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Huang X, Wang J, Chen X, Liu P, Wang S, Song F, Zhang Z, Zhu F, Huang X, Liu J, Song G, Spencer PS, Yang X. The Prenylflavonoid Xanthohumol Reduces Alzheimer-Like Changes and Modulates Multiple Pathogenic Molecular Pathways in the Neuro2a/APP swe Cell Model of AD. Front Pharmacol 2018; 9:199. [PMID: 29670521 PMCID: PMC5893754 DOI: 10.3389/fphar.2018.00199] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2017] [Accepted: 02/22/2018] [Indexed: 12/27/2022] Open
Abstract
Alzheimer’s disease (AD) is a progressive neurodegenerative disorder that has proved refractory to drug treatment. Given evidence of neuroprotection in animal models of ischemic stroke, we assessed the prenylflavonoid xanthohumol from the Common Hop (Humulus lupulus L.) for therapeutic potential in murine neuroblastoma N2a cells stably expressing human Swedish mutant amyloid precursor protein (N2a/APP), a well-characterized cellular model of AD. The ELISA and Western-blot analysis revealed that xanthohumol (Xn) inhibited Aβ accumulation and APP processing, and that Xn ameliorated tau hyperphosphorylation via PP2A, GSK3β pathways in N2a/APP cells. The amelioration of tau hyperphosphorylation by Xn was also validated on HEK293/Tau cells, another cell line with tau hyperphosphorylation. Proteomic analysis (2D-DIGE-coupled MS) revealed a total of 30 differentially expressed lysate proteins in N2a/APP vs. wild-type (WT) N2a cells (N2a/WT), and a total of 21 differentially expressed proteins in lysates of N2a/APP cells in the presence or absence of Xn. Generally, these 51 differential proteins could be classified into seven main categories according to their functions, including: endoplasmic reticulum (ER) stress-associated proteins; oxidative stress-associated proteins; proteasome-associated proteins; ATPase and metabolism-associated proteins; cytoskeleton-associated proteins; molecular chaperones-associated proteins, and others. We used Western-blot analysis to validate Xn-associated changes of some key proteins in several biological/pathogenic processes. Taken together, we show that Xn reduces AD-related changes in stably transfected N2a/APP cells. The underlying mechanisms involve modulation of multiple pathogenic pathways, including those involved in ER stress, oxidative stress, proteasome molecular systems, and the neuronal cytoskeleton. These results suggest Xn may have potential for the treatment of AD and/or neuropathologically related neurodegenerative diseases.
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Affiliation(s)
- Xianfeng Huang
- College of Pharmaceutical Engineering and Life Sciences, Changzhou University, Changzhou, China
| | - Jing Wang
- College of Pharmaceutical Engineering and Life Sciences, Changzhou University, Changzhou, China
| | - Xiao Chen
- Key Laboratory of Modern Toxicology of Shenzhen, Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Pan Liu
- College of Pharmaceutical Engineering and Life Sciences, Changzhou University, Changzhou, China.,Key Laboratory of Modern Toxicology of Shenzhen, Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Shujin Wang
- Department of Neurology, The First Hospital of Zibo, Weifang Medical University, Zibo, China
| | - Fangchen Song
- College of Pharmaceutical Engineering and Life Sciences, Changzhou University, Changzhou, China
| | - Zaijun Zhang
- Key Laboratory of Innovative Chemical Drug Research in Cardio-Cerebrovascular Diseases, Institute of New Drug Research and Guangzhou, College of Pharmacy, Jinan University, Guangzhou, China
| | - Feiqi Zhu
- Department of Cognitive Impairment Ward of Neurology, The Third Affiliated Hospital of Shenzhen University, Shenzhen, China
| | - Xinfeng Huang
- Key Laboratory of Modern Toxicology of Shenzhen, Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Jianjun Liu
- Key Laboratory of Modern Toxicology of Shenzhen, Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Guoqiang Song
- College of Pharmaceutical Engineering and Life Sciences, Changzhou University, Changzhou, China
| | - Peter S Spencer
- Department of Neurology, School of Medicine, Oregon Institute of Occupational Health Sciences, Oregon Health and Science University, Portland, OR, United States
| | - Xifei Yang
- Key Laboratory of Modern Toxicology of Shenzhen, Shenzhen Center for Disease Control and Prevention, Shenzhen, China
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302
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Koenig AM, Nobuhara CK, Williams VJ, Arnold SE. Biomarkers in Alzheimer's, Frontotemporal, Lewy Body, and Vascular Dementias. FOCUS: JOURNAL OF LIFE LONG LEARNING IN PSYCHIATRY 2018; 16:164-172. [PMID: 31975911 DOI: 10.1176/appi.focus.20170048] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
This article reviews the current evidence base for biomarkers of the most common causes of dementia in later life: Alzheimer's disease (AD), frontotemporal lobar degenerations, Lewy body dementias, and vascular cognitive impairment and dementia. Biomarkers are objectively measurable indicators of normal physiology, pathological processes, or response to an intervention. Ideally, they are sensitive, specific, easy to obtain, and closely reflect the underlying biological processes of interest. While such markers are well established and in broad clinical use for common disorders in general medicine (e.g., thallium stress tests for coronary artery disease or serum blood urea nitrogen and creatinine for renal failure), analogous, validated markers for AD or other common dementias are limited, although biomarkers in research settings and specialty dementia clinics are progressing toward clinical use. By way of introducing current and future biomarkers for dementias of later life, this article will benefit the practicing clinician by increasing awareness of the availability and utility of current and emerging biomarkers in dementia diagnosis and prognosis and for monitoring new disease-modifying therapeutics that arrive in the clinic over the coming decade.
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Affiliation(s)
- Aaron M Koenig
- All authors are with the MassGeneral Institute for Neurodegenerative Disease (MIND), Department of Neurology, Massachusetts General Hospital, Boston
| | - Chloe K Nobuhara
- All authors are with the MassGeneral Institute for Neurodegenerative Disease (MIND), Department of Neurology, Massachusetts General Hospital, Boston
| | - Victoria J Williams
- All authors are with the MassGeneral Institute for Neurodegenerative Disease (MIND), Department of Neurology, Massachusetts General Hospital, Boston
| | - Steven E Arnold
- All authors are with the MassGeneral Institute for Neurodegenerative Disease (MIND), Department of Neurology, Massachusetts General Hospital, Boston
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303
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Toombs J, Foiani MS, Wellington H, Paterson RW, Arber C, Heslegrave A, Lunn MP, Schott JM, Wray S, Zetterberg H. Amyloid β peptides are differentially vulnerable to preanalytical surface exposure, an effect incompletely mitigated by the use of ratios. ALZHEIMER'S & DEMENTIA: DIAGNOSIS, ASSESSMENT & DISEASE MONITORING 2018; 10:311-321. [PMID: 29780875 PMCID: PMC5956932 DOI: 10.1016/j.dadm.2018.02.005] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Introduction We tested the hypothesis that the amyloid β (Aβ) peptide ratios are more stable than Aβ42 alone when biofluids are exposed to two preanalytical conditions known to modify measurable Aβ concentration. Methods Human cerebrospinal fluid (CSF) and culture media (CM) from human cortical neurons were exposed to a series of volumes and polypropylene surfaces. Aβ42, Aβ40, and Aβ38 peptide concentrations were measured using a multiplexed electrochemiluminescence immunoassay. Data were analyzed using mixed models in R. Results Decrease of measurable Aβ peptide concentrations was exaggerated in longer peptides, affecting the Aβ42:Aβ40 and Aβ42:Aβ38 ratios. However, the effect size of surface treatment was reduced in Aβ peptide ratios versus Aβ42 alone. For Aβ42:Aβ40, the effect was reduced by approximately 50% (volume) and 75% (transfer) as compared to Aβ42 alone. Discussion Use of Aβ ratios, in conjunction with concentrations, may mitigate confounding factors and assist the clinical diagnostic process for Alzheimer's disease.
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Affiliation(s)
- Jamie Toombs
- Department of Molecular Neuroscience, Institute of Neurology, University College London, London, UK
| | - Martha S Foiani
- Department of Molecular Neuroscience, Institute of Neurology, University College London, London, UK
| | - Henrietta Wellington
- Department of Molecular Neuroscience, Institute of Neurology, University College London, London, UK
| | - Ross W Paterson
- Department of Neurodegeneration, Dementia Research Centre, Institute of Neurology, London, UK
| | - Charles Arber
- Department of Molecular Neuroscience, Institute of Neurology, University College London, London, UK
| | - Amanda Heslegrave
- Department of Molecular Neuroscience, Institute of Neurology, University College London, London, UK
| | - Michael P Lunn
- Department of Neuroimmunology, Institute of Neurology, University College London, London, UK
| | - Jonathan M Schott
- Department of Molecular Neuroscience, Institute of Neurology, University College London, London, UK
| | - Selina Wray
- Department of Neurodegeneration, Dementia Research Centre, Institute of Neurology, London, UK
| | - Henrik Zetterberg
- Department of Molecular Neuroscience, University College London, London, UK.,UK Dementia Research Institute, London, UK.,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
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304
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Goossens J, Bjerke M, Van Mossevelde S, Van den Bossche T, Goeman J, De Vil B, Sieben A, Martin JJ, Cras P, De Deyn PP, Van Broeckhoven C, van der Zee J, Engelborghs S. Diagnostic value of cerebrospinal fluid tau, neurofilament, and progranulin in definite frontotemporal lobar degeneration. ALZHEIMERS RESEARCH & THERAPY 2018; 10:31. [PMID: 29559004 PMCID: PMC5859717 DOI: 10.1186/s13195-018-0364-0] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/15/2017] [Accepted: 03/01/2018] [Indexed: 12/13/2022]
Abstract
Background We explored the diagnostic performance of cerebrospinal fluid (CSF) biomarkers in allowing differentiation between frontotemporal lobar degeneration (FTLD) and Alzheimer’s disease (AD), as well as between FTLD pathological subtypes. Methods CSF levels of routine AD biomarkers (phosphorylated tau (p-tau181), total tau (t-tau), and amyloid-beta (Aβ)1–42) and neurofilament proteins, as well as progranulin levels in both CSF and serum were quantified in definite FTLD (n = 46), clinical AD (n = 45), and cognitively healthy controls (n = 20). FTLD subgroups were defined by genetic carrier status and/or postmortem neuropathological confirmation (FTLD-TDP: n = 34, including FTLD-C9orf72: n = 19 and FTLD-GRN: n = 9; FTLD-tau: n = 10). Results GRN mutation carriers had significantly lower progranulin levels compared to other FTLD patients, AD, and controls. Both t-tau and p-tau181 were normal in FTLD patients, even in FTLD-tau. Aβ1–42 levels were very variable in FTLD. Neurofilament light chain (Nf-L) was significantly higher in FTLD compared with AD and controls. The reference logistic regression model based on the established AD biomarkers could be improved by the inclusion of CSF Nf-L, which was also important for the differentiation between FTLD and controls. Within the FTLD cohort, no significant differences were found between FTLD-TDP and FTLD-tau, but GRN mutation carriers had higher t-tau and Nf-L levels than C9orf72 mutation carriers and FTLD-tau patients. Conclusions There is an added value for Nf-L in the differential diagnosis of FTLD. Progranulin levels in CSF depend on mutation status, and GRN mutation carriers seem to be affected by more severe neurodegeneration.
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Affiliation(s)
- Joery Goossens
- Reference Center for Biological Markers of Dementia, Laboratory of Neurochemistry and Behavior, University of Antwerp, Universiteitsplein 1, 2610, Wilrijk, Belgium.,Institute Born-Bunge, University of Antwerp, Universiteitsplein 1, 2610, Wilrijk, Belgium
| | - Maria Bjerke
- Reference Center for Biological Markers of Dementia, Laboratory of Neurochemistry and Behavior, University of Antwerp, Universiteitsplein 1, 2610, Wilrijk, Belgium.,Institute Born-Bunge, University of Antwerp, Universiteitsplein 1, 2610, Wilrijk, Belgium
| | - Sara Van Mossevelde
- Institute Born-Bunge, University of Antwerp, Universiteitsplein 1, 2610, Wilrijk, Belgium.,Neurodegenerative Brain Diseases Group, Center for Molecular Neurology, VIB, Universiteitsplein 1, 2610, Wilrijk, Belgium.,Department of Neurology and Memory Clinic, Hospital Network Antwerp (ZNA) Middelheim and Hoge Beuken, 2660, Antwerpen, Belgium.,Department of Neurology, Antwerp University Hospital, Wilrijkstraat 10, 2650, Edegem, Belgium
| | - Tobi Van den Bossche
- Institute Born-Bunge, University of Antwerp, Universiteitsplein 1, 2610, Wilrijk, Belgium.,Neurodegenerative Brain Diseases Group, Center for Molecular Neurology, VIB, Universiteitsplein 1, 2610, Wilrijk, Belgium.,Department of Neurology and Memory Clinic, Hospital Network Antwerp (ZNA) Middelheim and Hoge Beuken, 2660, Antwerpen, Belgium.,Department of Neurology, Antwerp University Hospital, Wilrijkstraat 10, 2650, Edegem, Belgium
| | - Johan Goeman
- Department of Neurology and Memory Clinic, Hospital Network Antwerp (ZNA) Middelheim and Hoge Beuken, 2660, Antwerpen, Belgium
| | - Bart De Vil
- Institute Born-Bunge, University of Antwerp, Universiteitsplein 1, 2610, Wilrijk, Belgium.,Laboratory of Neurology, Translational Neurosciences, University of Antwerp, Universiteitsplein 1, 2610, Wilrijk, Belgium
| | - Anne Sieben
- Institute Born-Bunge, University of Antwerp, Universiteitsplein 1, 2610, Wilrijk, Belgium.,Neurodegenerative Brain Diseases Group, Center for Molecular Neurology, VIB, Universiteitsplein 1, 2610, Wilrijk, Belgium
| | - Jean-Jacques Martin
- Institute Born-Bunge, University of Antwerp, Universiteitsplein 1, 2610, Wilrijk, Belgium
| | - Patrick Cras
- Institute Born-Bunge, University of Antwerp, Universiteitsplein 1, 2610, Wilrijk, Belgium.,Department of Neurology, Antwerp University Hospital, Wilrijkstraat 10, 2650, Edegem, Belgium.,Laboratory of Neurology, Translational Neurosciences, University of Antwerp, Universiteitsplein 1, 2610, Wilrijk, Belgium
| | - Peter Paul De Deyn
- Reference Center for Biological Markers of Dementia, Laboratory of Neurochemistry and Behavior, University of Antwerp, Universiteitsplein 1, 2610, Wilrijk, Belgium.,Institute Born-Bunge, University of Antwerp, Universiteitsplein 1, 2610, Wilrijk, Belgium.,Department of Neurology and Memory Clinic, Hospital Network Antwerp (ZNA) Middelheim and Hoge Beuken, 2660, Antwerpen, Belgium
| | - Christine Van Broeckhoven
- Institute Born-Bunge, University of Antwerp, Universiteitsplein 1, 2610, Wilrijk, Belgium.,Neurodegenerative Brain Diseases Group, Center for Molecular Neurology, VIB, Universiteitsplein 1, 2610, Wilrijk, Belgium
| | - Julie van der Zee
- Institute Born-Bunge, University of Antwerp, Universiteitsplein 1, 2610, Wilrijk, Belgium.,Neurodegenerative Brain Diseases Group, Center for Molecular Neurology, VIB, Universiteitsplein 1, 2610, Wilrijk, Belgium
| | - Sebastiaan Engelborghs
- Reference Center for Biological Markers of Dementia, Laboratory of Neurochemistry and Behavior, University of Antwerp, Universiteitsplein 1, 2610, Wilrijk, Belgium. .,Institute Born-Bunge, University of Antwerp, Universiteitsplein 1, 2610, Wilrijk, Belgium. .,Department of Neurology and Memory Clinic, Hospital Network Antwerp (ZNA) Middelheim and Hoge Beuken, 2660, Antwerpen, Belgium.
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305
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Baldeiras I, Santana I, Leitão MJ, Gens H, Pascoal R, Tábuas-Pereira M, Beato-Coelho J, Duro D, Almeida MR, Oliveira CR. Addition of the Aβ42/40 ratio to the cerebrospinal fluid biomarker profile increases the predictive value for underlying Alzheimer's disease dementia in mild cognitive impairment. Alzheimers Res Ther 2018; 10:33. [PMID: 29558986 PMCID: PMC5861634 DOI: 10.1186/s13195-018-0362-2] [Citation(s) in RCA: 68] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2017] [Accepted: 02/25/2018] [Indexed: 01/21/2023]
Abstract
BACKGROUND Cerebrospinal fluid (CSF) biomarkers have been used to increase the evidence of underlying Alzheimer's disease (AD) pathology in mild cognitive impairment (MCI). However, CSF biomarker-based classification often results in conflicting profiles with controversial prognostic value. Normalization of the CSF Aβ42 concentration to the level of total amyloid beta (Aβ), using the Aβ42/40 ratio, has been shown to improve the distinction between AD and non-AD dementia. Therefore, we evaluated whether the Aβ42/40 ratio would improve MCI categorization and more accurately predict progression to AD. METHODS Our baseline population consisted of 197 MCI patients, of which 144 had a follow-up ≥ 2 years, and comprised the longitudinal study group. To establish our own CSF Aβ42/40 ratio reference value, a group of 168 AD-dementia patients and 66 neurological controls was also included. CSF biomarker-based classification was operationalized according to the framework of the National Institute of Aging-Alzheimer Association criteria for MCI. RESULTS When using the core CSF biomarkers (Aβ42, total Tau and phosphorylated Tau), 30% of the patients fell into the high-AD-likelihood (HL) group (both amyloid and neurodegeneration markers positive), 30% into the low-AD-likelihood group (all biomarkers negative), 28% into the suspected non-Alzheimer pathophysiology (SNAP) group (only neurodegeneration markers positive) and 12% into the isolated amyloid pathology group (only amyloid-positive). Replacing Aβ42 by the Aβ42/40 ratio resulted in a significant increase in the percentage of patients with amyloidosis (42-59%) and in the proportion of interpretable biological profiles (61-75%), due to a reduction by half in the number of SNAP cases and an increase in the proportion of the HL subgroup. Survival analysis showed that risk of progression to AD was highest in the HL group, and increased when the Aβ42/40 ratio, instead of Aβ42, combined with total Tau and phosphorylated Tau was used for biomarker-based categorization. CONCLUSIONS Our results confirm the usefulness of the CSF Aβ42/40 ratio in the interpretation of CSF biomarker profiles in MCI patients, by increasing the proportion of conclusive profiles and enhancing their predictive value for underlying AD.
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Affiliation(s)
- Inês Baldeiras
- Laboratory of Neurochemistry, Neurology Department, Centro Hospitalar e Universitário de Coimbra, 3000-075 Coimbra, Portugal
- Center for Neuroscience and Cell Biology, University of Coimbra, 3004-504 Coimbra, Portugal
- Faculty of Medicine, University of Coimbra, 3000-548 Coimbra, Portugal
| | - Isabel Santana
- Center for Neuroscience and Cell Biology, University of Coimbra, 3004-504 Coimbra, Portugal
- Faculty of Medicine, University of Coimbra, 3000-548 Coimbra, Portugal
- Dementia Clinic, Neurology Department, Centro Hospitalar e Universitário de Coimbra, 3000-075 Coimbra, Portugal
| | - Maria João Leitão
- Laboratory of Neurochemistry, Neurology Department, Centro Hospitalar e Universitário de Coimbra, 3000-075 Coimbra, Portugal
- Center for Neuroscience and Cell Biology, University of Coimbra, 3004-504 Coimbra, Portugal
| | - Helena Gens
- Dementia Clinic, Neurology Department, Centro Hospitalar e Universitário de Coimbra, 3000-075 Coimbra, Portugal
| | - Rui Pascoal
- Laboratory of Neurochemistry, Neurology Department, Centro Hospitalar e Universitário de Coimbra, 3000-075 Coimbra, Portugal
| | - Miguel Tábuas-Pereira
- Dementia Clinic, Neurology Department, Centro Hospitalar e Universitário de Coimbra, 3000-075 Coimbra, Portugal
| | - José Beato-Coelho
- Dementia Clinic, Neurology Department, Centro Hospitalar e Universitário de Coimbra, 3000-075 Coimbra, Portugal
| | - Diana Duro
- Dementia Clinic, Neurology Department, Centro Hospitalar e Universitário de Coimbra, 3000-075 Coimbra, Portugal
| | - Maria Rosário Almeida
- Center for Neuroscience and Cell Biology, University of Coimbra, 3004-504 Coimbra, Portugal
| | - Catarina Resende Oliveira
- Center for Neuroscience and Cell Biology, University of Coimbra, 3004-504 Coimbra, Portugal
- Research & Development Unit, Centro Hospitalar e Universitário de Coimbra, 3000-075 Coimbra, Portugal
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306
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Validation of a Chemiluminescence Immunoassay for Measuring Amyloid-β in Human Blood Plasma. Methods Mol Biol 2018; 1750:111-124. [PMID: 29512068 DOI: 10.1007/978-1-4939-7704-8_7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/22/2023]
Abstract
The technical performance of immunological assays and their suitability for the intended use should be carefully validated before implementation in research, clinical studies or routine. We describe here the evaluation of a sandwich electrochemiluminescence immunoassay for measuring total Amyloid-β levels in human blood plasma as an example of a laboratory protocol for a partial "fit for purpose" assay performance validation. We tested two different assay protocols and addressed impact of sample dilution, parallelism, intra- and inter-assay variance, lower limit of quantification, lower limit of detection, and analytical spike recoveries.
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307
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Hansson O, Seibyl J, Stomrud E, Zetterberg H, Trojanowski JQ, Bittner T, Lifke V, Corradini V, Eichenlaub U, Batrla R, Buck K, Zink K, Rabe C, Blennow K, Shaw LM. CSF biomarkers of Alzheimer's disease concord with amyloid-β PET and predict clinical progression: A study of fully automated immunoassays in BioFINDER and ADNI cohorts. Alzheimers Dement 2018; 14:1470-1481. [PMID: 29499171 PMCID: PMC6119541 DOI: 10.1016/j.jalz.2018.01.010] [Citation(s) in RCA: 531] [Impact Index Per Article: 75.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2017] [Revised: 01/12/2018] [Accepted: 01/15/2018] [Indexed: 12/11/2022]
Abstract
Introduction We studied whether fully automated Elecsys cerebrospinal fluid (CSF) immunoassay results were concordant with positron emission tomography (PET) and predicted clinical progression, even with cutoffs established in an independent cohort. Methods Cutoffs for Elecsys amyloid-β1–42 (Aβ), total tau/Aβ(1–42), and phosphorylated tau/Aβ(1–42) were defined against [18F]flutemetamol PET in Swedish BioFINDER (n = 277) and validated against [18F]florbetapir PET in Alzheimer’s Disease Neuroimaging Initiative (n = 646). Clinical progression in patients with mild cognitive impairment (n = 619) was studied. Results CSF total tau/Aβ(1–42) and phosphorylated tau/Aβ(1–42) ratios were highly concordant with PET classification in BioFINDER (overall percent agreement: 90%; area under the curve: 94%). The CSF biomarker statuses established by predefined cutoffs were highly concordant with PET classification in Alzheimer’s Disease Neuroimaging Initiative (overall percent agreement: 89%–90%; area under the curves: 96%) and predicted greater 2-year clinical decline in patients with mild cognitive impairment. Strikingly, tau/Aβ ratios were as accurate as semiquantitative PET image assessment in predicting visual read–based outcomes. Discussion Elecsys CSF biomarker assays may provide reliable alternatives to PET in Alzheimer’s disease diagnosis.
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Affiliation(s)
- Oskar Hansson
- Clinical Memory Research Unit, Lund University, Malmö, Sweden; Memory Clinic, Skåne University Hospital, Malmö, Sweden.
| | - John Seibyl
- Institute for Neurodegenerative Disorders, New Haven, CT, USA
| | - Erik Stomrud
- Clinical Memory Research Unit, Lund University, Malmö, Sweden; Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Henrik Zetterberg
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden; Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at University of Gothenburg, Mölndal, Sweden; Department of Molecular Neuroscience, UCL Institute of Neurology, Queen Square, London, UK; UK Dementia Research Institute, London, UK
| | - John Q Trojanowski
- Center for Neurodegenerative Disease Research, Institute on Aging and Department of Pathology and Laboratory Medicine, Philadelphia, PA, USA
| | - Tobias Bittner
- Former Employee of Roche Diagnostics GmbH, Penzberg, Germany
| | | | | | | | | | | | | | - Christina Rabe
- Former Employee of Roche Diagnostics GmbH, Penzberg, Germany
| | - Kaj Blennow
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden; Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at University of Gothenburg, Mölndal, Sweden.
| | - Leslie M Shaw
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
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308
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Lewczuk P, Matzen A, Blennow K, Parnetti L, Molinuevo JL, Eusebi P, Kornhuber J, Morris JC, Fagan AM. Cerebrospinal Fluid Aβ42/40 Corresponds Better than Aβ42 to Amyloid PET in Alzheimer's Disease. J Alzheimers Dis 2018; 55:813-822. [PMID: 27792012 PMCID: PMC5147502 DOI: 10.3233/jad-160722] [Citation(s) in RCA: 191] [Impact Index Per Article: 27.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Background: Decreased concentrations of amyloid-β 1-42 (Aβ42) in cerebrospinal fluid (CSF) and increased retention of Aβ tracers in the brain on positron emission tomography (PET) are considered the earliest biomarkers of Alzheimer’s disease (AD). However, a proportion of cases show discrepancies between the results of the two biomarker modalities which may reflect inter-individual differences in Aβ metabolism. The CSF Aβ42/40 ratio seems to be a more accurate biomarker of clinical AD than CSF Aβ42 alone. Objective: We tested whether CSF Aβ42 alone or the Aβ42/40 ratio corresponds better with amyloid PET status and analyzed the distribution of cases with discordant CSF-PET results. Methods: CSF obtained from a mixed cohort (n = 200) of cognitively normal and abnormal research participants who had undergone amyloid PET within 12 months (n = 150 PET-negative, n = 50 PET-positive according to a previously published cut-off) was assayed for Aβ42 and Aβ40 using two recently developed immunoassays. Optimal CSF cut-offs for amyloid positivity were calculated, and concordance was tested by comparison of the areas under receiver operating characteristic (ROC) curves (AUC) and McNemar’s test for paired proportions. Results: CSF Aβ42/40 corresponded better than Aβ42 with PET results, with a larger proportion of concordant cases (89.4% versus 74.9%, respectively, p < 0.0001) and a larger AUC (0.936 versus 0.814, respectively, p < 0.0001) associated with the ratio. For both CSF biomarkers, the percentage of CSF-abnormal/PET-normal cases was larger than that of CSF-normal/PET-abnormal cases. Conclusion: The CSF Aβ42/40 ratio is superior to Aβ42 alone as a marker of amyloid-positivity by PET. We hypothesize that this increase in performance reflects the ratio compensating for general between-individual variations in CSF total Aβ.
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Affiliation(s)
- Piotr Lewczuk
- Department of Psychiatry and Psychotherapy, Universitätsklinikum Erlangen, and Friedrich-Alexander-Universität, Erlangen-Nürnberg, Erlangen, Germany.,Department of Neurodegeneration Diagnostics, Medical University of Białystok, and Department of Biochemical Diagnostics, University Hospital of Bialystok, Bialystok, Poland
| | | | - Kaj Blennow
- Clinical Neurochemistry Laboratory, Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Lucilla Parnetti
- Section of Neurology, Center for Memory Disturbances, University of Perugia, Italy
| | - Jose Luis Molinuevo
- Alzheimer's disease and other cognitive disorders unit, Neurology Service, Hospital Clínic de Barcelona - Universitat de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.,Barcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain
| | - Paolo Eusebi
- Section of Neurology, Center for Memory Disturbances, University of Perugia, Italy
| | - Johannes Kornhuber
- Department of Psychiatry and Psychotherapy, Universitätsklinikum Erlangen, and Friedrich-Alexander-Universität, Erlangen-Nürnberg, Erlangen, Germany
| | - John C Morris
- The Knight Alzheimer's Disease Research Center, Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Anne M Fagan
- The Knight Alzheimer's Disease Research Center, Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
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Jessen F, Spottke A, Boecker H, Brosseron F, Buerger K, Catak C, Fliessbach K, Franke C, Fuentes M, Heneka MT, Janowitz D, Kilimann I, Laske C, Menne F, Nestor P, Peters O, Priller J, Pross V, Ramirez A, Schneider A, Speck O, Spruth EJ, Teipel S, Vukovich R, Westerteicher C, Wiltfang J, Wolfsgruber S, Wagner M, Düzel E. Design and first baseline data of the DZNE multicenter observational study on predementia Alzheimer's disease (DELCODE). ALZHEIMERS RESEARCH & THERAPY 2018; 10:15. [PMID: 29415768 PMCID: PMC5802096 DOI: 10.1186/s13195-017-0314-2] [Citation(s) in RCA: 145] [Impact Index Per Article: 20.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/28/2017] [Accepted: 10/04/2017] [Indexed: 11/10/2022]
Abstract
BACKGROUND Deep phenotyping and longitudinal assessment of predementia at-risk states of Alzheimer's disease (AD) are required to define populations and outcomes for dementia prevention trials. Subjective cognitive decline (SCD) is a pre-mild cognitive impairment (pre-MCI) at-risk state of dementia, which emerges as a highly promising target for AD prevention. METHODS The German Center for Neurodegenerative Diseases (DZNE) is conducting the multicenter DZNE-Longitudinal Cognitive Impairment and Dementia Study (DELCODE), which focuses on the characterization of SCD in patients recruited from memory clinics. In addition, individuals with amnestic MCI, mild Alzheimer's dementia patients, first-degree relatives of patients with Alzheimer's dementia, and cognitively unimpaired control subjects are studied. The total number of subjects to be enrolled is 1000. Participants receive extensive clinical and neuropsychological assessments, magnetic resonance imaging, positron emission tomography, and biomaterial collection is perfomed. In this publication, we report cognitive and clinical data as well as apolipoprotein E (APOE) genotype and cerebrospinal fluid (CSF) biomarker results of the first 394 baseline data sets. RESULTS In comparison with the control group, patients with SCD showed slightly poorer performance on cognitive and functional measures (Alzheimer's Disease Assessment Scale-cognitive part, Clinical Dementia Rating, Functional Activities Questionnaire), with all mean scores in a range which would be considered unimpaired. APOE4 genotype was enriched in the SCD group in comparison to what would be expected in the population and the frequency was significantly higher in comparison to the control group. CSF Aβ42 was lower in the SCD group in comparison to the control group at a statistical trend with age as a covariate. There were no group differences in Tau or pTau concentrations between the SCD and the control groups. The differences in all measures between the MCI group and the AD group were as expected. CONCLUSIONS The initial baseline data for DELCODE support the approach of using SCD in patients recruited through memory clinics as an enrichment strategy for late-stage preclinical AD. This is indicated by slightly lower performance in a range of measures in SCD in comparison to the control subjects as well as by enriched APOE4 frequency and lower CSF Aβ42 concentration. TRIAL REGISTRATION German Clinical Trials Register DRKS00007966 . Registered 4 May 2015.
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Affiliation(s)
- Frank Jessen
- German Center for Neurodegenerative Diseases (DZNE), Sigmund-Freud-Straße 27, 53127, Bonn, Germany. .,Department of Psychiatry, Medical Faculty, University of Cologne, Kerpener Straße 62, 50924, Cologne, Germany.
| | - Annika Spottke
- German Center for Neurodegenerative Diseases (DZNE), Sigmund-Freud-Straße 27, 53127, Bonn, Germany.,Department of Neurology, University of Bonn, Sigmund-Freud-Straße 25, 53127, Bonn, Germany
| | - Henning Boecker
- German Center for Neurodegenerative Diseases (DZNE), Sigmund-Freud-Straße 27, 53127, Bonn, Germany.,Department of Radiology, University of Bonn, Sigmund-Freud-Straße 25, 53127, Bonn, Germany
| | - Frederic Brosseron
- German Center for Neurodegenerative Diseases (DZNE), Sigmund-Freud-Straße 27, 53127, Bonn, Germany
| | - Katharina Buerger
- German Center for Neurodegenerative Diseases (DZNE), Feodor-Lynen-Straße 17, 81377, Munich, Germany.,Institute for Stroke and Dementia Research, Klinikum der Universität München, Feodor-Lynen-Straße 17, 81377, Munich, Germany
| | - Cihan Catak
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Feodor-Lynen-Straße 17, 81377, Munich, Germany
| | - Klaus Fliessbach
- German Center for Neurodegenerative Diseases (DZNE), Sigmund-Freud-Straße 27, 53127, Bonn, Germany.,Department of Neurodegenerative Diseases and Gerontopsychiatry, University of Bonn, Sigmund-Freud-Straße 25, 53127, Bonn, Germany.,Department of Psychiatry and Psychotherapy, University of Bonn, Sigmund-Freud-Straße 25, 53127, Bonn, Germany
| | - Christiana Franke
- Department of Psychiatry and Psychotherapy, Charité, Charitéplatz 1, 10117, Berlin, Germany
| | - Manuel Fuentes
- Department of Psychiatry and Psychotherapy, Charité, Hindenburgdamm 30, 12203, Berlin, Germany
| | - Michael T Heneka
- German Center for Neurodegenerative Diseases (DZNE), Sigmund-Freud-Straße 27, 53127, Bonn, Germany.,Department of Neurodegenerative Diseases and Gerontopsychiatry, University of Bonn, Sigmund-Freud-Straße 25, 53127, Bonn, Germany
| | - Daniel Janowitz
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Feodor-Lynen-Straße 17, 81377, Munich, Germany
| | - Ingo Kilimann
- German Center for Neurodegenerative Diseases (DZNE), Gehlsheimer Straße 20, 18147, Rostock, Germany.,Department of Psychosomatic Medicine, University of Rostock, Gehlsheimer Straße 20, 18147, Rostock, Germany
| | - Christoph Laske
- German Center for Neurodegenerative Diseases (DZNE), Otfried-Müller-Straße 23, 72076 Tübingen, Germany.,Section for Dementia Research, Hertie Institute for Clinical Brain Research and Department of Psychiatry and Psychotherapy, University of Tübingen, Calwerstraße 14, 72076 Tübingen, Germany
| | - Felix Menne
- Department of Psychiatry and Psychotherapy, Charité, Hindenburgdamm 30, 12203, Berlin, Germany
| | - Peter Nestor
- German Center for Neurodegenerative Diseases (DZNE), Leipziger Straße 44, 39120, Magdeburg, Germany
| | - Oliver Peters
- Department of Psychiatry and Psychotherapy, Charité, Hindenburgdamm 30, 12203, Berlin, Germany.,German Center for Neurodegenerative Diseases (DZNE), Charitéplatz 1, 10117 Berlin, Germany
| | - Josef Priller
- Department of Psychiatry and Psychotherapy, Charité, Charitéplatz 1, 10117, Berlin, Germany.,German Center for Neurodegenerative Diseases (DZNE), Charitéplatz 1, 10117 Berlin, Germany
| | - Verena Pross
- German Center for Neurodegenerative Diseases (DZNE), Sigmund-Freud-Straße 27, 53127, Bonn, Germany
| | - Alfredo Ramirez
- Department of Psychiatry, Medical Faculty, University of Cologne, Kerpener Straße 62, 50924, Cologne, Germany.,Department of Psychiatry and Psychotherapy, University of Bonn, Sigmund-Freud-Straße 25, 53127, Bonn, Germany.,Institute of Human Genetics, University of Bonn, Sigmund-Freud-Straße 25, 53127, Bonn, Germany
| | - Anja Schneider
- German Center for Neurodegenerative Diseases (DZNE), Sigmund-Freud-Straße 27, 53127, Bonn, Germany.,Department of Neurodegenerative Diseases and Gerontopsychiatry, University of Bonn, Sigmund-Freud-Straße 25, 53127, Bonn, Germany
| | - Oliver Speck
- Department of Biomedical Magnetic Resonance, Otto-von-Guericke University Magdeburg, Leipziger Straße 44, 39120, Magdeburg, Germany
| | - Eike Jakob Spruth
- Department of Psychiatry and Psychotherapy, Charité, Charitéplatz 1, 10117, Berlin, Germany
| | - Stefan Teipel
- German Center for Neurodegenerative Diseases (DZNE), Gehlsheimer Straße 20, 18147, Rostock, Germany.,Department of Psychosomatic Medicine, University of Rostock, Gehlsheimer Straße 20, 18147, Rostock, Germany
| | - Ruth Vukovich
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, University of Goettingen, Von-Siebold-Straße 5, 37075, Goettingen, Germany
| | - Christine Westerteicher
- German Center for Neurodegenerative Diseases (DZNE), Sigmund-Freud-Straße 27, 53127, Bonn, Germany.,Department of Psychiatry and Psychotherapy, University of Bonn, Sigmund-Freud-Straße 25, 53127, Bonn, Germany
| | - Jens Wiltfang
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, University of Goettingen, Von-Siebold-Straße 5, 37075, Goettingen, Germany.,German Center for Neurodegenerative Diseases (DZNE), 37075 Goettingen, Von-Siebold-Str. 3a, Germany.,iBiMED, Medical Sciences Department, University of Aveiro, Aveiro, Portugal
| | - Steffen Wolfsgruber
- German Center for Neurodegenerative Diseases (DZNE), Sigmund-Freud-Straße 27, 53127, Bonn, Germany.,Department of Psychiatry and Psychotherapy, University of Bonn, Sigmund-Freud-Straße 25, 53127, Bonn, Germany
| | - Michael Wagner
- German Center for Neurodegenerative Diseases (DZNE), Sigmund-Freud-Straße 27, 53127, Bonn, Germany.,Department of Neurodegenerative Diseases and Gerontopsychiatry, University of Bonn, Sigmund-Freud-Straße 25, 53127, Bonn, Germany.,Department of Psychiatry and Psychotherapy, University of Bonn, Sigmund-Freud-Straße 25, 53127, Bonn, Germany
| | - Emrah Düzel
- German Center for Neurodegenerative Diseases (DZNE), Leipziger Straße 44, 39120, Magdeburg, Germany
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310
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Lang B, Kindy MS, Kozel FA, Schultz SK, Taheri S. Multi-Parametric Classification of Vascular Cognitive Impairment and Dementia: The Impact of Diverse Cerebrovascular Injury Biomarkers. J Alzheimers Dis 2018; 62:39-60. [DOI: 10.3233/jad-170733] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Affiliation(s)
- Brittany Lang
- Clinical Psychology Program, University of South Florida, Tampa, FL, USA
| | - Mark S. Kindy
- Department of Pharmaceutical Sciences, College of Pharmacy, University of South Florida Tampa, FL, USA
- James A. Haley VA Medical Center, Tampa, FL, USA
| | - F. Andrew Kozel
- James A. Haley VA Medical Center, Tampa, FL, USA
- Psychiatry and Behavioral Sciences, University of South Florida, Tampa, FL, USA
| | - Susan K. Schultz
- James A. Haley VA Medical Center, Tampa, FL, USA
- Psychiatry and Behavioral Sciences, University of South Florida, Tampa, FL, USA
| | - Saeid Taheri
- Department of Pharmaceutical Sciences, College of Pharmacy, University of South Florida Tampa, FL, USA
- Byrd Alzheimer’s Institute, Tampa, FL, USA
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311
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Palmqvist S, Mattsson N, Hansson O. Reply: Do we still need positron emission tomography for early Alzheimer's disease diagnosis? Brain 2018; 139:e61. [PMID: 27383527 DOI: 10.1093/brain/aww169] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Affiliation(s)
- Sebastian Palmqvist
- Lund University, Department of Clinical Sciences in Malmö, Clinical Memory Research Unit, Sweden.,Neurology Clinic, Skåne University Hospital, Sweden
| | - Niklas Mattsson
- Lund University, Department of Clinical Sciences in Malmö, Clinical Memory Research Unit, Sweden.,Neurology Clinic, Skåne University Hospital, Sweden
| | - Oskar Hansson
- Lund University, Department of Clinical Sciences in Malmö, Clinical Memory Research Unit, Sweden.,Memory Clinic, Skåne University Hospital, Sweden
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312
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De Vos A, Struyfs H, Jacobs D, Fransen E, Klewansky T, De Roeck E, Robberecht C, Van Broeckhoven C, Duyckaerts C, Engelborghs S, Vanmechelen E. The Cerebrospinal Fluid Neurogranin/BACE1 Ratio is a Potential Correlate of Cognitive Decline in Alzheimer's Disease. J Alzheimers Dis 2018; 53:1523-38. [PMID: 27392859 PMCID: PMC4981899 DOI: 10.3233/jad-160227] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Background: In diagnosing Alzheimer’s disease (AD), ratios of cerebrospinal fluid (CSF) biomarkers, such as CSF Aβ1-42/tau, have an improved diagnostic performance compared to the single analytes, yet, still a limited value to predict cognitive decline. Since synaptic dysfunction/loss is closely linked to cognitive impairment, synaptic proteins are investigated as candidate CSF AD progression markers. Objective: We studied CSF levels of the postsynaptic protein neurogranin and protein BACE1, predominantly localized presynaptically, and their relation to CSF total-tau, Aβ1-42, Aβ1-40, and Aβ1-38. All six analytes were considered as single parameters as well as ratios. Methods: Every ELISA involved was based on monoclonal antibodies, including the BACE1 and neurogranin immunoassay. The latter specifically targets neurogranin C-terminally truncated at P75, a more abundant species of the protein in CSF. We studied patients with MCI due to AD (n = 38) and 50 dementia due to AD patients, as well as age-matched cognitively healthy elderly (n = 20). A significant subset of the patients was followed up by clinical and neuropsychologically (MMSE) examinations for at least one year. Results: The single analytes showed statistically significant differences between the clinical groups, but the ratios of analytes indeed had a higher diagnostic performance. Furthermore, only the ratio of CSF neurogranin trunc P75/BACE1 was significantly correlated with the yearly decline in MMSE scores in patients with MCI and dementia due to AD, pointing toward the prognostic value of the ratio. Conclusion: This is the first study demonstrating that the CSF neurogranin trunc P75/BACE1 ratio, reflecting postsynaptic/presynaptic integrity, is related to cognitive decline.
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Affiliation(s)
- Ann De Vos
- ADx NeuroSciences NV, Technologiepark Zwijnaarde 4, 9052 Gent, Belgium
| | - Hanne Struyfs
- Reference Center for Biological Markers of Dementia (BIODEM), Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Dirk Jacobs
- ADx NeuroSciences NV, Technologiepark Zwijnaarde 4, 9052 Gent, Belgium
| | - Erik Fransen
- StatUa Center for Statistics, University of Antwerp, Antwerp, Belgium
| | - Tom Klewansky
- Department of Neuropathology, Pitié-Salpêtrière Hospital, Paris, France
| | - Ellen De Roeck
- Reference Center for Biological Markers of Dementia (BIODEM), Institute Born-Bunge, University of Antwerp, Antwerp, Belgium.,Developmental and Lifespan Psychology, Vrije Universiteit Brussel, Brussels, Belgium
| | - Caroline Robberecht
- Neurodegenerative Brain Diseases Group, VIB Department of Molecular Genetics, Antwerp, Belgium.,Laboratory of Neurogenetics, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Christine Van Broeckhoven
- Neurodegenerative Brain Diseases Group, VIB Department of Molecular Genetics, Antwerp, Belgium.,Laboratory of Neurogenetics, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | | | - Sebastiaan Engelborghs
- Reference Center for Biological Markers of Dementia (BIODEM), Institute Born-Bunge, University of Antwerp, Antwerp, Belgium.,Department of Neurology and Memory Clinic, Hospital Network Antwerp (ZNA) Middelheim and Hoge Beuken, Antwerp, Belgium
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313
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Vanderstichele HMJ, Janelidze S, Demeyer L, Coart E, Stoops E, Herbst V, Mauroo K, Brix B, Hansson O. Optimized Standard Operating Procedures for the Analysis of Cerebrospinal Fluid Aβ42 and the Ratios of Aβ Isoforms Using Low Protein Binding Tubes. J Alzheimers Dis 2018; 53:1121-32. [PMID: 27258423 PMCID: PMC4981898 DOI: 10.3233/jad-160286] [Citation(s) in RCA: 56] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Background: Reduced cerebrospinal fluid (CSF) concentration of amyloid-β1-42 (Aβ1-42) reflects the presence of amyloidopathy in brains of subjects with Alzheimer’s disease (AD). Objective: To qualify the use of Aβ1-42/Aβ1-40 for improvement of standard operating procedures (SOP) for measurement of CSF Aβ with a focus on CSF collection, storage, and analysis. Methods: Euroimmun ELISAs for CSF Aβ isoforms were used to set up a SOP with respect to recipient properties (low binding, polypropylene), volume of tubes, freeze/thaw cycles, addition of detergents (Triton X-100, Tween-20) in collection or storage tubes or during CSF analysis. Data were analyzed with linear repeated measures and mixed effects models. Results: Optimization of CSF analysis included a pre-wash of recipients (e.g., tubes, 96-well plates) before sample analysis. Using the Aβ1-42/Aβ1-40 ratio, in contrast to Aβ1-42, eliminated effects of tube type, additional freeze/thaw cycles, or effect of CSF volumes for polypropylene storage tubes. ‘Low binding’ tubes reduced the loss of Aβ when aliquoting CSF or in function of additional freeze/thaw cycles. Addition of detergent in CSF collection tubes resulted in an almost complete absence of variation in function of collection procedures, but affected the concentration of Aβ isoforms in the immunoassay. Conclusion: The ratio of Aβ1-42/Aβ1-40 is a more robust biomarker than Aβ1-42 toward (pre-) analytical interfering factors. Further, ‘low binding’ recipients and addition of detergent in collection tubes are able to remove effects of SOP-related confounding factors. Integration of the Aβ1-42/Aβ1-40 ratio and ‘low-binding tubes’ into guidance criteria may speed up worldwide standardization of CSF biomarker analysis.
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Affiliation(s)
| | - Shorena Janelidze
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Sweden
| | | | | | | | - Victor Herbst
- Euroimmun Medizinische Labordiagnostika, Lübeck, Germany
| | | | - Britta Brix
- Euroimmun Medizinische Labordiagnostika, Lübeck, Germany
| | - Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Sweden.,Memory Clinic, Skåne University Hospital, Sweden
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314
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Crosnier de Lassichère C, Mai TD, Otto M, Taverna M. Online Preconcentration in Capillaries by Multiple Large-Volume Sample Stacking: An Alternative to Immunoassays for Quantification of Amyloid Beta Peptides Biomarkers in Cerebrospinal Fluid. Anal Chem 2018; 90:2555-2563. [DOI: 10.1021/acs.analchem.7b03843] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Affiliation(s)
- Cédric Crosnier de Lassichère
- Institut Galien
Paris Sud, UMR 8612, Protein and Nanotechnology in Analytical Science (PNAS), CNRS,
Univ. Paris-Sud, Univ. Paris-Saclay, 5 rue Jean Baptiste Clément, 92290 Châtenay-Malabry, France
| | - Thanh Duc Mai
- Institut Galien
Paris Sud, UMR 8612, Protein and Nanotechnology in Analytical Science (PNAS), CNRS,
Univ. Paris-Sud, Univ. Paris-Saclay, 5 rue Jean Baptiste Clément, 92290 Châtenay-Malabry, France
| | - Markus Otto
- University of Ulm, Department of Neurology, Oberer Eselsberg 45, 89081 Ulm, Germany
| | - Myriam Taverna
- Institut Galien
Paris Sud, UMR 8612, Protein and Nanotechnology in Analytical Science (PNAS), CNRS,
Univ. Paris-Sud, Univ. Paris-Saclay, 5 rue Jean Baptiste Clément, 92290 Châtenay-Malabry, France
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315
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Klafki HW, Hafermann H, Bauer C, Haussmann U, Kraus I, Schuchhardt J, Muck S, Scherbaum N, Wiltfang J. Validation of a Commercial Chemiluminescence Immunoassay for the Simultaneous Measurement of Three Different Amyloid-β Peptides in Human Cerebrospinal Fluid and Application to a Clinical Cohort. J Alzheimers Dis 2018; 54:691-705. [PMID: 27567847 DOI: 10.3233/jad-160398] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
A comprehensive assay validation campaign of a commercially available chemiluminescence multiplex immunoassay for the simultaneous measurement of the amyloid-β peptides Aβ38, Aβ40, and Aβ42 in human cerebrospinal fluid (CSF) is presented. The assay quality parameters we addressed included impact of sample dilution, parallelism, lower limits of detection, lower limits of quantification, intra- and inter-assay repeatability, analytical spike recoveries, and between laboratory reproducibility of the measurements. The assay performed well in our hands and fulfilled a number of predefined acceptance criteria. The CSF levels of Aβ40 and Aβ42 determined in a clinical cohort (n = 203) were statistically significantly correlated with available ELISA data of Aβ1-40 (n = 158) and Aβ1-42 (n = 179) from a different laboratory. However, Bland-Altman method comparison indicated systematic differences between the assays. The data presented here furthermore indicate that the CSF concentration of Aβ40 can surrogate total CSF Aβ and support the hypothesis that the Aβ42/Aβ40 ratio outperforms CSF Aβ42 alone as a biomarker for Alzheimer's disease due to a normalization to total Aβ levels.
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Affiliation(s)
- Hans-W Klafki
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, Georg-August-University, Goettingen, Germany
| | - Henning Hafermann
- LVR-Klinikum Essen, Department of Psychiatry and Psychotherapy, Faculty of Medicine, University of Duisburg-Essen, Essen, Germany
| | | | - Ute Haussmann
- LVR-Klinikum Essen, Department of Psychiatry and Psychotherapy, Faculty of Medicine, University of Duisburg-Essen, Essen, Germany
| | - Inga Kraus
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, Georg-August-University, Goettingen, Germany.,German Center for Neurodegenerative Diseases (DZNE), Research Site Goettingen, Germany
| | | | - Stephan Muck
- Memory Clinic at the Elisabeth Hospital, Geriatrie-Zentrum Haus Berge, Essen, Germany
| | - Norbert Scherbaum
- LVR-Klinikum Essen, Department of Psychiatry and Psychotherapy, Faculty of Medicine, University of Duisburg-Essen, Essen, Germany
| | - Jens Wiltfang
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, Georg-August-University, Goettingen, Germany.,German Center for Neurodegenerative Diseases (DZNE), Research Site Goettingen, Germany
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316
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Steen Jensen C, Portelius E, Siersma V, Høgh P, Wermuth L, Blennow K, Zetterberg H, Waldemar G, Gregers Hasselbalch S, Hviid Simonsen A. Cerebrospinal Fluid Amyloid Beta and Tau Concentrations Are Not Modulated by 16 Weeks of Moderate- to High-Intensity Physical Exercise in Patients with Alzheimer Disease. Dement Geriatr Cogn Disord 2018; 42:146-158. [PMID: 27643858 DOI: 10.1159/000449408] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/02/2016] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Physical exercise may have some effect on cognition in patients with Alzheimer disease (AD). However, the underlying biochemical effects are unclear. Animal studies have shown that amyloid beta (Aβ), one of the pathological hallmarks of AD, can be altered with high levels of physical activity. AIM The objective of this study was to elucidate the effect of 16 weeks of moderate- to high-intensity physical exercise on the biomarkers of AD, with special emphasis on the amyloidogenic pathway. METHODS From a total of 53 patients with AD participating in the Preserving Cognition, Quality of Life, Physical Health and Functional Ability in Alzheimer's Disease: The Effect of Physical Exercise (ADEX) study we analyzed cerebrospinal fluid samples for Aβ species, total tau (t-tau), phosphorylated tau (p-tau) and soluble amyloid precursor protein (sAPP) species. We also assessed the patients for apolipoprotein E ε4 (ApoE ε4) genotype. RESULTS We found no effect of 16 weeks of physical exercise on the selected biomarkers, and no effect of ApoE ε4 genotype. CONCLUSION Our findings suggest that the possible effect of physical exercise on cognition in patients with AD is not due to modulation of Aβ, t-tau, p-tau and sAPP species.
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Affiliation(s)
- Camilla Steen Jensen
- Danish Dementia Research Centre, Department of Neurology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
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317
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Gille B, Dedeene L, Stoops E, Demeyer L, Francois C, Lefever S, De Schaepdryver M, Brix B, Vandenberghe R, Tournoy J, Vanderstichele H, Poesen K. Automation on an Open-Access Platform of Alzheimer's Disease Biomarker Immunoassays. SLAS Technol 2018; 23:188-197. [PMID: 29346009 DOI: 10.1177/2472630317750378] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
The lack of (inter-)laboratory standardization has hampered the application of universal cutoff values for Alzheimer's disease (AD) cerebrospinal fluid (CSF) biomarkers and their transfer to general clinical practice. The automation of the AD biomarker immunoassays is suggested to generate more robust results than using manual testing. Open-access platforms will facilitate the integration of automation for novel biomarkers, allowing the introduction of the protein profiling concept. A feasibility study was performed on an automated open-access platform of the commercial immunoassays for the 42-amino-acid isoform of amyloid-β (Aβ1-42), Aβ1-40, and total tau in CSF. Automated Aβ1-42, Aβ1-40, and tau immunoassays were performed within predefined acceptance criteria for bias and imprecision. Similar accuracy was obtained for ready-to-use calibrators as for reconstituted lyophilized kit calibrators. When compared with the addition of a standard curve in each test run, the use of a master calibrator curve, determined before and applied to each batch analysis as the standard curve, yielded an acceptable overall bias of -2.6% and -0.9% for Aβ1-42 and Aβ1-40, respectively, with an imprecision profile of 6.2% and 8.4%, respectively. Our findings show that transfer of commercial manual immunoassays to fully automated open-access platforms is feasible, as it performs according to universal acceptance criteria.
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Affiliation(s)
- Benjamin Gille
- 1 Laboratory for Molecular Neurobiomarker Research, Department of Neurosciences, KU Leuven, Leuven, Belgium.,2 Department of Chronic Disease, Metabolism and Ageing, KU Leuven, Leuven, Belgium
| | - Lieselot Dedeene
- 1 Laboratory for Molecular Neurobiomarker Research, Department of Neurosciences, KU Leuven, Leuven, Belgium
| | | | | | | | - Stefanie Lefever
- 1 Laboratory for Molecular Neurobiomarker Research, Department of Neurosciences, KU Leuven, Leuven, Belgium
| | - Maxim De Schaepdryver
- 1 Laboratory for Molecular Neurobiomarker Research, Department of Neurosciences, KU Leuven, Leuven, Belgium.,4 Laboratory Medicine, University Hospitals Leuven, Leuven, Belgium
| | | | - Rik Vandenberghe
- 6 Department of Neurology, University Hospitals Leuven, Leuven, Belgium.,7 Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, Leuven, Belgium.,8 Alzheimer Research Centre KU Leuven, Leuven Institute of Neuroscience and Disease, Leuven, Belgium
| | - Jos Tournoy
- 2 Department of Chronic Disease, Metabolism and Ageing, KU Leuven, Leuven, Belgium.,8 Alzheimer Research Centre KU Leuven, Leuven Institute of Neuroscience and Disease, Leuven, Belgium.,9 Department of Clinical and Experimental Medicine, KU Leuven, Leuven, Belgium
| | | | - Koen Poesen
- 1 Laboratory for Molecular Neurobiomarker Research, Department of Neurosciences, KU Leuven, Leuven, Belgium.,4 Laboratory Medicine, University Hospitals Leuven, Leuven, Belgium
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318
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Borroni B, Benussi A, Premi E, Alberici A, Marcello E, Gardoni F, Di Luca M, Padovani A. Biological, Neuroimaging, and Neurophysiological Markers in Frontotemporal Dementia: Three Faces of the Same Coin. J Alzheimers Dis 2018; 62:1113-1123. [PMID: 29171998 PMCID: PMC5870000 DOI: 10.3233/jad-170584] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/06/2017] [Indexed: 12/12/2022]
Abstract
Frontotemporal dementia (FTD) is a heterogeneous clinical, genetic, and neuropathological disorder. Clinical diagnosis and prediction of neuropathological substrates are hampered by heterogeneous pictures. Diagnostic markers are key in clinical trials to differentiate FTD from other neurodegenerative dementias. In the same view, identifying the neuropathological hallmarks of the disease is key in light of future disease-modifying treatments. The aim of the present review is to unravel the progress in biomarker discovery, discussing the potential applications of available biological, imaging, and neurophysiological markers.
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Affiliation(s)
- Barbara Borroni
- Department of Clinical and Experimental Sciences, Neurology Unit, University of Brescia, Brescia, Italy
| | - Alberto Benussi
- Department of Clinical and Experimental Sciences, Neurology Unit, University of Brescia, Brescia, Italy
| | - Enrico Premi
- Department of Clinical and Experimental Sciences, Neurology Unit, University of Brescia, Brescia, Italy
| | - Antonella Alberici
- Department of Clinical and Experimental Sciences, Neurology Unit, University of Brescia, Brescia, Italy
| | - Elena Marcello
- Department of Pharmacological and Biomolecular Sciences, University of Milan, Milan, Italy
| | - Fabrizio Gardoni
- Department of Pharmacological and Biomolecular Sciences, University of Milan, Milan, Italy
| | - Monica Di Luca
- Department of Pharmacological and Biomolecular Sciences, University of Milan, Milan, Italy
| | - Alessandro Padovani
- Department of Clinical and Experimental Sciences, Neurology Unit, University of Brescia, Brescia, Italy
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Vogelgsang J, Wedekind D, Bouter C, Klafki HW, Wiltfang J. Reproducibility of Alzheimer's Disease Cerebrospinal Fluid-Biomarker Measurements under Clinical Routine Conditions. J Alzheimers Dis 2018; 62:203-212. [PMID: 29439341 PMCID: PMC5817906 DOI: 10.3233/jad-170793] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/28/2017] [Indexed: 01/01/2023]
Abstract
Analysis of cerebrospinal fluid (CSF) is one of the key tools for the state-of-the-art differential diagnosis of dementias. Dementia due to Alzheimer's disease (AD) is characterized by elevated CSF levels of total Tau (tTau) and phospho-181-Tau (pTau) and low CSF amyloid-β42 (Aβ42). Discrepancies in the laboratory analysis of human materials are well known and much effort has been put into harmonization procedures. In this study, we measured CSF biomarkers of more than 100 patients obtained under clinical routine conditions in two different clinical laboratories. The CSF biomarker levels obtained from the two different sites were significantly correlated: R2 = 0.7129 (tTau, p < 0.001), 0.7914 (pTau, p < 0.001), 0.5078 (Aβ42, p < 0.001), 0.5739 (Aβ40, p < 0.001), and 0.4308 (Aβ42/40, p < 0.001). However, the diagnostic classifications of the Aβ42, tTau, and pTau levels of identical subjects into normal versus pathological range made by the two different sites showed substantial discrepancies (31.5%, 29.6%, and 25.0% discordant cases, respectively). Applying Aβ42/40, instead of CSF Aβ42 alone, lead to a reduction of the discordant cases to 16.8%. Our findings suggest that CSF Aβ42/40 can outperform Aβ42 as a biomarker for AD neuropathology, not only under well-controlled study conditions but also in real life clinical routine. Thus, we recommend the inclusion of Aβ42/40 as a CSF biomarker in the diagnostic procedure.
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Affiliation(s)
- Jonathan Vogelgsang
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen (UMG), Georg-August-University, Goettingen, Germany
| | - Dirk Wedekind
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen (UMG), Georg-August-University, Goettingen, Germany
| | - Caroline Bouter
- Department of Nuclear Medicine, University Medical Center Goettingen (UMG), Georg-August-University, Goettingen, Germany
| | - Hans-W. Klafki
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen (UMG), Georg-August-University, Goettingen, Germany
| | - Jens Wiltfang
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen (UMG), Georg-August-University, Goettingen, Germany
- German Center for Neurodegenerative Diseases (DZNE), Goettingen, Germany
- Department of Medical Science, iBiMED, University of Aveiro, Portugal
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321
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Janelidze S, Pannee J, Mikulskis A, Chiao P, Zetterberg H, Blennow K, Hansson O. Concordance Between Different Amyloid Immunoassays and Visual Amyloid Positron Emission Tomographic Assessment. JAMA Neurol 2017; 74:1492-1501. [PMID: 29114726 DOI: 10.1001/jamaneurol.2017.2814] [Citation(s) in RCA: 104] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Importance Visual assessment of amyloid positron emission tomographic (PET) images has been approved by regulatory authorities for clinical use. Several immunoassays have been developed to measure β-amyloid (Aβ) 42 in cerebrospinal fluid (CSF). The agreement between CSF Aβ42 measures from different immunoassays and visual PET readings may influence the use of CSF biomarkers and/or amyloid PET assessment in clinical practice and trials. Objective To determine the concordance between CSF Aβ42 levels measured using 5 different immunoassays and visual amyloid PET analysis. Design, Setting, and Participants The study included 262 patients with mild cognitive impairment or subjective cognitive decline from the Swedish BioFINDER (Biomarkers for Identifying Neurodegenerative Disorders Early and Reliably) cohort (recruited from September 1, 2010, through December 31, 2014) who had undergone flutemetamol F 18 ([18F]flutemetamol)-labeled PET. Levels of CSF Aβ42 were analyzed using the classic INNOTEST and the newer modified INNOTEST, fully automated Lumipulse (FL), EUROIMMUN (EI), and Meso Scale Discovery (MSD) assays. Concentrations of CSF Aβ were assessed using an antibody-independent mass spectrometry-based reference measurement procedure. Main Outcomes and Measures The concordance of CSF Aβ42 levels and Aβ42:Aβ40 and Aβ42:tau ratios with visual [18F]flutemetamol PET status. Results Of 262 participants (mean [SD] age, 70.9 [5.5] years), 108 were women (41.2%) and 154 were men (58.8%). The mass spectrometry-derived Aβ42 values showed higher correlations with the modified Aβ42-INNOTEST (r = 0.97), Aβ42-FL (r = 0.93), Aβ42-EI (r = 0.93), and Aβ42-MSD (r = 0.95) assays compared with the classic Aβ42-INNOTEST assay (r = 0.88; P ≤ .01). The signal in the classic Aβ42-INNOTEST assay was partly quenched by recombinant Aβ1-40 peptide. However, the classic Aβ42-INNOTEST assay showed better concordance with visual [18F]flutemetamol PET status (area under the receiver operating characteristic curve [AUC], 0.92) compared with the newer assays (AUCs, 0.87-0.89; P ≤ .01). The accuracies of the newer assays improved significantly when Aβ42:Aβ40 (AUCs, 0.93-0.95; P ≤ .01), Aβ42 to total tau (T-tau) (AUCs, 0.94; P ≤ .05), or Aβ42 to phosphorylated tau (P-tau) (AUCs, 0.94-0.95; P ≤ .001) ratios were used. A combination of the Aβ42:Aβ40 ratio and T-tau or P-tau level did not improve the accuracy compared with the ratio alone. Conclusions and Relevance Concentrations of CSF Aβ42 derived from the new immunoassays (modified INNOTEST, FL, EI, and MSD) may correlate better with the antibody-independent mass spectrometry-based reference measurement procedure and may show improved agreement with visual [18F]flutemetamol PET assessment when using the Aβ42:Aβ40 or Aβ42:tau ratios. These findings suggest the benefit of implementing the CSF Aβ42:Aβ40 or Aβ42:tau ratios as a biomarker of amyloid deposition in clinical practice and trials.
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Affiliation(s)
- Shorena Janelidze
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
| | - Josef Pannee
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, the Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | | | | | - Henrik Zetterberg
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, the Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Gothenburg, Sweden.,Department of Molecular Neuroscience, University College London Institute of Neurology, Queen Square, London, England
| | - Kaj Blennow
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, the Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden.,Memory Clinic, Skåne University Hospital, Malmö, Sweden
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322
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Voevodskaya O, Pereira JB, Volpe G, Lindberg O, Stomrud E, van Westen D, Westman E, Hansson O. Altered structural network organization in cognitively normal individuals with amyloid pathology. Neurobiol Aging 2017; 64:15-24. [PMID: 29316528 DOI: 10.1016/j.neurobiolaging.2017.11.014] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2017] [Revised: 11/10/2017] [Accepted: 11/30/2017] [Indexed: 01/04/2023]
Abstract
Recent findings show that structural network topology is disrupted in Alzheimer's disease (AD), with changes occurring already at the prodromal disease stages. Amyloid accumulation, a hallmark of AD, begins several decades before symptom onset, and its effects on brain connectivity at the earliest disease stages are not fully known. We studied global and local network changes in a large cohort of cognitively healthy individuals (N = 299, Swedish BioFINDER study) with and without amyloid-β (Aβ) pathology (based on cerebrospinal fluid Aβ42/Aβ40 levels). Structural correlation matrices were constructed based on magnetic resonance imaging cortical thickness data. Despite the fact that no significant regional cortical atrophy was found in the Aβ-positive group, this group exhibited an altered global network organization, including decreased global efficiency and modularity. At the local level, Aβ-positive individuals displayed fewer and more disorganized modules as well as a loss of hubs. Our findings suggest that changes in network topology occur already at the presymptomatic (preclinical) stage of AD and may precede detectable cortical thinning.
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Affiliation(s)
- Olga Voevodskaya
- Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Stockholm, Sweden.
| | - Joana B Pereira
- Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Stockholm, Sweden
| | - Giovanni Volpe
- Department of Physics, University of Gothenburg, Gothenburg, Sweden
| | - Olof Lindberg
- Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Stockholm, Sweden
| | - Erik Stomrud
- Memory Clinic, Skåne University Hospital, Malmö, Sweden; Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Danielle van Westen
- Department of Clinical Sciences, Diagnostic radiology, Lund University, Lund, Sweden; Imaging and Function, Skåne University Health Care, Lund, Sweden
| | - Eric Westman
- Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Stockholm, Sweden
| | - Oskar Hansson
- Memory Clinic, Skåne University Hospital, Malmö, Sweden; Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, Malmö, Sweden
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323
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Svärd D, Nilsson M, Lampinen B, Lätt J, Sundgren PC, Stomrud E, Minthon L, Hansson O, van Westen D. The effect of white matter hyperintensities on statistical analysis of diffusion tensor imaging in cognitively healthy elderly and prodromal Alzheimer's disease. PLoS One 2017; 12:e0185239. [PMID: 28934374 PMCID: PMC5608410 DOI: 10.1371/journal.pone.0185239] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2017] [Accepted: 09/09/2017] [Indexed: 11/20/2022] Open
Abstract
Diffusion tensor imaging (DTI) has been used to study microstructural white matter alterations in a variety of conditions including normal aging and Alzheimer's disease (AD). White matter hyperintensities (WMH) are common in cognitively healthy elderly as well as in AD and exhibit elevated mean diffusivity (MD) and reduced fractional anisotropy (FA). However, the effect of WMH on statistical analysis of DTI estimates has not been thoroughly studied. In the present study we address this in two ways. First, we investigate the effect of WMH on MD and FA in the dorsal and ventral cingulum, the superior longitudinal fasciculus, and the corticospinal tract, by comparing two matched groups of cognitively healthy elderly (n = 21 + 21) with unequal WMH load. Second, we assess the effects of adjusting for WMH load when comparing MD and FA in prodromal AD subjects (n = 83) to cognitively healthy elderly (n = 132) in the abovementioned white matter tracts. Results showed the WMH in cognitively healthy elderly to have a generally large effect on DTI estimates (Cohen’s d = 0.63 to 1.27 for significant differences in MD and −1.06 to −0.69 for FA). These effect sizes were comparable to those of various neurological and psychiatric diseases (Cohen’s d = 0.57 to 2.20 for differences in MD and −1.76 to −0.61 for FA). Adjusting for WMH when comparing DTI estimates in prodromal AD subjects to cognitively healthy elderly improved the explanatory power as well as the outcome of the analysis, indicating that some of the differences in MD and FA were largely driven by unequal WMH load between the groups rather than alterations in normal-appearing white matter (NAWM). Thus, our findings suggest that if the purpose of a study is to compare alterations in NAWM between two groups using DTI it may be necessary to adjust the statistical analysis for WMH.
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Affiliation(s)
- Daniel Svärd
- Diagnostic Radiology, Lund University, Lund, Sweden
- Medical Imaging and Physiology, Skåne University Hospital, Lund, Sweden
- * E-mail:
| | - Markus Nilsson
- Lund University Bioimaging Center, Lund University, Lund, Sweden
| | - Björn Lampinen
- Medical Radiation Physics, Lund University, Lund, Sweden
| | - Jimmy Lätt
- Medical Imaging and Physiology, Skåne University Hospital, Lund, Sweden
| | - Pia C. Sundgren
- Diagnostic Radiology, Lund University, Lund, Sweden
- Medical Imaging and Physiology, Skåne University Hospital, Lund, Sweden
| | - Erik Stomrud
- Clinical Memory Research, Lund University, Malmoö, Sweden
| | | | - Oskar Hansson
- Clinical Memory Research, Lund University, Malmoö, Sweden
- Memory Clinic, Skåne University Hospital, Lund, Sweden
| | - Danielle van Westen
- Diagnostic Radiology, Lund University, Lund, Sweden
- Medical Imaging and Physiology, Skåne University Hospital, Lund, Sweden
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324
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Plasma amyloid β 42/40 ratios as biomarkers for amyloid β cerebral deposition in cognitively normal individuals. ALZHEIMER'S & DEMENTIA: DIAGNOSIS, ASSESSMENT & DISEASE MONITORING 2017; 8:179-187. [PMID: 28948206 PMCID: PMC5602863 DOI: 10.1016/j.dadm.2017.07.004] [Citation(s) in RCA: 121] [Impact Index Per Article: 15.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
INTRODUCTION Plasma amyloid β (Aβ) peptides have been previously studied as candidate biomarkers to increase recruitment efficiency in secondary prevention clinical trials for Alzheimer's disease. METHODS Free and total Aβ42/40 plasma ratios (FP42/40 and TP42/40, respectively) were determined using ABtest assays in cognitively normal subjects from the Australian Imaging, Biomarker and Lifestyle Flagship Study. This population was followed-up for 72 months and their cortical Aβ burden was assessed with positron emission tomography. RESULTS Cross-sectional and longitudinal analyses showed an inverse association of Aβ42/40 plasma ratios and cortical Aβ burden. Optimized as a screening tool, TP42/40 reached 81% positive predictive value of high cortical Aβ burden, which represents 110% increase over the population prevalence of cortical Aβ positivity. DISCUSSION These findings support the use of plasma Aβ42/40 ratios as surrogate biomarkers of cortical Aβ deposition and enrichment tools, reducing the number of subjects submitted to invasive tests and, consequently, recruitment costs in clinical trials targeting cognitively normal individuals.
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325
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Tau plasma levels in subjective cognitive decline: Results from the DELCODE study. Sci Rep 2017; 7:9529. [PMID: 28842559 PMCID: PMC5573353 DOI: 10.1038/s41598-017-08779-0] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2017] [Accepted: 07/18/2017] [Indexed: 12/23/2022] Open
Abstract
Previous studies have demonstrated increased tau plasma levels in patients with Alzheimer’s disease (AD) and mild cognitive impairment (MCI) due to AD. Much less is known whether increased tau plasma levels can already be detected in the pre-MCI stage of subjective cognitive decline (SCD). In the present study we measured tau plasma levels in 111 SCD patients and 134 age- and gender-matched cognitively healthy controls participating in the DZNE (German Center for Neurodegenerative Diseases) longitudinal study on cognition and dementia (DELCODE). Tau plasma levels were measured using ultra-sensitive, single-molecule array (Simoa) technology. We found no significant different tau plasma levels in SCD (3.4 pg/ml) compared with healthy controls (3.6 pg/ml) after controlling for age, gender, and education (p = 0.137). In addition, tau plasma levels did not correlate with Aβ42 (r = 0.073; p = 0.634), tau (r = −0.179; p = 0.240), and p-tau181 (r = −0.208; p = 0.171) cerebrospinal fluid (CSF) levels in a subgroup of 45 SCD patients with available CSF. In conclusion, plasma tau is not increased in SCD patients. In addition, the lack of correlation between tau in plasma and CSF in the examined cohort suggests that tau levels are affected by different factors in both biofluids.
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326
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Abstract
The utility of the levels of amyloid beta (Aβ) peptide and tau in blood for diagnosis, drug development, and assessment of clinical trials for Alzheimer's disease (AD) has not been established. The lack of availability of ultra-sensitive assays is one critical issue that has impeded progress. The levels of Aβ species and tau in plasma and serum are much lower than levels in cerebrospinal fluid. Furthermore, plasma or serum contain high levels of assay-interfering factors, resulting in difficulties in the commonly used singulex or multiplex ELISA platforms. In this review, we focus on two modern immune-complex-based technologies that show promise to advance this field. These innovative technologies are immunomagnetic reduction technology and single molecule array technology. We describe the technologies and discuss the published studies using these technologies. Currently, the potential of utilizing these technologies to advance Aβ and tau as blood-based biomarkers for AD requires further validation using already collected large sets of samples, as well as new cohorts and population-based longitudinal studies.
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327
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Abstract
The most definitive classification systems for dementia are based on the underlying pathology which, in turn, is categorized largely according to the observed accumulation of abnormal protein aggregates in neurons and glia. These aggregates perturb molecular processes, cellular functions and, ultimately, cell survival, with ensuing disruption of large-scale neural networks subserving cognitive, behavioural and sensorimotor functions. The functional domains affected and the evolution of deficits in these domains over time serve as footprints that the clinician can trace back with various levels of certainty to the underlying neuropathology. The process of phenotyping and syndromic classification has substantially improved over decades of careful clinicopathological correlation, and through the discovery of in vivo biomarkers of disease. Here, we present an overview of the salient features of the most common dementia subtypes - Alzheimer disease, vascular dementia, frontotemporal dementia and related syndromes, Lewy body dementias, and prion diseases - with an emphasis on neuropathology, relevant epidemiology, risk factors, and signature signs and symptoms.
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328
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Sprecher KE, Koscik RL, Carlsson CM, Zetterberg H, Blennow K, Okonkwo OC, Sager MA, Asthana S, Johnson SC, Benca RM, Bendlin BB. Poor sleep is associated with CSF biomarkers of amyloid pathology in cognitively normal adults. Neurology 2017; 89:445-453. [PMID: 28679595 DOI: 10.1212/wnl.0000000000004171] [Citation(s) in RCA: 159] [Impact Index Per Article: 19.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2016] [Accepted: 04/14/2017] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To determine the relationship between sleep quality and CSF markers of Alzheimer disease (AD) pathology in late midlife. METHODS We investigated the relationship between sleep quality and CSF AD biomarkers in a cohort enriched for parental history of sporadic AD, the Wisconsin Registry for Alzheimer's Prevention. A total of 101 participants (mean age 62.9 ± 6.2 years, 65.3% female) completed sleep assessments and CSF collection and were cognitively normal. Sleep quality was measured with the Medical Outcomes Study Sleep Scale. CSF was assayed for biomarkers of amyloid metabolism and plaques (β-amyloid 42 [Aβ42]), tau pathology (phosphorylated tau [p-tau] 181), neuronal/axonal degeneration (total tau [t-tau], neurofilament light [NFL]), neuroinflammation/astroglial activation (monocyte chemoattractant protein-1 [MCP-1], chitinase-3-like protein 1 [YKL-40]), and synaptic dysfunction/degeneration (neurogranin). To adjust for individual differences in total amyloid production, Aβ42 was expressed relative to Aβ40. To assess cumulative pathology, CSF biomarkers were expressed in ratio to Aβ42. Relationships among sleep scores and CSF biomarkers were assessed with multiple regression, controlling for age, sex, time between sleep and CSF measurements, and CSF assay batch. RESULTS Worse subjective sleep quality, more sleep problems, and daytime somnolence were associated with greater AD pathology, indicated by lower CSF Aβ42/Aβ40 and higher t-tau/Aβ42, p-tau/Aβ42, MCP-1/Aβ42, and YKL-40/Aβ42. There were no significant associations between sleep and NFL or neurogranin. CONCLUSIONS Self-report of poor sleep was associated with greater AD-related pathology in cognitively healthy adults at risk for AD. Effective strategies exist for improving sleep; therefore sleep health may be a tractable target for early intervention to attenuate AD pathogenesis.
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Affiliation(s)
- Kate E Sprecher
- From the Department of Medicine and Neuroscience Training Program (K.E.S.) and Wisconsin Alzheimer's Disease Research Center (C.M.C., O.C.O., M.A.S., S.A., S.C.J., B.B.B.), University of Wisconsin-Madison; Wisconsin Alzheimer's Institute (R.L.K., C.M.C., O.C.O., M.A.S., S.A., S.C.J., B.B.B.); Geriatric Research Education and Clinical Center (C.M.C., O.C.O., S.A., S.C.J., B.B.B.), Wm. S. Middleton Veterans Hospital, Madison, WI; Institute of Neuroscience and Physiology (H.Z., K.B.), University of Gothenburg; Clinical Neurochemistry Laboratory (H.Z., K.B.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Molecular Neuroscience (H.Z.), UCL Institute of Neurology, Queen Square, London, UK; and Department of Psychiatry and Human Behavior (R.M.B.), University of California, Irvine.
| | - Rebecca L Koscik
- From the Department of Medicine and Neuroscience Training Program (K.E.S.) and Wisconsin Alzheimer's Disease Research Center (C.M.C., O.C.O., M.A.S., S.A., S.C.J., B.B.B.), University of Wisconsin-Madison; Wisconsin Alzheimer's Institute (R.L.K., C.M.C., O.C.O., M.A.S., S.A., S.C.J., B.B.B.); Geriatric Research Education and Clinical Center (C.M.C., O.C.O., S.A., S.C.J., B.B.B.), Wm. S. Middleton Veterans Hospital, Madison, WI; Institute of Neuroscience and Physiology (H.Z., K.B.), University of Gothenburg; Clinical Neurochemistry Laboratory (H.Z., K.B.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Molecular Neuroscience (H.Z.), UCL Institute of Neurology, Queen Square, London, UK; and Department of Psychiatry and Human Behavior (R.M.B.), University of California, Irvine
| | - Cynthia M Carlsson
- From the Department of Medicine and Neuroscience Training Program (K.E.S.) and Wisconsin Alzheimer's Disease Research Center (C.M.C., O.C.O., M.A.S., S.A., S.C.J., B.B.B.), University of Wisconsin-Madison; Wisconsin Alzheimer's Institute (R.L.K., C.M.C., O.C.O., M.A.S., S.A., S.C.J., B.B.B.); Geriatric Research Education and Clinical Center (C.M.C., O.C.O., S.A., S.C.J., B.B.B.), Wm. S. Middleton Veterans Hospital, Madison, WI; Institute of Neuroscience and Physiology (H.Z., K.B.), University of Gothenburg; Clinical Neurochemistry Laboratory (H.Z., K.B.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Molecular Neuroscience (H.Z.), UCL Institute of Neurology, Queen Square, London, UK; and Department of Psychiatry and Human Behavior (R.M.B.), University of California, Irvine
| | - Henrik Zetterberg
- From the Department of Medicine and Neuroscience Training Program (K.E.S.) and Wisconsin Alzheimer's Disease Research Center (C.M.C., O.C.O., M.A.S., S.A., S.C.J., B.B.B.), University of Wisconsin-Madison; Wisconsin Alzheimer's Institute (R.L.K., C.M.C., O.C.O., M.A.S., S.A., S.C.J., B.B.B.); Geriatric Research Education and Clinical Center (C.M.C., O.C.O., S.A., S.C.J., B.B.B.), Wm. S. Middleton Veterans Hospital, Madison, WI; Institute of Neuroscience and Physiology (H.Z., K.B.), University of Gothenburg; Clinical Neurochemistry Laboratory (H.Z., K.B.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Molecular Neuroscience (H.Z.), UCL Institute of Neurology, Queen Square, London, UK; and Department of Psychiatry and Human Behavior (R.M.B.), University of California, Irvine
| | - Kaj Blennow
- From the Department of Medicine and Neuroscience Training Program (K.E.S.) and Wisconsin Alzheimer's Disease Research Center (C.M.C., O.C.O., M.A.S., S.A., S.C.J., B.B.B.), University of Wisconsin-Madison; Wisconsin Alzheimer's Institute (R.L.K., C.M.C., O.C.O., M.A.S., S.A., S.C.J., B.B.B.); Geriatric Research Education and Clinical Center (C.M.C., O.C.O., S.A., S.C.J., B.B.B.), Wm. S. Middleton Veterans Hospital, Madison, WI; Institute of Neuroscience and Physiology (H.Z., K.B.), University of Gothenburg; Clinical Neurochemistry Laboratory (H.Z., K.B.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Molecular Neuroscience (H.Z.), UCL Institute of Neurology, Queen Square, London, UK; and Department of Psychiatry and Human Behavior (R.M.B.), University of California, Irvine
| | - Ozioma C Okonkwo
- From the Department of Medicine and Neuroscience Training Program (K.E.S.) and Wisconsin Alzheimer's Disease Research Center (C.M.C., O.C.O., M.A.S., S.A., S.C.J., B.B.B.), University of Wisconsin-Madison; Wisconsin Alzheimer's Institute (R.L.K., C.M.C., O.C.O., M.A.S., S.A., S.C.J., B.B.B.); Geriatric Research Education and Clinical Center (C.M.C., O.C.O., S.A., S.C.J., B.B.B.), Wm. S. Middleton Veterans Hospital, Madison, WI; Institute of Neuroscience and Physiology (H.Z., K.B.), University of Gothenburg; Clinical Neurochemistry Laboratory (H.Z., K.B.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Molecular Neuroscience (H.Z.), UCL Institute of Neurology, Queen Square, London, UK; and Department of Psychiatry and Human Behavior (R.M.B.), University of California, Irvine
| | - Mark A Sager
- From the Department of Medicine and Neuroscience Training Program (K.E.S.) and Wisconsin Alzheimer's Disease Research Center (C.M.C., O.C.O., M.A.S., S.A., S.C.J., B.B.B.), University of Wisconsin-Madison; Wisconsin Alzheimer's Institute (R.L.K., C.M.C., O.C.O., M.A.S., S.A., S.C.J., B.B.B.); Geriatric Research Education and Clinical Center (C.M.C., O.C.O., S.A., S.C.J., B.B.B.), Wm. S. Middleton Veterans Hospital, Madison, WI; Institute of Neuroscience and Physiology (H.Z., K.B.), University of Gothenburg; Clinical Neurochemistry Laboratory (H.Z., K.B.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Molecular Neuroscience (H.Z.), UCL Institute of Neurology, Queen Square, London, UK; and Department of Psychiatry and Human Behavior (R.M.B.), University of California, Irvine
| | - Sanjay Asthana
- From the Department of Medicine and Neuroscience Training Program (K.E.S.) and Wisconsin Alzheimer's Disease Research Center (C.M.C., O.C.O., M.A.S., S.A., S.C.J., B.B.B.), University of Wisconsin-Madison; Wisconsin Alzheimer's Institute (R.L.K., C.M.C., O.C.O., M.A.S., S.A., S.C.J., B.B.B.); Geriatric Research Education and Clinical Center (C.M.C., O.C.O., S.A., S.C.J., B.B.B.), Wm. S. Middleton Veterans Hospital, Madison, WI; Institute of Neuroscience and Physiology (H.Z., K.B.), University of Gothenburg; Clinical Neurochemistry Laboratory (H.Z., K.B.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Molecular Neuroscience (H.Z.), UCL Institute of Neurology, Queen Square, London, UK; and Department of Psychiatry and Human Behavior (R.M.B.), University of California, Irvine
| | - Sterling C Johnson
- From the Department of Medicine and Neuroscience Training Program (K.E.S.) and Wisconsin Alzheimer's Disease Research Center (C.M.C., O.C.O., M.A.S., S.A., S.C.J., B.B.B.), University of Wisconsin-Madison; Wisconsin Alzheimer's Institute (R.L.K., C.M.C., O.C.O., M.A.S., S.A., S.C.J., B.B.B.); Geriatric Research Education and Clinical Center (C.M.C., O.C.O., S.A., S.C.J., B.B.B.), Wm. S. Middleton Veterans Hospital, Madison, WI; Institute of Neuroscience and Physiology (H.Z., K.B.), University of Gothenburg; Clinical Neurochemistry Laboratory (H.Z., K.B.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Molecular Neuroscience (H.Z.), UCL Institute of Neurology, Queen Square, London, UK; and Department of Psychiatry and Human Behavior (R.M.B.), University of California, Irvine
| | - Ruth M Benca
- From the Department of Medicine and Neuroscience Training Program (K.E.S.) and Wisconsin Alzheimer's Disease Research Center (C.M.C., O.C.O., M.A.S., S.A., S.C.J., B.B.B.), University of Wisconsin-Madison; Wisconsin Alzheimer's Institute (R.L.K., C.M.C., O.C.O., M.A.S., S.A., S.C.J., B.B.B.); Geriatric Research Education and Clinical Center (C.M.C., O.C.O., S.A., S.C.J., B.B.B.), Wm. S. Middleton Veterans Hospital, Madison, WI; Institute of Neuroscience and Physiology (H.Z., K.B.), University of Gothenburg; Clinical Neurochemistry Laboratory (H.Z., K.B.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Molecular Neuroscience (H.Z.), UCL Institute of Neurology, Queen Square, London, UK; and Department of Psychiatry and Human Behavior (R.M.B.), University of California, Irvine
| | - Barbara B Bendlin
- From the Department of Medicine and Neuroscience Training Program (K.E.S.) and Wisconsin Alzheimer's Disease Research Center (C.M.C., O.C.O., M.A.S., S.A., S.C.J., B.B.B.), University of Wisconsin-Madison; Wisconsin Alzheimer's Institute (R.L.K., C.M.C., O.C.O., M.A.S., S.A., S.C.J., B.B.B.); Geriatric Research Education and Clinical Center (C.M.C., O.C.O., S.A., S.C.J., B.B.B.), Wm. S. Middleton Veterans Hospital, Madison, WI; Institute of Neuroscience and Physiology (H.Z., K.B.), University of Gothenburg; Clinical Neurochemistry Laboratory (H.Z., K.B.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Molecular Neuroscience (H.Z.), UCL Institute of Neurology, Queen Square, London, UK; and Department of Psychiatry and Human Behavior (R.M.B.), University of California, Irvine
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329
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van Waalwijk van Doorn LJC, Kulic L, Koel-Simmelink MJA, Kuiperij HB, Versleijen AAM, Struyfs H, Twaalfhoven HAM, Fourier A, Engelborghs S, Perret-Liaudet A, Lehmann S, Verbeek MM, Vanmechelen EJM, Teunissen CE. Multicenter Analytical Validation of Aβ40 Immunoassays. Front Neurol 2017; 8:310. [PMID: 28725210 PMCID: PMC5497061 DOI: 10.3389/fneur.2017.00310] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2017] [Accepted: 06/14/2017] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Before implementation in clinical practice, biomarker assays need to be thoroughly analytically validated. There is currently a strong interest in implementation of the ratio of amyloid-β peptide 1-42 and 1-40 (Aβ42/Aβ40) in clinical routine. Therefore, in this study, we compared the analytical performance of six assays detecting Aβ40 in cerebrospinal fluid (CSF) in six laboratories according to a recently standard operating procedure (SOP) developed for implementation of ELISA assays for clinical routine. METHODS Aβ40 assays of six vendors were validated in up to three centers per assay according to recently proposed international consensus validation protocols. The performance parameters included sensitivity, precision, dilutional linearity, recovery, and parallelism. Inter-laboratory variation was determined using a set of 20 CSF samples. In addition, test results were used to critically evaluate the SOPs that were used to validate the assays. RESULTS Most performance parameters of the different Aβ40 assays were similar between labs and within the predefined acceptance criteria. The only exceptions were the out-of-range results of recovery for the majority of experiments and of parallelism by three laboratories. Additionally, experiments to define the dilutional linearity and hook-effect were not executed correctly in part of the centers. The inter-laboratory variation showed acceptable low levels for all assays. Absolute concentrations measured by the assays varied by a factor up to 4.7 for the extremes. CONCLUSION All validated Aβ40 assays appeared to be of good technical quality and performed generally well according to predefined criteria. A novel version of the validation SOP is developed based on these findings, to further facilitate implementation of novel immunoassays in clinical practice.
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Affiliation(s)
- Linda J C van Waalwijk van Doorn
- Department of Neurology, Radboud University Medical Center, Radboud Alzheimer Centre, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, Netherlands.,Department of Laboratory Medicine, Radboud University Medical Center, Radboud Alzheimer Centre, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, Netherlands
| | - Luka Kulic
- Institute for Regenerative Medicine (IREM), University of Zurich, Schlieren, Switzerland
| | - Marleen J A Koel-Simmelink
- Neurochemistry Laboratory and Biobank, Department of Clinical Chemistry, VU University Medical Center, Neurocampus, Amsterdam, Netherlands
| | - H Bea Kuiperij
- Department of Neurology, Radboud University Medical Center, Radboud Alzheimer Centre, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, Netherlands.,Department of Laboratory Medicine, Radboud University Medical Center, Radboud Alzheimer Centre, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, Netherlands
| | - Alexandra A M Versleijen
- Department of Laboratory Medicine, Radboud University Medical Center, Radboud Alzheimer Centre, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, Netherlands
| | - Hanne Struyfs
- Reference Center for Biological Markers of Dementia (BIODEM), Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Harry A M Twaalfhoven
- Neurochemistry Laboratory and Biobank, Department of Clinical Chemistry, VU University Medical Center, Neurocampus, Amsterdam, Netherlands
| | - Anthony Fourier
- Neurobiology Laboratory, Centre for Memory Resources and Research (CMRR), Groupement Hospitalier Est (GHE), Hôpitaux de Lyon, Université Lyon 1, CNRS UMR5292, INSERM U1028, Lyon, France
| | - Sebastiaan Engelborghs
- Reference Center for Biological Markers of Dementia (BIODEM), Institute Born-Bunge, University of Antwerp, Antwerp, Belgium.,Memory Clinic and Department of Neurology, Hospital Network Antwerp (ZNA) Middelheim and Hoge Beuken, Antwerp, Belgium
| | - Armand Perret-Liaudet
- Neurobiology Laboratory, Centre for Memory Resources and Research (CMRR), Groupement Hospitalier Est (GHE), Hôpitaux de Lyon, Université Lyon 1, CNRS UMR5292, INSERM U1028, Lyon, France
| | - Sylvain Lehmann
- CHU de Montpellier and Université de Montpellier, IRMB, Laboratoire de Biochimie Protéomique Clinique, Montpellier, France
| | - Marcel M Verbeek
- Department of Neurology, Radboud University Medical Center, Radboud Alzheimer Centre, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, Netherlands.,Department of Laboratory Medicine, Radboud University Medical Center, Radboud Alzheimer Centre, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, Netherlands
| | | | - Charlotte E Teunissen
- Neurochemistry Laboratory and Biobank, Department of Clinical Chemistry, VU University Medical Center, Neurocampus, Amsterdam, Netherlands
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330
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Mak E, Su L, Williams GB, Firbank MJ, Lawson RA, Yarnall AJ, Duncan GW, Mollenhauer B, Owen AM, Khoo TK, Brooks DJ, Rowe JB, Barker RA, Burn DJ, O'Brien JT. Longitudinal whole-brain atrophy and ventricular enlargement in nondemented Parkinson's disease. Neurobiol Aging 2017; 55:78-90. [PMID: 28431288 PMCID: PMC5454799 DOI: 10.1016/j.neurobiolaging.2017.03.012] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2016] [Revised: 03/05/2017] [Accepted: 03/08/2017] [Indexed: 11/28/2022]
Abstract
We investigated whole-brain atrophy and ventricular enlargement over 18 months in nondemented Parkinson's disease (PD) and examined their associations with clinical measures and baseline CSF markers. PD subjects (n = 100) were classified at baseline into those with mild cognitive impairment (MCI; PD-MCI, n = 36) and no cognitive impairment (PD-NC, n = 64). Percentage of whole-brain volume change (PBVC) and ventricular expansion over 18 months were assessed with FSL-SIENA and ventricular enlargement (VIENA) respectively. PD-MCI showed increased global atrophy (-1.1% ± 0.8%) and ventricular enlargement (6.9 % ± 5.2%) compared with both PD-NC (PBVC: -0.4 ± 0.5, p < 0.01; VIENA: 2.1% ± 4.3%, p < 0.01) and healthy controls. In a subset of 35 PD subjects, CSF levels of tau, and Aβ42/Aβ40 ratio were correlated with PBVC and ventricular enlargement respectively. The sample size required to demonstrate a 20% reduction in PBVC and VIENA was approximately 1/15th of that required to detect equivalent changes in cognitive decline. These findings suggest that longitudinal MRI measurements have potential to serve as surrogate markers to complement clinical assessments for future disease-modifying trials in PD.
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Affiliation(s)
- Elijah Mak
- Department of Psychiatry, University of Cambridge, Cambridgeshire, UK
| | - Li Su
- Department of Psychiatry, University of Cambridge, Cambridgeshire, UK
| | - Guy B Williams
- Wolfson Brain Imaging Centre, University of Cambridge, Cambridgeshire, UK
| | - Michael J Firbank
- Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK
| | - Rachael A Lawson
- Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK
| | - Alison J Yarnall
- Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK
| | - Gordon W Duncan
- Medicine of the Elderly, Western General Hospital, Edinburgh, UK
| | - Brit Mollenhauer
- Paracelsus-Elena-Klinik, Kassel, Germany; University Medical Center Goettingen, Institute of Neuropathology, Goettingen, Germany
| | - Adrian M Owen
- Brain and Mind Institute, University of Western Ontario, London, Canada; Department of Psychology, University of Western Ontario, London, Canada
| | - Tien K Khoo
- Menzies Health Institute, Queensland and School of Medicine, Griffith University, Gold Coast, Australia
| | - David J Brooks
- Division of Neuroscience, Imperial College London, London, UK; Institute of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - James B Rowe
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK; Medical Research Council, Cognition and Brain Sciences Unit, Cambridge, UK; Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK
| | - Roger A Barker
- John van Geest Centre for Brain Repair, University of Cambridge, Cambridge, UK
| | - David J Burn
- Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK
| | - John T O'Brien
- Department of Psychiatry, University of Cambridge, Cambridgeshire, UK.
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331
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Meeter LH, Kaat LD, Rohrer JD, van Swieten JC. Imaging and fluid biomarkers in frontotemporal dementia. Nat Rev Neurol 2017. [PMID: 28621768 DOI: 10.1038/nrneurol.2017.75] [Citation(s) in RCA: 147] [Impact Index Per Article: 18.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Frontotemporal dementia (FTD), the second most common type of presenile dementia, is a heterogeneous neurodegenerative disease characterized by progressive behavioural and/or language problems, and includes a range of clinical, genetic and pathological subtypes. The diagnostic process is hampered by this heterogeneity, and correct diagnosis is becoming increasingly important to enable future clinical trials of disease-modifying treatments. Reliable biomarkers will enable us to better discriminate between FTD and other forms of dementia and to predict disease progression in the clinical setting. Given that different underlying pathologies probably require specific pharmacological interventions, robust biomarkers are essential for the selection of patients with specific FTD subtypes. This Review emphasizes the increasing availability and potential applications of structural and functional imaging biomarkers, and cerebrospinal fluid and blood fluid biomarkers in sporadic and genetic FTD. The relevance of new MRI modalities - such as voxel-based morphometry, diffusion tensor imaging and arterial spin labelling - in the early stages of FTD is discussed, together with the ability of these modalities to classify FTD subtypes. We highlight promising new fluid biomarkers for staging and monitoring of FTD, and underline the importance of large, multicentre studies of individuals with presymptomatic FTD. Harmonization in the collection and analysis of data across different centres is crucial for the implementation of new biomarkers in clinical practice, and will become a great challenge in the next few years.
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Affiliation(s)
- Lieke H Meeter
- Department of Neurology, Erasmus Medical Center, 's Gravendijkwal 230, 3015 CE Rotterdam, Netherlands
| | - Laura Donker Kaat
- Department of Neurology, Erasmus Medical Center, 's Gravendijkwal 230, 3015 CE Rotterdam, Netherlands.,Department of Clinical Genetics, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, Netherlands
| | - Jonathan D Rohrer
- Dementia Research Centre, Department of Neurodegenerative diseases, Institute of Neurology, Queen Square, University College London, London WC1N 3BG, UK
| | - John C van Swieten
- Department of Neurology, Erasmus Medical Center, 's Gravendijkwal 230, 3015 CE Rotterdam, Netherlands.,Department of Clinical Genetics, VU University Medical Center, De Boelelaan 1118, 1081 HZ Amsterdam, Netherlands
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332
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Vanderstichele H, Demeyer L, Janelidze S, Coart E, Stoops E, Mauroo K, Herbst V, François C, Hansson O. Recommendations for cerebrospinal fluid collection for the analysis by ELISA of neurogranin trunc P75, α-synuclein, and total tau in combination with Aβ(1-42)/Aβ(1-40). ALZHEIMERS RESEARCH & THERAPY 2017; 9:40. [PMID: 28587660 PMCID: PMC5461747 DOI: 10.1186/s13195-017-0265-7] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/02/2017] [Accepted: 05/09/2017] [Indexed: 01/18/2023]
Abstract
BACKGROUND The pathophysiology of neurodegeneration is complex. Its diagnosis requires an early identification of sequential changes in several hallmarks in the brains of affected subjects. The presence of brain pathology can be visualized in the cerebrospinal fluid (CSF) by protein profiling. It is clear that the field of Alzheimer's disease (AD) will benefit from an integration of algorithms including CSF concentrations of individual proteins, especially as an aid in clinical decision-making or to improve patient enrolment in clinical trials. The protein profiling approach requires standard operating procedures for collection and storage of CSF which must be easy to integrate into a routine clinical lab environment. Our study provides recommendations for analysis of neurogranin trunc P75, α-synuclein, and tau, in combination with the ratio of β-amyloid Aβ(1-42)/Aβ(1-40). METHODS Protocols for CSF collection were compared with CSF derived from subjects with normal pressure hydrocephalus (n = 19). Variables included recipient type (collection, storage), tube volume, and addition of detergents at the time of collection. CSF biomarker analysis was performed with enzyme-linked immunosorbent assays (ELISAs). Data were analyzed with linear repeated measures and mixed effects models. RESULTS Adsorption to recipients is lower for neurogranin trunc P75, α-synuclein, and tau (<10%), as compared to Aβ(1-42). For neurogranin trunc P75 and total tau, there is still an effect on analyte concentrations as a function of the tube volume. Protocol-related differences for Aβ(1-42) can be normalized at the (pre-)analytical level using the ratio Aβ(1-42)/Aβ(1-40), but not by using the ratio Aβ(1-42)/tau. The addition of detergent at the time of collection eliminates differences due to adsorption. CONCLUSIONS Our study recommends the use of low protein binding tubes for quantification in CSF (without additives) of all relevant CSF biomarkers. Pre-analytical factors have less effect on α-synuclein, neurogranin trunc P75, and total tau, as compared to Aβ(1-42). The ratio of Aβ(1-42)/Aβ(1-40), but not Aβ(1-42)/tau, can be used to adjust for pre-analytical differences in analyte concentrations. Our study does not recommend the inclusion of detergents at the time of collection of CSF. The present results provide an experimental basis for new recommendations for parallel analysis of several proteins using one protocol for collection and storage of CSF.
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Affiliation(s)
| | | | - Shorena Janelidze
- Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, Malmö, Sweden
| | | | - Erik Stoops
- ADx NeuroSciences, Technologiepark 4, Gent, Belgium
| | | | - Victor Herbst
- Euroimmun Medizinische Labordiagnostika, Lübeck, Germany
| | | | - Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, Malmö, Sweden.,Memory Clinic, Skåne University Hospital, Skåne, Sweden
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333
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Bridel C, Hoffmann T, Meyer A, Durieux S, Koel-Simmelink MA, Orth M, Scheltens P, Lues I, Teunissen CE. Glutaminyl cyclase activity correlates with levels of Aβ peptides and mediators of angiogenesis in cerebrospinal fluid of Alzheimer's disease patients. ALZHEIMERS RESEARCH & THERAPY 2017; 9:38. [PMID: 28587659 PMCID: PMC5461753 DOI: 10.1186/s13195-017-0266-6] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/26/2017] [Accepted: 05/09/2017] [Indexed: 01/01/2023]
Abstract
Background Pyroglutamylation of truncated Aβ peptides, which is catalysed by enzyme glutaminyl cyclase (QC), generates pE-Aβ species with enhanced aggregation propensities and resistance to most amino-peptidases and endo-peptidases. pE-Aβ species have been identified as major constituents of Aβ plaques and reduction of pE-Aβ species is associated with improvement of cognitive tasks in animal models of Alzheimer’s disease (AD). Pharmacological inhibition of QC has thus emerged as a promising therapeutic approach for AD. Here, we question whether cerebrospinal fluid (CSF) QC enzymatic activity differs between AD patients and controls and whether inflammatory or angiogenesis mediators, some of which are potential QC substrates, and/or Aβ peptides may serve as pharmacodynamic read-outs for QC inhibition. Methods QC activity, Aβ peptides and inflammatory or angiogenesis mediators were measured in CSF of a clinically well-characterized cohort of 20 mild AD patients, 20 moderate AD patients and 20 subjective memory complaints (SMC) controls. Correlation of these parameters with core diagnostic CSF AD biomarkers (Aβ42, tau and p-tau) and clinical features was evaluated. Results QC activity shows a tendency to decrease with AD progression (p = 0.129). The addition of QC activity to biomarkers tau and p-tau significantly increases diagnostic power (ROC-AUCTAU = 0.878, ROC-AUCTAU&QC = 0.939 and ROC-AUCpTAU = 0.820, ROC-AUCpTAU&QC = 0.948). In AD and controls, QC activity correlates with Aβ38 (r = 0.83, p < 0.0001) and Aβ40 (r = 0.84, p < 0.0001), angiogenesis mediators (Flt1, Tie2, VEGFD, VCAM-1 and ICAM-1, r > 0.5, p < 0.0001) and core diagnostic biomarkers (r > 0.35, p = <0.0057). QC activity does not correlate with MMSE or ApoE genotype. Conclusions Aβ38, Aβ40 and angiogenesis mediators (Flt1, Tie2, VEGFD, VCAM-1 and ICAM-1) are potential pharmacodynamic markers of QC inhibition, because their levels closely correlate with QC activity in AD patients. The addition of QC activity to core diagnostic CSF biomarkers may be of specific interest in clinical cases with discordant imaging and biochemical biomarker results. Electronic supplementary material The online version of this article (doi:10.1186/s13195-017-0266-6) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Claire Bridel
- Neurochemistry Lab and Biobank, Department of Clinical Chemistry, VU University Medical Centre Amsterdam, Amsterdam, The Netherlands.
| | | | | | - Sisi Durieux
- Neurochemistry Lab and Biobank, Department of Clinical Chemistry, VU University Medical Centre Amsterdam, Amsterdam, The Netherlands
| | - Marleen A Koel-Simmelink
- Neurochemistry Lab and Biobank, Department of Clinical Chemistry, VU University Medical Centre Amsterdam, Amsterdam, The Netherlands
| | | | - Philip Scheltens
- Department of Neurology, Alzheimer Center, VU University Medical Centre Amsterdam, Amsterdam, The Netherlands
| | - Inge Lues
- Probiodrug AG, Halle (Saale), Germany
| | - Charlotte E Teunissen
- Neurochemistry Lab and Biobank, Department of Clinical Chemistry, VU University Medical Centre Amsterdam, Amsterdam, The Netherlands.
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334
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Mattsson N, Lönneborg A, Boccardi M, Blennow K, Hansson O. Clinical validity of cerebrospinal fluid Aβ42, tau, and phospho-tau as biomarkers for Alzheimer's disease in the context of a structured 5-phase development framework. Neurobiol Aging 2017; 52:196-213. [DOI: 10.1016/j.neurobiolaging.2016.02.034] [Citation(s) in RCA: 64] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2015] [Revised: 02/09/2016] [Accepted: 02/10/2016] [Indexed: 01/01/2023]
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335
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Gervaise-Henry C, Watfa G, Albuisson E, Kolodziej A, Dousset B, Olivier JL, Jonveaux TR, Malaplate-Armand C. Cerebrospinal Fluid Aβ42/Aβ40 as a Means to Limiting Tube- and Storage-Dependent Pre-Analytical Variability in Clinical Setting. J Alzheimers Dis 2017; 57:437-445. [DOI: 10.3233/jad-160865] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Affiliation(s)
- Christelle Gervaise-Henry
- Laboratoire de Biochimie et Biologie Moléculaire, UF Oncologie-Endocrinologie-Neurobiologie, Hôpital Central, Centre Hospitalier Universitaire, Nancy, France
| | - Gasshan Watfa
- CMRR de Lorraine Hôpital de Brabois CHU Nancy, Vandoeuvre lès Nancy, Nancy, France
| | - Eliane Albuisson
- Unité ESPRI-BioBase, CHRU Nancy, Vandoeuvre lès Nancy, Nancy, France
| | - Allan Kolodziej
- Laboratoire de Biochimie et Biologie Moléculaire, UF Oncologie-Endocrinologie-Neurobiologie, Hôpital Central, Centre Hospitalier Universitaire, Nancy, France
| | - Brigitte Dousset
- Laboratoire de Biochimie et Biologie Moléculaire, UF Oncologie-Endocrinologie-Neurobiologie, Hôpital Central, Centre Hospitalier Universitaire, Nancy, France
| | - Jean-Luc Olivier
- Laboratoire de Biochimie et Biologie Moléculaire, UF Oncologie-Endocrinologie-Neurobiologie, Hôpital Central, Centre Hospitalier Universitaire, Nancy, France
- UR AFPA–USC 340, Equipe BFLA, Université de Lorraine, Nancy, France
| | | | - Catherine Malaplate-Armand
- Laboratoire de Biochimie et Biologie Moléculaire, UF Oncologie-Endocrinologie-Neurobiologie, Hôpital Central, Centre Hospitalier Universitaire, Nancy, France
- UR AFPA–USC 340, Equipe BFLA, Université de Lorraine, Nancy, France
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336
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Mo Y, Stromswold J, Wilson K, Holder D, Sur C, Laterza O, Savage MJ, Struyk A, Scheltens P, Teunissen CE, Burke J, Macaulay SL, Bråthen G, Sando SB, White LR, Weiss C, Cowes A, Bush MM, DeSilva G, Darby DG, Rainey-Smith SR, Surls J, Sagini E, Tanen M, Altman A, Luthman J, Egan MF. A multinational study distinguishing Alzheimer's and healthy patients using cerebrospinal fluid tau/Aβ42 cutoff with concordance to amyloid positron emission tomography imaging. ALZHEIMER'S & DEMENTIA: DIAGNOSIS, ASSESSMENT & DISEASE MONITORING 2017; 6:201-209. [PMID: 28349119 PMCID: PMC5357677 DOI: 10.1016/j.dadm.2017.02.004] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Introduction Changes in cerebrospinal fluid (CSF) tau and amyloid β (Aβ)42 accompany development of Alzheimer's brain pathology. Robust tau and Aβ42 immunoassays were developed to establish a tau/Aβ42 cutoff distinguishing mild-to-moderate Alzheimer's disease (AD) subjects from healthy elderly control (HC) subjects. Methods A CSF tau/Aβ42 cutoff criteria was chosen, which distinguished the groups and maximized concordance with amyloid PET. Performance was assessed using an independent validation cohort. Results A tau/Aβ42 = 0.215 cutoff provided 94.8% sensitivity and 77.7% specificity. Concordance with PET visual reads was estimated at 86.9% in a ∼50% PET positive population. In the validation cohort, the cutoff demonstrated 78.4% sensitivity and 84.9% specificity to distinguish the AD and HC populations. Discussion A tau/Aβ42 cutoff with acceptable sensitivity and specificity distinguished HC from mild-to-moderate AD subjects and maximized concordance to brain amyloidosis. The defined cutoff demonstrated that CSF analysis may be useful as a surrogate to imaging assessment of AD pathology.
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Affiliation(s)
- Yi Mo
- Merck & Co. Inc., Kenilworth, NJ, USA
| | | | | | | | | | | | | | | | - Philip Scheltens
- Department of Neurology, VU University Medical Center, Amsterdam, The Netherlands
| | - Charlotte E Teunissen
- Neurochemistry Laboratory and Biobank, Department of Clinical Chemistry, VU University Medical Center, Amsterdam, The Netherlands
| | - James Burke
- Duke Neurology, Duke University, Durham, NC, USA
| | - S Lance Macaulay
- Commonwealth Scientific and Industrial Research Organization, Parkville, Victoria, Australia
| | - Geir Bråthen
- Department of Neuroscience, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway; Department of Neurology, University Hospital of Trondheim, Trondheim, Norway
| | - Sigrid Botne Sando
- Department of Neuroscience, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway; Department of Neurology, University Hospital of Trondheim, Trondheim, Norway
| | - Linda R White
- Department of Neuroscience, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway; Department of Neurology, University Hospital of Trondheim, Trondheim, Norway
| | | | | | | | | | - David G Darby
- The Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, Victoria, Australia
| | - Stephanie R Rainey-Smith
- Centre of Excellence for Alzheimer's Disease Research and Care, Edith Cowan University, Joondalup, Western Australia, Australia
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Willemse E, van Uffelen K, Brix B, Engelborghs S, Vanderstichele H, Teunissen C. How to handle adsorption of cerebrospinal fluid amyloid β (1-42) in laboratory practice? Identifying problematic handlings and resolving the issue by use of the Aβ42
/Aβ40
ratio. Alzheimers Dement 2017; 13:885-892. [DOI: 10.1016/j.jalz.2017.01.010] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2016] [Revised: 12/21/2016] [Accepted: 01/07/2017] [Indexed: 01/03/2023]
Affiliation(s)
- Eline Willemse
- Neurochemistry Laboratory, Department of Clinical Chemistry, Neuroscience Campus Amsterdam; VU University Medical Center; Amsterdam The Netherlands
- Department of Neurology, Alzheimer Center, Neuroscience Campus Amsterdam; VU University Medical Center; Amsterdam The Netherlands
| | - Kees van Uffelen
- Neurochemistry Laboratory, Department of Clinical Chemistry, Neuroscience Campus Amsterdam; VU University Medical Center; Amsterdam The Netherlands
| | - Britta Brix
- Neurodegenerative Diseases Department, EUROIMMUN Medizinische Labordiagnostika AG; Lübeck Germany
| | - Sebastiaan Engelborghs
- Department of Biomedical Sciences, Reference Centre for Biological Markers of Dementia (BIODEM); University of Antwerp; Antwerpen Belgium
- Department of Neurology and Memory Clinic; Hospital Network Antwerp; Antwerpen Belgium
| | | | - Charlotte Teunissen
- Neurochemistry Laboratory, Department of Clinical Chemistry, Neuroscience Campus Amsterdam; VU University Medical Center; Amsterdam The Netherlands
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338
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Pottiez G, Yang L, Stewart T, Song N, Aro P, Galasko DR, Quinn JF, Peskind ER, Shi M, Zhang J. Mass-Spectrometry-Based Method To Quantify in Parallel Tau and Amyloid β 1-42 in CSF for the Diagnosis of Alzheimer's Disease. J Proteome Res 2017; 16:1228-1238. [PMID: 28112948 DOI: 10.1021/acs.jproteome.6b00829] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Alzheimer's disease (AD), the most common form of dementia, afflicts about 50 million people worldwide. Currently, AD diagnosis is primarily based on psychological evaluation and can only be confirmed post-mortem. Reliable and objective biomarkers for prognosis and diagnosis have been sought for years. Together, tau and amyloid β 1-42 (Aβ42) in cerebrospinal fluid (CSF) have been shown to provide good diagnostic sensitivity and specificity. Additionally, phosphorylated forms of tau, such as tau pS181, have also shown promising results. However, the measurement of such markers currently relies on antibody-based immunoassays that have shown variability, leading to discrepant results across laboratories. To date, mass spectrometry methods developed to evaluate CSF tau and Aβ42 are not compatible. We present in this article the development of a mass-spectrometry-based method of quantification for CSF tau and Aβ42 in parallel. The absolute concentrations of tau and Aβ42 we measured are on average 50 ng/mL (7-130 ng/mL) and 7.1 ng/mL (3-13 ng/mL), respectively. Analyses of CSF tau and Aβ42, in a cohort of patients with AD, mild cognitive impairment, and healthy controls (30 subjects), provide significant group differences evaluated with ROC curves (AUC(control-AD) and AUC(control-MCI) = 1, AUC(MCI-AD) = 0.76), with at least equivalent diagnostic utility to immunoassay measurements in the same sample set. Finally, a significant and negative correlation was found between the tau and Aβ peptides ratio and the disease severity.
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Affiliation(s)
- Gwënaël Pottiez
- Department of Pathology, School of Medicine, University of Washington , Seattle, Washington 98104, United States
| | - Li Yang
- Department of Pathology, School of Medicine, University of Washington , Seattle, Washington 98104, United States
| | - Tessandra Stewart
- Department of Pathology, School of Medicine, University of Washington , Seattle, Washington 98104, United States
| | - Ning Song
- Department of Pathology, School of Medicine, University of Washington , Seattle, Washington 98104, United States
| | - Patrick Aro
- Department of Pathology, School of Medicine, University of Washington , Seattle, Washington 98104, United States
| | - Douglas R Galasko
- Department of Neurosciences, University of California at San Diego , San Diego, California 92093, United States
| | - Joseph F Quinn
- Department of Neurology, Oregon Health and Science University , Portland, Oregon 97239, United States.,Portland VA Medical Center , Portland, Oregon 97239, United States
| | - Elaine R Peskind
- Northwest Network VISN-20 Mental Illness Research, Education, and Clinical Center, VA Puget Sound Health Care System , Seattle, Washington 98108, United States.,Department of Psychiatry and Behavioral Sciences, University of Washington , Seattle, Washington 98195, United States
| | - Min Shi
- Department of Pathology, School of Medicine, University of Washington , Seattle, Washington 98104, United States
| | - Jing Zhang
- Department of Pathology, School of Medicine, University of Washington , Seattle, Washington 98104, United States.,Department of Pathology, Peking University Health Science Centre and Third Hospital , Beijing 100083, China
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339
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Somers C, Goossens J, Engelborghs S, Bjerke M. Selecting Aβ isoforms for an Alzheimer's disease cerebrospinal fluid biomarker panel. Biomark Med 2017; 11:169-178. [PMID: 28111962 DOI: 10.2217/bmm-2016-0276] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Although the core cerebrospinal fluid Alzheimer's disease (AD) biomarkers amyloid-β (Aβ1-42) and tau show a high diagnostic accuracy, there are still limitations due to overlap in the biomarker levels with other neurodegenerative and dementia disorders. During Aβ1-42 production and clearance in the brain, several other Aβ peptides and amyloid precursor protein fragments are formed that could potentially serve as biomarkers for this ongoing disease process. Therefore, this review will present the current status of the findings for amyloid precursor protein and Aβ peptide isoforms in AD and clinically related disorders. In conclusion, adding new Aβ isoforms to the AD biomarker panel may improve early differential diagnostic accuracy and increase the cerebrospinal fluid biomarker concordance with AD neuropathological findings in the brain.
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Affiliation(s)
- Charisse Somers
- Department of Biomedical Sciences, Reference Center for Biological Markers of Dementia (BIODEM), Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Joery Goossens
- Department of Biomedical Sciences, Reference Center for Biological Markers of Dementia (BIODEM), Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Sebastiaan Engelborghs
- Department of Biomedical Sciences, Reference Center for Biological Markers of Dementia (BIODEM), Institute Born-Bunge, University of Antwerp, Antwerp, Belgium.,Department of Neurology & Memory Clinic, Hospital Network Antwerp (ZNA) Middelheim & Hoge Beuken, Antwerp, Belgium
| | - Maria Bjerke
- Department of Biomedical Sciences, Reference Center for Biological Markers of Dementia (BIODEM), Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
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340
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Toombs J, Foiani MS, Paterson RW, Heslegrave A, Wray S, Schott JM, Fox NC, Lunn MP, Blennow K, Zetterberg H. Effect of Spinal Manometers on Cerebrospinal Fluid Amyloid-β Concentration. J Alzheimers Dis 2017; 56:885-891. [PMID: 28059797 DOI: 10.3233/jad-161126] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
The effect of spinal manometers on cerebrospinal fluid (CSF) amyloid-β (Aβ) concentration was investigated. Pooled human CSF samples were divided in two, one half passed through a manometer into a collection tube, the other transferred directly to a collection tube. CSF was analyzed for Aβ38/40/42 using an electrochemiluminescence immunoassay. Relative to control, use of a manometer decreased Aβ38/40/42 concentration by 5.6% (±1.5SE), 4.4% (±1.7SE), and 4.3% (±2.4SE), respectively. The ratios of Aβ42 :40, Aβ42 :38, and Aβ40 :38 were not affected by manometer treatment. Factors which artificially lower CSF Aβ concentrations are relevant to clinical diagnosis for AD and study design.
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Affiliation(s)
- Jamie Toombs
- Department of Molecular Neuroscience, Institute of Neurology, University College London, London, UK
| | - Martha S Foiani
- Department of Molecular Neuroscience, Institute of Neurology, University College London, London, UK
| | - Ross W Paterson
- Department of Neurodegeneration, Dementia Research Centre, Institute of Neurology, London, UK
| | - Amanda Heslegrave
- Department of Molecular Neuroscience, Institute of Neurology, University College London, London, UK
| | - Selina Wray
- Department of Molecular Neuroscience, Institute of Neurology, University College London, London, UK
| | - Jonathan M Schott
- Department of Neurodegeneration, Dementia Research Centre, Institute of Neurology, London, UK
| | - Nick C Fox
- Department of Neurodegeneration, Dementia Research Centre, Institute of Neurology, London, UK
| | - Michael P Lunn
- Department of Neuroimmunology, Institute of Neurology, University College London, London, UK
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - Henrik Zetterberg
- Department of Molecular Neuroscience, Institute of Neurology, University College London, London, UK
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
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341
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Pannee J, Portelius E, Minthon L, Gobom J, Andreasson U, Zetterberg H, Hansson O, Blennow K. Reference measurement procedure for CSF amyloid beta (Aβ) 1-42 and the CSF Aβ 1-42 /Aβ 1-40 ratio - a cross-validation study against amyloid PET. J Neurochem 2016; 139:651-658. [PMID: 27579672 DOI: 10.1111/jnc.13838] [Citation(s) in RCA: 73] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2016] [Revised: 08/12/2016] [Accepted: 08/22/2016] [Indexed: 01/14/2023]
Abstract
A clinical diagnosis of Alzheimer's disease is currently made on the basis of results from cognitive tests in combination with medical history and general clinical evaluation, but the peptide amyloid-beta (Aβ) in cerebrospinal fluid (CSF) is increasingly used as a biomarker for amyloid pathology in clinical trials and in recently proposed revised clinical criteria for Alzheimer's disease. Recent analytical developments have resulted in mass spectrometry (MS) reference measurement procedures for absolute quantification of Aβ1-42 in CSF. The CSF Aβ1-42 /Aβ1-40 ratio has been suggested to improve the detection of cerebral amyloid deposition, by compensating for inter-individual variations in total Aβ production. Our aim was to cross-validate the reference measurement procedure as well as the Aβ1-42 /Aβ1-40 and Aβ1-42 /Aβ1-38 ratios in CSF, measured by high-resolution MS, with the cortical level of Aβ fibrils as measured by amyloid (18 F-flutemetamol) positron emission tomography (PET). We included 100 non-demented patients with cognitive symptoms from the Swedish BioFINDER study, all of whom had undergone both lumbar puncture and 18 F-flutemetamol PET. Comparing CSF Aβ1-42 concentrations with 18 F-flutemetamol PET showed high concordance with an area under the receiver operating characteristic curve of 0.85 and a sensitivity and specificity of 82% and 81%, respectively. The ratio of Aβ1-42 /Aβ1-40 or Aβ1-42 /Aβ1-38 significantly improved concordance with an area under the receiver operating characteristic curve of 0.95 and a sensitivity and specificity of 96% and 91%, respectively. These results show that the CSF Aβ1-42 /Aβ1-40 and Aβ1-42 /Aβ1-38 ratios using the described MS method are strongly associated with cortical Aβ fibrils measured by 18 F-flutemetamol PET.
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Affiliation(s)
- Josef Pannee
- Department of Psychiatry & Neurochemistry, Institute of Neuroscience & Physiology, The Sahlgrenska Academy at University of Gothenburg, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Erik Portelius
- Department of Psychiatry & Neurochemistry, Institute of Neuroscience & Physiology, The Sahlgrenska Academy at University of Gothenburg, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Lennart Minthon
- Department of Clinical Sciences, Lund University, Lund, Sweden.,Memory Clinic, Department of Neurology, Skåne University Hospital, Malmö, Sweden
| | - Johan Gobom
- Department of Psychiatry & Neurochemistry, Institute of Neuroscience & Physiology, The Sahlgrenska Academy at University of Gothenburg, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Ulf Andreasson
- Department of Psychiatry & Neurochemistry, Institute of Neuroscience & Physiology, The Sahlgrenska Academy at University of Gothenburg, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry & Neurochemistry, Institute of Neuroscience & Physiology, The Sahlgrenska Academy at University of Gothenburg, Sahlgrenska University Hospital, Mölndal, Sweden.,UCL Institute of Neurology, London, UK
| | - Oskar Hansson
- Department of Clinical Sciences, Lund University, Lund, Sweden.,Memory Clinic, Department of Neurology, Skåne University Hospital, Malmö, Sweden
| | - Kaj Blennow
- Department of Psychiatry & Neurochemistry, Institute of Neuroscience & Physiology, The Sahlgrenska Academy at University of Gothenburg, Sahlgrenska University Hospital, Mölndal, Sweden
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342
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Leuzy A, Chiotis K, Hasselbalch SG, Rinne JO, de Mendonça A, Otto M, Lleó A, Castelo-Branco M, Santana I, Johansson J, Anderl-Straub S, von Arnim CAF, Beer A, Blesa R, Fortea J, Herukka SK, Portelius E, Pannee J, Zetterberg H, Blennow K, Nordberg A. Pittsburgh compound B imaging and cerebrospinal fluid amyloid-β in a multicentre European memory clinic study. Brain 2016; 139:2540-53. [PMID: 27401520 PMCID: PMC4995359 DOI: 10.1093/brain/aww160] [Citation(s) in RCA: 105] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2016] [Revised: 05/02/2016] [Accepted: 05/20/2016] [Indexed: 12/11/2022] Open
Abstract
The aim of this study was to assess the agreement between data on cerebral amyloidosis, derived using Pittsburgh compound B positron emission tomography and (i) multi-laboratory INNOTEST enzyme linked immunosorbent assay derived cerebrospinal fluid concentrations of amyloid-β42; (ii) centrally measured cerebrospinal fluid amyloid-β42 using a Meso Scale Discovery enzyme linked immunosorbent assay; and (iii) cerebrospinal fluid amyloid-β42 centrally measured using an antibody-independent mass spectrometry-based reference method. Moreover, we examined the hypothesis that discordance between amyloid biomarker measurements may be due to interindividual differences in total amyloid-β production, by using the ratio of amyloid-β42 to amyloid-β40 Our study population consisted of 243 subjects from seven centres belonging to the Biomarkers for Alzheimer's and Parkinson's Disease Initiative, and included subjects with normal cognition and patients with mild cognitive impairment, Alzheimer's disease dementia, frontotemporal dementia, and vascular dementia. All had Pittsburgh compound B positron emission tomography data, cerebrospinal fluid INNOTEST amyloid-β42 values, and cerebrospinal fluid samples available for reanalysis. Cerebrospinal fluid samples were reanalysed (amyloid-β42 and amyloid-β40) using Meso Scale Discovery electrochemiluminescence enzyme linked immunosorbent assay technology, and a novel, antibody-independent, mass spectrometry reference method. Pittsburgh compound B standardized uptake value ratio results were scaled using the Centiloid method. Concordance between Meso Scale Discovery/mass spectrometry reference measurement procedure findings and Pittsburgh compound B was high in subjects with mild cognitive impairment and Alzheimer's disease, while more variable results were observed for cognitively normal and non-Alzheimer's disease groups. Agreement between Pittsburgh compound B classification and Meso Scale Discovery/mass spectrometry reference measurement procedure findings was further improved when using amyloid-β42/40 Agreement between Pittsburgh compound B visual ratings and Centiloids was near complete. Despite improved agreement between Pittsburgh compound B and centrally analysed cerebrospinal fluid, a minority of subjects showed discordant findings. While future studies are needed, our results suggest that amyloid biomarker results may not be interchangeable in some individuals.
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Affiliation(s)
- Antoine Leuzy
- 1 Department of Neurobiology, Care Science, and Society, Centre for Alzheimer Research, Division of Translational Alzheimer Neurobiology, Karolinska Institutet, Stockholm, Sweden
| | - Konstantinos Chiotis
- 1 Department of Neurobiology, Care Science, and Society, Centre for Alzheimer Research, Division of Translational Alzheimer Neurobiology, Karolinska Institutet, Stockholm, Sweden
| | - Steen G Hasselbalch
- 2 Danish Dementia Research Centre, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Juha O Rinne
- 3 Division of Clinical Neurosciences, Turku University Hospital, University of Turku, Turku, Finland 4 Turku PET Centre, University of Turku, Turku, Finland
| | - Alexandre de Mendonça
- 5 Department of Neurology and Laboratory of Neurosciences, Faculty of Medicine, University of Lisbon, Lisbon, Portugal
| | - Markus Otto
- 6 Department of Neurology, Ulm University Hospital, Ulm, Germany
| | - Alberto Lleó
- 7 Department of Neurology, Institut d'Investigacions Biomèdiques, Hospital de Sant Pau, Barcelona, Spain 8 Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas (CIBERNED), Barcelona, Spain
| | - Miguel Castelo-Branco
- 9 Institute for Nuclear Sciences Applied to Health (ICNAS), Brain Imaging Network of Portugal, Coimbra, Portugal 10 Institute for Biomedical Imaging and Life Sciences (IBILI) and Faculty of Medicine, University of Coimbra, Coimbra, Portugal
| | - Isabel Santana
- 11 Department of Neurology, Coimbra University Hospital, Coimbra, Portugal 12 Centre for Neuroscience and Cell Biology (CNC), Faculty of Medicine, University of Coimbra, Coimbra, Portugal
| | | | | | | | - Ambros Beer
- 13 Department of Nuclear Medicine, Ulm University Hospital, Ulm, Germany
| | - Rafael Blesa
- 7 Department of Neurology, Institut d'Investigacions Biomèdiques, Hospital de Sant Pau, Barcelona, Spain 8 Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas (CIBERNED), Barcelona, Spain
| | - Juan Fortea
- 7 Department of Neurology, Institut d'Investigacions Biomèdiques, Hospital de Sant Pau, Barcelona, Spain 8 Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas (CIBERNED), Barcelona, Spain
| | - Sanna-Kaisa Herukka
- 14 Department of Neurology, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Erik Portelius
- 15 Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
| | - Josef Pannee
- 15 Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
| | - Henrik Zetterberg
- 15 Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden 16 Department of Molecular Neuroscience, UCL Institute of Neurology, Queen Square, London, UK
| | - Kaj Blennow
- 15 Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
| | - Agneta Nordberg
- 1 Department of Neurobiology, Care Science, and Society, Centre for Alzheimer Research, Division of Translational Alzheimer Neurobiology, Karolinska Institutet, Stockholm, Sweden 17 Department of Geriatric Medicine, Karolinska University Hospital Huddinge, Stockholm, Sweden
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343
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Plasma β-amyloid in Alzheimer's disease and vascular disease. Sci Rep 2016; 6:26801. [PMID: 27241045 PMCID: PMC4886210 DOI: 10.1038/srep26801] [Citation(s) in RCA: 455] [Impact Index Per Article: 50.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2016] [Accepted: 05/10/2016] [Indexed: 12/21/2022] Open
Abstract
Implementation of amyloid biomarkers in clinical practice would be accelerated if such biomarkers could be measured in blood. We analyzed plasma levels of Aβ42 and Aβ40 in a cohort of 719 individuals (the Swedish BioFINDER study), including patients with subjective cognitive decline (SCD), mild cognitive impairment (MCI), Alzheimer’s disease (AD) dementia and cognitively healthy elderly, using a ultrasensitive immunoassay (Simoa platform). There were weak positive correlations between plasma and cerebrospinal fluid (CSF) levels for both Aβ42 and Aβ40, and negative correlations between plasma Aβ42 and neocortical amyloid deposition (measured with PET). Plasma levels of Aβ42 and Aβ40 were reduced in AD dementia compared with all other diagnostic groups. However, during the preclinical or prodromal AD stages (i.e. in amyloid positive controls, SCD and MCI) plasma concentration of Aβ42 was just moderately decreased whereas Aβ40 levels were unchanged. Higher plasma (but not CSF) levels of Aβ were associated with white matter lesions, cerebral microbleeds, hypertension, diabetes and ischemic heart disease. In summary, plasma Aβ is overtly decreased during the dementia stage of AD indicating that prominent changes in Aβ metabolism occur later in the periphery compared to the brain. Further, increased levels of Aβ in plasma are associated with vascular disease.
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