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Moonen JEF, Haan R, Bos I, Teunissen C, van de Giessen E, Tomassen J, den Braber A, van der Landen SM, de Geus EJC, Legdeur N, van Harten AC, Trieu C, de Boer C, Kroeze L, Barkhof F, Visser PJ, van der Flier WM. Contributions of amyloid beta and cerebral small vessel disease in clinical decline. Alzheimers Dement 2024; 20:1868-1880. [PMID: 38146222 PMCID: PMC10984432 DOI: 10.1002/alz.13607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 11/21/2023] [Accepted: 11/22/2023] [Indexed: 12/27/2023]
Abstract
INTRODUCTION We assessed whether co-morbid small vessel disease (SVD) has clinical predictive value in preclinical or prodromal Alzheimer's disease. METHODS In 1090 non-demented participants (65.4 ± 10.7 years) SVD was assessed with magnetic resonance imaging and amyloid beta (Aβ) with lumbar puncture and/or positron emission tomography scan (mean follow-up for cognitive function 3.1 ± 2.4 years). RESULTS Thirty-nine percent had neither Aβ nor SVD (A-V-), 21% had SVD only (A-V+), 23% Aβ only (A+V-), and 17% had both (A+V+). Pooled cohort linear mixed model analyses demonstrated that compared to A-V- (reference), A+V- had a faster rate of cognitive decline. Co-morbid SVD (A+V+) did not further increase rate of decline. Cox regression showed that dementia risk was modestly increased in A-V+ (hazard ratio [95% confidence interval: 1.8 [1.0-3.2]) and most strongly in A+ groups. Also, mortality risk was increased in A+ groups. DISCUSSION In non-demented persons Aβ was predictive of cognitive decline, dementia, and mortality. SVD modestly predicts dementia in A-, but did not increase deleterious effects in A+. HIGHLIGHTS Amyloid beta (Aβ; A) was predictive for cognitive decline, dementia, and mortality. Small vessel disease (SVD) had no additional deleterious effects in A+. SVD modestly predicted dementia in A-. Aβ should be assessed even when magnetic resonance imaging indicates vascular cognitive impairment.
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Affiliation(s)
- Justine E. F. Moonen
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmcAmsterdamthe Netherlands
- Amsterdam Neuroscience, NeurodegenerationAmsterdamthe Netherlands
| | - Renée Haan
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmcAmsterdamthe Netherlands
- Amsterdam Neuroscience, NeurodegenerationAmsterdamthe Netherlands
| | - Isabelle Bos
- Nivel, Research Institute for Better CareUtrechtthe Netherlands
| | - Charlotte Teunissen
- Amsterdam Neuroscience, NeurodegenerationAmsterdamthe Netherlands
- Neurochemistry LaboratoryDepartment of Clinical ChemistryAmsterdam Neuroscience, Neurodegeneration, Amsterdam UMC, Vrije Universiteit AmsterdamAmsterdamthe Netherlands
| | - Elsmarieke van de Giessen
- Amsterdam Neuroscience, NeurodegenerationAmsterdamthe Netherlands
- Department of Radiology & Nuclear MedicineVrije Universiteit Amsterdam, Amsterdam UMC location VUmcAmsterdamthe Netherlands
| | - Jori Tomassen
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmcAmsterdamthe Netherlands
- Amsterdam Neuroscience, NeurodegenerationAmsterdamthe Netherlands
| | - Anouk den Braber
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmcAmsterdamthe Netherlands
- Amsterdam Neuroscience, NeurodegenerationAmsterdamthe Netherlands
| | - Sophie M. van der Landen
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmcAmsterdamthe Netherlands
- Amsterdam Neuroscience, NeurodegenerationAmsterdamthe Netherlands
| | - Eco J. C. de Geus
- Department of Biological PsychologyVU UniversityAmsterdamthe Netherlands
| | - Nienke Legdeur
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmcAmsterdamthe Netherlands
- Amsterdam Neuroscience, NeurodegenerationAmsterdamthe Netherlands
| | - Argonde C. van Harten
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmcAmsterdamthe Netherlands
- Amsterdam Neuroscience, NeurodegenerationAmsterdamthe Netherlands
| | - Calvin Trieu
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmcAmsterdamthe Netherlands
- Amsterdam Neuroscience, NeurodegenerationAmsterdamthe Netherlands
| | - Casper de Boer
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmcAmsterdamthe Netherlands
- Amsterdam Neuroscience, NeurodegenerationAmsterdamthe Netherlands
| | - Lior Kroeze
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmcAmsterdamthe Netherlands
- Amsterdam Neuroscience, NeurodegenerationAmsterdamthe Netherlands
| | - Frederik Barkhof
- Department of Radiology & Nuclear MedicineVrije Universiteit Amsterdam, Amsterdam UMC location VUmcAmsterdamthe Netherlands
- Institute of Healthcare Engineering and the Institute of Neurology, University College LondonLondonUK
| | - Pieter Jelle Visser
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmcAmsterdamthe Netherlands
- Amsterdam Neuroscience, NeurodegenerationAmsterdamthe Netherlands
- Department of Psychiatry and NeuropsychologySchool for Mental Health and Neuroscience (MHeNS), Maastricht UniversityMaastrichtthe Netherlands
- Department of Neurobiology, Care Sciences and Society, Division of NeurogeriatricsKarolinska InstitutetSolnaSweden
| | - Wiesje M. van der Flier
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmcAmsterdamthe Netherlands
- Amsterdam Neuroscience, NeurodegenerationAmsterdamthe Netherlands
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Dubbelman MA, Tomassen J, van der Landen SM, Bakker E, Kamps S, van Unnik AAJM, van de Glind MCABJ, van der Vlies AE, Koene T, Leeuwis AE, Barkhof F, van Harten AC, Teunissen C, van de Giessen E, Lemstra AW, Pijnenburg YAL, Ponds RWH, Sikkes SAM. Visual associative learning to detect early episodic memory deficits and distinguish Alzheimer's disease from other types of dementia. J Int Neuropsychol Soc 2024:1-10. [PMID: 38389489 DOI: 10.1017/s1355617724000079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/24/2024]
Abstract
OBJECTIVE We investigated how well a visual associative learning task discriminates Alzheimer's disease (AD) dementia from other types of dementia and how it relates to AD pathology. METHODS 3,599 patients (63.9 ± 8.9 years old, 41% female) from the Amsterdam Dementia Cohort completed two sets of the Visual Association Test (VAT) in a single test session and underwent magnetic resonance imaging. We performed receiver operating curve analysis to investigate the VAT's discriminatory ability between AD dementia and other diagnoses and compared it to that of other episodic memory tests. We tested associations between VAT performance and medial temporal lobe atrophy (MTA), and amyloid status (n = 2,769, 77%). RESULTS Patients with AD dementia performed worse on the VAT than all other patients. The VAT discriminated well between AD and other types of dementia (area under the curve range 0.70-0.86), better than other episodic memory tests. Six-hundred forty patients (17.8%) learned all associations on VAT-A, but not on VAT-B, and they were more likely to have higher MTA scores (odds ratios range 1.63 (MTA 0.5) through 5.13 for MTA ≥ 3, all p < .001) and to be amyloid positive (odds ratio = 3.38, 95%CI = [2.71, 4.22], p < .001) than patients who learned all associations on both sets. CONCLUSIONS Performance on the VAT, especially on a second set administered immediately after the first, discriminates AD from other types of dementia and is associated with MTA and amyloid positivity. The VAT might be a useful, simple tool to assess early episodic memory deficits in the presence of AD pathology.
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Affiliation(s)
- Mark A Dubbelman
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
- Department of Neurology, Center for Alzheimer Research and Treatment, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Jori Tomassen
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Sophie M van der Landen
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Els Bakker
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Suzie Kamps
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Annemartijn A J M van Unnik
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Marie-Christine A B J van de Glind
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Annelies E van der Vlies
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Ted Koene
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Anna E Leeuwis
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
- Old Age Psychiatry, GGZ inGeest, Amsterdam, The Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, The Netherlands
- Institutes of Neurology and Healthcare Engineering, University College London, London, UK
| | - Argonde C van Harten
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Charlotte Teunissen
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Elsmarieke van de Giessen
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, The Netherlands
| | - Afina W Lemstra
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Yolande A L Pijnenburg
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Rudolf W H Ponds
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
- Department of Medical Psychology, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Sietske A M Sikkes
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
- Faculty of Behavioral and Movement Sciences, Clinical Developmental Psychology and Clinical Neuropsychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
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Waterink L, Masselink LA, van der Lee SJ, Visser LNC, Cleutjens S, van der Schaar J, van Harten AC, Scheltens P, Sikkes SAM, van der Flier WM, Zwan MD. Interest in genetic susceptibility testing and disclosure of AD dementia risk in cognitively normal adults: a survey study. Alzheimers Res Ther 2024; 16:1. [PMID: 38167083 PMCID: PMC10759504 DOI: 10.1186/s13195-023-01364-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 12/03/2023] [Indexed: 01/05/2024]
Abstract
BACKGROUND Apolipoprotein-E (APOE) genetic testing for Alzheimer's disease is becoming more important as clinical trials are increasingly targeting individuals carrying APOE-ε4 alleles. Little is known about the interest in finding out one's genetic risk for Alzheimer's disease in the general population. Our objective was to examine this in a sample of cognitively normal (CN) adults within a population-based online research registry with the goal to implement APOE-ε4 status for trial recruitment. METHODS An online survey was completed by 442 CN participants between the age of 49 and 75 years (56% female) from the Dutch Brain Research Registry. The survey assessed interest in participation in research into, and disclosure of, genetic risk for dementia. The survey assessed interest in participation in research into, and disclosure of, genetic risk for dementia and knowing their genetic risk in different hypothetical risk scenarios (10%, 30%, and 50% genetic risk for dementia at age 85, corresponding to APOEε2/ε2 or ε2/ε3, APOEε3/ε4 or ε2ε4, and APOE-ε4/ε4 genotypes). Cochran's Q and post hoc McNemar tests were used to analyse differences in frequencies across scenarios. RESULTS Most participants were interested in participating in research into and disclosure of their genetic risk (81%). The most reported reason was to contribute to scientific research (94%). Interest was higher in males, whilst lower-educated participants were more often undecided. When provided with different risk scenarios, interest in knowing their risk was somewhat higher in the scenarios with higher risk, i.e. in the 50% (79%) compared to the 10% scenario (73%;χ2(2) = 7.98; p = .005). Most individuals expected they would share their genetic risk with close relatives (77-89%), would participate in medication trials (79-88%), and would make long-term arrangements, e.g. retirement, health care, will (69-82%), with larger proportions for scenarios with higher hypothetical genetic risk. CONCLUSIONS Our findings indicate that the vast majority of CN adults participating in a research registry expresses interest in AD genetic risk research and disclosure. Interest in genetic risk disclosure is higher in scenarios corresponding to the APOE-ε4 genotype. This suggests APOE-ε4 screening within an online research registry is potentially a well-received method to accelerate inclusion for trials.
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Affiliation(s)
- Lisa Waterink
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Boelelaan 1118, 1081, HZ, Amsterdam, The Netherlands.
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, 1081, HV, The Netherlands.
| | - Larissa A Masselink
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Boelelaan 1118, 1081, HZ, Amsterdam, The Netherlands
| | - Sven J van der Lee
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Boelelaan 1118, 1081, HZ, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, 1081, HV, The Netherlands
- Genomics of Neurodegenerative Diseases and Aging, Human Genetics, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
| | - Leonie N C Visser
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Boelelaan 1118, 1081, HZ, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, 1081, HV, The Netherlands
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, 171 77, Stockholm, Sweden
- Department of Medical Psychology, Amsterdam UMC location AMC, University of Amsterdam, Amsterdam, 1105, AZ, the Netherlands
- Amsterdam Public Health research Institute, Quality of Care, Amsterdam, 1105, BP, The Netherlands
| | - Solange Cleutjens
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Boelelaan 1118, 1081, HZ, Amsterdam, The Netherlands
| | - Jetske van der Schaar
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Boelelaan 1118, 1081, HZ, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, 1081, HV, The Netherlands
| | - Argonde C van Harten
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Boelelaan 1118, 1081, HZ, Amsterdam, The Netherlands
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Boelelaan 1118, 1081, HZ, Amsterdam, The Netherlands
- EQT Life Sciences Partners, Amsterdam, 1071, DV, The Netherlands
| | - Sietske A M Sikkes
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Boelelaan 1118, 1081, HZ, Amsterdam, The Netherlands
- Faculty of Behavioural and Movement Sciences, Department of Clinical, Neuro and Developmental Psychology, Vrije Universiteit, Amsterdam, 1081, HV, The Netherlands
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Boelelaan 1118, 1081, HZ, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, 1081, HV, The Netherlands
- Department of Epidemiology and Data Science, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, 1081, HZ, The Netherlands
| | - Marissa D Zwan
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Boelelaan 1118, 1081, HZ, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, 1081, HV, The Netherlands
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Trieu C, van Harten AC, Leeuwis AE, Exalto LG, Hooghiemstra AM, Verberk IMW, Allaart CP, Brunner-La Rocca HP, Kappelle LJ, van Oostenbrugge RJ, Biessels GJ, Teunissen CE, van der Flier WM. Alzheimer's Disease and Cognitive Decline in Patients with Cardiovascular Diseases Along the Heart-Brain Axis. J Alzheimers Dis 2024; 98:987-1000. [PMID: 38489178 DOI: 10.3233/jad-231096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/17/2024]
Abstract
Background We hypothesize that Alzheimer's disease (AD)-related pathology may accelerate cognitive decline in patients with cardiovascular diseases. Objective To investigate the association between blood-based biomarkers of AD, astrocyte activation, and neurodegeneration and cognitive decline. Methods From the multi-center Heart-Brain study, we included 412 patients with heart failure, carotid occlusive disease or vascular cognitive impairment (age:68.6±9.0) and 128 reference participants (65.7±7.5). Baseline amyloid-β42/40 (Aβ42/40), phosphorylated-tau181 (pTau181), glial fibrillary acidic protein (GFAP), and neurofilament light (NfL) were determined using SiMoA (Quanterix). Memory, attention, language, and executive functioning were evaluated (follow-up:2.1±0.3 years). We applied linear mixed models with terms for biomarker, time and biomarker*time interactions, adjusted for age, sex, education, and site, to assess associations between biomarkers and cognitive decline. Results Among patients, Aβ42/40 was not associated with cognitive performance at baseline. However, lower Aβ42/40 was associated with steeper decline in global cognition (β±SE:0.04±0.02). Higher pTau181 was associated with worse baseline performance on global cognition (-0.14±0.04) and memory (-0.31±0.09) and with steeper decline in global cognition (-0.07±0.02), memory (-0.09±0.04), attention (-0.05±0.02), and language (-0.10±0.03). Higher GFAP was associated with worse baseline performance on global cognition (-0.22±0.05), memory (-0.43±0.10), attention (-0.14±0.06), language (-0.15±0.05), and executive functioning (-0.15±0.05) and steeper decline in global cognition (-0.05±0.01). Higher NfL was associated with worse baseline performance on global cognition (-0.16±0.04), memory (-0.28±0.09), attention (-0.20±0.06), and executive functioning (-0.10±0.04), but was not associated with performance over time. In reference participants, no associations were found. Conclusions Our findings suggest that blood-based biomarkers of AD-related pathology predict cognitive decline in patients with cardiovascular diseases.
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Affiliation(s)
- Calvin Trieu
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam University Medical Center (Amsterdam UMC), Amsterdam, The Netherlands
- Amsterdam Neuroscience, Program Neurodegeneration, Amsterdam, The Netherlands
- Department of Laboratory Medicine, Neurochemistry Laboratory, Amsterdam Neuroscience, Program Neurodegeneration, Vrije Universiteit Amsterdam, Amsterdam University Medical Center (Amsterdam UMC), Amsterdam, The Netherlands
| | - Argonde C van Harten
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam University Medical Center (Amsterdam UMC), Amsterdam, The Netherlands
- Amsterdam Neuroscience, Program Neurodegeneration, Amsterdam, The Netherlands
| | - Anna E Leeuwis
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam University Medical Center (Amsterdam UMC), Amsterdam, The Netherlands
- Amsterdam Neuroscience, Program Neurodegeneration, Amsterdam, The Netherlands
| | - Lieza G Exalto
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands
- Brain Research Center, Zwolle, The Netherlands
- Julius Clinical, Zeist, The Netherlands
| | - Astrid M Hooghiemstra
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam University Medical Center (Amsterdam UMC), Amsterdam, The Netherlands
- Amsterdam Neuroscience, Program Neurodegeneration, Amsterdam, The Netherlands
| | - Inge M W Verberk
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam University Medical Center (Amsterdam UMC), Amsterdam, The Netherlands
- Amsterdam Neuroscience, Program Neurodegeneration, Amsterdam, The Netherlands
- Department of Laboratory Medicine, Neurochemistry Laboratory, Amsterdam Neuroscience, Program Neurodegeneration, Vrije Universiteit Amsterdam, Amsterdam University Medical Center (Amsterdam UMC), Amsterdam, The Netherlands
| | - Cor P Allaart
- Department of Cardiology, Institute for Cardiovascular Research, Vrije Universiteit Amsterdam, Amsterdam University Medical Center (Amsterdam UMC), Amsterdam, The Netherlands
| | | | - L Jaap Kappelle
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands
| | | | - Geert-Jan Biessels
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Charlotte E Teunissen
- Department of Laboratory Medicine, Neurochemistry Laboratory, Amsterdam Neuroscience, Program Neurodegeneration, Vrije Universiteit Amsterdam, Amsterdam University Medical Center (Amsterdam UMC), Amsterdam, The Netherlands
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam University Medical Center (Amsterdam UMC), Amsterdam, The Netherlands
- Amsterdam Neuroscience, Program Neurodegeneration, Amsterdam, The Netherlands
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Krell-Roesch J, Rakusa M, Syrjanen JA, van Harten AC, Lowe VJ, Jack CR, Kremers WK, Knopman DS, Stokin GB, Petersen RC, Vassilaki M, Geda YE. Association between CSF biomarkers of Alzheimer's disease and neuropsychiatric symptoms: Mayo Clinic Study of Aging. Alzheimers Dement 2023; 19:4498-4506. [PMID: 35142047 PMCID: PMC10433790 DOI: 10.1002/alz.12557] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Revised: 06/17/2021] [Accepted: 11/02/2021] [Indexed: 12/17/2022]
Abstract
INTRODUCTION We examined the association between cerebrospinal fluid (CSF)-derived biomarkers of Alzheimer's disease and neuropsychiatric symptoms (NPS) in older non-demented adults. METHODS We included 784 persons (699 cognitively unimpaired, 85 with mild cognitive impairment) aged ≥ 50 years who underwent CSF amyloid beta (Aβ42), hyperphosphorylated tau 181 (p-tau), and total tau (t-tau) as well as NPS assessment using Beck Depression and Anxiety Inventories (BDI-II, BAI), and Neuropsychiatric Inventory Questionnaire (NPI-Q). RESULTS Lower CSF Aβ42, and higher t-tau/Aβ42 and p-tau/Aβ42 ratios were associated with BDI-II and BAI total scores, clinical depression (BDI-II ≥ 13), and clinical anxiety (BAI ≥ 10), as well as NPI-Q-assessed anxiety, apathy, and nighttime behavior. DISCUSSION CSF Aβ42, t-tau/Aβ42, and p-tau/Aβ42 ratios were associated with NPS in community-dwelling individuals free of dementia. If confirmed by a longitudinal cohort study, the findings have clinical relevance of taking into account the NPS status of individuals with abnormal CSF biomarkers.
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Affiliation(s)
- Janina Krell-Roesch
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
- Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany
| | - Martin Rakusa
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
- Department of Neurology, University Medical Centre Maribor, Maribor, Slovenia
| | - Jeremy A. Syrjanen
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Argonde C. van Harten
- Alzheimer Center, Department of Neurology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Val J. Lowe
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | | | - Walter K. Kremers
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | | | - Gorazd B. Stokin
- International Clinical Research Center, St. Anne’s Hospital, Brno, Czech Republic
| | - Ronald C. Petersen
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - Maria Vassilaki
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Yonas E. Geda
- Department of Neurology, Barrow Neurological Institute, Phoenix, AZ, USA
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Hendriksen HMA, van Gils AM, van Harten AC, Hartmann T, Mangialasche F, Kamondi A, Kivipelto M, Rhodius-Meester HFM, Smets EMA, van der Flier WM, Visser LNC. Communication about diagnosis, prognosis, and prevention in the memory clinic: perspectives of European memory clinic professionals. Alzheimers Res Ther 2023; 15:131. [PMID: 37543608 PMCID: PMC10404377 DOI: 10.1186/s13195-023-01276-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Accepted: 07/19/2023] [Indexed: 08/07/2023]
Abstract
BACKGROUND The paradigm shift towards earlier Alzheimer's disease (AD) stages and personalized medicine creates new challenges for clinician-patient communication. We conducted a survey among European memory clinic professionals to identify opinions on communication about (etiological) diagnosis, prognosis, and prevention, and inventory needs for augmenting communication skills. METHODS Memory clinic professionals (N = 160) from 21 European countries completed our online survey (59% female, 14 ± 10 years' experience, 73% working in an academic hospital). We inventoried (1) opinions on communication about (etiological) diagnosis, prognosis, and prevention using 11 statements; (2) current communication practices in response to five hypothetical cases (AD dementia, mild cognitive impairment (MCI), subjective cognitive decline (SCD), with ( +) or without ( -) abnormal AD biomarkers); and (3) needs for communication support regarding ten listed communication skills. RESULTS The majority of professionals agreed that communication on diagnosis, prognosis, and prevention should be personalized to the individual patient. In response to the hypothetical patient cases, disease stage influenced the inclination to communicate an etiological AD diagnosis: 97% would explicitly mention the presence of AD to the patient with AD dementia, 68% would do so in MCI + , and 29% in SCD + . Furthermore, 58% would explicitly rule out AD in case of MCI - when talking to patients, and 69% in case of SCD - . Almost all professionals (79-99%) indicated discussing prognosis and prevention with all patients, of which a substantial part (48-86%) would personalize their communication to patients' diagnostic test results (39-68%) or patients' anamnestic information (33-82%). The majority of clinicians (79%) would like to use online tools, training, or both to support them in communicating with patients. Topics for which professionals desired support most were: stimulating patients' understanding of information, and communicating uncertainty, dementia risk, remotely/online, and with patients not (fluently) speaking the language of the country of residence. CONCLUSIONS In a survey of European memory clinic professionals, we found a strong positive attitude towards communication with patients about (etiological) diagnosis, prognosis, and prevention, and personalization of communication to characteristics and needs of individual patients. In addition, professionals expressed a need for supporting tools and skills training to further improve their communication with patients.
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Affiliation(s)
- Heleen M A Hendriksen
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands.
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands.
| | - Aniek M van Gils
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Argonde C van Harten
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Tobias Hartmann
- Experimental Neurology, Saarland University, 66424, Homburg, Germany
- Deutsches Institut Für DemenzPrävention, Saarland University, 66424, Homburg, Germany
| | - Francesca Mangialasche
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
- Karolinska University Hospital, Medical Unit Aging, Theme Inflammation and Aging, Stockholm, Sweden
| | - Anita Kamondi
- Department of Neurology, Neurology and Neurosurgery, National Institute of Mental Health, Budapest, Hungary
- Department of Neurology, Semmelweis University, Budapest, Hungary
| | - Miia Kivipelto
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
- Karolinska University Hospital, Medical Unit Aging, Theme Inflammation and Aging, Stockholm, Sweden
- Ageing and Epidemiology (AGE) Research Unit, School of Public Health, Imperial College London, London, UK
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Helsinki, Finland
| | - Hanneke F M Rhodius-Meester
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
- Department of Geriatric Medicine, The Memory Clinic, Oslo University Hospital, Oslo, Norway
- Internal Medicine, Geriatric Medicine Section, Amsterdam Cardiovascular Sciences Institute, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
| | - Ellen M A Smets
- Medical Psychology, Amsterdam UMC Location AMC, University of Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health, Quality of Care, Personalized Medicine, , Amsterdam, The Netherlands
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
- Epidemiology and Biostatistics, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Leonie N C Visser
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
- Medical Psychology, Amsterdam UMC Location AMC, University of Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health, Quality of Care, Personalized Medicine, , Amsterdam, The Netherlands
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7
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Krell‐Roesch J, Zaniletti I, Syrjanen JA, Kremers WK, Algeciras‐Schimnich A, Dage JL, van Harten AC, Fields JA, Knopman DS, Jack CR, Petersen RC, Vassilaki M, Geda YE. Plasma-derived biomarkers of Alzheimer's disease and neuropsychiatric symptoms: A community-based study. Alzheimers Dement (Amst) 2023; 15:e12461. [PMID: 37529120 PMCID: PMC10387518 DOI: 10.1002/dad2.12461] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 05/31/2023] [Accepted: 06/21/2023] [Indexed: 08/03/2023]
Abstract
INTRODUCTION We examined associations between plasma-derived biomarkers of Alzheimer's disease (AD) and neuropsychiatric symptoms (NPS) in community-dwelling older adults. METHODS Cross-sectional study involving 1005 persons ≥50 years of age (mean 74 years, 564 male, 118 cognitively impaired), who completed plasma-derived biomarker (amyloid beta 42 [Aβ42]/Aβ40, phosphorylated tau 181 [p-tau181], p-tau217, total tau [t-tau], neurofilament light [NfL]), and NPS assessment. RESULTS P-tau181 (odds ratio [OR] 2.06, 95% confidence interval [CI] 1.41-3.00, p < 0.001), p-tau217 (OR 1.70, 95% CI 1.10-2.61, p = 0.016), and t-tau (OR 1.44, 95% CI 1.08-1.92, p = 0.012) were associated with appetite change. We also found that p-tau181 and p-tau217 were associated with increased symptoms of agitation (OR 1.93, 95% CI 1.20-3.11, p = 0.007 and OR 2.04, 95% CI 1.21-3.42, p = 0.007, respectively), and disinhibition (OR 2.39, 95% CI 1.45-3.93, p = 0.001 and OR 2.30, 95% CI 1.33-3.98, p = 0.003, respectively). Aβ42/Aβ40 and NfL were not associated with NPS. CONCLUSION Higher plasma-derived p-tau181 and p-tau217 levels are associated with increased symptoms of appetite change, agitation, and disinhibition. These findings may support the validity of plasma tau biomarkers for predicting behavioral symptoms that often accompany cognitive impairment. HIGHLIGHTS We studied 1005 community-dwelling persons aged ≥ 50 yearsHigher plasma tau levels are associated with increased neuropsychiatric symptomsAβ42/Aβ40 and NfL are not associated with neuropsychiatric symptomsClinicians should treat neuropsychiatric symptoms in persons with high plasma-derived tau.
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Affiliation(s)
- Janina Krell‐Roesch
- Institute of Sports and Sports ScienceKarlsruhe Institute of TechnologyKarlsruheGermany
- Department of Quantitative Health SciencesMayo ClinicRochesterMinnesotaUSA
| | - Isabella Zaniletti
- Department of Quantitative Health SciencesMayo ClinicScottsdaleArizonaUSA
| | - Jeremy A. Syrjanen
- Department of Quantitative Health SciencesMayo ClinicRochesterMinnesotaUSA
| | - Walter K. Kremers
- Department of Quantitative Health SciencesMayo ClinicRochesterMinnesotaUSA
| | | | - Jeffrey L. Dage
- Department of Neurology and Stark Neurosciences Research InstituteIndiana University School of MedicineIndianapolisIndianaUSA
| | - Argonde C. van Harten
- Alzheimer Center, Department of NeurologyVrije Universiteit AmsterdamAmsterdamthe Netherlands
| | - Julie A. Fields
- Department of Psychiatry and PsychologyMayo ClinicRochesterMinnesotaUSA
| | | | | | - Ronald C. Petersen
- Department of Quantitative Health SciencesMayo ClinicRochesterMinnesotaUSA
- Department of NeurologyMayo ClinicRochesterMinnesotaUSA
| | - Maria Vassilaki
- Department of Quantitative Health SciencesMayo ClinicRochesterMinnesotaUSA
| | - Yonas E. Geda
- Department of Neurology and the Franke Barrow Global Neuroscience Education CenterBarrow Neurological InstitutePhoenixArizonaUSA
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8
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Fieldhouse JLP, Singleton EH, van Engelen MPE, van 't Hooft JJ, de Boer SCM, Froeling VE, Braun M, Oudega ML, van Grootheest D, Kerssens C, Duits FH, van Harten AC, Vijverberg EGB, Pijnenburg YAL. Decreased emotion recognition and reduced focus on facial hallmarks in behavioral variant frontotemporal dementia compared to primary psychiatric disorders and controls. Eur J Neurol 2023. [PMID: 37157190 DOI: 10.1111/ene.15837] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 04/25/2023] [Accepted: 04/27/2023] [Indexed: 05/10/2023]
Abstract
BACKGROUND Early diagnosis of behavioral variant frontotemporal dementia (bvFTD) is challenging due to symptomatic overlap with primary psychiatric disorders (PPD). As emotion recognition deficits are early and key features of bvFTD, we aimed to explore processes driving social cognition deficits that may aid in the differentiation between bvFTD and PPD. METHODS The total sample (N=51) included 18 patients with bvFTD, 11 patients with PPD (mood, autism spectrum and psychotic disorders) and 22 controls from Alzheimer Center Amsterdam of the Amsterdam UMC. Emotion recognition was assessed with the Ekman-60-Faces-test, during which eye tracking metrics were collected in the first 5 seconds a face was presented. Group differences in dwell time on the total image, as well as the circumscribed eyes area and mouth area were analysed using ANOVA, with post-hoc comparisons. RESULTS Patients with bvFTD scored lowest, patients with PPD intermediate and controls highest on emotion recognition. During facial processing, patients with bvFTD spent less dwell time on the total image than controls (mean difference=11.3%, F(2,48)=6.095,p=0.004, bvFTD-controls p=0.001[-892.64;-239.70]). Dwell time in the eyes area did not differ between diagnostic groups, while patients with bvFTD spent less dwell time in the mouth area than PPD (mean difference=10.7%; F(2,48)=3.423,p=0.041, bvFTD-PPD p=0.022[-986,38;-79,47]) and controls (mean difference=7.8%; bvFTD-controls p=0.043[-765,91;-12,76]). CONCLUSIONS In bvFTD, decreased emotion recognition may be related to reduced focus on facial hallmarks. These findings suggest a valuable role for biometrics in social cognition assessment and the differentiation between bvFTD and PPD.
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Affiliation(s)
- Jay L P Fieldhouse
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Ellen H Singleton
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Marie-Paule E van Engelen
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Jochum J van 't Hooft
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Sterre C M de Boer
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Violet E Froeling
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Michelle Braun
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Mardien L Oudega
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Mood, Anxiety, Psychosis, Sleep & Stress program, Amsterdam, The Netherlands
- GGZ inGeest Mental Health Care, Amsterdam, The Netherlands
| | - Daniël van Grootheest
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Mood, Anxiety, Psychosis, Sleep & Stress program, Amsterdam, The Netherlands
- GGZ inGeest Mental Health Care, Amsterdam, The Netherlands
| | - Cora Kerssens
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Mood, Anxiety, Psychosis, Sleep & Stress program, Amsterdam, The Netherlands
- GGZ inGeest Mental Health Care, Amsterdam, The Netherlands
| | - Flora H Duits
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Argonde C van Harten
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Everard G B Vijverberg
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Yolande A L Pijnenburg
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
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9
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Rabin LA, Sikkes SA, Tommet D, Jones RN, Crane PK, Elbulok-Charcape MM, Dubbelman MA, Koscik R, Amariglio RE, Buckley RF, Boada M, Chételat G, Dubois B, Ellis KA, Gifford KA, Jefferson AL, Jessen F, Johnson S, Katz MJ, Lipton RB, Luck T, Margioti E, Maruff P, Molinuevo JL, Perrotin A, Petersen RC, Rami L, Reisberg B, Rentz DM, Riedel-Heller SG, Risacher SL, Rodriguez-Gomez O, Sachdev PS, Saykin AJ, Scarmeas N, Smart C, Snitz BE, Sperling RA, Taler V, van der Flier WM, van Harten AC, Wagner M, Wolfsgruber S. Linking self-perceived cognitive functioning questionnaires using item response theory: The subjective cognitive decline initiative. Neuropsychology 2023; 37:463-499. [PMID: 37276136 PMCID: PMC10564559 DOI: 10.1037/neu0000888] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/07/2023] Open
Abstract
OBJECTIVE Self-perceived cognitive functioning, considered highly relevant in the context of aging and dementia, is assessed in numerous ways-hindering the comparison of findings across studies and settings. Therefore, the present study aimed to link item-level self-report questionnaire data from international aging studies. METHOD We harmonized secondary data from 24 studies and 40 different questionnaires with item response theory (IRT) techniques using a graded response model with a Bayesian estimator. We compared item information curves to identify items with high measurement precision at different levels of the self-perceived cognitive functioning latent trait. Data from 53,030 neuropsychologically intact older adults were included, from 13 English language and 11 non-English (or mixed) language studies. RESULTS We successfully linked all questionnaires and demonstrated that a single-factor structure was reasonable for the latent trait. Items that made the greatest contribution to measurement precision (i.e., "top items") assessed general and specific memory problems and aspects of executive functioning, attention, language, calculation, and visuospatial skills. These top items originated from distinct questionnaires and varied in format, range, time frames, response options, and whether they captured ability and/or change. CONCLUSIONS This was the first study to calibrate self-perceived cognitive functioning data of geographically diverse older adults. The resulting item scores are on the same metric, facilitating joint or pooled analyses across international studies. Results may lead to the development of new self-perceived cognitive functioning questionnaires guided by psychometric properties, content, and other important features of items in our item bank. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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Affiliation(s)
- Laura A. Rabin
- Department of Psychology, Brooklyn College, Brooklyn, NY, USA and The Graduate Center of CUNY, NY, NY, USA
- Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Sietske A.M. Sikkes
- Epidemiology and Data Science, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
| | - Douglas Tommet
- Department of Psychiatry and Human Behavior and Neurology, Warren Alpert Medical School, Brown University, Providence, RI, USA
| | - Richard N. Jones
- Department of Psychiatry and Human Behavior and Neurology, Warren Alpert Medical School, Brown University, Providence, RI, USA
| | - Paul K. Crane
- Division of General Internal Medicine, University of Washington, Seattle, WA, USA
| | | | - Mark A. Dubbelman
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
| | - Rebecca Koscik
- Wisconsin Alzheimer's Institute University of Wisconsin School of Medicine and Public Health Madison WI, USA
- Department of Medicine, University of Wisconsin School of Medicine and Public Health Madison WI, USA
| | - Rebecca E. Amariglio
- Department of Neurology, Brigham and Women’s Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Rachel F. Buckley
- Department of Neurology, Brigham and Women’s Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry and Melbourne School of Psychological Sciences, University of Melbourne, Melbourne, Australia
| | - Mercè Boada
- Alzheimer Research Center and Memory Clinic of Fundació ACE, Institut Català de Neurociències Aplicades, Barcelona, Spain
| | - Gaël Chételat
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", NeuroPresage Team, Cyceron, 14000 Caen, France
| | - Bruno Dubois
- Université Pierre et Marie Curie-Paris 6, AP-HP, Hôpital de la Salpêtrière, Paris, France
- Centre des Maladies Cognitives et Comportementales, Institut du Cerveau et de la Moelle épinière (ICM), UMRS975, Paris, France
| | - Kathryn A. Ellis
- Department of Psychiatry and Melbourne School of Psychological Sciences, University of Melbourne, Melbourne, Australia
| | - Katherine A. Gifford
- Vanderbilt Memory & Alzheimer’s Center, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Angela L. Jefferson
- Vanderbilt Memory & Alzheimer’s Center, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Frank Jessen
- Department of Psychiatry and Psychotherapy, Medical Faculty, University of Cologne, Cologne, Germany
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Sterling Johnson
- Geriatric Research Education and Clinical Center William S. Middleton Memorial Veterans Hospital Madison WI, USA
- University of Wisconsin School of Medicine and Public Health, Madison WI, USA
| | - Mindy J. Katz
- Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Richard B. Lipton
- Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Psychiatry and Behavioral Medicine, Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Tobias Luck
- Faculty of Applied Social Sciences, University of Applied Sciences Erfurt, Erfurt, Germany
| | - Eleni Margioti
- Laboratory of Cognitive Neuroscience, School of Psychology, Aristotle University of Thessaloniki, Thessaloniki, Greece
- Aviv Clinics, Jumeirah Lake Towers, Dubai, United Arab Emirates
| | | | - Jose Luis Molinuevo
- Alzheimer’s Disease and Other Cognitive Disorders Unit, IDIBAPS, Hospital Clinic, Barcelona, Spain
| | - Audrey Perrotin
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", NeuroPresage Team, Cyceron, 14000 Caen, France
| | - Ronald C. Petersen
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - Lorena Rami
- Alzheimer’s Disease and Other Cognitive Disorders Unit, IDIBAPS, Hospital Clinic, Barcelona, Spain
| | - Barry Reisberg
- Department of Psychiatry, New York University Langone Medical Center, New York, NY, USA
- Silberstein Aging and Dementia Research Center, New York University School of Medicine, New York, NY, USA
| | - Dorene M. Rentz
- Department of Neurology, Brigham and Women’s Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Steffi G. Riedel-Heller
- Institute of Social Medicine, Occupational Health and Public Health (ISAP), University of Leipzig, Leipzig, Germany
| | - Shannon L. Risacher
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
- Indiana Alzheimer’s Disease Research Center, Indiana University School of Medicine, Indianapolis, IN
| | - Octavio Rodriguez-Gomez
- Alzheimer Research Center and Memory Clinic of Fundació ACE, Institut Català de Neurociències Aplicades, Barcelona, Spain
| | - Perminder S. Sachdev
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, University of New South Wales, Sydney, Australia
| | - Andrew J. Saykin
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
- Indiana Alzheimer’s Disease Research Center, Indiana University School of Medicine, Indianapolis, IN
| | - Nikolaos Scarmeas
- 1st Department of Neurology, Aiginition Hospital, National and Kapodistrian University of Athens Medical School, Greece
- Department of Neurology, Columbia University, New York, USA
| | - Colette Smart
- Department of Psychology, University of Victoria, Victoria, BC, Canada
- Centre on Aging, University of Victoria, Victoria, BC, Canada
| | - Beth E. Snitz
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Reisa A. Sperling
- Department of Neurology, Brigham and Women’s Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Vanessa Taler
- School of Psychology, University of Ottawa, Ottawa, ON, Canada
- Bruyère Research Institute, Ottawa, ON, Canada
| | - Wiesje M. van der Flier
- Epidemiology and Data Science, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Argonde C. van Harten
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Michael Wagner
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University of Bonn, Bonn, Germany
| | - Steffen Wolfsgruber
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Department of Psychiatry and Psychotherapy University of Bonn, Bonn, Germany
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10
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Dreves MAE, van Harten AC, Visser LNC, Rhodius‐Meester H, Köhler S, Kooistra M, Papma JM, Honey MIJ, Blom MM, Smets EMA, de Vugt ME, Teunissen CE, van der Flier WM. Rationale and design of the ABOARD project (A Personalized Medicine Approach for Alzheimer's Disease). Alzheimers Dement (N Y) 2023; 9:e12401. [PMID: 37287472 PMCID: PMC10242186 DOI: 10.1002/trc2.12401] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 05/10/2023] [Accepted: 05/18/2023] [Indexed: 06/09/2023]
Abstract
The key to stopping Alzheimer's disease (AD) lies in the pre-dementia stages, with the goal to stop AD before dementia has started. We present the rationale and design of the ABOARD (A Personalized Medicine Approach for Alzheimer's Disease) project, which aims to invest in personalized medicine for AD. ABOARD is a Dutch public-private partnership of 32 partners, connecting stakeholders from a scientific, clinical, and societal perspective. The 5-year project is structured into five work packages on (1) diagnosis, (2) prediction, (3) prevention, (4) patient-orchestrated care, and (5) communication and dissemination. ABOARD functions as a network organization in which professionals interact cross-sectorally. ABOARD has a strong junior training program "Juniors On Board." Project results are shared with society through multiple communication resources. By including relevant partners and involving citizens at risk, patients, and their care partners, ABOARD builds toward a future with personalized medicine for AD. Highlights ABOARD (A Personalized Medicine Approach for Alzheimer's Disease) is a public-private research project executed by 32 partners that functions as a network organization.Together, the project partners build toward a future with personalized medicine for Alzheimer's disease.Although ABOARD is a Dutch consortium, it has international relevance.ABOARD improves diagnosis, prediction, prevention, and patient-orchestrated care.
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Affiliation(s)
- Maria A. E. Dreves
- Alzheimer Center AmsterdamNeurologyAmsterdam UMC location VUmcVrije Universiteit AmsterdamAmsterdamthe Netherlands
- Amsterdam NeuroscienceAmsterdam UMC location VUmcVrije Universiteit AmsterdamAmsterdamthe Netherlands
| | - Argonde C. van Harten
- Alzheimer Center AmsterdamNeurologyAmsterdam UMC location VUmcVrije Universiteit AmsterdamAmsterdamthe Netherlands
- Amsterdam NeuroscienceAmsterdam UMC location VUmcVrije Universiteit AmsterdamAmsterdamthe Netherlands
- Neurochemistry LaboratoryDepartment of Clinical ChemistryVrije Universiteit AmsterdamAmsterdamthe Netherlands
| | - Leonie N. C. Visser
- Alzheimer Center AmsterdamNeurologyAmsterdam UMC location VUmcVrije Universiteit AmsterdamAmsterdamthe Netherlands
- Department of Medical PsychologyAmsterdam UMC location AMCUniversity of AmsterdamAmsterdamthe Netherlands
- Amsterdam Public Health Research InstituteQuality of CareAmsterdam UMC location AMCUniversity of AmsterdamAmsterdamthe Netherlands
- Division of Clinical GeriatricsCenter for Alzheimer ResearchDepartment of NeurobiologyCare Sciences and SocietyKarolinska InstitutetStockholmSweden
| | - Hanneke Rhodius‐Meester
- Alzheimer Center AmsterdamNeurologyAmsterdam UMC location VUmcVrije Universiteit AmsterdamAmsterdamthe Netherlands
- Amsterdam NeuroscienceAmsterdam UMC location VUmcVrije Universiteit AmsterdamAmsterdamthe Netherlands
- Department of Internal MedicineGeriatric Medicine sectionVrije Universiteit AmsterdamAmsterdamthe Netherlands
- Department of Geriatric MedicineThe Memory ClinicOslo University HospitalOsloNorway
| | - Sebastian Köhler
- Department of Psychiatry and NeuropsychologySchool for Mental Health and NeuroscienceMaastricht UniversityMaastrichtthe Netherlands
| | | | - Janne M. Papma
- Department of Neurology and Alzheimer Center Erasmus MCErasmus MC University Medical CenterRotterdamthe Netherlands
| | - Madison I. J. Honey
- Amsterdam NeuroscienceAmsterdam UMC location VUmcVrije Universiteit AmsterdamAmsterdamthe Netherlands
- Neurochemistry LaboratoryDepartment of Clinical ChemistryVrije Universiteit AmsterdamAmsterdamthe Netherlands
| | | | - Ellen M. A. Smets
- Department of Medical PsychologyAmsterdam UMC location AMCUniversity of AmsterdamAmsterdamthe Netherlands
- Amsterdam Public Health Research InstituteQuality of CareAmsterdam UMC location AMCUniversity of AmsterdamAmsterdamthe Netherlands
| | - Marjolein E. de Vugt
- Department of Psychiatry and NeuropsychologySchool for Mental Health and NeuroscienceMaastricht UniversityMaastrichtthe Netherlands
| | - Charlotte E. Teunissen
- Amsterdam NeuroscienceAmsterdam UMC location VUmcVrije Universiteit AmsterdamAmsterdamthe Netherlands
- Neurochemistry LaboratoryDepartment of Clinical ChemistryVrije Universiteit AmsterdamAmsterdamthe Netherlands
| | - Wiesje M. van der Flier
- Alzheimer Center AmsterdamNeurologyAmsterdam UMC location VUmcVrije Universiteit AmsterdamAmsterdamthe Netherlands
- Amsterdam NeuroscienceAmsterdam UMC location VUmcVrije Universiteit AmsterdamAmsterdamthe Netherlands
- Department of Epidemiology and Data ScienceAmsterdam UMC location VUmc, Vrije Universiteit AmsterdamAmsterdamthe Netherlands
| | - the ABOARD Consortium
- Alzheimer Center AmsterdamNeurologyAmsterdam UMC location VUmcVrije Universiteit AmsterdamAmsterdamthe Netherlands
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11
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Dubbelman MA, Sikkes SAM, Ebenau JL, van Leeuwenstijn MSSA, Kroeze LA, Trieu C, van Berckel BNM, Teunissen CE, van Harten AC, van der Flier WM. Changes in self- and study partner-perceived cognitive functioning in relation to amyloid status and future clinical progression: Findings from the SCIENCe project. Alzheimers Dement 2023. [PMID: 36642977 DOI: 10.1002/alz.12931] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 11/24/2022] [Accepted: 12/19/2022] [Indexed: 01/17/2023]
Abstract
INTRODUCTION We investigated changes in self- and study partner-reported self-perceived cognitive decline in relation to amyloid pathology and clinical progression, in a sample of cognitively normal individuals. METHODS A total of 404 participants (63 ± 9 years, 44% female) and their study partners completed the Cognitive Change Index (CCI) yearly (0.7-6.8 follow-up years; n visits = 1436). Baseline and longitudinal associations between (change in) CCI scores, amyloid, and clinical progression were modeled in linear mixed models and Cox regressions. RESULTS CCI-study partner scores of amyloid-positive individuals increased over time (B = 1.79, 95% confidence interval [CI] = [0.51, 3.06]), while CCI-self scores remained stable (B = -0.45, 95% CI = [-1.77, 0.87]). Ten-point higher baseline CCI-study partner (hazard ratio [HR] = 1.75, 95% CI = [1.30, 2.36]) and CCI-self scores (HR = 1.90, 95% CI = [1.40, 2.58]) were associated with an approximately 2-fold increased risk of progression to mild cognitive impairment or dementia. DISCUSSION Study partner-reported but not self-perceived complaints increase over time in amyloid-positive individuals, supporting the value of longitudinal study partner report, even in initially cognitively normal individuals.
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Affiliation(s)
- Mark A Dubbelman
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands.,Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Sietske A M Sikkes
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands.,Amsterdam Neuroscience, Amsterdam, the Netherlands.,Faculty of Behavioural and Movement Sciences, Clinical Developmental Psychology & Clinical Neuropsychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Jarith L Ebenau
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands.,Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Mardou S S A van Leeuwenstijn
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands.,Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Lior A Kroeze
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands.,Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Calvin Trieu
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands.,Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Bart N M van Berckel
- Amsterdam Neuroscience, Amsterdam, the Netherlands.,Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Charlotte E Teunissen
- Amsterdam Neuroscience, Amsterdam, the Netherlands.,Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Argonde C van Harten
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands.,Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands.,Amsterdam Neuroscience, Amsterdam, the Netherlands.,Department of Epidemiology and Data Science, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
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12
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Krebs C, Brill E, Minkova L, Federspiel A, Kellner-Weldon F, Wyss P, Teunissen CE, van Harten AC, Seydell-Greenwald A, Klink K, Züst MA, Brem AK, Klöppel S. Investigating Compensatory Brain Activity in Older Adults with Subjective Cognitive Decline. J Alzheimers Dis 2023; 93:107-124. [PMID: 36970895 DOI: 10.3233/jad-221001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/09/2023]
Abstract
BACKGROUND Preclinical Alzheimer's disease (AD) is one possible cause of subjective cognitive decline (SCD). Normal task performance despite ongoing neurodegeneration is typically considered as neuronal compensation, which is reflected by greater neuronal activity. Compensatory brain activity has been observed in frontal as well as parietal regions in SCD, but data are scarce, especially outside the memory domain. OBJECTIVE To investigate potential compensatory activity in SCD. Such compensatory activity is particularly expected in participants where blood-based biomarkers indicated amyloid positivity as this implies preclinical AD. METHODS 52 participants with SCD (mean age: 71.00±5.70) underwent structural and functional neuroimaging (fMRI), targeting episodic memory and spatial abilities, and a neuropsychological assessment. The estimation of amyloid positivity was based on plasma amyloid-β and phosphorylated tau (pTau181) measures. RESULTS Our fMRI analyses of the spatial abilities task did not indicate compensation, with only three voxels exceeding an uncorrected threshold at p < 0.001. This finding was not replicated in a subset of 23 biomarker positive individuals. CONCLUSION Our results do not provide conclusive evidence for compensatory brain activity in SCD. It is possible that neuronal compensation does not manifest at such an early stage as SCD. Alternatively, it is possible that our sample size was too small or that compensatory activity may be too heterogeneous to be detected by group-level statistics. Interventions based on the individual fMRI signal should therefore be explored.
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Affiliation(s)
- Christine Krebs
- University Hospital of Old Age Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
- Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland
| | - Esther Brill
- University Hospital of Old Age Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
- Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland
- Graduate School for Health Sciences, University of Bern, Bern, Switzerland
| | - Lora Minkova
- University Hospital of Old Age Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Andrea Federspiel
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Ber, Bern, Switzerland
| | - Frauke Kellner-Weldon
- Section Neuroradiology of the Department of Radiology, Cantonal Hospital Lucerne, Lucerne, Switzerland
| | - Patric Wyss
- University Hospital of Old Age Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Charlotte E Teunissen
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Vrije University, Amsterdam, the Netherlands
| | - Argonde C van Harten
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | | | - Katharina Klink
- University Hospital of Old Age Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Marc A Züst
- University Hospital of Old Age Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Anna-Katharine Brem
- University Hospital of Old Age Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Stefan Klöppel
- University Hospital of Old Age Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
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13
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Mank A, van Maurik IS, van Harten AC, Rhodius‐Meester HFM, Teunissen CE, van Berckel BNM, Berkhof J, van der Flier WM, Rijnhart JJM. Life satisfaction across the entire trajectory of Alzheimer's disease: A mediation analysis. Alzheimers Dement (Amst) 2022; 14:e12389. [PMID: 36579132 PMCID: PMC9780509 DOI: 10.1002/dad2.12389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 11/16/2022] [Accepted: 11/22/2022] [Indexed: 12/24/2022]
Abstract
Introduction We studied life satisfaction across Alzheimer's disease (AD) stages and studied mobility and meaningful activities as mediators of the associations between these AD stages and life satisfaction. Methods In this cross-sectional study, we included n = 269 amyloid-positive patients with subjective cognitive decline (SCD), mild cognitive impairment (MCI), and AD dementia from the Amsterdam Dementia Cohort. Life satisfaction was measured with the satisfaction with life scale. The mediating role of transportation, work, sports, and hobbies on life satisfaction was examined in single and multiple mediator models. Results Patients with dementia are less satisfied with life compared to SCD and MCI. These differences in life satisfaction are explained by reduced participation in meaningful activities, which in turn, was largely attributable to decreased transportation use. Discussion Our findings suggest that improving access to transportation, therewith allowing participation in meaningful activities help to maintain life satisfaction and may be an important target for intervention.
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Affiliation(s)
- Arenda Mank
- Alzheimer Center Amsterdam, NeurologyAmsterdam UMC location VUmcVrije Universiteit AmsterdamAmsterdamThe Netherlands,Amsterdam Neuroscience, NeurodegenerationAmsterdamThe Netherlands,Amsterdam UMC, Vrije Universiteit AmsterdamDepartment of Epidemiology and Data ScienceAmsterdam Public Health InstituteAmsterdamThe Netherlands
| | - Ingrid S. van Maurik
- Alzheimer Center Amsterdam, NeurologyAmsterdam UMC location VUmcVrije Universiteit AmsterdamAmsterdamThe Netherlands,Amsterdam Neuroscience, NeurodegenerationAmsterdamThe Netherlands,Amsterdam UMC, Vrije Universiteit AmsterdamDepartment of Epidemiology and Data ScienceAmsterdam Public Health InstituteAmsterdamThe Netherlands
| | - Argonde C. van Harten
- Alzheimer Center Amsterdam, NeurologyAmsterdam UMC location VUmcVrije Universiteit AmsterdamAmsterdamThe Netherlands,Amsterdam Neuroscience, NeurodegenerationAmsterdamThe Netherlands
| | - Hanneke F. M. Rhodius‐Meester
- Alzheimer Center Amsterdam, NeurologyAmsterdam UMC location VUmcVrije Universiteit AmsterdamAmsterdamThe Netherlands,Department of Internal MedicineGeriatric Medicine SectionVrije Universiteit AmsterdamAmsterdam UMCAmsterdamThe Netherlands
| | - Charlotte E. Teunissen
- Neurochemistry LaboratoryDepartment of Clinical ChemistryAmsterdam UMC location VUmcVrije UniversiteitAmsterdamThe Netherlands
| | - Bart N. M. van Berckel
- Alzheimer Center Amsterdam, NeurologyAmsterdam UMC location VUmcVrije Universiteit AmsterdamAmsterdamThe Netherlands,Amsterdam Neuroscience, NeurodegenerationAmsterdamThe Netherlands,Department of Radiology & Nuclear Medicine Amsterdam Neuroscience Vrije Universiteit AmsterdamAmsterdam UMCAmsterdamThe Netherlands
| | - Johannes Berkhof
- Amsterdam UMC, Vrije Universiteit AmsterdamDepartment of Epidemiology and Data ScienceAmsterdam Public Health InstituteAmsterdamThe Netherlands
| | - Wiesje M. van der Flier
- Alzheimer Center Amsterdam, NeurologyAmsterdam UMC location VUmcVrije Universiteit AmsterdamAmsterdamThe Netherlands,Amsterdam Neuroscience, NeurodegenerationAmsterdamThe Netherlands,Amsterdam UMC, Vrije Universiteit AmsterdamDepartment of Epidemiology and Data ScienceAmsterdam Public Health InstituteAmsterdamThe Netherlands
| | - Judith J. M. Rijnhart
- Amsterdam UMC, Vrije Universiteit AmsterdamDepartment of Epidemiology and Data ScienceAmsterdam Public Health InstituteAmsterdamThe Netherlands
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14
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Mank A, Rijnhart JJ, van Maurik IS, Jönsson L, Handels R, Bakker ED, Teunissen CE, van Berckel BNM, van Harten AC, Berkhof J, van der Flier WM. A longitudinal study on quality of life along the spectrum of Alzheimer’s disease. Alzheimers Dement 2022. [DOI: 10.1002/alz.061489] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Arenda Mank
- Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Epidemiology and Data Science Amsterdam Netherlands
| | - Judith J.M. Rijnhart
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Epidemiology and Data Science Amsterdam Netherlands
| | - Ingrid S. van Maurik
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Epidemiology and Data Science Amsterdam Netherlands
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
| | - Linus Jönsson
- Karolinska Institutet, Dept for Neurobiology, Care Sciences and Society, Division for Neurogeriatrics Solna Sweden
| | - Ron Handels
- Maastricht University; Department of Psychiatry and Neuropsychology; Alzheimer Centre Limburg; School for Mental Health and Neurosciences Maastricht Netherlands
- Karolinska Institutet, Dept for Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Div of neurogeriatrics Solna Sweden
| | - Els D. Bakker
- Alzheimer Center Amsterdam, Amsterdam UMC, VUmc, department of neurology Amsterdam Netherlands
| | - Charlotte E. Teunissen
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
- Amsterdam UMC, VU University Amsterdam Netherlands
| | | | - Argonde C. van Harten
- Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
| | - Johannes Berkhof
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Epidemiology and Data Science Amsterdam Netherlands
| | - Wiesje M. van der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
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15
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Dubbelman MA, Sikkes SA, Ebenau JL, van Leeuwenstijn M, Kroeze LA, van Berckel BNM, Teunissen CE, van Harten AC, van der Flier WM. Subjective cognitive decline and clinical progression in the memory clinic: The value of longitudinal self‐ and informant‐report in the SCIENCe project. Alzheimers Dement 2022. [DOI: 10.1002/alz.061349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Mark A. Dubbelman
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
| | - Sietske A.M. Sikkes
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
- Faculty of Behavioural and Movement Sciences, Clinical Developmental Psychology & Clinical Neuropsychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands Amsterdam Netherlands
| | - Jarith L. Ebenau
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
| | - Mardou van Leeuwenstijn
- Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
| | - Lior A. Kroeze
- Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
| | | | - Charlotte E. Teunissen
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
| | - Argonde C. van Harten
- Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
| | - Wiesje M. van der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
- Department of Epidemiology and Data Sciences, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
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16
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Ottenhoff L, Vijverberg EG, Prins ND, Kroeze LA, van Harten AC, van Berckel BNM, van der Flier WM, Sikkes SA, Hendriksen HM. Differential responsiveness of outcome measures according to biomarker inclusion criteria: implications for trial design. Alzheimers Dement 2022. [DOI: 10.1002/alz.066743] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Lois Ottenhoff
- Brain Research Center Amsterdam Netherlands
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
| | - Everard G.B. Vijverberg
- Brain Research Center Amsterdam Netherlands
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
| | | | - Lior A. Kroeze
- Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
| | - Argonde C. van Harten
- Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
- Neurochemistry Laboratory, Department of Clinical Chemistry, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
| | - Bart NM van Berckel
- Department of Radiology & Nuclear Medicine Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
- Amsterdam UMC, VU University Medical Center Amsterdam Netherlands
| | - Wiesje M. van der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
- Department of Epidemiology and Data Sciences Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
| | - Sietske A.M. Sikkes
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
- Clinical Developmental Psychology and Clinical Neuropsychology Faculty of Behavioural and Movement Sciences (FGB) Vrije University Amsterdam, Amsterdam, The Netherlands Amsterdam Netherlands
| | - Heleen M.A. Hendriksen
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
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17
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Honey MIJ, Verberk IM, Gouda M, Hussainali Z, Kroeze LA, van Leeuwenstijn M, Mank A, Trieu C, Wilson D, Pijnenburg YA, van der Flier WM, van Harten AC, Teunissen CE. Plasma glial fibrillary acidic protein, neurofilament light, phosphorylated‐tau‐181 and amyloid β
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as prognostic biomarkers for clinical progression to dementia in individuals with subjective cognitive decline and mild cognitive impairment. Alzheimers Dement 2022. [DOI: 10.1002/alz.064620] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Madison I. J. Honey
- Neurochemistry Laboratory, Department of Clinical Chemistry, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
| | - Inge M.W. Verberk
- Neurochemistry Laboratory, Amsterdam Neuroscience, Amsterdam University Medical Center, Amsterdam, Netherlands
| | - Mariam Gouda
- Neurochemistry Laboratory, Amsterdam Neuroscience, Amsterdam University Medical Center, Amsterdam, Netherlands
| | - Zulaiga Hussainali
- Neurochemistry Laboratory, Amsterdam Neuroscience, Amsterdam University Medical Center, Amsterdam, Netherlands
| | - Lior A. Kroeze
- Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
| | - Mardou van Leeuwenstijn
- Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
| | - Arenda Mank
- Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
| | - Calvin Trieu
- Neurochemistry Laboratory, Department of Clinical Chemistry, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
- Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
| | | | - Yolande A.L. Pijnenburg
- Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
| | - Wiesje M. van der Flier
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
| | - Argonde C. van Harten
- Neurochemistry Laboratory, Department of Clinical Chemistry, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
- Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
| | - Charlotte E. Teunissen
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
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18
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Verberk IM, van Harten AC, Gouda M, Hussainali Z, van Engelen ME, Wilson D, Lemstra AW, Pijnenburg YA, van der Flier WM, Teunissen CE. Implementation of the Alzheimer’s blood‐based biomarker panel in clinical practice: the development of cutoffs for plasma Abeta
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, P‐tau181, GFAP and NfL across the clinical continuum. Alzheimers Dement 2022. [DOI: 10.1002/alz.064069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Inge M.W. Verberk
- Neurochemistry Laboratory, Amsterdam Neuroscience, Amsterdam University Medical Center Amsterdam Netherlands
| | - Argonde C. van Harten
- Alzheimer Center Amsterdam Neuroscience, Vrije Universiteit Amsterdam UMC, Amsterdam Amsterdam Amsterdam Netherlands
| | - Mariam Gouda
- Neurochemistry Laboratory, Amsterdam Neuroscience, Amsterdam University Medical Center Amsterdam Netherlands
| | - Zulaiga Hussainali
- Neurochemistry Laboratory, Amsterdam Neuroscience, Amsterdam University Medical Center Amsterdam Netherlands
| | - Marie‐Paule E. van Engelen
- Alzheimer Center Amsterdam, Department of Neurology Neuroscience, Vrije Universiteit Amsterdam UMC, Amsterdam Amsterdam Amsterdam Netherlands
| | | | - Afina W. Lemstra
- Alzheimer Center Amsterdam, Department of Neurology, Vrije Universiteit Amsterdam UMC Amsterdam Amsterdam Netherlands
| | - Yolande A.L. Pijnenburg
- Alzheimer Center Amsterdam Neuroscience, Vrije Universiteit Amsterdam UMC, Amsterdam Amsterdam Amsterdam Netherlands
| | - Wiesje M. van der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Vrije Universiteit Amsterdam UMC Amsterdam Amsterdam Netherlands
| | - Charlotte E. Teunissen
- Neurochemistry Laboratory, Amsterdam Neuroscience, Amsterdam University Medical Center Amsterdam Netherlands
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19
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Teunissen CE, Hansson O, van Harten AC. Enabling implementation of Blood based biomarkers in our healthcare systems. Alzheimers Dement 2022. [DOI: 10.1002/alz.066906] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Charlotte E. Teunissen
- Neurochemistry Laboratory, Amsterdam Neuroscience, Amsterdam University Medical Center Amsterdam Netherlands
| | - Oskar Hansson
- Clinical Memory Research Unit, Lund University Malmö Sweden
| | - Argonde C. van Harten
- Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
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20
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Vermunt L, Otte M, Verberk IMW, Killestein J, Lemstra AW, van der Flier WM, Pijnenburg YAL, Vijverberg EGB, Bouwman FH, Gravesteijn G, van de Berg WDJ, Scheltens P, van Harten AC, Willemse EAJ, Teunissen CE. Age- and disease-specific reference values for neurofilament light presented in an online interactive support interface. Ann Clin Transl Neurol 2022; 9:1832-1837. [PMID: 36196979 DOI: 10.1002/acn3.51676] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 09/12/2022] [Accepted: 09/26/2022] [Indexed: 11/07/2022] Open
Abstract
Interpretation of axonal damage biomarker Neurofilament Light chain (NfL) concentrations is difficult due to the lack of age-specific and disease-specific reference values. We here developed an interactive interface to support interpretation of NfL results in human body fluids. We used NfL values of 1698 individuals without a neurological disorder, aged 19-85 years, and patients with MS and dementias. Percentile regression estimates per diagnosis populate interactive graphs, alongside NfL background information (available on: https://mybiomarkers.shinyapps.io/Neurofilament). This accessible interface provides reference for interpretation of the individual patient results for clinicians. It showcases an adaptable method to support interpretation of age-dependent biomarkers in neurology.
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Affiliation(s)
- Lisa Vermunt
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.,Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Marco Otte
- Network Institute Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Inge M W Verberk
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Joep Killestein
- MS Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Afina W Lemstra
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.,Department of Epidemiology and Data Science, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Yolande A L Pijnenburg
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Everard G B Vijverberg
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Femke H Bouwman
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Gido Gravesteijn
- Department of Clinical Genetics and Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Wilma D J van de Berg
- Clinical Neuroanatomy and Biobanking, department of Anatomy and Neurosciences, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.,Life Science Partners (LSP), Amsterdam, The Netherlands
| | - Argonde C van Harten
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Eline A J Willemse
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Charlotte E Teunissen
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
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21
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Mank A, Rijnhart JJM, van Maurik IS, Jönsson L, Handels R, Bakker ED, Teunissen CE, van Berckel BNM, van Harten AC, Berkhof J, van der Flier WM. A longitudinal study on quality of life along the spectrum of Alzheimer's disease. Alzheimers Res Ther 2022; 14:132. [PMID: 36109800 PMCID: PMC9476356 DOI: 10.1186/s13195-022-01075-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Accepted: 09/06/2022] [Indexed: 11/10/2022]
Abstract
BACKGROUND Quality of life (QoL) is an important outcome from the perspective of patients and their caregivers, in both dementia and pre-dementia stages. Yet, little is known about the long-term changes in QoL over time. We aimed to compare the trajectories of QoL between amyloid-positive and amyloid-negative SCD or MCI patients and to evaluate QoL trajectories along the Alzheimer's disease (AD) continuum of cognitively normal to dementia. METHODS We included longitudinal data of 447 subjective cognitive decline (SCD), 276 mild cognitive impairment (MCI), and 417 AD dementia patients from the Amsterdam Dementia Cohort. We compared QoL trajectories (EQ-5D and visual analog scale (VAS)) between (1) amyloid-positive and amyloid-negative SCD or MCI patients and (2) amyloid-positive SCD, MCI, and dementia patients with linear mixed-effect models. The models were adjusted for age, sex, Charlson Comorbidity Index (CCI), education, and EQ-5D scale (3 or 5 level). RESULTS In SCD, amyloid-positive participants had a higher VAS at baseline but showed a steeper decline over time in EQ-5D and VAS than amyloid-negative participants. Also, in MCI, amyloid-positive patients had higher QoL at baseline but subsequently showed a steeper decline in QoL over time compared to amyloid-negative patients. When we compared amyloid-positive patients along the Alzheimer continuum, we found no difference between SCD, MCI, or dementia in baseline QoL, but QoL decreased at a faster rate in the dementia stage compared with the of SCD and MCI stages. CONCLUSIONS QoL decreased at a faster rate over time in amyloid-positive SCD or MCI patients than amyloid-negative patients. QoL decreases over time along the entire AD continuum of SCD, MCI and dementia, with the strongest decrease in dementia patients. Knowledge of QoL trajectories is essential for the future evaluation of treatments in AD.
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Affiliation(s)
- Arenda Mank
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, De Boelelaan 1118, 1081, HZ, Amsterdam, The Netherlands. .,Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands. .,Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Epidemiology and Data Science, Amsterdam Public Health Institute, Amsterdam, The Netherlands.
| | - Judith J M Rijnhart
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Epidemiology and Data Science, Amsterdam Public Health Institute, Amsterdam, The Netherlands
| | - Ingrid S van Maurik
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, De Boelelaan 1118, 1081, HZ, Amsterdam, The Netherlands.,Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands.,Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Epidemiology and Data Science, Amsterdam Public Health Institute, Amsterdam, The Netherlands
| | - Linus Jönsson
- Department for Neurobiology, Care Sciences and Society, Division of Neurogeriatrics, Karolinska Institutet, Solna, Sweden
| | - Ron Handels
- Department for Neurobiology, Care Sciences and Society, Division of Neurogeriatrics, Karolinska Institutet, Solna, Sweden.,Department of Psychiatry and Neuropsychology, Alzheimer Centre Limburg, School for Mental Health and Neurosciences, Maastricht University, Maastricht, The Netherlands
| | - Els D Bakker
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, De Boelelaan 1118, 1081, HZ, Amsterdam, The Netherlands.,Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Charlotte E Teunissen
- Neurochemistry Laboratory and Biobank, Department of Clinical Chemistry, Amsterdam Neuroscience, VU University Medical Center Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Bart N M van Berckel
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, De Boelelaan 1118, 1081, HZ, Amsterdam, The Netherlands.,Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands.,Department of Radiology & Nuclear Medicine Amsterdam Neuroscience Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Argonde C van Harten
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, De Boelelaan 1118, 1081, HZ, Amsterdam, The Netherlands.,Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Johannes Berkhof
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Epidemiology and Data Science, Amsterdam Public Health Institute, Amsterdam, The Netherlands
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, De Boelelaan 1118, 1081, HZ, Amsterdam, The Netherlands.,Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands.,Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Epidemiology and Data Science, Amsterdam Public Health Institute, Amsterdam, The Netherlands
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22
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Ebenau JL, Visser D, Kroeze LA, van Leeuwenstijn MSSA, van Harten AC, Windhorst AD, Golla SVS, Boellaard R, Scheltens P, Barkhof F, van Berckel BNM, van der Flier WM. Longitudinal change in ATN biomarkers in cognitively normal individuals. Alzheimers Res Ther 2022; 14:124. [PMID: 36057616 PMCID: PMC9440493 DOI: 10.1186/s13195-022-01069-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Accepted: 08/23/2022] [Indexed: 04/14/2023]
Abstract
BACKGROUND Biomarkers for amyloid, tau, and neurodegeneration (ATN) have predictive value for clinical progression, but it is not clear how individuals move through these stages. We examined changes in ATN profiles over time, and investigated determinants of change in A status, in a sample of cognitively normal individuals presenting with subjective cognitive decline (SCD). METHODS We included 92 individuals with SCD from the SCIENCe project with [18F]florbetapir PET (A) available at two time points (65 ± 8y, 42% female, MMSE 29 ± 1, follow-up 2.5 ± 0.7y). We additionally used [18F]flortaucipir PET for T and medial temporal atrophy score on MRI for N. Thirty-nine individuals had complete biomarker data at baseline and follow-up, enabling the construction of ATN profiles at two time points. All underwent extensive neuropsychological assessments (follow-up time 4.9 ± 2.8y, median number of visits n = 4). We investigated changes in biomarker status and ATN profiles over time. We assessed which factors predisposed for a change from A- to A+ using logistic regression. We additionally used linear mixed models to assess change from A- to A+, compared to the group that remained A- at follow-up, as predictor for cognitive decline. RESULTS At baseline, 62% had normal AD biomarkers (A-T-N- n = 24), 5% had non-AD pathologic change (A-T-N+ n = 2,) and 33% fell within the Alzheimer's continuum (A+T-N- n = 9, A+T+N- n = 3, A+T+N+ n = 1). Seventeen subjects (44%) changed to another ATN profile over time. Only 6/17 followed the Alzheimer's disease sequence of A → T → N, while 11/17 followed a different order (e.g., reverted back to negative biomarker status). APOE ε4 carriership inferred an increased risk of changing from A- to A+ (OR 5.2 (95% CI 1.2-22.8)). Individuals who changed from A- to A+, showed subtly steeper decline on Stroop I (β - 0.03 (SE 0.01)) and Stroop III (- 0.03 (0.01)), compared to individuals who remained A-. CONCLUSION We observed considerable variability in the order of ATN biomarkers becoming abnormal. Individuals who became A+ at follow-up showed subtle decline on tests for attention and executive functioning, confirming clinical relevance of amyloid positivity.
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Affiliation(s)
- Jarith L Ebenau
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands.
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands.
| | - Denise Visser
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
- Radiology & Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
| | - Lior A Kroeze
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Mardou S S A van Leeuwenstijn
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Argonde C van Harten
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Albert D Windhorst
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
- Radiology & Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
| | - Sandeep V S Golla
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
- Radiology & Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
| | - Ronald Boellaard
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
- Radiology & Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Frederik Barkhof
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
- Radiology & Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- UCL Institutes of Neurology and Healthcare Engineering, London, UK
| | - Bart N M van Berckel
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
- Radiology & Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
- Epidemiology & Data Science, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
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23
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van de Beek M, Ooms FAH, Ebenau JL, Barkhof F, Scheltens P, Teunissen CE, van Harten AC, van der Flier WM, Lemstra AW. Association of the ATN Research Framework With Clinical Profile, Ccognitive Decline, and Mortality in Patients With Dementia With Lewy Bodies. Neurology 2022; 98:e1262-e1272. [PMID: 35074893 DOI: 10.1212/wnl.0000000000200048] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Accepted: 12/30/2021] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND AND OBJECTIVES The ATN framework has been developed to categorize biological processes within the Alzheimer's disease (AD) continuum. Since AD pathology often coincides with dementia with Lewy Bodies (DLB), we aimed to investigate the distribution of ATN profiles in DLB and associate ATN-profiles in DLB to prognosis. METHODS We included 202 DLB patients from the Amsterdam Dementia Cohort (68±7yrs, 19%F, MMSE: 24±3, DAT-SPECT abnormal: 105/119). Patients were classified into eight profiles according to the ATN framework, using CSF Aβ42 (A), CSF p-tau (T) and medial temporal atrophy scores (N). We compared presence of clinical symptoms in ATN profiles and used linear mixed models to analyze decline on cognitive tests (follow-up 3±2yrs for n=139). Mortality risk was assessed using Cox proportional hazards analysis. Analyses were performed on both the eight profiles, as well as three clustered categories (normal AD biomarkers, non-AD pathologic change, AD continuum). RESULTS Fifty (25%) DLB patients had normal AD biomarkers (A-T-N-), 37 (18%) had non-AD pathologic change (A-T+N-: 10%/A-T-N+: 6%/A-T+N+: 3%) and 115 (57%) were classified within the AD continuum (A+T-N-: 20%/A+T+N-: 16%/A+T-N+: 10%/A+T+N+: 9%). A+T+N+ patients were older and least often had RBD symptoms. Parkinsonism was more often present in A+T-, compared to A-T+ (independent of N). Compared to patients with normal AD biomarkers, patients in A+ categories showed steeper decline on memory tests and higher mortality risk. Cognitive decline and mortality did not differ between non-AD pathologic change and normal AD biomarkers. DISCUSSION In our DLB cohort, we found clinically relevant associations between ATN categories and disease manifestation. Patients within the AD continuum had steeper cognitive decline and shorter survival. Implementing the ATN framework within DLB patients aids in subtyping patients based on underlying biological processes and could provide targets for future treatment strategies, e.g. AD modifying treatment. Expanding the framework by incorporating markers for alpha-synucleinopathy would improve the use of the framework to characterize dementia patients with mixed pathology, which could enhance proper stratification of patients for therapeutic trials.
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Affiliation(s)
- Marleen van de Beek
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Floor A H Ooms
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Jarith L Ebenau
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam UMC, Amsterdam, the Netherlands.,Institutes of Neurology and Healthcare Engineering, UCL, London, England, United Kingdom
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Charlotte E Teunissen
- Department of Neurochemistry, Department of Clinical Chemistry, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Argonde C van Harten
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.,Department of Epidemiology and Data Sciences, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Afina W Lemstra
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
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24
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van de Beek M, Ooms FA, Ebenau JL, Barkhof F, Scheltens P, Teunissen CE, van Harten AC, van der Flier WM, Lemstra AW. ATN classification in dementia with Lewy bodies: Association with clinical profile, cognitive decline and survival. Alzheimers Dement 2021. [DOI: 10.1002/alz.052056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- Marleen van de Beek
- Alzheimer Center Amsterdam Department of Neurology Amsterdam Neuroscience Vrije Universiteit Amsterdam Amsterdam UMC Amsterdam Netherlands
| | | | - Jarith L. Ebenau
- Alzheimer Center Amsterdam Department of Neurology Amsterdam Neuroscience Vrije Universiteit Amsterdam Amsterdam UMC Amsterdam Netherlands
| | - Frederik Barkhof
- Amsterdam UMC Amsterdam Netherlands
- Institutes of Neurology and Healthcare Engineering University College London London United Kingdom
- Department of Radiology and Nuclear Medicine Amsterdam Neuroscience Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
| | - Philip Scheltens
- Alzheimer Center Amsterdam Department of Neurology Amsterdam Neuroscience Vrije Universiteit Amsterdam, Amsterdam University Medical Center Amsterdam Netherlands
| | - Charlotte E. Teunissen
- Neurochemistry Lab Department of Clinical Chemistry Amsterdam Neuroscience Amsterdam UMC Amsterdam Amsterdam Netherlands
| | | | - Wiesje M van der Flier
- Alzheimer Center & Department of Neurology Neuroscience Campus Amsterdam VU University Medical Center Amsterdam Netherlands
| | - Afina W. Lemstra
- Alzheimer Center Amsterdam Department of Neurology Amsterdam Neuroscience Vrije Universiteit Amsterdam Amsterdam UMC Amsterdam Netherlands
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25
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van Harten AC, Wiste HJ, Weigand SD, Mielke MM, Kremers WK, Eichenlaub U, Dyer RB, Algeciras-Schimnich A, Knopman DS, Jack CR, Petersen RC. Detection of Alzheimer's disease amyloid beta 1-42, p-tau, and t-tau assays. Alzheimers Dement 2021; 18:635-644. [PMID: 34310035 PMCID: PMC9249966 DOI: 10.1002/alz.12406] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Revised: 04/07/2021] [Accepted: 05/06/2021] [Indexed: 11/25/2022]
Abstract
Introduction We aimed to provide cut points for the automated Elecsys Alzheimer's disease (AD) cerebrospinal fluid (CSF) biomarkers. Methods Cut points for Elecsys amyloid beta 42 (Aβ42), total tau (t‐tau), hyperphosphorylated tau (p‐tau), and t‐tau/Aβ42 and p‐tau/Aβ42 ratios were evaluated in Mayo Clinic Study of Aging (n = 804) and Mayo Clinic Alzheimer's Disease Research Center (n = 70) participants. Results The t‐tau/Aβ42 and p‐tau/Aβ42 ratios had a higher percent agreement with normal/abnormal amyloid positron emission tomography (PET) than the individual CSF markers. Reciever Operating Characteristic (ROC)‐based cut points were 0.26 (0.24–0.27) for t‐tau/Aβ42 and 0.023 (0.020–0.025) for p‐tau/Aβ42. Ratio cut points derived from other cohorts performed as well in our cohort as our own did. Individual biomarkers had worse diagnostic properties and more variable results in terms of positive and negative percent agreement (PPA and NPA). Conclusion CSF t‐tau/Aβ42 and p‐tau/Aβ42 ratios are very robust indicators of AD. For individual biomarkers, the intended use should determine which cut point is chosen.
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Affiliation(s)
- Argonde C van Harten
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA.,Department of Neurology and Alzheimer Center Amsterdam UMC, Amsterdam, the Netherlands
| | - Heather J Wiste
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
| | - Stephen D Weigand
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
| | - Michelle M Mielke
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA.,Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
| | - Walter K Kremers
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
| | - Udo Eichenlaub
- Roche Diagnostics International Ltd, Rotkreuz, Switzerland
| | - Roy B Dyer
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
| | | | - David S Knopman
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | - Clifford R Jack
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
| | - Ronald C Petersen
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA.,Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
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26
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Campbell MR, Ashrafzadeh‐Kian S, Petersen RC, Mielke MM, Syrjanen JA, van Harten AC, Lowe VJ, Jack CR, Bornhorst JA, Algeciras‐Schimnich A. P-tau/Aβ42 and Aβ42/40 ratios in CSF are equally predictive of amyloid PET status. Alzheimers Dement (Amst) 2021; 13:e12190. [PMID: 34027020 PMCID: PMC8129859 DOI: 10.1002/dad2.12190] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Revised: 03/29/2021] [Accepted: 03/31/2021] [Indexed: 11/07/2022]
Abstract
INTRODUCTION Measurement of amyloid beta (Aβ40 and Aβ42) and tau (phosphorylated tau [p-tau] and total tau [t-tau]) in cerebrospinal fluid (CSF) can be utilized to differentiate clinical and preclinical Alzheimer's disease dementia (AD) from other neurodegenerative processes. METHODS CSF biomarkers were measured in 150 participants from the Mayo Clinic Study of Aging and the Alzheimer's Disease Research Center. P-tau/Aβ42 (Roche Elecsys, Fujirebio LUMIPULSE) and Aβ42/40 (Fujirebio LUMIPULSE) ratios were compared to one another and to amyloid positron emission tomography (PET) classification. RESULTS Strong correlation was observed between LUMIPULSE p-tau/Aβ42 and Aβ42/40, as well as Elecsys and LUMIPULSE p-tau/Aβ42 and Aβ42/40 (Spearman's ρ = -0.827, -0.858, and 0.960, respectively). Concordance between LUMIPULSE p-tau/Aβ42 and Aβ42/40 was 96% and between Elecsys p-tau/Aβ42 and both LUMIPULSE ratios was 97%. All ratios had > 94% overall, positive, and negative percent agreement with amyloid PET classification. DISCUSSION These data suggest that p-tau/Aβ42 and Aβ42/40 ratios provide similar clinical information in the assessment of amyloid pathology.
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Affiliation(s)
| | | | | | - Michelle M. Mielke
- Department of Quantitative Health SciencesMayo ClinicRochesterMinnesotaUSA
- Department of NeurologyMayo ClinicRochesterMinnesotaUSA
| | - Jeremy A. Syrjanen
- Department of Quantitative Health SciencesMayo ClinicRochesterMinnesotaUSA
| | - Argonde C. van Harten
- Department of NeurologyMayo ClinicRochesterMinnesotaUSA
- Alzheimer Center and Neurochemical laboratoryAmsterdam UMCAmsterdamthe Netherlands
| | - Val J. Lowe
- Department of RadiologyMayo ClinicRochesterMinnesotaUSA
| | | | - Joshua A. Bornhorst
- Department of Laboratory Medicine and PathologyMayo ClinicRochesterMinnesotaUSA
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27
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Ebenau JL, Timmers T, Wesselman LMP, Verberk IMW, Verfaillie SCJ, Slot RER, van Harten AC, Teunissen CE, Barkhof F, van den Bosch KA, van Leeuwenstijn M, Tomassen J, Braber AD, Visser PJ, Prins ND, Sikkes SAM, Scheltens P, van Berckel BNM, van der Flier WM. ATN classification and clinical progression in subjective cognitive decline: The SCIENCe project. Neurology 2020; 95:e46-e58. [PMID: 32522798 PMCID: PMC7371376 DOI: 10.1212/wnl.0000000000009724] [Citation(s) in RCA: 89] [Impact Index Per Article: 22.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2019] [Accepted: 12/12/2019] [Indexed: 02/06/2023] Open
Abstract
Objective To investigate the relationship between the ATN classification system (amyloid, tau, neurodegeneration) and risk of dementia and cognitive decline in individuals with subjective cognitive decline (SCD). Methods We classified 693 participants with SCD (60 ± 9 years, 41% women, Mini-Mental State Examination score 28 ± 2) from the Amsterdam Dementia Cohort and Subjective Cognitive Impairment Cohort (SCIENCe) project according to the ATN model, as determined by amyloid PET or CSF β-amyloid (A), CSF p-tau (T), and MRI-based medial temporal lobe atrophy (N). All underwent extensive neuropsychological assessment. For 342 participants, follow-up was available (3 ± 2 years). As a control population, we included 124 participants without SCD. Results Fifty-six (n = 385) participants had normal Alzheimer disease (AD) biomarkers (A–T–N–), 27% (n = 186) had non-AD pathologic change (A–T–N+, A–T+N–, A–T+N+), 18% (n = 122) fell within the Alzheimer continuum (A+T–N–, A+T–N+, A+T+N–, A+T+N+). ATN profiles were unevenly distributed, with A–T+N+, A+T–N+, and A+T+N+ containing very few participants. Cox regression showed that compared to A–T–N–, participants in A+ profiles had a higher risk of dementia with a dose–response pattern for number of biomarkers affected. Linear mixed models showed participants in A+ profiles showed a steeper decline on tests addressing memory, attention, language, and executive functions. In the control group, there was no association between ATN and cognition. Conclusions Among individuals presenting with SCD at a memory clinic, those with a biomarker profile A–T+N+, A+T–N–, A+T+N–, and A+T+N+ were at increased risk of dementia, and showed steeper cognitive decline compared to A–T–N– individuals. These results suggest a future where biomarker results could be used for individualized risk profiling in cognitively normal individuals presenting at a memory clinic.
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Affiliation(s)
- Jarith L Ebenau
- From the Alzheimer Center, Department of Neurology (J.L.E., T.T., L.M.P.W., I.M.W.V., R.E.R.S., A.C.v.H., K.A.v.d.B., M.v.L., J.T., A.d.B., P.J.V., N.D.P., S.A.M.S., P.S., B.N.M.v.B., W.M.v.d.F.), and Department of Radiology & Nuclear Medicine (S.C.J.V., F.B., B.N.v.B.), Amsterdam Neuroscience, Neurochemistry Laboratory, Department of Clinical Chemistry (I.M.W.V., C.E.T.), and Department of Epidemiology & Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; UCL Institutes of Neurology and Healthcare Engineering (F.B.), London, UK; Department of Biological Psychology (A.d.B.), Neuroscience Amsterdam, VU University Amsterdam; Alzheimer Center Limburg (P.J.V.), School for Mental Health and Neuroscience, Maastricht University, the Netherlands; and Department of Neurobiology, Care Sciences and Society (P.J.V.), Division of Neurogeriatrics, Karolinska Institutet, Stockholm Sweden.
| | - Tessa Timmers
- From the Alzheimer Center, Department of Neurology (J.L.E., T.T., L.M.P.W., I.M.W.V., R.E.R.S., A.C.v.H., K.A.v.d.B., M.v.L., J.T., A.d.B., P.J.V., N.D.P., S.A.M.S., P.S., B.N.M.v.B., W.M.v.d.F.), and Department of Radiology & Nuclear Medicine (S.C.J.V., F.B., B.N.v.B.), Amsterdam Neuroscience, Neurochemistry Laboratory, Department of Clinical Chemistry (I.M.W.V., C.E.T.), and Department of Epidemiology & Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; UCL Institutes of Neurology and Healthcare Engineering (F.B.), London, UK; Department of Biological Psychology (A.d.B.), Neuroscience Amsterdam, VU University Amsterdam; Alzheimer Center Limburg (P.J.V.), School for Mental Health and Neuroscience, Maastricht University, the Netherlands; and Department of Neurobiology, Care Sciences and Society (P.J.V.), Division of Neurogeriatrics, Karolinska Institutet, Stockholm Sweden
| | - Linda M P Wesselman
- From the Alzheimer Center, Department of Neurology (J.L.E., T.T., L.M.P.W., I.M.W.V., R.E.R.S., A.C.v.H., K.A.v.d.B., M.v.L., J.T., A.d.B., P.J.V., N.D.P., S.A.M.S., P.S., B.N.M.v.B., W.M.v.d.F.), and Department of Radiology & Nuclear Medicine (S.C.J.V., F.B., B.N.v.B.), Amsterdam Neuroscience, Neurochemistry Laboratory, Department of Clinical Chemistry (I.M.W.V., C.E.T.), and Department of Epidemiology & Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; UCL Institutes of Neurology and Healthcare Engineering (F.B.), London, UK; Department of Biological Psychology (A.d.B.), Neuroscience Amsterdam, VU University Amsterdam; Alzheimer Center Limburg (P.J.V.), School for Mental Health and Neuroscience, Maastricht University, the Netherlands; and Department of Neurobiology, Care Sciences and Society (P.J.V.), Division of Neurogeriatrics, Karolinska Institutet, Stockholm Sweden
| | - Inge M W Verberk
- From the Alzheimer Center, Department of Neurology (J.L.E., T.T., L.M.P.W., I.M.W.V., R.E.R.S., A.C.v.H., K.A.v.d.B., M.v.L., J.T., A.d.B., P.J.V., N.D.P., S.A.M.S., P.S., B.N.M.v.B., W.M.v.d.F.), and Department of Radiology & Nuclear Medicine (S.C.J.V., F.B., B.N.v.B.), Amsterdam Neuroscience, Neurochemistry Laboratory, Department of Clinical Chemistry (I.M.W.V., C.E.T.), and Department of Epidemiology & Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; UCL Institutes of Neurology and Healthcare Engineering (F.B.), London, UK; Department of Biological Psychology (A.d.B.), Neuroscience Amsterdam, VU University Amsterdam; Alzheimer Center Limburg (P.J.V.), School for Mental Health and Neuroscience, Maastricht University, the Netherlands; and Department of Neurobiology, Care Sciences and Society (P.J.V.), Division of Neurogeriatrics, Karolinska Institutet, Stockholm Sweden
| | - Sander C J Verfaillie
- From the Alzheimer Center, Department of Neurology (J.L.E., T.T., L.M.P.W., I.M.W.V., R.E.R.S., A.C.v.H., K.A.v.d.B., M.v.L., J.T., A.d.B., P.J.V., N.D.P., S.A.M.S., P.S., B.N.M.v.B., W.M.v.d.F.), and Department of Radiology & Nuclear Medicine (S.C.J.V., F.B., B.N.v.B.), Amsterdam Neuroscience, Neurochemistry Laboratory, Department of Clinical Chemistry (I.M.W.V., C.E.T.), and Department of Epidemiology & Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; UCL Institutes of Neurology and Healthcare Engineering (F.B.), London, UK; Department of Biological Psychology (A.d.B.), Neuroscience Amsterdam, VU University Amsterdam; Alzheimer Center Limburg (P.J.V.), School for Mental Health and Neuroscience, Maastricht University, the Netherlands; and Department of Neurobiology, Care Sciences and Society (P.J.V.), Division of Neurogeriatrics, Karolinska Institutet, Stockholm Sweden
| | - Rosalinde E R Slot
- From the Alzheimer Center, Department of Neurology (J.L.E., T.T., L.M.P.W., I.M.W.V., R.E.R.S., A.C.v.H., K.A.v.d.B., M.v.L., J.T., A.d.B., P.J.V., N.D.P., S.A.M.S., P.S., B.N.M.v.B., W.M.v.d.F.), and Department of Radiology & Nuclear Medicine (S.C.J.V., F.B., B.N.v.B.), Amsterdam Neuroscience, Neurochemistry Laboratory, Department of Clinical Chemistry (I.M.W.V., C.E.T.), and Department of Epidemiology & Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; UCL Institutes of Neurology and Healthcare Engineering (F.B.), London, UK; Department of Biological Psychology (A.d.B.), Neuroscience Amsterdam, VU University Amsterdam; Alzheimer Center Limburg (P.J.V.), School for Mental Health and Neuroscience, Maastricht University, the Netherlands; and Department of Neurobiology, Care Sciences and Society (P.J.V.), Division of Neurogeriatrics, Karolinska Institutet, Stockholm Sweden
| | - Argonde C van Harten
- From the Alzheimer Center, Department of Neurology (J.L.E., T.T., L.M.P.W., I.M.W.V., R.E.R.S., A.C.v.H., K.A.v.d.B., M.v.L., J.T., A.d.B., P.J.V., N.D.P., S.A.M.S., P.S., B.N.M.v.B., W.M.v.d.F.), and Department of Radiology & Nuclear Medicine (S.C.J.V., F.B., B.N.v.B.), Amsterdam Neuroscience, Neurochemistry Laboratory, Department of Clinical Chemistry (I.M.W.V., C.E.T.), and Department of Epidemiology & Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; UCL Institutes of Neurology and Healthcare Engineering (F.B.), London, UK; Department of Biological Psychology (A.d.B.), Neuroscience Amsterdam, VU University Amsterdam; Alzheimer Center Limburg (P.J.V.), School for Mental Health and Neuroscience, Maastricht University, the Netherlands; and Department of Neurobiology, Care Sciences and Society (P.J.V.), Division of Neurogeriatrics, Karolinska Institutet, Stockholm Sweden
| | - Charlotte E Teunissen
- From the Alzheimer Center, Department of Neurology (J.L.E., T.T., L.M.P.W., I.M.W.V., R.E.R.S., A.C.v.H., K.A.v.d.B., M.v.L., J.T., A.d.B., P.J.V., N.D.P., S.A.M.S., P.S., B.N.M.v.B., W.M.v.d.F.), and Department of Radiology & Nuclear Medicine (S.C.J.V., F.B., B.N.v.B.), Amsterdam Neuroscience, Neurochemistry Laboratory, Department of Clinical Chemistry (I.M.W.V., C.E.T.), and Department of Epidemiology & Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; UCL Institutes of Neurology and Healthcare Engineering (F.B.), London, UK; Department of Biological Psychology (A.d.B.), Neuroscience Amsterdam, VU University Amsterdam; Alzheimer Center Limburg (P.J.V.), School for Mental Health and Neuroscience, Maastricht University, the Netherlands; and Department of Neurobiology, Care Sciences and Society (P.J.V.), Division of Neurogeriatrics, Karolinska Institutet, Stockholm Sweden
| | - Frederik Barkhof
- From the Alzheimer Center, Department of Neurology (J.L.E., T.T., L.M.P.W., I.M.W.V., R.E.R.S., A.C.v.H., K.A.v.d.B., M.v.L., J.T., A.d.B., P.J.V., N.D.P., S.A.M.S., P.S., B.N.M.v.B., W.M.v.d.F.), and Department of Radiology & Nuclear Medicine (S.C.J.V., F.B., B.N.v.B.), Amsterdam Neuroscience, Neurochemistry Laboratory, Department of Clinical Chemistry (I.M.W.V., C.E.T.), and Department of Epidemiology & Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; UCL Institutes of Neurology and Healthcare Engineering (F.B.), London, UK; Department of Biological Psychology (A.d.B.), Neuroscience Amsterdam, VU University Amsterdam; Alzheimer Center Limburg (P.J.V.), School for Mental Health and Neuroscience, Maastricht University, the Netherlands; and Department of Neurobiology, Care Sciences and Society (P.J.V.), Division of Neurogeriatrics, Karolinska Institutet, Stockholm Sweden
| | - Karlijn A van den Bosch
- From the Alzheimer Center, Department of Neurology (J.L.E., T.T., L.M.P.W., I.M.W.V., R.E.R.S., A.C.v.H., K.A.v.d.B., M.v.L., J.T., A.d.B., P.J.V., N.D.P., S.A.M.S., P.S., B.N.M.v.B., W.M.v.d.F.), and Department of Radiology & Nuclear Medicine (S.C.J.V., F.B., B.N.v.B.), Amsterdam Neuroscience, Neurochemistry Laboratory, Department of Clinical Chemistry (I.M.W.V., C.E.T.), and Department of Epidemiology & Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; UCL Institutes of Neurology and Healthcare Engineering (F.B.), London, UK; Department of Biological Psychology (A.d.B.), Neuroscience Amsterdam, VU University Amsterdam; Alzheimer Center Limburg (P.J.V.), School for Mental Health and Neuroscience, Maastricht University, the Netherlands; and Department of Neurobiology, Care Sciences and Society (P.J.V.), Division of Neurogeriatrics, Karolinska Institutet, Stockholm Sweden
| | - Mardou van Leeuwenstijn
- From the Alzheimer Center, Department of Neurology (J.L.E., T.T., L.M.P.W., I.M.W.V., R.E.R.S., A.C.v.H., K.A.v.d.B., M.v.L., J.T., A.d.B., P.J.V., N.D.P., S.A.M.S., P.S., B.N.M.v.B., W.M.v.d.F.), and Department of Radiology & Nuclear Medicine (S.C.J.V., F.B., B.N.v.B.), Amsterdam Neuroscience, Neurochemistry Laboratory, Department of Clinical Chemistry (I.M.W.V., C.E.T.), and Department of Epidemiology & Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; UCL Institutes of Neurology and Healthcare Engineering (F.B.), London, UK; Department of Biological Psychology (A.d.B.), Neuroscience Amsterdam, VU University Amsterdam; Alzheimer Center Limburg (P.J.V.), School for Mental Health and Neuroscience, Maastricht University, the Netherlands; and Department of Neurobiology, Care Sciences and Society (P.J.V.), Division of Neurogeriatrics, Karolinska Institutet, Stockholm Sweden
| | - Jori Tomassen
- From the Alzheimer Center, Department of Neurology (J.L.E., T.T., L.M.P.W., I.M.W.V., R.E.R.S., A.C.v.H., K.A.v.d.B., M.v.L., J.T., A.d.B., P.J.V., N.D.P., S.A.M.S., P.S., B.N.M.v.B., W.M.v.d.F.), and Department of Radiology & Nuclear Medicine (S.C.J.V., F.B., B.N.v.B.), Amsterdam Neuroscience, Neurochemistry Laboratory, Department of Clinical Chemistry (I.M.W.V., C.E.T.), and Department of Epidemiology & Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; UCL Institutes of Neurology and Healthcare Engineering (F.B.), London, UK; Department of Biological Psychology (A.d.B.), Neuroscience Amsterdam, VU University Amsterdam; Alzheimer Center Limburg (P.J.V.), School for Mental Health and Neuroscience, Maastricht University, the Netherlands; and Department of Neurobiology, Care Sciences and Society (P.J.V.), Division of Neurogeriatrics, Karolinska Institutet, Stockholm Sweden
| | - Anouk den Braber
- From the Alzheimer Center, Department of Neurology (J.L.E., T.T., L.M.P.W., I.M.W.V., R.E.R.S., A.C.v.H., K.A.v.d.B., M.v.L., J.T., A.d.B., P.J.V., N.D.P., S.A.M.S., P.S., B.N.M.v.B., W.M.v.d.F.), and Department of Radiology & Nuclear Medicine (S.C.J.V., F.B., B.N.v.B.), Amsterdam Neuroscience, Neurochemistry Laboratory, Department of Clinical Chemistry (I.M.W.V., C.E.T.), and Department of Epidemiology & Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; UCL Institutes of Neurology and Healthcare Engineering (F.B.), London, UK; Department of Biological Psychology (A.d.B.), Neuroscience Amsterdam, VU University Amsterdam; Alzheimer Center Limburg (P.J.V.), School for Mental Health and Neuroscience, Maastricht University, the Netherlands; and Department of Neurobiology, Care Sciences and Society (P.J.V.), Division of Neurogeriatrics, Karolinska Institutet, Stockholm Sweden
| | - Pieter Jelle Visser
- From the Alzheimer Center, Department of Neurology (J.L.E., T.T., L.M.P.W., I.M.W.V., R.E.R.S., A.C.v.H., K.A.v.d.B., M.v.L., J.T., A.d.B., P.J.V., N.D.P., S.A.M.S., P.S., B.N.M.v.B., W.M.v.d.F.), and Department of Radiology & Nuclear Medicine (S.C.J.V., F.B., B.N.v.B.), Amsterdam Neuroscience, Neurochemistry Laboratory, Department of Clinical Chemistry (I.M.W.V., C.E.T.), and Department of Epidemiology & Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; UCL Institutes of Neurology and Healthcare Engineering (F.B.), London, UK; Department of Biological Psychology (A.d.B.), Neuroscience Amsterdam, VU University Amsterdam; Alzheimer Center Limburg (P.J.V.), School for Mental Health and Neuroscience, Maastricht University, the Netherlands; and Department of Neurobiology, Care Sciences and Society (P.J.V.), Division of Neurogeriatrics, Karolinska Institutet, Stockholm Sweden
| | - Niels D Prins
- From the Alzheimer Center, Department of Neurology (J.L.E., T.T., L.M.P.W., I.M.W.V., R.E.R.S., A.C.v.H., K.A.v.d.B., M.v.L., J.T., A.d.B., P.J.V., N.D.P., S.A.M.S., P.S., B.N.M.v.B., W.M.v.d.F.), and Department of Radiology & Nuclear Medicine (S.C.J.V., F.B., B.N.v.B.), Amsterdam Neuroscience, Neurochemistry Laboratory, Department of Clinical Chemistry (I.M.W.V., C.E.T.), and Department of Epidemiology & Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; UCL Institutes of Neurology and Healthcare Engineering (F.B.), London, UK; Department of Biological Psychology (A.d.B.), Neuroscience Amsterdam, VU University Amsterdam; Alzheimer Center Limburg (P.J.V.), School for Mental Health and Neuroscience, Maastricht University, the Netherlands; and Department of Neurobiology, Care Sciences and Society (P.J.V.), Division of Neurogeriatrics, Karolinska Institutet, Stockholm Sweden
| | - Sietske A M Sikkes
- From the Alzheimer Center, Department of Neurology (J.L.E., T.T., L.M.P.W., I.M.W.V., R.E.R.S., A.C.v.H., K.A.v.d.B., M.v.L., J.T., A.d.B., P.J.V., N.D.P., S.A.M.S., P.S., B.N.M.v.B., W.M.v.d.F.), and Department of Radiology & Nuclear Medicine (S.C.J.V., F.B., B.N.v.B.), Amsterdam Neuroscience, Neurochemistry Laboratory, Department of Clinical Chemistry (I.M.W.V., C.E.T.), and Department of Epidemiology & Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; UCL Institutes of Neurology and Healthcare Engineering (F.B.), London, UK; Department of Biological Psychology (A.d.B.), Neuroscience Amsterdam, VU University Amsterdam; Alzheimer Center Limburg (P.J.V.), School for Mental Health and Neuroscience, Maastricht University, the Netherlands; and Department of Neurobiology, Care Sciences and Society (P.J.V.), Division of Neurogeriatrics, Karolinska Institutet, Stockholm Sweden
| | - Philip Scheltens
- From the Alzheimer Center, Department of Neurology (J.L.E., T.T., L.M.P.W., I.M.W.V., R.E.R.S., A.C.v.H., K.A.v.d.B., M.v.L., J.T., A.d.B., P.J.V., N.D.P., S.A.M.S., P.S., B.N.M.v.B., W.M.v.d.F.), and Department of Radiology & Nuclear Medicine (S.C.J.V., F.B., B.N.v.B.), Amsterdam Neuroscience, Neurochemistry Laboratory, Department of Clinical Chemistry (I.M.W.V., C.E.T.), and Department of Epidemiology & Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; UCL Institutes of Neurology and Healthcare Engineering (F.B.), London, UK; Department of Biological Psychology (A.d.B.), Neuroscience Amsterdam, VU University Amsterdam; Alzheimer Center Limburg (P.J.V.), School for Mental Health and Neuroscience, Maastricht University, the Netherlands; and Department of Neurobiology, Care Sciences and Society (P.J.V.), Division of Neurogeriatrics, Karolinska Institutet, Stockholm Sweden
| | - Bart N M van Berckel
- From the Alzheimer Center, Department of Neurology (J.L.E., T.T., L.M.P.W., I.M.W.V., R.E.R.S., A.C.v.H., K.A.v.d.B., M.v.L., J.T., A.d.B., P.J.V., N.D.P., S.A.M.S., P.S., B.N.M.v.B., W.M.v.d.F.), and Department of Radiology & Nuclear Medicine (S.C.J.V., F.B., B.N.v.B.), Amsterdam Neuroscience, Neurochemistry Laboratory, Department of Clinical Chemistry (I.M.W.V., C.E.T.), and Department of Epidemiology & Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; UCL Institutes of Neurology and Healthcare Engineering (F.B.), London, UK; Department of Biological Psychology (A.d.B.), Neuroscience Amsterdam, VU University Amsterdam; Alzheimer Center Limburg (P.J.V.), School for Mental Health and Neuroscience, Maastricht University, the Netherlands; and Department of Neurobiology, Care Sciences and Society (P.J.V.), Division of Neurogeriatrics, Karolinska Institutet, Stockholm Sweden
| | - Wiesje M van der Flier
- From the Alzheimer Center, Department of Neurology (J.L.E., T.T., L.M.P.W., I.M.W.V., R.E.R.S., A.C.v.H., K.A.v.d.B., M.v.L., J.T., A.d.B., P.J.V., N.D.P., S.A.M.S., P.S., B.N.M.v.B., W.M.v.d.F.), and Department of Radiology & Nuclear Medicine (S.C.J.V., F.B., B.N.v.B.), Amsterdam Neuroscience, Neurochemistry Laboratory, Department of Clinical Chemistry (I.M.W.V., C.E.T.), and Department of Epidemiology & Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; UCL Institutes of Neurology and Healthcare Engineering (F.B.), London, UK; Department of Biological Psychology (A.d.B.), Neuroscience Amsterdam, VU University Amsterdam; Alzheimer Center Limburg (P.J.V.), School for Mental Health and Neuroscience, Maastricht University, the Netherlands; and Department of Neurobiology, Care Sciences and Society (P.J.V.), Division of Neurogeriatrics, Karolinska Institutet, Stockholm Sweden
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Verberk IMW, Hendriksen HMA, van Harten AC, Wesselman LMP, Verfaillie SCJ, van den Bosch KA, Slot RER, Prins ND, Scheltens P, Teunissen CE, Van der Flier WM. Plasma amyloid is associated with the rate of cognitive decline in cognitively normal elderly: the SCIENCe project. Neurobiol Aging 2020; 89:99-107. [PMID: 32081465 DOI: 10.1016/j.neurobiolaging.2020.01.007] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2019] [Revised: 12/12/2019] [Accepted: 01/13/2020] [Indexed: 12/16/2022]
Abstract
Plasma biomarkers are promising prognostic tools in individuals with subjective cognitive decline (SCD). We aimed to investigate the relationships of baseline plasma amyloid beta (Aβ)42/Aβ40 and total Tau (tTau) with rate of cognitive decline, in comparison to relationships of baseline cerebrospinal fluid (CSF) Aβ42, tTau, and phosphorylated tau181 (pTau181) with rate of cognitive decline. We included 241 subjects with SCD (age = 61 ± 9, 40% female, Mini-Mental State Examination = 28 ± 2) with follow-up (average: 2 ± 2 years, median visits: 3 [range: 1-11]) for re-evaluation of neuropsychological test performance (attention, memory, language, and executive functioning domains). Using age, gender and education-adjusted linear mixed models, we found that lower plasma Aβ42/Aβ40 was associated with steeper rate of decline on tests for attention, memory, and executive functioning, but not language. Lower CSF Aβ42 was associated with steeper decline on tests covering all domains. Associations for plasma amyloid and cognitive decline mirror those of CSF amyloid. Plasma tTau was not associated with rate of cognitive decline, whereas CSF tTau and pTau181 were on multiple tests covering all domains.
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Affiliation(s)
- Inge M W Verberk
- Alzheimer Center, Department of Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands; Neurochemistry Laboratory, Department of Clinical Chemistry, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands.
| | - Heleen M A Hendriksen
- Alzheimer Center, Department of Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Argonde C van Harten
- Alzheimer Center, Department of Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Linda M P Wesselman
- Alzheimer Center, Department of Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Sander C J Verfaillie
- Alzheimer Center, Department of Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Karlijn A van den Bosch
- Alzheimer Center, Department of Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Rosalinde E R Slot
- Alzheimer Center, Department of Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Niels D Prins
- Alzheimer Center, Department of Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Philip Scheltens
- Alzheimer Center, Department of Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Charlotte E Teunissen
- Neurochemistry Laboratory, Department of Clinical Chemistry, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Wiesje M Van der Flier
- Alzheimer Center, Department of Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands; Department of Epidemiology and Biostatistics, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
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Kern S, Syrjanen JA, Blennow K, Zetterberg H, Skoog I, Waern M, Hagen CE, van Harten AC, Knopman DS, Jack CR, Petersen RC, Mielke MM. Association of Cerebrospinal Fluid Neurofilament Light Protein With Risk of Mild Cognitive Impairment Among Individuals Without Cognitive Impairment. JAMA Neurol 2019; 76:187-193. [PMID: 30419087 DOI: 10.1001/jamaneurol.2018.3459] [Citation(s) in RCA: 60] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Importance Accumulating data suggest that elevated cerebrospinal fluid (CSF) neurofilament light (NfL) and neurogranin (Ng) levels are associated with cognitive decline and may be useful markers of neurodegeneration. However, to our knowledge, previous studies have not assessed these CSF markers in the community, evaluated them with regards to risk of mild cognitive impairment (MCI), or compared their prognostic value with CSF total tau (T-tau) or phosphorylated tau (P-tau). Objective To determine (1) whether CSF NfL and Ng levels were associated with risk of MCI, (2) the effect size of these markers compared with CSF T-tau or P-tau for risk of MCI, and (3) whether CSF amyloid-β (Aβ42) modified these associations. Design, Setting and Participants The analyses included 648 participants without cognitive impairment who were enrolled into the prospective population-based Mayo Clinic Study of Aging between January 2004 and December 2015 with available CSF data and at least 1 follow-up visit. Participants were followed up for a median of 3.8 years (interquartile range, 2.6-5.4 years). The CSF NfL and Ng levels were measured using an in-house sandwich enzyme-linked immunosorbent assay. The CSF Aβ42, T-tau, and P-tau levels were measured with automated electrochemiluminescence immunoassays. Cox proportional hazards models, with age as the timescale, were used to assess the association between CSF NfL, Ng, Aβ42, T-tau, or P-tau with risk of MCI after adjusting for sex, education, apolipoprotein E genotype, and the Charlson comorbidity index. To examine CSF Aβ42 as an effect modifier, it was categorized into tertiles; the bottom tertile was defined as having elevated brain amyloid. Main Outcomes and Measures Risk of MCI. Results At baseline, the median age of the 648 participants without cognitive impairment was 72.3 years (range, 50.7-95.3 years) and 366 (56.5%) were men; 96 (14.8%) developed incident MCI. Compared with the bottom quartile, the top quartile of CSF NfL was associated with a 3.1-fold increased risk of MCI (hazard ratio, 3.13; 95% CI, 1.36-7.18) in multivariate models. Neither CSF T-tau, P-tau, nor Ng was associated with risk of MCI. There was no interaction between Aβ42 and CSF NfL for risk of MCI. Conclusions and Relevance Elevated CSF NfL levels but not CSF T-tau, P-tau or Ng are a risk factor for MCI in a community population and are independent of brain amyloid.
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Affiliation(s)
- Silke Kern
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota.,Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,University of Gothenburg, Mölndal, Sweden
| | - Jeremy A Syrjanen
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.,Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the Institute of Neurology, University College London, Queen Square, London, England.,United Kingdom Dementia Research Institute at University College London, London, England
| | - Ingmar Skoog
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,University of Gothenburg, Mölndal, Sweden
| | - Margda Waern
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,University of Gothenburg, Mölndal, Sweden
| | - Clinton E Hagen
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
| | - Argonde C van Harten
- Department of Neurology, Mayo Clinic, Rochester, Minnesota.,Alzheimer Center, VU University Medical Center, Amsterdam, the Netherlands
| | | | | | | | - Michelle M Mielke
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota.,Department of Neurology, Mayo Clinic, Rochester, Minnesota
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Tijms BM, Vermunt L, Zwan MD, van Harten AC, van der Flier WM, Teunissen CE, Scheltens P, Visser PJ. Pre-amyloid stage of Alzheimer's disease in cognitively normal individuals. Ann Clin Transl Neurol 2018; 5:1037-1047. [PMID: 30250861 PMCID: PMC6144448 DOI: 10.1002/acn3.615] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2018] [Accepted: 06/11/2018] [Indexed: 12/03/2022] Open
Abstract
OBJECTIVE To study risk factors for decreasing aβ1-42 concentrations in cerebrospinal fluid (CSF) in cognitively unimpaired individuals with initially normal amyloid and tau markers, and to investigate whether such aβ1-42 decreases are associated with subsequent decline in cognition and other biomarkers of Alzheimer's disease. METHODS Cognitively normal subjects (n = 83, 75 ± 5 years, 35(42%) female) with normal CSF aβ1-42 and tau and repeated CSF sampling were selected from ADNI. Subject level slopes of aβ1-42 decreases were estimated with mixed models. We tested associations of baseline APP processing markers (BACE1 activity, aβ1-40, aβ1-38 and sAPP β) and decreasing aβ1-42 levels by including an interaction term between time and APP marker. Associations between decreasing aβ1-42 levels and clinical decline (i.e., progression to mild cognitive impairment or dementia, MMSE, memory functioning) and biological decline (tau, hippocampal volume, glucose processing and amyloid PET) over a time period of 8-10 years were assessed. RESULTS Aβ1-42 levels decreased annually with -4.6 ± 1 pg/mL. Higher baseline BACE1 activity (β(se) = -0.06(0.03), P < 0.05), aβ1-40 (β(se)= -0.11(.03), P < 0.001), and aβ1-38 levels (β(se) = -0.11(0.03), P < 0.001) predicted faster decreasing aβ1-42. The fastest tertile of decreasing aβ1-42 rates was associated with subsequent pathophysiological processes: 11(14%) subjects developed abnormal amyloid levels after 3 ± 1.7 years, showed increased risk for clinical progression (Hazard Ratio[95CI] = 4.8[1.1-21.0]), decreases in MMSE, glucose metabolism and hippocampal volume, and increased CSF tau and amyloid aggregation on PET (all P < 0.05). INTERPRETATION Higher APP processing and fast decreasing aβ1-42 could be among the earliest, pre-amyloid, pathological changes in Alzheimer's disease.
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Affiliation(s)
- Betty M. Tijms
- Alzheimer CenterDepartment of NeurologyVU University Medical CenterAmsterdam NeuroscienceAmsterdamThe Netherlands
| | - Lisa Vermunt
- Alzheimer CenterDepartment of NeurologyVU University Medical CenterAmsterdam NeuroscienceAmsterdamThe Netherlands
| | - Marissa D. Zwan
- Alzheimer CenterDepartment of NeurologyVU University Medical CenterAmsterdam NeuroscienceAmsterdamThe Netherlands
| | - Argonde C. van Harten
- Alzheimer CenterDepartment of NeurologyVU University Medical CenterAmsterdam NeuroscienceAmsterdamThe Netherlands
| | - Wiesje M. van der Flier
- Alzheimer CenterDepartment of NeurologyVU University Medical CenterAmsterdam NeuroscienceAmsterdamThe Netherlands
- Department of Epidemiology and BiostatisticsVU University Medical CenterAmsterdam NeuroscienceAmsterdamThe Netherlands
| | - Charlotte E. Teunissen
- Department of Epidemiology and BiostatisticsVU University Medical CenterAmsterdam NeuroscienceAmsterdamThe Netherlands
| | - Philip Scheltens
- Alzheimer CenterDepartment of NeurologyVU University Medical CenterAmsterdam NeuroscienceAmsterdamThe Netherlands
| | - Pieter Jelle Visser
- Alzheimer CenterDepartment of NeurologyVU University Medical CenterAmsterdam NeuroscienceAmsterdamThe Netherlands
- Department of Psychiatry & NeuropsychologySchool for Mental Health and NeuroscienceMaastricht UniversityMaastrichtThe Netherlands
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van Harten AC, Mielke MM, Swenson-Dravis DM, Hagen CE, Edwards KK, Roberts RO, Geda YE, Knopman DS, Petersen RC. Subjective cognitive decline and risk of MCI: The Mayo Clinic Study of Aging. Neurology 2018; 91:e300-e312. [PMID: 29959257 PMCID: PMC6070384 DOI: 10.1212/wnl.0000000000005863] [Citation(s) in RCA: 155] [Impact Index Per Article: 25.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2017] [Accepted: 04/13/2018] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE We investigated different dimensions of subjective cognitive decline (SCD) to determine which was the best prognostic risk factor for incident mild cognitive impairment (MCI) among cognitively unimpaired participants. METHODS We included 1,167 cognitively unimpaired participants, aged 70 to 95 years, from the Mayo Clinic Study of Aging based on 2 concurrent SCD scales (part of the Blessed memory test and the 39-item Everyday Cognition [ECog] scale, which included a validated 12-item derivative) and a single question assessing worry about cognitive decline. We evaluated multiple ways to dichotomize scores. In continuous models, we compared average scores on 4 ECog domains and multidomain (39- and 12-item) ECog scores. Cox proportional hazards models were used to assess the association between each measure and risk of MCI in models adjusted for objective memory performance, depression, anxiety, sex, APOE ε4 carriership, and medical comorbidities. RESULTS It was possible to select a substantial group of participants (14%) at increased risk of incident MCI based on combined baseline endorsement of any consistent SCD on the ECog (any item scored ≥3; 12-item ECog hazard ratio [HR] 2.17 [95% confidence interval 1.51-3.13]) and worry (HR 1.79 [1.24-2.58]) in an adjusted model combining these dimensions. In continuous models, all ECog domains and the multidomain scores were associated with risk of MCI with a small advantage for multidomain SCD (12-item ECog HR 2.13 [1.36-3.35] per point increase in average score). Information provided by the informant performed comparable to self-perceived SCD. CONCLUSION Prognostic value of SCD for incident MCI improves when both consistency of SCD and associated worry are evaluated.
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Affiliation(s)
- Argonde C van Harten
- From the Alzheimer Center (A.C.v.H.), VU University Medical Center, Amsterdam, the Netherlands; Behavioral Neurology, Department of Neurology (A.C.v.H., D.S.K., R.C.P.), Division of Epidemiology, Department of Health Sciences Research (M.M.M., C.E.H., K.K.E., R.O.R., Y.E.G.), and Department of Neurology (M.M.M., D.M.S.-D.), Mayo Clinic, Rochester, MN; Mayo Clinic Translational Neuroscience and Aging Program (Y.E.G.), and Departments of Psychiatry and Psychology (Y.E.G.) and Neurology (Y.E.G.), Mayo Clinic, Scottsdale, AZ.
| | - Michelle M Mielke
- From the Alzheimer Center (A.C.v.H.), VU University Medical Center, Amsterdam, the Netherlands; Behavioral Neurology, Department of Neurology (A.C.v.H., D.S.K., R.C.P.), Division of Epidemiology, Department of Health Sciences Research (M.M.M., C.E.H., K.K.E., R.O.R., Y.E.G.), and Department of Neurology (M.M.M., D.M.S.-D.), Mayo Clinic, Rochester, MN; Mayo Clinic Translational Neuroscience and Aging Program (Y.E.G.), and Departments of Psychiatry and Psychology (Y.E.G.) and Neurology (Y.E.G.), Mayo Clinic, Scottsdale, AZ
| | - Dana M Swenson-Dravis
- From the Alzheimer Center (A.C.v.H.), VU University Medical Center, Amsterdam, the Netherlands; Behavioral Neurology, Department of Neurology (A.C.v.H., D.S.K., R.C.P.), Division of Epidemiology, Department of Health Sciences Research (M.M.M., C.E.H., K.K.E., R.O.R., Y.E.G.), and Department of Neurology (M.M.M., D.M.S.-D.), Mayo Clinic, Rochester, MN; Mayo Clinic Translational Neuroscience and Aging Program (Y.E.G.), and Departments of Psychiatry and Psychology (Y.E.G.) and Neurology (Y.E.G.), Mayo Clinic, Scottsdale, AZ
| | - Clinton E Hagen
- From the Alzheimer Center (A.C.v.H.), VU University Medical Center, Amsterdam, the Netherlands; Behavioral Neurology, Department of Neurology (A.C.v.H., D.S.K., R.C.P.), Division of Epidemiology, Department of Health Sciences Research (M.M.M., C.E.H., K.K.E., R.O.R., Y.E.G.), and Department of Neurology (M.M.M., D.M.S.-D.), Mayo Clinic, Rochester, MN; Mayo Clinic Translational Neuroscience and Aging Program (Y.E.G.), and Departments of Psychiatry and Psychology (Y.E.G.) and Neurology (Y.E.G.), Mayo Clinic, Scottsdale, AZ
| | - Kelly K Edwards
- From the Alzheimer Center (A.C.v.H.), VU University Medical Center, Amsterdam, the Netherlands; Behavioral Neurology, Department of Neurology (A.C.v.H., D.S.K., R.C.P.), Division of Epidemiology, Department of Health Sciences Research (M.M.M., C.E.H., K.K.E., R.O.R., Y.E.G.), and Department of Neurology (M.M.M., D.M.S.-D.), Mayo Clinic, Rochester, MN; Mayo Clinic Translational Neuroscience and Aging Program (Y.E.G.), and Departments of Psychiatry and Psychology (Y.E.G.) and Neurology (Y.E.G.), Mayo Clinic, Scottsdale, AZ
| | - Rosebud O Roberts
- From the Alzheimer Center (A.C.v.H.), VU University Medical Center, Amsterdam, the Netherlands; Behavioral Neurology, Department of Neurology (A.C.v.H., D.S.K., R.C.P.), Division of Epidemiology, Department of Health Sciences Research (M.M.M., C.E.H., K.K.E., R.O.R., Y.E.G.), and Department of Neurology (M.M.M., D.M.S.-D.), Mayo Clinic, Rochester, MN; Mayo Clinic Translational Neuroscience and Aging Program (Y.E.G.), and Departments of Psychiatry and Psychology (Y.E.G.) and Neurology (Y.E.G.), Mayo Clinic, Scottsdale, AZ
| | - Yonas E Geda
- From the Alzheimer Center (A.C.v.H.), VU University Medical Center, Amsterdam, the Netherlands; Behavioral Neurology, Department of Neurology (A.C.v.H., D.S.K., R.C.P.), Division of Epidemiology, Department of Health Sciences Research (M.M.M., C.E.H., K.K.E., R.O.R., Y.E.G.), and Department of Neurology (M.M.M., D.M.S.-D.), Mayo Clinic, Rochester, MN; Mayo Clinic Translational Neuroscience and Aging Program (Y.E.G.), and Departments of Psychiatry and Psychology (Y.E.G.) and Neurology (Y.E.G.), Mayo Clinic, Scottsdale, AZ
| | - David S Knopman
- From the Alzheimer Center (A.C.v.H.), VU University Medical Center, Amsterdam, the Netherlands; Behavioral Neurology, Department of Neurology (A.C.v.H., D.S.K., R.C.P.), Division of Epidemiology, Department of Health Sciences Research (M.M.M., C.E.H., K.K.E., R.O.R., Y.E.G.), and Department of Neurology (M.M.M., D.M.S.-D.), Mayo Clinic, Rochester, MN; Mayo Clinic Translational Neuroscience and Aging Program (Y.E.G.), and Departments of Psychiatry and Psychology (Y.E.G.) and Neurology (Y.E.G.), Mayo Clinic, Scottsdale, AZ
| | - Ronald C Petersen
- From the Alzheimer Center (A.C.v.H.), VU University Medical Center, Amsterdam, the Netherlands; Behavioral Neurology, Department of Neurology (A.C.v.H., D.S.K., R.C.P.), Division of Epidemiology, Department of Health Sciences Research (M.M.M., C.E.H., K.K.E., R.O.R., Y.E.G.), and Department of Neurology (M.M.M., D.M.S.-D.), Mayo Clinic, Rochester, MN; Mayo Clinic Translational Neuroscience and Aging Program (Y.E.G.), and Departments of Psychiatry and Psychology (Y.E.G.) and Neurology (Y.E.G.), Mayo Clinic, Scottsdale, AZ
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van Harten AC, Mulders J, Scheltens P, van der Flier WM, Oudejans CBM. Differential Expression of microRNA in Cerebrospinal Fluid as a Potential Novel Biomarker for Alzheimer's Disease. J Alzheimers Dis 2016; 47:243-52. [PMID: 26402772 DOI: 10.3233/jad-140075] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
BACKGROUND AND OBJECTIVE The need to find a better reflection of Alzheimer's disease (AD) pathophysiology led us to investigate differential expression of microRNA (miRNA) in cerebrospinal fluid (CSF) of AD patients compared to matched controls, using a genome-wide data-driven approach. METHODS From the Amsterdam Dementia Cohort, we selected 19 AD patients with CSF indicative of AD pathophysiology and 19 age and gender-matched controls without CSF evidence of AD (67 ± 6 years old, 20 [53%] female). We measured 754 miRNA in CSF using qRT-PCR (Taqman Array MicroRNA cards A and B, v3.0) according to the Megaplex Taqman protocol. Hierarchical cluster analysis was performed and groups were compared using Linear Models for Microarray Data, a modified t-test. We performed validation analysis using qRT-PCR single assays. RESULTS 144 ± 66 miRNA could be detected using Megaplex array analysis (19% ). Mean Ct (average 32.4 ± 0.5) was correlated to age (r = 0.52, p = 0.001). Five miRNA were differentially expressed in CSF of AD patients. None of these could be replicated. After stratification by age, seven miRNA showed differential expression in late-onset AD, of which lower abundance of let-7a was replicated (log10RQ -1.46, p < 0.05). In early-onset AD, twelve miRNA were differentially expressed of which lower abundance of miRNA-532-3p remained borderline significant (log10RQ -1.27, p = 0.05). CONCLUSION Although we could not consistently separate AD patients and controls in the whole group, we have found indications miRNA in CSF are able to reflect aging and perhaps also heterogeneity in AD. Further investigation requires optimizing RNA input, while maintaining strict age matching.
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Affiliation(s)
- Argonde C van Harten
- Alzheimer Center, VU University Medical Center, Amsterdam, The Netherlands.,Departments of Neurology, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Joyce Mulders
- Department of Clinical Chemistry, VU University Medical Center, Amsterdam, The Netherlands
| | - Philip Scheltens
- Alzheimer Center, VU University Medical Center, Amsterdam, The Netherlands.,Departments of Neurology, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Wiesje M van der Flier
- Alzheimer Center, VU University Medical Center, Amsterdam, The Netherlands.,Departments of Neurology, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands.,Department of Epidemiology/Biostatistics, VU University Medical Center, Amsterdam, The Netherlands
| | - Cees B M Oudejans
- Department of Clinical Chemistry, VU University Medical Center, Amsterdam, The Netherlands
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Toledo JB, Zetterberg H, van Harten AC, Glodzik L, Martinez-Lage P, Bocchio-Chiavetto L, Rami L, Hansson O, Sperling R, Engelborghs S, Osorio RS, Vanderstichele H, Vandijck M, Hampel H, Teipl S, Moghekar A, Albert M, Hu WT, Monge Argilés JA, Gorostidi A, Teunissen CE, De Deyn PP, Hyman BT, Molinuevo JL, Frisoni GB, Linazasoro G, de Leon MJ, van der Flier WM, Scheltens P, Blennow K, Shaw LM, Trojanowski JQ. Alzheimer's disease cerebrospinal fluid biomarker in cognitively normal subjects. Brain 2015. [PMID: 26220940 DOI: 10.1093/brain/awv199] [Citation(s) in RCA: 105] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
In a large multicentre sample of cognitively normal subjects, as a function of age, gender and APOE genotype, we studied the frequency of abnormal cerebrospinal fluid levels of Alzheimer's disease biomarkers including: total tau, phosphorylated tau and amyloid-β1-42. Fifteen cohorts from 12 different centres with either enzyme-linked immunosorbent assays or Luminex® measurements were selected for this study. Each centre sent nine new cerebrospinal fluid aliquots that were used to measure total tau, phosphorylated tau and amyloid-β1-42 in the Gothenburg laboratory. Seven centres showed a high correlation with the new Gothenburg measurements; therefore, 10 cohorts from these centres are included in the analyses here (1233 healthy control subjects, 40-84 years old). Amyloid-β amyloid status (negative or positive) and neurodegeneration status (negative or positive) was established based on the pathological cerebrospinal fluid Alzheimer's disease cut-off values for cerebrospinal fluid amyloid-β1-42 and total tau, respectively. While gender did not affect these biomarker values, APOE genotype modified the age-associated changes in cerebrospinal fluid biomarkers such that APOE ε4 carriers showed stronger age-related changes in cerebrospinal fluid phosphorylated tau, total tau and amyloid-β1-42 values and APOE ε2 carriers showed the opposite effect. At 40 years of age, 76% of the subjects were classified as amyloid negative, neurodegeneration negative and their frequency decreased to 32% at 85 years. The amyloid-positive neurodegeneration-negative group remained stable. The amyloid-negative neurodegeneration-positive group frequency increased slowly from 1% at 44 years to 16% at 85 years, but its frequency was not affected by APOE genotype. The amyloid-positive neurodegeneration-positive frequency increased from 1% at 53 years to 28% at 85 years. Abnormally low cerebrospinal fluid amyloid-β1-42 levels were already frequent in midlife and APOE genotype strongly affects the levels of cerebrospinal fluid amyloid-β1-42, phosphorylated tau and total tau across the lifespan without influencing the frequency of subjects with suspected non-amyloid pathology.
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Affiliation(s)
- Jon B Toledo
- 1 Department of Pathology and Laboratory Medicine, Institute on Aging, Centre for Neurodegenerative Disease Research, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Henrik Zetterberg
- 2 Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden 3 UCL Institute of Neurology, Department of Molecular Neuroscience, Queen Square, London, UK
| | - Argonde C van Harten
- 4 Alzheimer Centre and Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Centre, Amsterdam, The Netherlands
| | - Lidia Glodzik
- 5 Centre for Brain Health, Department of Psychiatry, New York University School of Medicine, New York, USA
| | - Pablo Martinez-Lage
- 6 Department of Neurology, Centre for Research and Advanced Therapies. Fundación CITA-Alzheimer Fundazioa, Donostia/San Sebastián, Spain
| | - Luisella Bocchio-Chiavetto
- 7 IRCCS Centro San Giovanni di Dio FBF, Brescia, Italy 8 Faculty of Psychology, eCampus University, Novedrate (Como), Italy
| | - Lorena Rami
- 9 Alzheimer's Disease and Other Cognitive Disorders Unit, Hospital Clinic i Universitari, Barcelona, Spain
| | - Oskar Hansson
- 10 Department of Clinical Sciences, Lund University, Lund, Sweden 11 Memory clinic, Skåne University Hospital, Lund, Sweden
| | - Reisa Sperling
- 11 Memory clinic, Skåne University Hospital, Lund, Sweden
| | - Sebastiaan Engelborghs
- 13 Department of Neurology and Memory Clinic, Hospital Network Antwerp, Middelheim and Hoge Beuken, Belgium 14 Reference Centre for Biological Markers of Dementia (BIODEM), Laboratory of Neurochemistry and Behavior, Department of Biomedical Sciences, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Ricardo S Osorio
- 5 Centre for Brain Health, Department of Psychiatry, New York University School of Medicine, New York, USA
| | | | - Manu Vandijck
- 16 Fujirebio Europe nv, Technologiepark 6, Gent, Belgium
| | - Harald Hampel
- 17 AXA Research Fund and UPMC, Université Pierre et Marie Curie, Paris, France 18 Sorbonne Universités, Université Pierre et Marie Curie, Paris 06, Institut de la Mémoire et de la Maladie d'Alzheimer (IM2A) & Institut du Cerveau et de la Moelle épinière (ICM), Département de Neurologie, Hôpital de la Pitié-Salpétrière, Paris, France
| | - Stefan Teipl
- 19 Department of Psychosomatic Medicine, University Medicine Rostock, Rostock, Germany 20 DZNE, German Centre for Neurodegenerative Diseases, Rostock, Germany
| | - Abhay Moghekar
- 21 Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Marilyn Albert
- 21 Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - William T Hu
- 22 Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
| | - Jose A Monge Argilés
- 23 Department of Neurology, University General Hospital of Alicante, Alicante, Spain
| | - Ana Gorostidi
- 24 Neuroscience Unit, Biodonostia Research Institute, San Sebastian, Spain
| | - Charlotte E Teunissen
- 25 Neurochemistry Lab and Biobank, Dept. of Clinical Chemistry, Neuroscience Campus Amsterdam, VU University Medical Centre Amsterdam, The Netherlands
| | - Peter P De Deyn
- 13 Department of Neurology and Memory Clinic, Hospital Network Antwerp, Middelheim and Hoge Beuken, Belgium 14 Reference Centre for Biological Markers of Dementia (BIODEM), Laboratory of Neurochemistry and Behavior, Department of Biomedical Sciences, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Bradley T Hyman
- 12 Massachusetts Alzheimer's Disease Research Centre, Harvard Aging Brain Study, Department of Neurology; Massachusetts General Hospital, Harvard Medical School, Boston, MA,USA
| | - Jose L Molinuevo
- 9 Alzheimer's Disease and Other Cognitive Disorders Unit, Hospital Clinic i Universitari, Barcelona, Spain
| | - Giovanni B Frisoni
- 7 IRCCS Centro San Giovanni di Dio FBF, Brescia, Italy 26 University Hospitals and University of Geneva, Geneva, Switzerland
| | - Gurutz Linazasoro
- 6 Department of Neurology, Centre for Research and Advanced Therapies. Fundación CITA-Alzheimer Fundazioa, Donostia/San Sebastián, Spain
| | - Mony J de Leon
- 5 Centre for Brain Health, Department of Psychiatry, New York University School of Medicine, New York, USA
| | - Wiesje M van der Flier
- 4 Alzheimer Centre and Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Centre, Amsterdam, The Netherlands 27 Department of Epidemiology/Biostatistics, VU University Medical Centre, USA
| | - Philip Scheltens
- 4 Alzheimer Centre and Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Centre, Amsterdam, The Netherlands
| | - Kaj Blennow
- 2 Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden 27 Department of Epidemiology/Biostatistics, VU University Medical Centre, USA
| | - Leslie M Shaw
- 1 Department of Pathology and Laboratory Medicine, Institute on Aging, Centre for Neurodegenerative Disease Research, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - John Q Trojanowski
- 1 Department of Pathology and Laboratory Medicine, Institute on Aging, Centre for Neurodegenerative Disease Research, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
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Benedictus MR, van Harten AC, Leeuwis AE, Koene T, Scheltens P, Barkhof F, Prins ND, van der Flier WM. White Matter Hyperintensities Relate to Clinical Progression in Subjective Cognitive Decline. Stroke 2015; 46:2661-4. [PMID: 26173729 DOI: 10.1161/strokeaha.115.009475] [Citation(s) in RCA: 62] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2015] [Accepted: 06/08/2015] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE In patients with subjective cognitive decline, we assessed whether small vessel disease was associated with clinical progression and cognitive decline. METHODS We included 334 patients with subjective cognitive decline. Follow-up was 3±2 years. RESULTS Fifty-three (16%) patients progressed clinically to mild cognitive impairment or dementia. White matter hyperintensities were associated with clinical progression and with annual decline on memory, attention, executive functioning, and global cognition. Microbleeds and lacunes were not associated with clinical progression or cognitive decline. CONCLUSIONS In patients with subjective cognitive decline, patients with white matter hyperintensities are at increased risk of clinical progression and cognitive decline.
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Affiliation(s)
- Marije R Benedictus
- From the Alzheimer Center and Department of Neurology (M.R.B., A.C.v.H., A.E.L., P.S., N.D.P., W.M.v.d.F.), Department of Radiology and Nuclear Medicine (F.B.), Department of Medical Psychology (T.K.), and Department of Epidemiology and Biostatistics (W.M.v.d.F.), Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands.
| | - Argonde C van Harten
- From the Alzheimer Center and Department of Neurology (M.R.B., A.C.v.H., A.E.L., P.S., N.D.P., W.M.v.d.F.), Department of Radiology and Nuclear Medicine (F.B.), Department of Medical Psychology (T.K.), and Department of Epidemiology and Biostatistics (W.M.v.d.F.), Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Annebet E Leeuwis
- From the Alzheimer Center and Department of Neurology (M.R.B., A.C.v.H., A.E.L., P.S., N.D.P., W.M.v.d.F.), Department of Radiology and Nuclear Medicine (F.B.), Department of Medical Psychology (T.K.), and Department of Epidemiology and Biostatistics (W.M.v.d.F.), Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Teddy Koene
- From the Alzheimer Center and Department of Neurology (M.R.B., A.C.v.H., A.E.L., P.S., N.D.P., W.M.v.d.F.), Department of Radiology and Nuclear Medicine (F.B.), Department of Medical Psychology (T.K.), and Department of Epidemiology and Biostatistics (W.M.v.d.F.), Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Philip Scheltens
- From the Alzheimer Center and Department of Neurology (M.R.B., A.C.v.H., A.E.L., P.S., N.D.P., W.M.v.d.F.), Department of Radiology and Nuclear Medicine (F.B.), Department of Medical Psychology (T.K.), and Department of Epidemiology and Biostatistics (W.M.v.d.F.), Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Frederik Barkhof
- From the Alzheimer Center and Department of Neurology (M.R.B., A.C.v.H., A.E.L., P.S., N.D.P., W.M.v.d.F.), Department of Radiology and Nuclear Medicine (F.B.), Department of Medical Psychology (T.K.), and Department of Epidemiology and Biostatistics (W.M.v.d.F.), Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Niels D Prins
- From the Alzheimer Center and Department of Neurology (M.R.B., A.C.v.H., A.E.L., P.S., N.D.P., W.M.v.d.F.), Department of Radiology and Nuclear Medicine (F.B.), Department of Medical Psychology (T.K.), and Department of Epidemiology and Biostatistics (W.M.v.d.F.), Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Wiesje M van der Flier
- From the Alzheimer Center and Department of Neurology (M.R.B., A.C.v.H., A.E.L., P.S., N.D.P., W.M.v.d.F.), Department of Radiology and Nuclear Medicine (F.B.), Department of Medical Psychology (T.K.), and Department of Epidemiology and Biostatistics (W.M.v.d.F.), Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
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Jessen F, Amariglio RE, van Boxtel M, Breteler M, Ceccaldi M, Chételat G, Dubois B, Dufouil C, Ellis KA, van der Flier WM, Glodzik L, van Harten AC, de Leon MJ, McHugh P, Mielke MM, Molinuevo JL, Mosconi L, Osorio RS, Perrotin A, Petersen RC, Rabin LA, Rami L, Reisberg B, Rentz DM, Sachdev PS, de la Sayette V, Saykin AJ, Scheltens P, Shulman MB, Slavin MJ, Sperling RA, Stewart R, Uspenskaya O, Vellas B, Visser PJ, Wagner M. A conceptual framework for research on subjective cognitive decline in preclinical Alzheimer's disease. Alzheimers Dement 2014; 10:844-52. [PMID: 24798886 DOI: 10.1016/j.jalz.2014.01.001] [Citation(s) in RCA: 1658] [Impact Index Per Article: 165.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2013] [Revised: 12/23/2013] [Accepted: 01/09/2014] [Indexed: 11/26/2022]
Abstract
There is increasing evidence that subjective cognitive decline (SCD) in individuals with unimpaired performance on cognitive tests may represent the first symptomatic manifestation of Alzheimer's disease (AD). The research on SCD in early AD, however, is limited by the absence of common standards. The working group of the Subjective Cognitive Decline Initiative (SCD-I) addressed this deficiency by reaching consensus on terminology and on a conceptual framework for research on SCD in AD. In this publication, research criteria for SCD in pre-mild cognitive impairment (MCI) are presented. In addition, a list of core features proposed for reporting in SCD studies is provided, which will enable comparability of research across different settings. Finally, a set of features is presented, which in accordance with current knowledge, increases the likelihood of the presence of preclinical AD in individuals with SCD. This list is referred to as SCD plus.
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Affiliation(s)
- Frank Jessen
- Department of Psychiatry, University of Bonn, Bonn, Germany; Clinical Treatment and Research Center for Neurodegenerative Disease (KBFZ), University of Bonn, Bonn, Germany; German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.
| | - Rebecca E Amariglio
- Department of Neurology, Harvard Medical School, Brigham and Women's Hospital, Massachusetts General Hospital, Boston, MA, USA
| | - Martin van Boxtel
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNS), Maastricht University, Maastricht, The Netherlands
| | - Monique Breteler
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Mathieu Ceccaldi
- Institut des Neurosciences des Systèmes, Université de Marseille, Marseille, France
| | - Gaël Chételat
- INSERM, U1077, Caen, France; Université de Caen Basse-Normandie, UMR-S1077, Caen, France; Ecole Pratique des Hautes Etudes, UMR-S1077, Caen, France; CHU de Caen, U1077, Caen, France
| | | | - Carole Dufouil
- INSERM U708, Neuroepidemiology, CIC-EC7 and Bordeaux University, Bordeaux, France
| | - Kathryn A Ellis
- Academic Unit for Psychiatry of Old Age, Department of Psychiatry, University of Melbourne, Melbourne, Australia
| | - Wiesje M van der Flier
- Alzheimer Center, Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Centre, Amsterdam, The Netherlands
| | - Lidia Glodzik
- Department of Psychiatry, New York University Langone Medical Center, New York, NY, USA
| | - Argonde C van Harten
- Alzheimer Center, Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Centre, Amsterdam, The Netherlands
| | - Mony J de Leon
- Department of Psychiatry, New York University Langone Medical Center, New York, NY, USA
| | - Pauline McHugh
- Department of Psychiatry, New York University Langone Medical Center, New York, NY, USA
| | - Michelle M Mielke
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Jose Luis Molinuevo
- Alzheimer's Disease and Other Cognitive Disorders Unit, IDIBAPS, Hospital Clinic, Barcelona, Spain
| | - Lisa Mosconi
- Department of Psychiatry, New York University Langone Medical Center, New York, NY, USA
| | - Ricardo S Osorio
- Department of Psychiatry, New York University Langone Medical Center, New York, NY, USA
| | - Audrey Perrotin
- INSERM, U1077, Caen, France; Université de Caen Basse-Normandie, UMR-S1077, Caen, France; Ecole Pratique des Hautes Etudes, UMR-S1077, Caen, France; CHU de Caen, U1077, Caen, France
| | | | - Laura A Rabin
- Brooklyn College of The City University of New York, New York, NY, USA; The Graduate Center of The City University of New York, New York, NY, USA
| | - Lorena Rami
- Alzheimer's Disease and Other Cognitive Disorders Unit, IDIBAPS, Hospital Clinic, Barcelona, Spain
| | - Barry Reisberg
- Department of Psychiatry, New York University Langone Medical Center, New York, NY, USA; Silberstein Aging and Dementia Research Center, New York University School of Medicine, New York, NY, USA
| | - Dorene M Rentz
- Department of Neurology, Harvard Medical School, Brigham and Women's Hospital, Massachusetts General Hospital, Boston, MA, USA
| | - Perminder S Sachdev
- Centre for Healthy Brain Ageing, University of New South Wales, Sydney, Australia
| | - Vincent de la Sayette
- INSERM, U1077, Caen, France; Université de Caen Basse-Normandie, UMR-S1077, Caen, France; Ecole Pratique des Hautes Etudes, UMR-S1077, Caen, France; CHU de Caen, U1077, Caen, France
| | - Andrew J Saykin
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Philip Scheltens
- Alzheimer Center, Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Centre, Amsterdam, The Netherlands
| | - Melanie B Shulman
- Department of Psychiatry, New York University Langone Medical Center, New York, NY, USA
| | - Melissa J Slavin
- Dementia Collaborative Research Centre, School of Psychiatry, UNSW Medicine, University of New South Wales, Sydney, Australia
| | - Reisa A Sperling
- Department of Neurology, Harvard Medical School, Brigham and Women's Hospital, Massachusetts General Hospital, Boston, MA, USA
| | - Robert Stewart
- Institute of Psychiatry, King's College London, London, UK
| | - Olga Uspenskaya
- Alzheimer's Institute, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
| | - Bruno Vellas
- Department of Internal Medicine and Geriatrics, Toulouse University Hospital, UMR INSERM 1027, University Paul Sabatier, Toulouse, France
| | - Pieter Jelle Visser
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNS), Maastricht University, Maastricht, The Netherlands; Alzheimer Center, Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Centre, Amsterdam, The Netherlands
| | - Michael Wagner
- Department of Psychiatry, University of Bonn, Bonn, Germany; Clinical Treatment and Research Center for Neurodegenerative Disease (KBFZ), University of Bonn, Bonn, Germany; German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
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van Harten AC, Smits LL, Teunissen CE, Visser PJ, Koene T, Blankenstein MA, Scheltens P, van der Flier WM. Preclinical AD predicts decline in memory and executive functions in subjective complaints. Neurology 2013; 81:1409-16. [PMID: 24049134 DOI: 10.1212/wnl.0b013e3182a8418b] [Citation(s) in RCA: 107] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE We assessed whether preclinical Alzheimer disease (AD) based on CSF biomarkers at baseline predicts decline in cognitive functioning as measured by repeated neuropsychological tests for 4 cognitive domains in patients with subjective complaints. METHODS We included 132 patients with subjective complaints from our memory clinic-based Amsterdam Dementia Cohort, who underwent lumbar puncture and had repeated (range 2-7) neuropsychological evaluations. Follow-up was 2 ± 1 years. CSF biomarkers amyloid-β (Aβ42), total tau (Tau), and hyperphosphorylated tau-181 were used to define National Institute on Aging-Alzheimer's Association (NIA-AA) preclinical AD stages. Predictive value of preclinical AD stages as defined by CSF biomarkers, individual biomarkers, and Aβ42/tau ratio was assessed using linear mixed models. Outcome measures were compound z scores for memory, attention, executive functioning, language, and global cognition. Analyses were adjusted for age, sex, and education. RESULTS Patients were 61 ± 8 years old; 56 (42%) were women. Average baseline Mini-Mental State Examination score was 28.3 ± 1.5. Patients who fulfilled criteria for preclinical AD (stage 1: n = 11 + stage 2: n = 10) showed decline over time in memory (β ± SE -0.41 ± 0.14, p < 0.01), executive functions (-0.21 ± 0.08, p < 0.01), and global cognition (-0.29 ± 0.10, p < 0.01). There were no differences in cognitive decline between NIA-AA preclinical AD stages 1 and 2. In patients with normal CSF biomarkers, we observed memory improvement (0.19 ± 0.07, p < 0.01) and stable performance in all other domains. CONCLUSIONS CSF evidence of preclinical AD in patients with subjective complaints predicted cognitive decline over time, encompassing more than memory alone. Executive functioning and global cognitive functioning also deteriorated. On the other hand, 2-year prognosis for patients without evidence of AD pathophysiology was good.
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Affiliation(s)
- Argonde C van Harten
- From the Alzheimer Center (A.C.v.H., L.L.S., P.J.V., T.K., P.S., W.M.v.d.F.), Department of Neurology (A.C.v.H., L.L.S., P.S., W.M.v.d.F.), Neuroscience Campus Amsterdam (A.C.v.H., L.L.S., C.E.T., P.J.V., P.S., W.M.v.d.F.), Department of Clinical Chemistry (C.E.T., M.A.B.), Department of Medical Psychology (T.K.), and Department of Epidemiology/Biostatistics (W.M.v.d.F.), VU University Medical Center, Amsterdam; and the Department of Psychiatry and Neuropsychology/Alzheimer Center Limburg (P.J.V.), School for Mental Health and Neurosciences, Maastricht University Medical Center, Maastricht, the Netherlands
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van Harten AC, Visser PJ, Pijnenburg YA, Teunissen CE, Blankenstein MA, Scheltens P, van der Flier WM. Cerebrospinal fluid Aβ42 is the best predictor of clinical progression in patients with subjective complaints. Alzheimers Dement 2012; 9:481-7. [PMID: 23232269 DOI: 10.1016/j.jalz.2012.08.004] [Citation(s) in RCA: 124] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2011] [Revised: 07/27/2012] [Accepted: 08/16/2012] [Indexed: 10/27/2022]
Affiliation(s)
- Argonde C. van Harten
- Alzheimer Center; VU University Medical Center; Amsterdam The Netherlands
- Department of Neurology; VU University Medical Center; Amsterdam The Netherlands
| | - Pieter Jelle Visser
- Alzheimer Center; VU University Medical Center; Amsterdam The Netherlands
- Department of Neurology; VU University Medical Center; Amsterdam The Netherlands
- Department of Psychiatry and Neuropsychology/Alzheimer Center Limburg; School for Mental Health and Neurosciences, Maastricht University Medical Center; Maastricht The Netherlands
| | - Yolande A.L. Pijnenburg
- Alzheimer Center; VU University Medical Center; Amsterdam The Netherlands
- Department of Neurology; VU University Medical Center; Amsterdam The Netherlands
| | - Charlotte E. Teunissen
- Department of Clinical Chemistry; VU University Medical Center; Amsterdam The Netherlands
| | | | - Philip Scheltens
- Alzheimer Center; VU University Medical Center; Amsterdam The Netherlands
- Department of Neurology; VU University Medical Center; Amsterdam The Netherlands
| | - Wiesje M. van der Flier
- Alzheimer Center; VU University Medical Center; Amsterdam The Netherlands
- Department of Neurology; VU University Medical Center; Amsterdam The Netherlands
- Department of Epidemiology/Biostatistics; VU University Medical Center; Amsterdam The Netherlands
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van Harten AC, Kester MI, Visser PJ, Blankenstein MA, Pijnenburg YAL, van der Flier WM, Scheltens P. Tau and p-tau as CSF biomarkers in dementia: a meta-analysis. Clin Chem Lab Med 2011; 49:353-66. [PMID: 21342021 DOI: 10.1515/cclm.2011.086] [Citation(s) in RCA: 103] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND To evaluate the value of total tau (tau) and phosphorylated tau (p-tau) in cerebrospinal fluid (CSF) in the differential diagnosis of dementia, more specifically: dementia with Lewy Bodies (DLB), frontotemporal lobar degeneration (FTLD), vascular dementia (VaD), and Creutzfeldt-Jacob disease (CJD). METHODS A systematic literature search was performed to identify studies on tau and p-tau in DLB, FTLD, VaD and CJD. Tau concentrations were compared to healthy controls and to subjects with Alzheimer's disease (AD) using random effect meta-analysis. Outcome measures were Cohen's delta, sensitivity and specificity. RESULTS Compared to controls, tau concentrations are moderately elevated in DLB, FTLD and VaD, while p-tau concentrations are only slightly elevated in DLB and not elevated in FTLD and VaD. Compared to AD, lower tau concentrations differentiated DLB with a sensitivity of 73% and a specificity of 90%, FTLD with sensitivity and specificity of 74%, and VaD with a sensitivity of 73% and a specificity of 86%. Relative to AD, lower p-tau values differentiated FTLD with a sensitivity of 79% and specificity of 83%, and VaD with a sensitivity of 88% and a specificity of 78%. CJD is characterized by extremely elevated tau concentrations with a sensitivity of 91% and a specificity of 98% vs. AD. CONCLUSIONS CSF tau concentrations in DLB, FTLD and VaD are intermediate between controls and AD patients. Overlap with both controls and AD patients results in insufficient diagnostic accuracy, and the development of more specific biomarkers for these disorders is needed. CJD is characterized by extremely increased tau values, resulting in a sensitivity and specificity that exceeds 90%.
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