, Liège, Belgium
| | - Puneet Talwar
- GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, Liège, Belgium
| | - Gabriel Besson
- GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, Liège, Belgium
| | - Vincenzo Muto
- GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, Liège, Belgium
| | - Christina Schmidt
- GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, Liège, Belgium.,Psychology and Neuroscience of Cognition Research Unit, Faculty of Psychology and Educational Sciences, University of Liège, Liège, Belgium
| | - André Luxen
- GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, Liège, Belgium
| | - Evelyne Balteau
- GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, Liège, Belgium
| | - Christophe Phillips
- GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, Liège, Belgium
| | - Pierre Maquet
- GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, Liège, Belgium.,Department of Neurology, CHU Liège, Liège, Belgium
| | - Eric Salmon
- GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, Liège, Belgium.,Psychology and Neuroscience of Cognition Research Unit, Faculty of Psychology and Educational Sciences, University of Liège, Liège, Belgium.,Department of Neurology, CHU Liège, Liège, Belgium
| | - Christine Bastin
- GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, Liège, Belgium.,Psychology and Neuroscience of Cognition Research Unit, Faculty of Psychology and Educational Sciences, University of Liège, Liège, Belgium
| | - Gilles Vandewalle
- GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, Liège, Belgium
| | - Fabienne Collette
- GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, Liège, Belgium.,Psychology and Neuroscience of Cognition Research Unit, Faculty of Psychology and Educational Sciences, University of Liège, Liège, Belgium
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Schwarz C, Lange C, Benson GS, Horn N, Wurdack K, Lukas M, Buchert R, Wirth M, Flöel A. Severity of Subjective Cognitive Complaints and Worries in Older Adults Are Associated With Cerebral Amyloid-β Load. Front Aging Neurosci 2021; 13:675583. [PMID: 34408640 PMCID: PMC8365025 DOI: 10.3389/fnagi.2021.675583] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Accepted: 06/22/2021] [Indexed: 01/19/2023] Open
Abstract
Subjective cognitive decline (SCD) is considered an early risk stage for dementia due to Alzheimer's disease (AD) and the development of pathological brain changes, such as the aggregation of amyloid-beta (amyloid-β) plaques. This study evaluates the association between specific features of SCD and cerebral amyloid-β load measured by positron emission tomography (PET) with 18F-florbetaben in 40 cognitively normal older individuals. Global amyloid-β, as well as regional amyloid-β load for the frontal, temporal, parietal, and cingulate cortex, was quantified. Specific features of SCD, such as subjective cognitive complaints and worry, were assessed using the 39-item Everyday Cognition Scales and the 16-item Penn State Worry Questionnaire. Spearman's rank partial correlation analyses, adjusted for age and apolipoprotein E ε4 status, were conducted to test the associations between specific features of SCD and cerebral amyloid-β load. The severity of subjective cognitive complaints in everyday memory and organization was positively correlated with amyloid-β load in the frontal cortex. In addition, the severity of subjective cognitive complaints in everyday planning was positively correlated with amyloid-β load in the parietal cortex. Higher levels of worry were associated with higher amyloid-β load in the frontal cortex. After correction of the PET data for partial volume effects, these associations were reduced to trend level. In conclusion, the severity of subjective cognitive complaints and the level of trait worry were positively associated with cortical amyloid-β burden, particularly in the frontal and parietal cortex. Further studies are required to elucidate the direction of these associations in order to develop strategies to prevent amyloid deposition and cognitive decline.
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Affiliation(s)
- Claudia Schwarz
- Department of Neurology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.,NeuroCure Clinical Research Center, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Catharina Lange
- Department of Nuclear Medicine, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Gloria S Benson
- Department of Neurology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.,NeuroCure Clinical Research Center, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Nora Horn
- Department of Neurology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.,NeuroCure Clinical Research Center, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Katharina Wurdack
- Department of Neurology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.,NeuroCure Clinical Research Center, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Mathias Lukas
- Department of Nuclear Medicine, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.,Siemens Healthcare GmbH, Berlin, Germany
| | - Ralph Buchert
- Department of Nuclear Medicine, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.,Department for Diagnostic and Interventional Radiology and Nuclear Medicine, University Hospital Hamburg-Eppendorf, Hamburg, Germany
| | - Miranka Wirth
- German Center for Neurodegenerative Diseases (DZNE) Site: Dresden, Dresden, Germany
| | - Agnes Flöel
- Department of Neurology, University Medicine Greifswald, Greifswald, Germany.,German Center for Neurodegenerative Diseases (DZNE) Site: Greifswald, Greifswald, Germany
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Wittens MMJ, Sima DM, Houbrechts R, Ribbens A, Niemantsverdriet E, Fransen E, Bastin C, Benoit F, Bergmans B, Bier JC, De Deyn PP, Deryck O, Hanseeuw B, Ivanoiu A, Lemper JC, Mormont E, Picard G, de la Rosa E, Salmon E, Segers K, Sieben A, Smeets D, Struyfs H, Thiery E, Tournoy J, Triau E, Vanbinst AM, Versijpt J, Bjerke M, Engelborghs S. Diagnostic Performance of Automated MRI Volumetry by icobrain dm for Alzheimer's Disease in a Clinical Setting: A REMEMBER Study. J Alzheimers Dis 2021; 83:623-639. [PMID: 34334402 PMCID: PMC8543261 DOI: 10.3233/jad-210450] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Background: Magnetic resonance imaging (MRI) has become important in the diagnostic work-up of neurodegenerative diseases. icobrain dm, a CE-labeled and FDA-cleared automated brain volumetry software, has shown potential in differentiating cognitively healthy controls (HC) from Alzheimer’s disease (AD) dementia (ADD) patients in selected research cohorts. Objective: This study examines the diagnostic value of icobrain dm for AD in routine clinical practice, including a comparison to the widely used FreeSurfer software, and investigates if combined brain volumes contribute to establish an AD diagnosis. Methods: The study population included HC (n = 90), subjective cognitive decline (SCD, n = 93), mild cognitive impairment (MCI, n = 357), and ADD (n = 280) patients. Through automated volumetric analyses of global, cortical, and subcortical brain structures on clinical brain MRI T1w (n = 820) images from a retrospective, multi-center study (REMEMBER), icobrain dm’s (v.4.4.0) ability to differentiate disease stages via ROC analysis was compared to FreeSurfer (v.6.0). Stepwise backward regression models were constructed to investigate if combined brain volumes can differentiate between AD stages. Results: icobrain dm outperformed FreeSurfer in processing time (15–30 min versus 9–32 h), robustness (0 versus 67 failures), and diagnostic performance for whole brain, hippocampal volumes, and lateral ventricles between HC and ADD patients. Stepwise backward regression showed improved diagnostic accuracy for pairwise group differentiations, with highest performance obtained for distinguishing HC from ADD (AUC = 0.914; Specificity 83.0%; Sensitivity 86.3%). Conclusion: Automated volumetry has a diagnostic value for ADD diagnosis in routine clinical practice. Our findings indicate that combined brain volumes improve diagnostic accuracy, using real-world imaging data from a clinical setting.
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Affiliation(s)
- Mandy Melissa Jane Wittens
- Reference Center for Biological Markers of Dementia (BIODEM), Laboratory of Neurochemistry and Behavior, University of Antwerp, Antwerp, Belgium.,Center for Neurosciences (C4N), Vrije Universiteit Brussel (VUB), Brussels, Belgium
| | | | | | | | - Ellis Niemantsverdriet
- Reference Center for Biological Markers of Dementia (BIODEM), Laboratory of Neurochemistry and Behavior, University of Antwerp, Antwerp, Belgium
| | - Erik Fransen
- StatUa Center for Statistics, University of Antwerp, Belgium
| | - Christine Bastin
- GIGA Cyclotron Research Centre in vivo Imaging, University of Liège, Liège, Belgium
| | - Florence Benoit
- Department of Geriatrics, Centre Hospitalier Universitaire (CHU) Brugmann, Brussels, Belgium
| | - Bruno Bergmans
- Department of Neurology and Center for Cognitive Disorders, Brugge, Belgium
| | | | - Peter Paul De Deyn
- Reference Center for Biological Markers of Dementia (BIODEM), Laboratory of Neurochemistry and Behavior, University of Antwerp, Antwerp, Belgium.,Department of Neurology and Memory Clinic, Hospital Network Antwerp (ZNA), Antwerp, Belgium
| | - Olivier Deryck
- Department of Neurology and Center for Cognitive Disorders, Brugge, Belgium
| | - Bernard Hanseeuw
- Department of Neurology, Cliniques Universitaires St Luc and Institute of Neuroscience, Université catholique de Louvain, Woluwe-Saint-Lambert (Brussels), Belgium
| | - Adrian Ivanoiu
- Department of Neurology, Cliniques Universitaires St Luc and Institute of Neuroscience, Université catholique de Louvain, Woluwe-Saint-Lambert (Brussels), Belgium
| | - Jean-Claude Lemper
- Department of Geriatrics, Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel, Brussels, Belgium.,Silva medical Scheutbos, Molenbeek-Saint-Jean (Brussels), Belgium
| | - Eric Mormont
- UCLouvain, CHU UCL Namur, service de Neurologie, Yvoir, Belgium.,UCLouvain, Institute of NeuroScience, Louvain-la-Neuve, Belgium
| | - Gaëtane Picard
- Department of Neurology, Clinique Saint-Pierre, Ottignies, Belgium
| | | | - Eric Salmon
- GIGA Cyclotron Research Centre in vivo Imaging, University of Liège, Liège, Belgium.,Department of Neurology, Memory Clinic, Centre Hospitalier Universitaire (CHU) Liège, Liège, Belgium
| | - Kurt Segers
- Department of Neurology, Centre Hospitalier Universitaire (CHU) Brugmann, Brussels, Belgium
| | - Anne Sieben
- Department of Neurology, University Hospital Ghent, Ghent University, Ghent, Belgium
| | | | - Hanne Struyfs
- Reference Center for Biological Markers of Dementia (BIODEM), Laboratory of Neurochemistry and Behavior, University of Antwerp, Antwerp, Belgium
| | - Evert Thiery
- Department of Neurology, University Hospital Ghent, Ghent University, Ghent, Belgium
| | - Jos Tournoy
- Geriatric Medicine and Memory Clinic, University Hospitals Leuven & Department of Chronic Diseases, Metabolism and Ageing, KU Leuven, Leuven, Belgium
| | | | - Anne-Marie Vanbinst
- Department of Radiology, Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Brussels, Belgium
| | - Jan Versijpt
- Department of Neurology, Universitair Ziekenhuis Brussel (UZ Brussel), Brussels, Belgium.,Center for Neurosciences (C4N), Vrije Universiteit Brussel (VUB), Brussels, Belgium
| | - Maria Bjerke
- Reference Center for Biological Markers of Dementia (BIODEM), Laboratory of Neurochemistry and Behavior, University of Antwerp, Antwerp, Belgium.,Center for Neurosciences (C4N), Vrije Universiteit Brussel (VUB), Brussels, Belgium.,Laboratory of Neurochemistry, Universitair Ziekenhuis Brussel (UZ Brussel), Brussels, Belgium
| | - Sebastiaan Engelborghs
- Reference Center for Biological Markers of Dementia (BIODEM), Laboratory of Neurochemistry and Behavior, University of Antwerp, Antwerp, Belgium.,Department of Neurology, Universitair Ziekenhuis Brussel (UZ Brussel), Brussels, Belgium.,Center for Neurosciences (C4N), Vrije Universiteit Brussel (VUB), Brussels, Belgium
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Zhang Z, Cui L, Huang Y, Chen Y, Li Y, Guo Q. Changes of Regional Neural Activity Homogeneity in Preclinical Alzheimer's Disease: Compensation and Dysfunction. Front Neurosci 2021; 15:646414. [PMID: 34220418 PMCID: PMC8248345 DOI: 10.3389/fnins.2021.646414] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2020] [Accepted: 05/26/2021] [Indexed: 12/23/2022] Open
Abstract
INTRODUCTION Subjective cognitive decline (SCD) is the preclinical stage of Alzheimer's disease and may develop into amnestic mild cognitive impairment (aMCI). Finding suitable biomarkers is the key to accurately identifying SCD. Previous resting-state functional magnetic resonance imaging (rs-fMRI) studies on SCD patients showed functional connectivity disorders. Our goal was to explore whether local neurological homogeneity changes in SCD patients, the relationship between these changes and cognitive function, and similarities of neurological homogeneity changes between SCD and aMCI patients. MATERIALS AND METHODS 37 cases of the healthy control (HC) group, 39 cases of the SCD group, and 28 cases of the aMCI group were included. Participants underwent rs-fMRI examination and a set of neuropsychological test batteries. Regional homogeneity (ReHo) was calculated and compared between groups. ReHo values were extracted from meaningful regions in the SCD group, and the correlation between ReHo values with the performance of neuropsychological tests was analyzed. RESULTS Our results showed significant changes in the ReHo among groups. In the SCD group compared with the HC group, part of the parietal lobe, frontal lobe, and occipital lobe showed decreased ReHo, and the temporal lobe, part of the parietal lobe and the frontal lobe showed increased ReHo. The increased area of ReHo was negatively correlated with the decreased area, and was related to decrease on multiple neuropsychological tests performance. Simultaneously, the changed areas of ReHo in SCD patients are similar to aMCI patients, while aMCI group's neuropsychological test performance was significantly lower than that of the SCD group. CONCLUSION There are significant changes in local neurological homogeneity in SCD patients, and related to the decline of cognitive function. The increase of neurological homogeneity in the temporal lobe and adjacent area is negatively correlated with cognitive function, reflecting compensation for local neural damage. These changes in local neurological homogeneity in SCD patients are similar to aMCI patients, suggesting similar neuropathy in these two stages. However, the aMCI group's cognitive function was significantly worse than that of the SCD group, suggesting that this compensation is limited. In summary, regional neural activity homogeneity may be a potential biomarker for identifying SCD and measuring the disease severity.
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Affiliation(s)
- Zhen Zhang
- Department of Gerontology, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
| | - Liang Cui
- Department of Gerontology, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
| | - Yanlu Huang
- Department of Gerontology, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
| | - Yu Chen
- The Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen–Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen, China
| | - Yuehua Li
- Department of Radiology, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
| | - Qihao Guo
- Department of Gerontology, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
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46
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Chen H, Li W, Sheng X, Ye Q, Zhao H, Xu Y, Bai F. Machine learning based on the multimodal connectome can predict the preclinical stage of Alzheimer's disease: a preliminary study. Eur Radiol 2021; 32:448-459. [PMID: 34109489 DOI: 10.1007/s00330-021-08080-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 04/13/2021] [Accepted: 05/19/2021] [Indexed: 10/21/2022]
Abstract
OBJECTIVES Subjective cognitive decline (SCD) may be a preclinical stage of Alzheimer's disease (AD). Neuroimaging studies suggest that abnormal brain connectivity plays an important role in the pathophysiology of SCD. However, most previous studies focused on single modalities only. Multimodal combinations can more effectively utilize various information and little is known about their diagnostic value in SCD. METHODS One hundred ten SCD individuals and well-matched healthy controls (HCs) were recruited in this study (the primary sample: 35 SCD and 36 HC; the validation sample: 21 SCD and 18 HC). Multimodal imaging data were used to construct functional, anatomical, and morphological networks, respectively. These networks were used in combination with a multiple kernel learning-support vector machine to predict SCD individuals. We validated our model on another independent sample. Multiple linear regression (MLR) analyses were conducted to investigate the relationships among network metrics, cognition, and pathological biomarkers. RESULTS We found that the characteristics identified from the multimodal network were primarily located in the default mode network (DMN) and salience network (SN), achieving an accuracy of 88.73% (an accuracy of 79.49% for an independent sample) based on the integration of the three modalities. MLR analyses showed that increased AV45 SUVRs were significantly associated with impaired memory function, the enhanced functional connectivity, and the decreased morphological connectivity. CONCLUSION This study suggests that abnormal multimodal connections within DMN and SN can be used as effective biomarkers to identify SCD and provide insight into understanding the pathophysiological mechanisms underlying SCD. KEY POINTS • Multimodal brain networks improve the detection accuracy of SCD. • Abnormal connections within DMN and SN can be used as effective biomarkers for the identification of SCD.
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Affiliation(s)
- Haifeng Chen
- Department of Neurology, Affiliated Drum Tower Hospital, Medical School and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, 321 Zhongshan Road, Nanjing, Jiangsu, 210008, China.,Jiangsu Key Laboratory of Molecular Medicine, Medical School of Nanjing University, Nanjing, China.,Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China.,Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, China
| | - Weikai Li
- College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China
| | - Xiaoning Sheng
- Department of Neurology, Affiliated Drum Tower Hospital, Medical School and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, 321 Zhongshan Road, Nanjing, Jiangsu, 210008, China.,Jiangsu Key Laboratory of Molecular Medicine, Medical School of Nanjing University, Nanjing, China.,Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China.,Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, China
| | - Qing Ye
- Department of Neurology, Affiliated Drum Tower Hospital, Medical School and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, 321 Zhongshan Road, Nanjing, Jiangsu, 210008, China.,Jiangsu Key Laboratory of Molecular Medicine, Medical School of Nanjing University, Nanjing, China.,Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China.,Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, China
| | - Hui Zhao
- Department of Neurology, Affiliated Drum Tower Hospital, Medical School and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, 321 Zhongshan Road, Nanjing, Jiangsu, 210008, China.,Jiangsu Key Laboratory of Molecular Medicine, Medical School of Nanjing University, Nanjing, China.,Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China.,Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, China
| | - Yun Xu
- Department of Neurology, Affiliated Drum Tower Hospital, Medical School and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, 321 Zhongshan Road, Nanjing, Jiangsu, 210008, China.,Jiangsu Key Laboratory of Molecular Medicine, Medical School of Nanjing University, Nanjing, China.,Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China.,Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, China
| | - Feng Bai
- Department of Neurology, Affiliated Drum Tower Hospital, Medical School and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, 321 Zhongshan Road, Nanjing, Jiangsu, 210008, China. .,Jiangsu Key Laboratory of Molecular Medicine, Medical School of Nanjing University, Nanjing, China. .,Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China. .,Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, China.
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47
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The Impact of Study Setting on Clinical Characteristics in Older Chinese Adults with Subjective Cognitive Decline: Baseline Investigation of Convenience and Population-Based Samples. BIOMED RESEARCH INTERNATIONAL 2021; 2021:5538323. [PMID: 34195266 PMCID: PMC8203354 DOI: 10.1155/2021/5538323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Revised: 03/27/2021] [Accepted: 05/26/2021] [Indexed: 11/17/2022]
Abstract
Background Subjective cognitive decline (SCD) is the earliest symptom stage of Alzheimer's disease (AD). Previous studies have shown that the study setting is an important influence factor of SCD. However, the effect of this factor among a Chinese population with SCD is not clear. Here, we aim to compare the clinical characteristics of SCD between a convenience and a population-based sample in China. Methods We included a convenience sample of 212 SCD subjects and a population-based sample of 110 SCD subjects. We performed univariate analysis to evaluate the between-group differences in sociodemographic characteristics, neuropsychological performance, psychiatric conditions, different cognitive domains, and the SCD-plus criteria. Multiple linear regression model was established, adjusted for sex, age, and education, and compared the neuropsychological performance between the groups. Results The convenience sample had more years of education, a higher family history of dementia, and higher neuropsychological and anxiety depression score than the population-based sample. Using sex, age, education, group as the independent variables, and neuropsychological score as the dependent variable, multiple linear regression model was established; a statistically significant neuropsychological score difference (MoCA-B, AVLT-H-N4, AVLT-H-N5, AVLT-H-N7, AFT, and STT-B) was found between the two samples. In the SCD cognitive domains, the population-based sample had more complaints about declines in their language and planning domains. For SCD-plus criteria in memory domain, the convenience sample had more complaints, worry, and cognitive decline within the last 5 years, along with medical help-seeking. Conclusion There were some different characteristics among SCD individuals between convenience samples and population-based samples in China.
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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: 0.7] [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.
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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
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49
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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: 2.3] [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.
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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
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Hao L, Sun Y, Li Y, Wang J, Wang Z, Zhang Z, Wei Z, Gao G, Jia J, Xing Y, Han Y. Demographic characteristics and neuropsychological assessments of subjective cognitive decline (SCD) (plus). Ann Clin Transl Neurol 2021; 7:1002-1012. [PMID: 32588989 PMCID: PMC7317645 DOI: 10.1002/acn3.51068] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2019] [Revised: 03/31/2020] [Accepted: 05/04/2020] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Since SCD (plus) was standardized, little is known about its demographic characteristics and its outcomes of neuropsychological assessments, including the SCD questionnaire 9 (SCD-Q9). OBJECTIVE To characterize SCD (plus) by comparing the neuropsychological features among its subgroups and with normal controls (NC). Also, to explore its demographics and to understand the relation of the chief complaints and the scores of SCD-Q9. METHODS Multistage stratified cluster random sampling was conducted to select participants. As a result, 84 NC and 517 SCD (plus) were included. SCD (plus) was further classified into several subgroups (SCD-C: concerned cognitive decline; SCD-F: complaints about SCD within the past five years; SCD-P: feeling performance being not as good as their peers; SCD+: presented> 3 of SCD (plus) features; SCD-: presented ≤ 3 of SCD (plus) features (see the diagnostic criteria for the details)) and between-group comparisons of neuropsychological scores were conducted. Point-biserial correlation and binary logistic regression analyses were performed to investigate the demographic characteristics of its subgroups. Finally, Spearman correlation was used to better understand the relation of SCD (plus) to SCD-Q9. RESULTS (1) Scores of AVLT-LR (AVLT-LR: Auditory Verbal Learning Test-Long Delayed Recall) and MoCA-B (MoCA: Montreal Cognitive Assessment-Basic) were lower in the SCD-P group than those in the NC group, and the SCD+ group scored lower in the MoCA-B and CDT(CDT: Clock Drawing Test) than the SCD- group. (2) Females were more concerned than male participants. Individuals with lower education level felt that their cognitive performance were worse than their peers. Also, younger people might express concerns more than the more elderly. People who had complaints of SCD-P might be more likely to report SCD-C, but less likely to report SCD-F. (3) Positive correlations were found between the chief complaints of SCD (plus) and some items of SCD-Q9. CONCLUSIONS SCD (plus) may be related to demographic factors. Individuals with SCD (plus) already exhibited cognitive impairment, which can be detected by SCD-Q9.
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Affiliation(s)
- Lixiao Hao
- Department of General Practice, XuanWu Hospital of Capital Medical University, Beijing, China.,Department of Geriatrics, XuanWu Hospital of Capital Medical University, Beijing, China
| | - Yu Sun
- Department of Neurology, XuanWu Hospital of Capital Medical University, Beijing, China
| | - Yun Li
- Department of Geriatrics, XuanWu Hospital of Capital Medical University, Beijing, China
| | - Jieyu Wang
- Department of Geriatrics, XuanWu Hospital of Capital Medical University, Beijing, China
| | - Zichen Wang
- Department of Geriatrics, XuanWu Hospital of Capital Medical University, Beijing, China
| | - Zhongying Zhang
- Department of Geriatrics, XuanWu Hospital of Capital Medical University, Beijing, China
| | - Zhanyun Wei
- Department of Geriatrics, XuanWu Hospital of Capital Medical University, Beijing, China
| | - Ge Gao
- Department of Geriatrics, XuanWu Hospital of Capital Medical University, Beijing, China
| | - Jianguo Jia
- Department of General Surgery, XuanWu Hospital of Capital Medical University, Beijing, China
| | - Yue Xing
- Radiological Sciences, Division of Clinical Neuroscience, Queen's Medical Centre, University of Nottingham, Nottingham, United Kingdom
| | - 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
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