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Hirschberg Y, Valle‐Tamayo N, Dols‐Icardo O, Engelborghs S, Buelens B, Vandenbroucke RE, Vermeiren Y, Boonen K, Mertens I. Proteomic comparison between non-purified cerebrospinal fluid and cerebrospinal fluid-derived extracellular vesicles from patients with Alzheimer's, Parkinson's and Lewy body dementia. J Extracell Vesicles 2023; 12:e12383. [PMID: 38082559 PMCID: PMC10714029 DOI: 10.1002/jev2.12383] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 10/16/2023] [Accepted: 11/09/2023] [Indexed: 12/18/2023] Open
Abstract
Dementia is a leading cause of death worldwide, with increasing prevalence as global life expectancy increases. The most common neurodegenerative disorders are Alzheimer's disease (AD), dementia with Lewy bodies (DLB) and Parkinson's disease dementia (PDD). With this study, we took an in-depth look at the proteome of the (non-purified) cerebrospinal fluid (CSF) and the CSF-derived extracellular vesicles (EVs) of AD, PD, PD-MCI (Parkinson's disease with mild cognitive impairment), PDD and DLB patients analysed by label-free mass spectrometry. This has led to the discovery of differentially expressed proteins that may be helpful for differential diagnosis. We observed a greater number of differentially expressed proteins in CSF-derived EV samples (N = 276) compared to non-purified CSF (N = 169), with minimal overlap between both datasets. This finding suggests that CSF-derived EV samples may be more suitable for the discovery phase of a biomarker study, due to the removal of more abundant proteins, resulting in a narrower dynamic range. As disease-specific markers, we selected a total of 39 biomarker candidates identified in non-purified CSF, and 37 biomarker candidates across the different diseases under investigation in the CSF-derived EV data. After further exploration and validation of these proteins, they can be used to further differentiate between the included dementias and may offer new avenues for research into more disease-specific pharmacological therapeutics.
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Affiliation(s)
- Yael Hirschberg
- Health UnitFlemish Institute for Technological Research (VITO)MolBelgium
- Centre for Proteomics (CfP)University of AntwerpAntwerpBelgium
| | - Natalia Valle‐Tamayo
- Department of Neurology, Sant Pau Memory Unit, Sant Pau Biomedical Research InstituteHospital de la Santa Creu i Sant Pau, Universitat Autònoma de BarcelonaBarcelonaSpain
- Network Center for Biomedical Research in Neurodegenerative Diseases (CIBERNED)MadridSpain
| | - Oriol Dols‐Icardo
- Department of Neurology, Sant Pau Memory Unit, Sant Pau Biomedical Research InstituteHospital de la Santa Creu i Sant Pau, Universitat Autònoma de BarcelonaBarcelonaSpain
- Network Center for Biomedical Research in Neurodegenerative Diseases (CIBERNED)MadridSpain
| | - Sebastiaan Engelborghs
- Department of Neurology and Bru‐BRAINUniversitair Ziekenhuis Brussel and NEUR Research Group, Center for Neurosciences (C4N), Vrije Universiteit Brussel (VUB)BrusselsBelgium
- Department of Biomedical SciencesUniversity of AntwerpAntwerpBelgium
| | - Bart Buelens
- Data Science Hub, Flemish Institute for Technological Research (VITO)MolBelgium
| | - Roosmarijn E. Vandenbroucke
- VIB Center for Inflammation Research, VIBGhentBelgium
- Department of Biomedical Molecular BiologyGhent UniversityGhentBelgium
| | - Yannick Vermeiren
- Faculty of Medicine & Health Sciences, Translational NeurosciencesUniversity of AntwerpAntwerpBelgium
- Division of Human Nutrition and Health, Chair Group of Nutritional BiologyWageningen University & Research (WUR)WageningenThe Netherlands
| | - Kurt Boonen
- Health UnitFlemish Institute for Technological Research (VITO)MolBelgium
- Centre for Proteomics (CfP)University of AntwerpAntwerpBelgium
| | - Inge Mertens
- Health UnitFlemish Institute for Technological Research (VITO)MolBelgium
- Centre for Proteomics (CfP)University of AntwerpAntwerpBelgium
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2
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Lagarde J, Olivieri P, Bottlaender M, Sarazin M. Diagnosi clinicolaboratoristica della malattia di Alzheimer. Neurologia 2021. [DOI: 10.1016/s1634-7072(21)45320-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
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3
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Somers C, Lewczuk P, Sieben A, Van Broeckhoven C, De Deyn PP, Kornhuber J, Martin JJ, Bjerke M, Engelborghs S. Validation of the Erlangen Score Algorithm for Differential Dementia Diagnosis in Autopsy-Confirmed Subjects. J Alzheimers Dis 2020; 68:1151-1159. [PMID: 30883344 PMCID: PMC6484252 DOI: 10.3233/jad-180563] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
Background: Despite decades of research on the optimization of the diagnosis of Alzheimer’s disease (AD), its biomarker-based diagnosis is being hampered by the lack of comparability of raw biomarker data. In order to overcome this limitation, the Erlangen Score (ES), among other approaches, was set up as a diagnostic-relevant interpretation algorithm. Objective: To validate the ES algorithm in a cohort of neuropathologically confirmed cases with AD (n = 106) and non-AD dementia (n = 57). Methods: Cerebrospinal fluid (CSF) biomarker concentrations of Aβ1-42, T-tau, and P-tau181 were measured with commercially available single analyte ELISA kits. Based on these biomarkers, ES was calculated as previously reported. Results: This algorithm proved to categorize AD in different degrees of likelihood, ranging from neurochemically “normal”, “improbably having AD”, “possibly having AD”, to “probably having AD”, with a diagnostic accuracy of 74% using the neuropathology as a reference. Conclusion: The ability of the ES to overcome the high variability of raw CSF biomarker data may provide a useful diagnostic tool for comparing neurochemical diagnoses between different labs or methods used.
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Affiliation(s)
- Charisse Somers
- Reference Center for Biological Markers of Dementia (BIODEM), Laboratory of Neurochemistry and Behavior, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - 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, Białystok, Poland
| | - Anne Sieben
- Biobank, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Christine Van Broeckhoven
- Neurodegenerative Brain Diseases Group, Center for Molecular Neurology, VIB, Antwerp, Belgium.,Laboratory of Neurogenetics, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Peter Paul De Deyn
- Reference Center for Biological Markers of Dementia (BIODEM), Laboratory of Neurochemistry and Behavior, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium.,Biobank, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium.,Department of Neurology and Memory Clinic, Hospital Network Antwerp (ZNA) Middelheim and Hoge Beuken, Antwerp, Belgium
| | - Johannes Kornhuber
- Department of Psychiatry and Psychotherapy, Universitätsklinikum Erlangen, and Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany
| | | | - Maria Bjerke
- Reference Center for Biological Markers of Dementia (BIODEM), Laboratory of Neurochemistry and Behavior, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Sebastiaan Engelborghs
- Reference Center for Biological Markers of Dementia (BIODEM), Laboratory of Neurochemistry and Behavior, 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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4
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Gmitterová K, Gawinecka J, Llorens F, Varges D, Valkovič P, Zerr I. Cerebrospinal fluid markers analysis in the differential diagnosis of dementia with Lewy bodies and Parkinson's disease dementia. Eur Arch Psychiatry Clin Neurosci 2020; 270:461-470. [PMID: 30083957 DOI: 10.1007/s00406-018-0928-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2018] [Accepted: 07/16/2018] [Indexed: 01/18/2023]
Abstract
Dementia with Lewy bodies (DLB) and Parkinson's disease dementia (PDD) share a couple of clinical similarities that is often a source of diagnostic pitfalls. We evaluated the discriminatory potential of brain-derived CSF markers [tau, p-tau (181P), Aβ1-42, NSE and S100B] across the spectrum of Lewy body disorders and assessed whether particular markers are associated with cognitive status in investigated patients. The tau CSF level, amyloid β1-42 and p-tau/tau ratio were helpful in the distinction between DLB and PDD (p = 0.04, p = 0.002 and p = 0.02, respectively) as well as from PD patients (p < 0.001, p = 0.001 and p = 0.002, respectively). Furthermore, the p-tau/tau ratio enabled the differentiation of DLB with mild dementia from PDD patients (p = 0.02). The CSF tau and p-tau levels in DLB and CSF tau and p-tau/tau ratio in PDD patients reflected the severity of dementia. Rapid disease course was associated with the decrease of Aβ1-42 in DLB but not in PDD. Elevation of S100B in DLB (p < 0.0001) as well as in PDD patients (p = 0.002) in comparison to controls was estimated. Hence, with the appropriate clinical context; the CSF marker profile could be helpful in distinguishing DLB from PDD patients even in early stages of dementia.
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Affiliation(s)
- Karin Gmitterová
- Department of Neurology, Clinical Dementia Center and DZNE, National TSE Reference Centre, University Medical School, Georg-August University, Robert-Koch-Str. 40, 37073, Göttingen, Germany
- Second Department of Neurology, Comenius University, Bratislava, Slovakia
| | - Joanna Gawinecka
- Department of Neurology, Clinical Dementia Center and DZNE, National TSE Reference Centre, University Medical School, Georg-August University, Robert-Koch-Str. 40, 37073, Göttingen, Germany
- Institute for Clinical Chemistry, University Hospital Zurich, Zurich, Switzerland
| | - Franc Llorens
- Department of Neurology, Clinical Dementia Center and DZNE, National TSE Reference Centre, University Medical School, Georg-August University, Robert-Koch-Str. 40, 37073, Göttingen, Germany
| | - Daniela Varges
- Department of Neurology, Clinical Dementia Center and DZNE, National TSE Reference Centre, University Medical School, Georg-August University, Robert-Koch-Str. 40, 37073, Göttingen, Germany
| | - Peter Valkovič
- Second Department of Neurology, Comenius University, Bratislava, Slovakia
| | - Inga Zerr
- Department of Neurology, Clinical Dementia Center and DZNE, National TSE Reference Centre, University Medical School, Georg-August University, Robert-Koch-Str. 40, 37073, Göttingen, Germany.
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5
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Fink HA, Linskens EJ, Silverman PC, McCarten JR, Hemmy LS, Ouellette JM, Greer NL, Wilt TJ, Butler M. Accuracy of Biomarker Testing for Neuropathologically Defined Alzheimer Disease in Older Adults With Dementia. Ann Intern Med 2020; 172:669-677. [PMID: 32340038 DOI: 10.7326/m19-3888] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Biomarker accuracy for Alzheimer disease (AD) is uncertain. PURPOSE To summarize evidence on biomarker accuracy for classifying AD in older adults with dementia. DATA SOURCES Electronic bibliographic databases (searched from January 2012 to November 2019 for brain imaging and cerebrospinal fluid [CSF] tests and from inception to November 2019 for blood tests), ClinicalTrials.gov (to November 2019), and systematic review bibliographies. STUDY SELECTION English-language studies evaluating the accuracy of brain imaging, CSF testing, or blood tests for distinguishing neuropathologically defined AD from non-AD among older adults with dementia. Studies with low or medium risk of bias were analyzed. DATA EXTRACTION Two reviewers rated risk of bias. One extracted data; the other verified accuracy. DATA SYNTHESIS Fifteen brain imaging studies and 9 CSF studies met analysis criteria. Median sensitivity and specificity, respectively, were 0.91 and 0.92 for amyloid positron emission tomography (PET), 0.89 and 0.74 for 18F-labeled fluorodeoxyglucose (18F-FDG) PET, 0.64 and 0.83 for single-photon emission computed tomography, and 0.91 and 0.89 for medial temporal lobe atrophy on magnetic resonance imaging (MRI). Individual CSF biomarkers and ratios had moderate sensitivity (range, 0.62 to 0.83) and specificity (range, 0.53 to 0.69); in the few direct comparisons, β-amyloid 42 (Aβ42)/phosphorylated tau (p-tau) ratio, total tau (t-tau)/Aβ42 ratio, and p-tau appeared more accurate than Aβ42 and t-tau alone. Single studies suggested that amyloid PET, 18F-FDG PET, and CSF test combinations may add accuracy to clinical evaluation. LIMITATIONS Studies were small, biomarker cut points and neuropathologic AD were inconsistently defined, and methods with uncertain applicability to typical clinical settings were used. Few studies directly compared biomarkers, assessed test combinations, evaluated whether biomarkers improved classification accuracy when added to clinical evaluation, or reported harms. CONCLUSION In methodologically heterogeneous studies of uncertain applicability to typical clinical settings, amyloid PET, 18F-FDG PET, and MRI were highly sensitive for neuropathologic AD. Amyloid PET, 18F-FDG PET, and CSF test combinations may add accuracy to clinical evaluation. PRIMARY FUNDING SOURCE Agency for Healthcare Research and Quality. (PROSPERO: CRD42018117897).
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Affiliation(s)
- Howard A Fink
- Minneapolis VA Health Care System and University of Minnesota, Minneapolis, Minnesota (H.A.F., J.R.M., L.S.H., T.J.W.)
| | - Eric J Linskens
- Minneapolis VA Health Care System, Minneapolis, Minnesota (E.J.L., N.L.G.)
| | | | - J Riley McCarten
- Minneapolis VA Health Care System and University of Minnesota, Minneapolis, Minnesota (H.A.F., J.R.M., L.S.H., T.J.W.)
| | - Laura S Hemmy
- Minneapolis VA Health Care System and University of Minnesota, Minneapolis, Minnesota (H.A.F., J.R.M., L.S.H., T.J.W.)
| | | | - Nancy L Greer
- Minneapolis VA Health Care System, Minneapolis, Minnesota (E.J.L., N.L.G.)
| | - Timothy J Wilt
- Minneapolis VA Health Care System and University of Minnesota, Minneapolis, Minnesota (H.A.F., J.R.M., L.S.H., T.J.W.)
| | - Mary Butler
- University of Minnesota, Minneapolis, Minnesota (J.M.O., M.B.)
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6
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Irwin DJ. Neuropathological Validation of Cerebrospinal Fluid Biomarkers in Neurodegenerative Diseases. J Appl Lab Med 2019; 5:jalm.2019.029876. [PMID: 31811076 DOI: 10.1373/jalm.2019.029876] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Accepted: 10/23/2019] [Indexed: 12/12/2022]
Affiliation(s)
- David J Irwin
- Penn Digital Neuropathology Laboratory
- Penn Frontotemporal Degeneration Center, Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
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7
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Niemantsverdriet E, Feyen BFE, Le Bastard N, Martin JJ, Goeman J, De Deyn PP, Bjerke M, Engelborghs S. Added Diagnostic Value of Cerebrospinal Fluid Biomarkers for Differential Dementia Diagnosis in an Autopsy-Confirmed Cohort. J Alzheimers Dis 2019; 63:373-381. [PMID: 29614653 PMCID: PMC5900550 DOI: 10.3233/jad-170927] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
Background: Differential dementia diagnosis remains a challenge due to overlap of clinical profiles, which often results in diagnostic doubt. Objective: Determine the added diagnostic value of cerebrospinal fluid (CSF) biomarkers for differential dementia diagnosis as compared to autopsy-confirmed diagnosis. Methods: Seventy-one dementia patients with autopsy-confirmed diagnoses were included in this study. All neuropathological diagnoses were established according to standard neuropathological criteria and consisted of Alzheimer’s disease (AD) or other dementias (NONAD). CSF levels of Aβ1 - 42, T-tau, and P-tau181 were determined and interpreted based on the IWG-2 and NIA-AA criteria, separately. A panel of three neurologists experienced with dementia made clinical consensus dementia diagnoses. Clinical and CSF biomarker diagnoses were compared to the autopsy-confirmed diagnoses. Results: Forty-two patients (59%) had autopsy-confirmed AD, whereas 29 patients (41%) had autopsy-confirmed NONAD. Of the 24 patients with an ambiguous clinical dementia diagnosis, a correct diagnosis would have been established in 67% of the cases applying CSF biomarkers in the context of the IWG-2 or the NIA-AA criteria respectively. Conclusion: AD CSF biomarkers have an added diagnostic value in differential dementia diagnosis and can help establishing a correct dementia diagnosis in case of ambiguous clinical dementia diagnoses.
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Affiliation(s)
- Ellis Niemantsverdriet
- Reference Center for Biological Markers of Dementia (BIODEM), Laboratory of Neurochemistry and Behavior, and Biobank, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Bart F E Feyen
- Reference Center for Biological Markers of Dementia (BIODEM), Laboratory of Neurochemistry and Behavior, and Biobank, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium.,Current affiliation: Department of Neurosurgery, University Hospital Antwerp, Edegem, Belgium
| | - Nathalie Le Bastard
- Reference Center for Biological Markers of Dementia (BIODEM), Laboratory of Neurochemistry and Behavior, and Biobank, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium.,Current affiliation: Fujirebio Europe, Ghent, Belgium
| | - Jean-Jacques Martin
- Reference Center for Biological Markers of Dementia (BIODEM), Laboratory of Neurochemistry and Behavior, and Biobank, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Johan Goeman
- Department of Neurology and Memory Clinic, Hospital Network Antwerp (ZNA) Middelheim and Hoge Beuken, Antwerp, Belgium
| | - Peter Paul De Deyn
- Reference Center for Biological Markers of Dementia (BIODEM), Laboratory of Neurochemistry and Behavior, and Biobank, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium.,Department of Neurology and Memory Clinic, Hospital Network Antwerp (ZNA) Middelheim and Hoge Beuken, Antwerp, Belgium
| | - Maria Bjerke
- Reference Center for Biological Markers of Dementia (BIODEM), Laboratory of Neurochemistry and Behavior, and Biobank, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Sebastiaan Engelborghs
- Reference Center for Biological Markers of Dementia (BIODEM), Laboratory of Neurochemistry and Behavior, and Biobank, 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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8
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Schaeffer MJ, Callahan BL. Investigating the Association Between Verbal Forgetting and Pathological Markers of Alzheimer's and Lewy Body Diseases. J Alzheimers Dis 2019; 70:877-887. [PMID: 31282412 DOI: 10.3233/jad-180962] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND The percentage of verbal forgetting (VF%) measure of the Rey Auditory Verbal Learning Test (RAVLT) has been proposed to differentiate patients diagnosed clinically with Alzheimer's disease (AD) and dementia with Lewy bodies (DLB). OBJECTIVE To determine if VF% aligns with gold-standard biomarker and autopsy evidence of AD and DLB neuropathology. METHODS Clinical, cognitive, sociodemographic, and biomarker data were collected from 315 patients with baseline cognitive impairment and 485 normal controls from the Alzheimer's Disease Neuroimaging Initiative (ADNI). AD markers included reduced cerebrospinal fluid (CSF) amyloid-β, elevated total-tau and phosphorylated-tau, hippocampal atrophy, and the presence of amyloid plaques and neurofibrillary tangles at autopsy. DLB markers included reduced CSF α-synuclein, preserved hippocampus, atrophied putamen, occipital glucose metabolism, and the presence of Lewy bodies at autopsy. Cognitively impaired participants were classified as ADVF% (n = 190) or DLBVF% (n = 125) based on their RAVLT VF% scores using a 75% cut-off (≥75% = ADVF%, <75% = DLBVF%). Postmortem data were available for 13 ADVF% participants, 13 DLBVF% patients, and six healthy controls. RESULTS ADVF% and DLBVF% participants did not differ on CSF or neuroimaging biomarkers, with the exception of total tau levels which were higher in ADVF%. In the subset of participants with autopsy data, comorbid AD and DLB pathology was most frequent in ADVF% participants, and pure DLB pathology was most frequent in DLBVF% participants, however, these differences were not statistically significant. CONCLUSION The RAVLT VF% measure does not reliably align with AD and DLB neuropathology in ADNI participants.
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Affiliation(s)
| | - Brandy L Callahan
- Department of Psychology, University of Calgary, Calgary, AB, Canada.,Hotchkiss Brain Institute, Calgary, AB, Canada.,Mathison Centre for Mental Health Research & Education, Calgary, AB, Canada
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9
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Bjerke M, Engelborghs S. Cerebrospinal Fluid Biomarkers for Early and Differential Alzheimer's Disease Diagnosis. J Alzheimers Dis 2019; 62:1199-1209. [PMID: 29562530 PMCID: PMC5870045 DOI: 10.3233/jad-170680] [Citation(s) in RCA: 64] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
An accurate and early diagnosis of Alzheimer’s disease (AD) is important to select optimal patient care and is critical in current clinical trials targeting core AD neuropathological features. The past decades, much progress has been made in the development and validation of cerebrospinal fluid (CSF) biomarkers for the biochemical diagnosis of AD, including standardization and harmonization of (pre-) analytical procedures. This has resulted in three core CSF biomarkers for AD diagnostics, namely the 42 amino acid long amyloid-beta peptide (Aβ1-42), total tau protein (T-tau), and tau phosphorylated at threonine 181 (P-tau181). These biomarkers have been incorporated into research diagnostic criteria for AD and have an added value in the (differential) diagnosis of AD and related disorders, including mixed pathologies, atypical presentations, and in case of ambiguous clinical dementia diagnoses. The implementation of the CSF Aβ1-42/Aβ1-40 ratio in the core biomarker panel will improve the biomarker analytical variability, and will also improve early and differential AD diagnosis through a more accurate reflection of pathology. Numerous biomarkers are being investigated for their added value to the core AD biomarkers, aiming at the AD core pathological features like the amyloid mismetabolism, tau pathology, or synaptic or neuronal degeneration. Others aim at non-AD neurodegenerative, vascular or inflammatory hallmarks. Biomarkers are essential for an accurate identification of preclinical AD in the context of clinical trials with potentially disease-modifying drugs. Therefore, a biomarker-based early diagnosis of AD offers great opportunities for preventive treatment development in the near future.
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Affiliation(s)
- Maria Bjerke
- Reference Center for Biological Markers of Dementia (BIODEM), 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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10
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Hansen D, Ling H, Lashley T, Holton JL, Warner TT. Review: Clinical, neuropathological and genetic features of Lewy body dementias. Neuropathol Appl Neurobiol 2019; 45:635-654. [PMID: 30977926 DOI: 10.1111/nan.12554] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2018] [Accepted: 04/09/2019] [Indexed: 01/08/2023]
Abstract
Lewy body dementias are the second most common neurodegenerative dementias after Alzheimer's disease and include dementia with Lewy bodies and Parkinson's disease dementia. They share similar clinical and neuropathological features but differ in the time of dementia and parkinsonism onset. Although Lewy bodies are their main pathological hallmark, several studies have shown the emerging importance of Alzheimer's disease pathology. Clinical amyloid-β imaging using Pittsburgh Compound B (PiB) supports neuropathological studies which found that amyloid-β pathology is more common in dementia with Lewy bodies than in Parkinson's disease dementia. Nevertheless, other co-occurring pathologies, such as cerebral amyloid angiopathy, TDP-43 pathology and synaptic pathology may also influence the development of neurodegeneration and dementia. Recent genetic studies demonstrated an important role of APOE genotype and other genes such as GBA and SNCA which seem to be involved in the pathophysiology of Lewy body dementias. The aim of this article is to review the main clinical, neuropathological and genetic aspects of dementia with Lewy bodies and Parkinson's disease dementia. This is particularly relevant as future management for these two conditions may differ.
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Affiliation(s)
- D Hansen
- Reta Lila Weston Institute, UCL Queen Square Institute of Neurology, London, UK
| | - H Ling
- Reta Lila Weston Institute, UCL Queen Square Institute of Neurology, London, UK.,Queen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, London, UK
| | - T Lashley
- Queen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, London, UK
| | - J L Holton
- Queen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, London, UK
| | - T T Warner
- Reta Lila Weston Institute, UCL Queen Square Institute of Neurology, London, UK.,Queen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, London, UK
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11
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Bousiges O, Blanc F. Diagnostic value of cerebro-spinal fluid biomarkers in dementia with lewy bodies. Clin Chim Acta 2019; 490:222-228. [DOI: 10.1016/j.cca.2018.11.027] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2018] [Revised: 11/20/2018] [Accepted: 11/20/2018] [Indexed: 12/17/2022]
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12
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Lewczuk P, Riederer P, O’Bryant SE, Verbeek MM, Dubois B, Visser PJ, Jellinger KA, Engelborghs S, Ramirez A, Parnetti L, Jack CR, Teunissen CE, Hampel H, Lleó A, Jessen F, Glodzik L, de Leon MJ, Fagan AM, Molinuevo JL, Jansen WJ, Winblad B, Shaw LM, Andreasson U, Otto M, Mollenhauer B, Wiltfang J, Turner MR, Zerr I, Handels R, Thompson AG, Johansson G, Ermann N, Trojanowski JQ, Karaca I, Wagner H, Oeckl P, van Waalwijk van Doorn L, Bjerke M, Kapogiannis D, Kuiperij HB, Farotti L, Li Y, Gordon BA, Epelbaum S, Vos SJB, Klijn CJM, Van Nostrand WE, Minguillon C, Schmitz M, Gallo C, Mato AL, Thibaut F, Lista S, Alcolea D, Zetterberg H, Blennow K, Kornhuber J, Riederer P, Gallo C, Kapogiannis D, Mato AL, Thibaut F. Cerebrospinal fluid and blood biomarkers for neurodegenerative dementias: An update of the Consensus of the Task Force on Biological Markers in Psychiatry of the World Federation of Societies of Biological Psychiatry. World J Biol Psychiatry 2018; 19:244-328. [PMID: 29076399 PMCID: PMC5916324 DOI: 10.1080/15622975.2017.1375556] [Citation(s) in RCA: 184] [Impact Index Per Article: 30.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
In the 12 years since the publication of the first Consensus Paper of the WFSBP on biomarkers of neurodegenerative dementias, enormous advancement has taken place in the field, and the Task Force takes now the opportunity to extend and update the original paper. New concepts of Alzheimer's disease (AD) and the conceptual interactions between AD and dementia due to AD were developed, resulting in two sets for diagnostic/research criteria. Procedures for pre-analytical sample handling, biobanking, analyses and post-analytical interpretation of the results were intensively studied and optimised. A global quality control project was introduced to evaluate and monitor the inter-centre variability in measurements with the goal of harmonisation of results. Contexts of use and how to approach candidate biomarkers in biological specimens other than cerebrospinal fluid (CSF), e.g. blood, were precisely defined. Important development was achieved in neuroimaging techniques, including studies comparing amyloid-β positron emission tomography results to fluid-based modalities. Similarly, development in research laboratory technologies, such as ultra-sensitive methods, raises our hopes to further improve analytical and diagnostic accuracy of classic and novel candidate biomarkers. Synergistically, advancement in clinical trials of anti-dementia therapies energises and motivates the efforts to find and optimise the most reliable early diagnostic modalities. Finally, the first studies were published addressing the potential of cost-effectiveness of the biomarkers-based diagnosis of neurodegenerative disorders.
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Affiliation(s)
- Piotr Lewczuk
- Department of Psychiatry and Psychotherapy, Universitätsklinikum Erlangen, and Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany
- Department of Neurodegeneration Diagnostics, Medical University of Białystok, and Department of Biochemical Diagnostics, University Hospital of Białystok, Białystok, Poland
| | - Peter Riederer
- Center of Mental Health, Clinic and Policlinic of Psychiatry, Psychosomatics and Psychotherapy, University Hospital Würzburg, Würzburg, Germany
| | - Sid E. O’Bryant
- Institute for Healthy Aging, University of North Texas Health Science Center, Fort Worth, TX, USA
| | - Marcel M. Verbeek
- Department of Neurology, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer Center, Nijmegen, The Netherlands
- Department of Laboratory Medicine, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer center, Nijmegen, The Netherlands
| | - Bruno Dubois
- Institut de la Mémoire et de la Maladie d’Alzheimer (IM2A), Salpêtrièrie Hospital, INSERM UMR-S 975 (ICM), Paris 6 University, Paris, France
| | - Pieter Jelle Visser
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht University, Maastricht, The Netherlands
- Department of Neurology, Alzheimer Centre, Amsterdam Neuroscience VU University Medical Centre, Amsterdam, The Netherlands
| | | | - Sebastiaan Engelborghs
- Reference Center for Biological Markers of Dementia (BIODEM), University of Antwerp, Antwerp, Belgium
- Department of Neurology and Memory Clinic, Hospital Network Antwerp (ZNA) Middelheim and Hoge Beuken, Antwerp, Belgium
| | - Alfredo Ramirez
- Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Department of Psychiatry and Psychotherapy, University of Cologne, Cologne, Germany
| | - Lucilla Parnetti
- Section of Neurology, Center for Memory Disturbances, Lab of Clinical Neurochemistry, University of Perugia, Perugia, Italy
| | | | - Charlotte E. Teunissen
- Neurochemistry Lab and Biobank, Department of Clinical Chemistry, Amsterdam Neuroscience, VU University Medical Center Amsterdam, Amsterdam, The Netherlands
| | - Harald Hampel
- AXA Research Fund & UPMC Chair, Sorbonne Universités, Université Pierre et Marie Curie (UPMC) Paris 06, Inserm, CNRS, Institut du Cerveau et de la Moelle Épinière (ICM), Département de Neurologie, Institut de la Mémoire et de la Maladie d’Alzheimer (IM2A), Hôpital Pitié-Salpêtrière, Boulevard de l’hôpital, Paris, France
| | - Alberto Lleó
- Department of Neurology, Institut d’Investigacions Biomèdiques Sant Pau - Hospital de Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, CIBERNED, Spain
| | - Frank Jessen
- Department of Psychiatry and Psychotherapy, University of Cologne, Cologne, Germany
- German Center for Neurodegenerative Disorders (DZNE), Bonn, Germany
| | - Lidia Glodzik
- Center for Brain Health, Department of Psychiatry, NYU Langone Medical Center, New York, NY, USA
| | - Mony J. de Leon
- Center for Brain Health, Department of Psychiatry, NYU Langone Medical Center, New York, NY, USA
| | - Anne M. Fagan
- Knight Alzheimer’s Disease Research Center, Washington University School of Medicine, Saint Louis, MO, USA
- Department of Neurology, Washington University School of Medicine, Saint Louis, MO, USA
| | - José Luis Molinuevo
- Barcelonabeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain
- Alzheimer’s Disease and Other Cognitive Disorders Unit, Hospital Clínic, Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Willemijn J. Jansen
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht University, Maastricht, The Netherlands
| | - Bengt Winblad
- Karolinska Institutet, Department NVS, Center for Alzheimer Research, Division of Neurogeriatrics, Huddinge, Sweden
| | - Leslie M. Shaw
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Ulf Andreasson
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Markus Otto
- Department of Neurology, University of Ulm, Ulm, Germany
| | - Brit Mollenhauer
- Paracelsus-Elena-Klinik, Kassel and University Medical Center Göttingen, Department of Neurology, Göttingen, Germany
| | - Jens Wiltfang
- Department of Psychiatry & Psychotherapy, University of Göttingen, Göttingen, Germany
- German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany
- iBiMED, Medical Sciences Department, University of Aveiro, Aveiro, Portugal
| | - Martin R. Turner
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Inga Zerr
- German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany
- Clinical Dementia Centre, Department of Neurology, University Medical School, Göttingen, Germany
| | - Ron Handels
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht University, Maastricht, The Netherlands
- Karolinska Institutet, Department NVS, Center for Alzheimer Research, Division of Neurogeriatrics, Huddinge, Sweden
| | | | - Gunilla Johansson
- Karolinska Institutet, Department NVS, Center for Alzheimer Research, Division of Neurogeriatrics, Huddinge, Sweden
| | - Natalia Ermann
- Department of Psychiatry and Psychotherapy, Universitätsklinikum Erlangen, and Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany
| | - John Q. Trojanowski
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Ilker Karaca
- Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
| | - Holger Wagner
- Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
| | - Patrick Oeckl
- Department of Neurology, University of Ulm, Ulm, Germany
| | - Linda van Waalwijk van Doorn
- Department of Neurology, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer Center, Nijmegen, The Netherlands
- Department of Laboratory Medicine, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer center, Nijmegen, The Netherlands
| | - Maria Bjerke
- Reference Center for Biological Markers of Dementia (BIODEM), University of Antwerp, Antwerp, Belgium
| | - Dimitrios Kapogiannis
- Laboratory of Neurosciences, National Institute on Aging/National Institutes of Health (NIA/NIH), Baltimore, MD, USA
| | - H. Bea Kuiperij
- Department of Neurology, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer Center, Nijmegen, The Netherlands
- Department of Laboratory Medicine, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer center, Nijmegen, The Netherlands
| | - Lucia Farotti
- Section of Neurology, Center for Memory Disturbances, Lab of Clinical Neurochemistry, University of Perugia, Perugia, Italy
| | - Yi Li
- Center for Brain Health, Department of Psychiatry, NYU Langone Medical Center, New York, NY, USA
| | - Brian A. Gordon
- Knight Alzheimer’s Disease Research Center, Washington University School of Medicine, Saint Louis, MO, USA
- Department of Radiology, Washington University School of Medicine, Saint Louis, MO, USA
| | - Stéphane Epelbaum
- Institut de la Mémoire et de la Maladie d’Alzheimer (IM2A), Salpêtrièrie Hospital, INSERM UMR-S 975 (ICM), Paris 6 University, Paris, France
| | - Stephanie J. B. Vos
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht University, Maastricht, The Netherlands
| | - Catharina J. M. Klijn
- Department of Neurology, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer Center, Nijmegen, The Netherlands
| | | | - Carolina Minguillon
- Barcelonabeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain
| | - Matthias Schmitz
- German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany
- Clinical Dementia Centre, Department of Neurology, University Medical School, Göttingen, Germany
| | - Carla Gallo
- Departamento de Ciencias Celulares y Moleculares/Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Andrea Lopez Mato
- Chair of Psychoneuroimmunoendocrinology, Maimonides University, Buenos Aires, Argentina
| | - Florence Thibaut
- Department of Psychiatry, University Hospital Cochin-Site Tarnier 89 rue d’Assas, INSERM 894, Faculty of Medicine Paris Descartes, Paris, France
| | - Simone Lista
- AXA Research Fund & UPMC Chair, Sorbonne Universités, Université Pierre et Marie Curie (UPMC) Paris 06, Inserm, CNRS, Institut du Cerveau et de la Moelle Épinière (ICM), Département de Neurologie, Institut de la Mémoire et de la Maladie d’Alzheimer (IM2A), Hôpital Pitié-Salpêtrière, Boulevard de l’hôpital, Paris, France
| | - Daniel Alcolea
- Department of Neurology, Institut d’Investigacions Biomèdiques Sant Pau - Hospital de Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, CIBERNED, Spain
| | - Henrik Zetterberg
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Department of Molecular Neuroscience, UCL Institute of Neurology, London, UK
| | - Kaj Blennow
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Johannes Kornhuber
- Department of Psychiatry and Psychotherapy, Universitätsklinikum Erlangen, and Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany
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13
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Bousiges O, Bombois S, Schraen S, Wallon D, Quillard MM, Gabelle A, Lehmann S, Paquet C, Amar-Bouaziz E, Magnin E, Miguet-Alfonsi C, Delbeuck X, Lavaux T, Anthony P, Philippi N, Blanc F. Cerebrospinal fluid Alzheimer biomarkers can be useful for discriminating dementia with Lewy bodies from Alzheimer's disease at the prodromal stage. J Neurol Neurosurg Psychiatry 2018; 89:467-475. [PMID: 29321140 DOI: 10.1136/jnnp-2017-316385] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2017] [Revised: 10/24/2017] [Accepted: 11/08/2017] [Indexed: 12/23/2022]
Abstract
BACKGROUND Differential diagnosis between dementia with Lewy bodies (DLB) and Alzheimer's disease (AD) is not straightforward, especially in the early stages of disease. We compared AD biomarkers (phospho-Tau181, total-Tau, Aβ42 and Aβ40) in cerebrospinal fluid (CSF) of patients with DLB and AD, focusing especially on the prodromal stage. METHODS A total of 1221 CSF were collected in different memory centres (ePLM network) in France and analysed retrospectively. Samples were obtained from patients with prodromal DLB (pro-DLB; n=57), DLB dementia (DLB-d; n=154), prodromal AD (pro-AD; n=132) and AD dementia (n=783), and control subjects (CS; n=95). These centres use the same diagnostic procedure and criteria to evaluate the patients. RESULTS In patients with pro-DLB, CSF Aβ42 levels appeared much less disrupted than in patients at the demented stage (DLB-d) (P<0.05 CS>pro-DLB; P<0.001 CS>DLB-d). On average, Aβ40 levels in patients with DLB (pro-DLB and DLB-d) were much below those in patients with pro-AD (P<0.001 DLB groups<pro-AD). The Aβ42/Aβ40 ratio in patients with pro-DLB remained close to that of CS. t-Tau and phospho-Tau181 levels were unaltered in patients with DLB (pro-DLB and DLB-d). CONCLUSIONS Reduced levels of CSF Aβ42 were found in patients with DLB but rather at a later stage, reaching those of patients with AD, in whom Aβ42 levels were decreased even at the prodromal stage. At the prodromal stage of DLB, the majority of patients presented a normal CSF profile. CSF t-Tau and phospho-Tau181 were the best biomarkers to discriminate between AD and DLB, whatever the stage of disease.
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Affiliation(s)
- Olivier Bousiges
- Laboratory of Biochemistry and Molecular Biology, and CNRS, Laboratoire de Neurosciences Cognitives et Adaptatives (LNCA), University Hospital of Strasbourg, Strasbourg, Alsace, France
| | - Stephanie Bombois
- Université Lille Nord de France, DISTALZ, Memory Center, Lille, France
| | - Susanna Schraen
- UMR-S 1172 - JPArc-Centre de recherches Jean-Pierre Aubert Neurosciences et Cancer and CHU Lille, UF Neurobiologie, Université Lille, Lille, France
| | - David Wallon
- Department of Neurology, Rouen University Hospital, Rouen, France
| | | | - Audrey Gabelle
- CMRR (Memory Resources and Research Centre), Department of Neurology, CHU de Montpellier, Hôpital, Gui de Chauliac, Montpellier, France
| | - Sylvain Lehmann
- Laboratoire de Biochimie et Protéomique Clinique, CHU de Montpellier and Université de Montpellier, IRMB, CRB, Montpellier, France
| | - Claire Paquet
- CMRR (Memory Resources and Research Centre) Paris Nord Ile de France and Histologie et Biologie du Vieillissement, Groupe Hospitalier Saint-Louis Lariboisière Fernand-Widal APHP, INSERM U942, Université Paris Diderot, Paris, France
| | - Elodie Amar-Bouaziz
- Service de Biochimie et Biologie moléculaire, GH Saint-Louis-Lariboisière-Fernand Widal, APHP, Paris, France
| | - Eloi Magnin
- Department of Neurology, Centre Mémoire Ressources Recherche Besançon Franche-Comté, CHU de Besançon, Besançon, France
| | | | - Xavier Delbeuck
- Université Lille Nord de France, DISTALZ, Memory Center, Lille, France
| | - Thomas Lavaux
- Laboratory of Biochemistry and Molecular Biology, University Hospital of Strasbourg, Strasbourg, France
| | - Pierre Anthony
- Neuropsychology Unit, Neurology Service, and CNRS, ICube Laboratory UMR 7357 and FMTS, Team IMIS/Neurocrypto, University Hospital of Strasbourg, CMRR (Memory Resources and Research Centre), Geriatrics Day Hospital, Geriatrics Service, Strasbourg, France
| | - Nathalie Philippi
- Neuropsychology Unit, Neurology Service, and CNRS, ICube Laboratory UMR 7357 and FMTS, Team IMIS/Neurocrypto, University Hospital of Strasbourg, CMRR (Memory Resources and Research Centre), Geriatrics Day Hospital, Geriatrics Service, Strasbourg, France
| | - Frederic Blanc
- Neuropsychology Unit, Neurology Service, and CNRS, ICube Laboratory UMR 7357 and FMTS, Team IMIS/Neurocrypto, University Hospital of Strasbourg, CMRR (Memory Resources and Research Centre), Geriatrics Day Hospital, Geriatrics Service, Strasbourg, France
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14
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Irwin DJ, Xie SX, Coughlin D, Nevler N, Akhtar RS, McMillan CT, Lee EB, Wolk DA, Weintraub D, Chen-Plotkin A, Duda JE, Spindler M, Siderowf A, Hurtig HI, Shaw LM, Grossman M, Trojanowski JQ. CSF tau and β-amyloid predict cerebral synucleinopathy in autopsied Lewy body disorders. Neurology 2018; 90:e1038-e1046. [PMID: 29467305 PMCID: PMC5874449 DOI: 10.1212/wnl.0000000000005166] [Citation(s) in RCA: 62] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2017] [Accepted: 12/15/2017] [Indexed: 01/29/2023] Open
Abstract
OBJECTIVE To test the association of antemortem CSF biomarkers with postmortem pathology in Lewy body disorders (LBD). METHODS Patients with autopsy-confirmed LBD (n = 24) and autopsy-confirmed Alzheimer disease (AD) (n = 23) and cognitively normal (n = 36) controls were studied. In LBD, neuropathologic criteria defined Lewy body α-synuclein (SYN) stages with medium/high AD copathology (SYN + AD = 10) and low/no AD copathology (SYN - AD = 14). Ordinal pathology scores for tau, β-amyloid (Aβ), and SYN pathology were averaged across 7 cortical regions to obtain a global cerebral score for each pathology. CSF total tau (t-tau), phosphorylated tau at threonine181, and Aβ1-42 levels were compared between LBD and control groups and correlated with global cerebral pathology scores in LBD with linear regression. Diagnostic accuracy for postmortem categorization of LBD into SYN + AD vs SYN - AD or neocortical vs brainstem/limbic SYN stage was tested with receiver operating curves. RESULTS SYN + AD had higher CSF t-tau (mean difference 27.0 ± 8.6 pg/mL) and lower Aβ1-42 (mean difference -84.0 ± 22.9 g/mL) compared to SYN - AD (p < 0.01, both). Increasing global cerebral tau and plaque scores were associated with higher CSF t-tau (R2 = 0.15-0.16, p < 0.05, both) and lower Aβ1-42 (R2 = 0.43-0.49, p < 0.001, both), while increasing cerebral SYN scores were associated with lower CSF Aβ1-42 (R2 = 0.31, p < 0.001) and higher CSF t-tau/Aβ1-42 ratio (R2 = 0.27, p = 0.01). CSF t-tau/Aβ1-42 ratio had 100% specificity and 90% sensitivity for SYN + AD, and CSF Aβ1-42 had 77% specificity and 82% sensitivity for neocortical SYN stage. CONCLUSIONS Higher antemortem CSF t-tau/Aβ1-42 and lower Aβ1-42 levels are predictive of increasing cerebral AD and SYN pathology. These biomarkers may identify patients with LBD vulnerable to cortical SYN pathology who may benefit from both SYN and AD-targeted disease-modifying therapies.
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Affiliation(s)
- David J Irwin
- From Penn Frontotemporal Degeneration Center (D.J.I., N.N., C.T.M., M.G.), Alzheimer's Disease Core Center (D.A.W., J.Q.T.), Department of Neurology (D.J.I., D.C., R.S.A., C.T.M., D.A.W., D.W., A.C.-P., M.S., A.S., H.I.H., M.G.), Penn Morris K. Udall Parkinson's Disease Research Center of Excellence (D.J.I., R.S.A., C.T.M., D.W., A.C.-P., J.E.D., M.G., J.Q.T.), Center for Neurodegenerative Disease Research (L.M.S., J.Q.T.), Translational Neuropathology Research Laboratory (E.B.L.), Department of Pathology and Laboratory Medicine (E.B.L., L.M.S., J.Q.T.), and Department of Biostatistics and Epidemiology Perelman School of Medicine (S.X.X.), University of Pennsylvania; and Parkinson's Disease Research, Education and Clinical Center (D.W., J.E.D.), Michael J. Crescenz VA Medical Center, Philadelphia, PA.
| | - Sharon X Xie
- From Penn Frontotemporal Degeneration Center (D.J.I., N.N., C.T.M., M.G.), Alzheimer's Disease Core Center (D.A.W., J.Q.T.), Department of Neurology (D.J.I., D.C., R.S.A., C.T.M., D.A.W., D.W., A.C.-P., M.S., A.S., H.I.H., M.G.), Penn Morris K. Udall Parkinson's Disease Research Center of Excellence (D.J.I., R.S.A., C.T.M., D.W., A.C.-P., J.E.D., M.G., J.Q.T.), Center for Neurodegenerative Disease Research (L.M.S., J.Q.T.), Translational Neuropathology Research Laboratory (E.B.L.), Department of Pathology and Laboratory Medicine (E.B.L., L.M.S., J.Q.T.), and Department of Biostatistics and Epidemiology Perelman School of Medicine (S.X.X.), University of Pennsylvania; and Parkinson's Disease Research, Education and Clinical Center (D.W., J.E.D.), Michael J. Crescenz VA Medical Center, Philadelphia, PA
| | - David Coughlin
- From Penn Frontotemporal Degeneration Center (D.J.I., N.N., C.T.M., M.G.), Alzheimer's Disease Core Center (D.A.W., J.Q.T.), Department of Neurology (D.J.I., D.C., R.S.A., C.T.M., D.A.W., D.W., A.C.-P., M.S., A.S., H.I.H., M.G.), Penn Morris K. Udall Parkinson's Disease Research Center of Excellence (D.J.I., R.S.A., C.T.M., D.W., A.C.-P., J.E.D., M.G., J.Q.T.), Center for Neurodegenerative Disease Research (L.M.S., J.Q.T.), Translational Neuropathology Research Laboratory (E.B.L.), Department of Pathology and Laboratory Medicine (E.B.L., L.M.S., J.Q.T.), and Department of Biostatistics and Epidemiology Perelman School of Medicine (S.X.X.), University of Pennsylvania; and Parkinson's Disease Research, Education and Clinical Center (D.W., J.E.D.), Michael J. Crescenz VA Medical Center, Philadelphia, PA
| | - Naomi Nevler
- From Penn Frontotemporal Degeneration Center (D.J.I., N.N., C.T.M., M.G.), Alzheimer's Disease Core Center (D.A.W., J.Q.T.), Department of Neurology (D.J.I., D.C., R.S.A., C.T.M., D.A.W., D.W., A.C.-P., M.S., A.S., H.I.H., M.G.), Penn Morris K. Udall Parkinson's Disease Research Center of Excellence (D.J.I., R.S.A., C.T.M., D.W., A.C.-P., J.E.D., M.G., J.Q.T.), Center for Neurodegenerative Disease Research (L.M.S., J.Q.T.), Translational Neuropathology Research Laboratory (E.B.L.), Department of Pathology and Laboratory Medicine (E.B.L., L.M.S., J.Q.T.), and Department of Biostatistics and Epidemiology Perelman School of Medicine (S.X.X.), University of Pennsylvania; and Parkinson's Disease Research, Education and Clinical Center (D.W., J.E.D.), Michael J. Crescenz VA Medical Center, Philadelphia, PA
| | - Rizwan S Akhtar
- From Penn Frontotemporal Degeneration Center (D.J.I., N.N., C.T.M., M.G.), Alzheimer's Disease Core Center (D.A.W., J.Q.T.), Department of Neurology (D.J.I., D.C., R.S.A., C.T.M., D.A.W., D.W., A.C.-P., M.S., A.S., H.I.H., M.G.), Penn Morris K. Udall Parkinson's Disease Research Center of Excellence (D.J.I., R.S.A., C.T.M., D.W., A.C.-P., J.E.D., M.G., J.Q.T.), Center for Neurodegenerative Disease Research (L.M.S., J.Q.T.), Translational Neuropathology Research Laboratory (E.B.L.), Department of Pathology and Laboratory Medicine (E.B.L., L.M.S., J.Q.T.), and Department of Biostatistics and Epidemiology Perelman School of Medicine (S.X.X.), University of Pennsylvania; and Parkinson's Disease Research, Education and Clinical Center (D.W., J.E.D.), Michael J. Crescenz VA Medical Center, Philadelphia, PA
| | - Corey T McMillan
- From Penn Frontotemporal Degeneration Center (D.J.I., N.N., C.T.M., M.G.), Alzheimer's Disease Core Center (D.A.W., J.Q.T.), Department of Neurology (D.J.I., D.C., R.S.A., C.T.M., D.A.W., D.W., A.C.-P., M.S., A.S., H.I.H., M.G.), Penn Morris K. Udall Parkinson's Disease Research Center of Excellence (D.J.I., R.S.A., C.T.M., D.W., A.C.-P., J.E.D., M.G., J.Q.T.), Center for Neurodegenerative Disease Research (L.M.S., J.Q.T.), Translational Neuropathology Research Laboratory (E.B.L.), Department of Pathology and Laboratory Medicine (E.B.L., L.M.S., J.Q.T.), and Department of Biostatistics and Epidemiology Perelman School of Medicine (S.X.X.), University of Pennsylvania; and Parkinson's Disease Research, Education and Clinical Center (D.W., J.E.D.), Michael J. Crescenz VA Medical Center, Philadelphia, PA
| | - Edward B Lee
- From Penn Frontotemporal Degeneration Center (D.J.I., N.N., C.T.M., M.G.), Alzheimer's Disease Core Center (D.A.W., J.Q.T.), Department of Neurology (D.J.I., D.C., R.S.A., C.T.M., D.A.W., D.W., A.C.-P., M.S., A.S., H.I.H., M.G.), Penn Morris K. Udall Parkinson's Disease Research Center of Excellence (D.J.I., R.S.A., C.T.M., D.W., A.C.-P., J.E.D., M.G., J.Q.T.), Center for Neurodegenerative Disease Research (L.M.S., J.Q.T.), Translational Neuropathology Research Laboratory (E.B.L.), Department of Pathology and Laboratory Medicine (E.B.L., L.M.S., J.Q.T.), and Department of Biostatistics and Epidemiology Perelman School of Medicine (S.X.X.), University of Pennsylvania; and Parkinson's Disease Research, Education and Clinical Center (D.W., J.E.D.), Michael J. Crescenz VA Medical Center, Philadelphia, PA
| | - David A Wolk
- From Penn Frontotemporal Degeneration Center (D.J.I., N.N., C.T.M., M.G.), Alzheimer's Disease Core Center (D.A.W., J.Q.T.), Department of Neurology (D.J.I., D.C., R.S.A., C.T.M., D.A.W., D.W., A.C.-P., M.S., A.S., H.I.H., M.G.), Penn Morris K. Udall Parkinson's Disease Research Center of Excellence (D.J.I., R.S.A., C.T.M., D.W., A.C.-P., J.E.D., M.G., J.Q.T.), Center for Neurodegenerative Disease Research (L.M.S., J.Q.T.), Translational Neuropathology Research Laboratory (E.B.L.), Department of Pathology and Laboratory Medicine (E.B.L., L.M.S., J.Q.T.), and Department of Biostatistics and Epidemiology Perelman School of Medicine (S.X.X.), University of Pennsylvania; and Parkinson's Disease Research, Education and Clinical Center (D.W., J.E.D.), Michael J. Crescenz VA Medical Center, Philadelphia, PA
| | - Daniel Weintraub
- From Penn Frontotemporal Degeneration Center (D.J.I., N.N., C.T.M., M.G.), Alzheimer's Disease Core Center (D.A.W., J.Q.T.), Department of Neurology (D.J.I., D.C., R.S.A., C.T.M., D.A.W., D.W., A.C.-P., M.S., A.S., H.I.H., M.G.), Penn Morris K. Udall Parkinson's Disease Research Center of Excellence (D.J.I., R.S.A., C.T.M., D.W., A.C.-P., J.E.D., M.G., J.Q.T.), Center for Neurodegenerative Disease Research (L.M.S., J.Q.T.), Translational Neuropathology Research Laboratory (E.B.L.), Department of Pathology and Laboratory Medicine (E.B.L., L.M.S., J.Q.T.), and Department of Biostatistics and Epidemiology Perelman School of Medicine (S.X.X.), University of Pennsylvania; and Parkinson's Disease Research, Education and Clinical Center (D.W., J.E.D.), Michael J. Crescenz VA Medical Center, Philadelphia, PA
| | - Alice Chen-Plotkin
- From Penn Frontotemporal Degeneration Center (D.J.I., N.N., C.T.M., M.G.), Alzheimer's Disease Core Center (D.A.W., J.Q.T.), Department of Neurology (D.J.I., D.C., R.S.A., C.T.M., D.A.W., D.W., A.C.-P., M.S., A.S., H.I.H., M.G.), Penn Morris K. Udall Parkinson's Disease Research Center of Excellence (D.J.I., R.S.A., C.T.M., D.W., A.C.-P., J.E.D., M.G., J.Q.T.), Center for Neurodegenerative Disease Research (L.M.S., J.Q.T.), Translational Neuropathology Research Laboratory (E.B.L.), Department of Pathology and Laboratory Medicine (E.B.L., L.M.S., J.Q.T.), and Department of Biostatistics and Epidemiology Perelman School of Medicine (S.X.X.), University of Pennsylvania; and Parkinson's Disease Research, Education and Clinical Center (D.W., J.E.D.), Michael J. Crescenz VA Medical Center, Philadelphia, PA
| | - John E Duda
- From Penn Frontotemporal Degeneration Center (D.J.I., N.N., C.T.M., M.G.), Alzheimer's Disease Core Center (D.A.W., J.Q.T.), Department of Neurology (D.J.I., D.C., R.S.A., C.T.M., D.A.W., D.W., A.C.-P., M.S., A.S., H.I.H., M.G.), Penn Morris K. Udall Parkinson's Disease Research Center of Excellence (D.J.I., R.S.A., C.T.M., D.W., A.C.-P., J.E.D., M.G., J.Q.T.), Center for Neurodegenerative Disease Research (L.M.S., J.Q.T.), Translational Neuropathology Research Laboratory (E.B.L.), Department of Pathology and Laboratory Medicine (E.B.L., L.M.S., J.Q.T.), and Department of Biostatistics and Epidemiology Perelman School of Medicine (S.X.X.), University of Pennsylvania; and Parkinson's Disease Research, Education and Clinical Center (D.W., J.E.D.), Michael J. Crescenz VA Medical Center, Philadelphia, PA
| | - Meredith Spindler
- From Penn Frontotemporal Degeneration Center (D.J.I., N.N., C.T.M., M.G.), Alzheimer's Disease Core Center (D.A.W., J.Q.T.), Department of Neurology (D.J.I., D.C., R.S.A., C.T.M., D.A.W., D.W., A.C.-P., M.S., A.S., H.I.H., M.G.), Penn Morris K. Udall Parkinson's Disease Research Center of Excellence (D.J.I., R.S.A., C.T.M., D.W., A.C.-P., J.E.D., M.G., J.Q.T.), Center for Neurodegenerative Disease Research (L.M.S., J.Q.T.), Translational Neuropathology Research Laboratory (E.B.L.), Department of Pathology and Laboratory Medicine (E.B.L., L.M.S., J.Q.T.), and Department of Biostatistics and Epidemiology Perelman School of Medicine (S.X.X.), University of Pennsylvania; and Parkinson's Disease Research, Education and Clinical Center (D.W., J.E.D.), Michael J. Crescenz VA Medical Center, Philadelphia, PA
| | - Andrew Siderowf
- From Penn Frontotemporal Degeneration Center (D.J.I., N.N., C.T.M., M.G.), Alzheimer's Disease Core Center (D.A.W., J.Q.T.), Department of Neurology (D.J.I., D.C., R.S.A., C.T.M., D.A.W., D.W., A.C.-P., M.S., A.S., H.I.H., M.G.), Penn Morris K. Udall Parkinson's Disease Research Center of Excellence (D.J.I., R.S.A., C.T.M., D.W., A.C.-P., J.E.D., M.G., J.Q.T.), Center for Neurodegenerative Disease Research (L.M.S., J.Q.T.), Translational Neuropathology Research Laboratory (E.B.L.), Department of Pathology and Laboratory Medicine (E.B.L., L.M.S., J.Q.T.), and Department of Biostatistics and Epidemiology Perelman School of Medicine (S.X.X.), University of Pennsylvania; and Parkinson's Disease Research, Education and Clinical Center (D.W., J.E.D.), Michael J. Crescenz VA Medical Center, Philadelphia, PA
| | - Howard I Hurtig
- From Penn Frontotemporal Degeneration Center (D.J.I., N.N., C.T.M., M.G.), Alzheimer's Disease Core Center (D.A.W., J.Q.T.), Department of Neurology (D.J.I., D.C., R.S.A., C.T.M., D.A.W., D.W., A.C.-P., M.S., A.S., H.I.H., M.G.), Penn Morris K. Udall Parkinson's Disease Research Center of Excellence (D.J.I., R.S.A., C.T.M., D.W., A.C.-P., J.E.D., M.G., J.Q.T.), Center for Neurodegenerative Disease Research (L.M.S., J.Q.T.), Translational Neuropathology Research Laboratory (E.B.L.), Department of Pathology and Laboratory Medicine (E.B.L., L.M.S., J.Q.T.), and Department of Biostatistics and Epidemiology Perelman School of Medicine (S.X.X.), University of Pennsylvania; and Parkinson's Disease Research, Education and Clinical Center (D.W., J.E.D.), Michael J. Crescenz VA Medical Center, Philadelphia, PA
| | - Leslie M Shaw
- From Penn Frontotemporal Degeneration Center (D.J.I., N.N., C.T.M., M.G.), Alzheimer's Disease Core Center (D.A.W., J.Q.T.), Department of Neurology (D.J.I., D.C., R.S.A., C.T.M., D.A.W., D.W., A.C.-P., M.S., A.S., H.I.H., M.G.), Penn Morris K. Udall Parkinson's Disease Research Center of Excellence (D.J.I., R.S.A., C.T.M., D.W., A.C.-P., J.E.D., M.G., J.Q.T.), Center for Neurodegenerative Disease Research (L.M.S., J.Q.T.), Translational Neuropathology Research Laboratory (E.B.L.), Department of Pathology and Laboratory Medicine (E.B.L., L.M.S., J.Q.T.), and Department of Biostatistics and Epidemiology Perelman School of Medicine (S.X.X.), University of Pennsylvania; and Parkinson's Disease Research, Education and Clinical Center (D.W., J.E.D.), Michael J. Crescenz VA Medical Center, Philadelphia, PA
| | - Murray Grossman
- From Penn Frontotemporal Degeneration Center (D.J.I., N.N., C.T.M., M.G.), Alzheimer's Disease Core Center (D.A.W., J.Q.T.), Department of Neurology (D.J.I., D.C., R.S.A., C.T.M., D.A.W., D.W., A.C.-P., M.S., A.S., H.I.H., M.G.), Penn Morris K. Udall Parkinson's Disease Research Center of Excellence (D.J.I., R.S.A., C.T.M., D.W., A.C.-P., J.E.D., M.G., J.Q.T.), Center for Neurodegenerative Disease Research (L.M.S., J.Q.T.), Translational Neuropathology Research Laboratory (E.B.L.), Department of Pathology and Laboratory Medicine (E.B.L., L.M.S., J.Q.T.), and Department of Biostatistics and Epidemiology Perelman School of Medicine (S.X.X.), University of Pennsylvania; and Parkinson's Disease Research, Education and Clinical Center (D.W., J.E.D.), Michael J. Crescenz VA Medical Center, Philadelphia, PA
| | - John Q Trojanowski
- From Penn Frontotemporal Degeneration Center (D.J.I., N.N., C.T.M., M.G.), Alzheimer's Disease Core Center (D.A.W., J.Q.T.), Department of Neurology (D.J.I., D.C., R.S.A., C.T.M., D.A.W., D.W., A.C.-P., M.S., A.S., H.I.H., M.G.), Penn Morris K. Udall Parkinson's Disease Research Center of Excellence (D.J.I., R.S.A., C.T.M., D.W., A.C.-P., J.E.D., M.G., J.Q.T.), Center for Neurodegenerative Disease Research (L.M.S., J.Q.T.), Translational Neuropathology Research Laboratory (E.B.L.), Department of Pathology and Laboratory Medicine (E.B.L., L.M.S., J.Q.T.), and Department of Biostatistics and Epidemiology Perelman School of Medicine (S.X.X.), University of Pennsylvania; and Parkinson's Disease Research, Education and Clinical Center (D.W., J.E.D.), Michael J. Crescenz VA Medical Center, Philadelphia, PA
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15
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Mandecka M, Budziszewska M, Barczak A, Pepłońska B, Chodakowska-Żebrowska M, Filipek-Gliszczyńska A, Nesteruk M, Styczyńska M, Barcikowska M, Gabryelewicz T. Association between Cerebrospinal Fluid Biomarkers for Alzheimer's Disease, APOE Genotypes and Auditory Verbal Learning Task in Subjective Cognitive Decline, Mild Cognitive Impairment, and Alzheimer's Disease. J Alzheimers Dis 2018; 54:157-68. [PMID: 27472875 DOI: 10.3233/jad-160176] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
In the course of Alzheimer's disease (AD), early pathological changes in the brain start decades before any clinical manifestation. The concentration levels of AD cerebrospinal fluid (CSF) biomarkers, such as amyloid-β1-42 (Aβ1-42), total tau (T-tau), and phosphorylated tau (P-tau), may reflect a cerebral pathology facilitating an early diagnosis of the disease and predicting a cognitive deterioration. The aim of this study was to estimate the prevalence of AD CSF biomarkers in those individuals with a subjective cognitive decline (SCD), a mild cognitive impairment (MCI), and Alzheimer's dementia (AD-D), together with the relationships between the biomarkers, an APOE ɛ4 presence, and a verbal episodic memory performance. We included 252 patients from the memory clinic with a diagnosis of SCD (n = 85), MCI (n = 87), and AD-D (n = 80). A verbal episodic memory performance level was assessed and was based on a delayed recall trial from the 10-word list of an auditory verbal learning task (AVLT). We found that the patients with more severe cognitive impairments had significantly lower levels of Aβ1-42 and higher levels of T-tau and P-tau. This pattern was also typical for the APOE ɛ4 carriers, who had lower levels of Aβ1-42 than the noncarriers in the AD-D and MCI groups. The levels of T-tau and P-tau were significantly higher in the APOE ɛ4 carriers than in the noncarriers, but only in the MCI patients. The AVLT performance in the whole study samples was predicted by age, Aβ1-42, and the T-tau CSF biomarkers, but not by the APOE genotyping.
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Affiliation(s)
- Monika Mandecka
- Department of Neurodegenerative Disorders, Mossakowski Medical Research Center, Polish Academy of Science, Warsaw, Poland
| | | | - Anna Barczak
- Department of Neurodegenerative Disorders, Mossakowski Medical Research Center, Polish Academy of Science, Warsaw, Poland
| | - Beata Pepłońska
- Department of Neurodegenerative Disorders, Mossakowski Medical Research Center, Polish Academy of Science, Warsaw, Poland
| | | | | | | | - Maria Styczyńska
- Department of Neurodegenerative Disorders, Mossakowski Medical Research Center, Polish Academy of Science, Warsaw, Poland
| | - Maria Barcikowska
- Department of Neurodegenerative Disorders, Mossakowski Medical Research Center, Polish Academy of Science, Warsaw, Poland
| | - Tomasz Gabryelewicz
- Department of Neurodegenerative Disorders, Mossakowski Medical Research Center, Polish Academy of Science, Warsaw, Poland
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16
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Knapskog AB, Eldholm RS, Braekhus A, Engedal K, Saltvedt I. Factors that influence the levels of cerebrospinal fluid biomarkers in memory clinic patients. BMC Geriatr 2017; 17:210. [PMID: 28893185 PMCID: PMC5594466 DOI: 10.1186/s12877-017-0611-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2017] [Accepted: 09/06/2017] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The cerebrospinal fluid (CSF) biomarkers amyloid β (Aβ), phospho tau (P-tau) and total tau (T-tau) are used increasingly to support a clinical diagnosis of Alzheimer's disease. The diagnostic power of these biomarkers has been reported to vary among different studies' results. The results are poorer when heterogeneous groups of patients have been included compared to studies where patients with Alzheimer's dementia (AD) and healthy controls have been studied. The aim of this study was to examine if age, APOE genotype and sex were associated with the levels of CSF biomarkers among patients referred to a memory clinic. METHODS We included 257 patients from two memory clinics who had been assessed for dementia, including lumbar puncture. RESULTS The mean age of the patients was 68.1 (SD: 8.0) years; 50.2% were women and 66.5% were APOE ε4 positive. Of these patients, 80.5% were diagnosed with AD or amnestic MCI. Both APOE ε4 and increasing age were associated with decreasing levels of Aβ, but not the levels of the tau proteins. In multiple regression analyses, disease stage, defined as a MMSE ≥25 or <25, influenced factors associated with the CSF biomarkers. Among those with MMSE score ≥ 25, age, APOE ε4 genotype, and MMSE score, in addition to a diagnosis of AD, were associated with Aβ level, with an explained variance of 0.43. When using P-tau or T-tau as a dependent variable, the presence of one or two APOE ε4 alleles, and MMSE score influenced the results, in addition to the diagnosis of AD. The explained variance was lower for P-tau (0.26) and for T-tau (0.32). Among those with MMSE <25, these variables explained very little of the variance. There were no gender differences. CONCLUSIONS We found that factors in addition to a diagnosis of AD, were associated with the levels of CSF biomarkers. Among those with MMSE ≥25, lower levels of Aβ were associated with several factors including increasing age. This is not reflected in clinical practice, where age-specific cutoffs exist only for T-tau. In this study, age was not associated with the levels of tau proteins.
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Affiliation(s)
- Anne-Brita Knapskog
- Department of Geriatric Medicine, The memory clinic, Oslo University Hospital, Ullevaal, Postboks 4956, Nydalen, 0424, Oslo, Norway.
| | - Rannveig Sakshaug Eldholm
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Anne Braekhus
- Department of Geriatric Medicine, The memory clinic, Oslo University Hospital, Ullevaal, Postboks 4956, Nydalen, 0424, Oslo, Norway
| | - Knut Engedal
- Norwegian National Advisory Unit on Ageing and Health, Vestfold Hospital Trust, Postboks 2136, 3103, Tønsberg, Norway
| | - Ingvild Saltvedt
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.,Department of Geriatrics, St. Olav Hospital, University Hospital of Trondheim, Trondheim, Norway
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17
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Niemantsverdriet E, Valckx S, Bjerke M, Engelborghs S. Alzheimer's disease CSF biomarkers: clinical indications and rational use. Acta Neurol Belg 2017; 117:591-602. [PMID: 28752420 PMCID: PMC5565643 DOI: 10.1007/s13760-017-0816-5] [Citation(s) in RCA: 76] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2017] [Accepted: 07/12/2017] [Indexed: 11/29/2022]
Abstract
This review focusses on the validation and standardization of Alzheimer's disease (AD) cerebrospinal fluid (CSF) biomarkers, as well as on the current clinical indications and rational use of CSF biomarkers in daily clinical practice. The validated AD CSF biomarkers, Aβ1-42, T-tau, and P-tau181, have an added value in the (differential) diagnosis of AD and related disorders, including mixed pathologies, atypical presentations, and in case of ambiguous clinical dementia diagnosis. CSF biomarkers should not be routinely used in the diagnostic work-up of dementia and cannot be used to diagnose non-AD dementias. In cognitively healthy subjects, CSF biomarkers can only be applied for research purposes, e.g., to identify pre-clinical AD in the context of clinical trials with potentially disease-modifying drugs. Therefore, biomarker-based early diagnosis of AD offers great opportunities for preventive treatment development in the near future.
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Affiliation(s)
- Ellis Niemantsverdriet
- Reference Center for Biological Markers of Dementia (BIODEM), Laboratory of Neurochemistry and Behavior, Institute Born-Bunge, University of Antwerp (UAntwerp), Antwerp, Belgium
| | - Sara Valckx
- Reference Center for Biological Markers of Dementia (BIODEM), Laboratory of Neurochemistry and Behavior, Institute Born-Bunge, University of Antwerp (UAntwerp), Antwerp, Belgium
| | - Maria Bjerke
- Reference Center for Biological Markers of Dementia (BIODEM), Laboratory of Neurochemistry and Behavior, Institute Born-Bunge, University of Antwerp (UAntwerp), Antwerp, Belgium
| | - Sebastiaan Engelborghs
- Reference Center for Biological Markers of Dementia (BIODEM), Laboratory of Neurochemistry and Behavior, Institute Born-Bunge, University of Antwerp (UAntwerp), Antwerp, Belgium.
- Department of Neurology and Memory Clinic, Hospital Network Antwerp (ZNA) Middelheim and Hoge Beuken, Antwerp, Belgium.
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18
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Goossens J, Bjerke M, Struyfs H, Niemantsverdriet E, Somers C, Van den Bossche T, Van Mossevelde S, De Vil B, Sieben A, Martin JJ, Cras P, Goeman J, De Deyn PP, Van Broeckhoven C, van der Zee J, Engelborghs S. No added diagnostic value of non-phosphorylated tau fraction (p-tau rel) in CSF as a biomarker for differential dementia diagnosis. ALZHEIMERS RESEARCH & THERAPY 2017; 9:49. [PMID: 28709448 PMCID: PMC5513364 DOI: 10.1186/s13195-017-0275-5] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/08/2016] [Accepted: 06/05/2017] [Indexed: 11/26/2022]
Abstract
Background The Alzheimer’s disease (AD) cerebrospinal fluid (CSF) biomarkers Aβ1–42, t-tau, and p-tau181 overlap with other diseases. New tau modifications or epitopes, such as the non-phosphorylated tau fraction (p-taurel), may improve differential dementia diagnosis. The goal of this study is to investigate if p-taurel can improve the diagnostic performance of the AD CSF biomarker panel for differential dementia diagnosis. Methods The study population consisted of 45 AD, 45 frontotemporal lobar degeneration (FTLD), 45 dementia with Lewy bodies (DLB), and 21 Creutzfeldt-Jakob disease (CJD) patients, and 20 cognitively healthy controls. A substantial subset of the patients was pathology-confirmed. CSF levels of Aβ1–42, t-tau, p-tau181, and p-taurel were determined with commercially available single-analyte enzyme-linked immunosorbent assay (ELISA) kits. Diagnostic performance was evaluated by receiver operating characteristic (ROC) curve analyses, and area under the curve (AUC) values were compared using DeLong tests. Results The diagnostic performance of single markers as well as biomarker ratios was determined for each pairwise comparison of different dementia groups and controls. The addition of p-taurel to the AD biomarker panel decreased its diagnostic performance when discriminating non-AD, FTLD, and DLB from AD. As a single marker, p-taurel increased the diagnostic performance for CJD. No significant difference was found in AUC values with the addition of p-taurel when differentiating between AD or non-AD dementias and controls. Conclusions The addition of p-taurel to the AD CSF biomarker panel failed to improve differentiation between AD and non-AD dementias. Electronic supplementary material The online version of this article (doi:10.1186/s13195-017-0275-5) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Joery Goossens
- Reference Center for Biological Markers of Dementia, Laboratory of Neurochemistry and Behavior, 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, Institute Born-Bunge, University of Antwerp, Universiteitsplein 1, 2610, Wilrijk, Belgium
| | - Hanne Struyfs
- Reference Center for Biological Markers of Dementia, Laboratory of Neurochemistry and Behavior, Institute Born-Bunge, University of Antwerp, Universiteitsplein 1, 2610, Wilrijk, Belgium
| | - Ellis Niemantsverdriet
- Reference Center for Biological Markers of Dementia, Laboratory of Neurochemistry and Behavior, Institute Born-Bunge, University of Antwerp, Universiteitsplein 1, 2610, Wilrijk, Belgium
| | - Charisse Somers
- Reference Center for Biological Markers of Dementia, Laboratory of Neurochemistry and Behavior, Institute Born-Bunge, University of Antwerp, Universiteitsplein 1, 2610, Wilrijk, Belgium
| | - Tobi Van den Bossche
- Neurodegenerative Brain Diseases Group, Department of Molecular Genetics, VIB, Universiteitsplein 1, 2610, Wilrijk, Belgium.,Laboratory of Neurogenetics, 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.,Department of Neurology, Antwerp University Hospital, Wilrijkstraat 10, 2650, Edegem, Belgium
| | - Sara Van Mossevelde
- Neurodegenerative Brain Diseases Group, Department of Molecular Genetics, VIB, Universiteitsplein 1, 2610, Wilrijk, Belgium.,Laboratory of Neurogenetics, 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.,Department of Neurology, Antwerp University Hospital, Wilrijkstraat 10, 2650, Edegem, Belgium
| | - Bart De Vil
- Laboratory of Neurology, Translational Neurosciences, University of Antwerp, Universiteitsplein 1, 2610, Wilrijk, Belgium.,Laboratory of Neurobiology, Institute Born-Bunge, University of Antwerp, Universiteitsplein 1, 2610, Wilrijk, Belgium
| | - Anne Sieben
- Neurodegenerative Brain Diseases Group, Department of Molecular Genetics, VIB, Universiteitsplein 1, 2610, Wilrijk, Belgium.,Biobank, Institute Born-Bunge, University of Antwerp, Universiteitsplein 1, 2610, Wilrijk, Belgium
| | - Jean-Jacques Martin
- Biobank, Institute Born-Bunge, University of Antwerp, Universiteitsplein 1, 2610, Wilrijk, Belgium
| | - Patrick Cras
- Department of Neurology, Antwerp University Hospital, Wilrijkstraat 10, 2650, Edegem, Belgium.,Laboratory of Neurology, Translational Neurosciences, University of Antwerp, Universiteitsplein 1, 2610, Wilrijk, Belgium.,Laboratory of Neurobiology, Institute Born-Bunge, University of Antwerp, Universiteitsplein 1, 2610, Wilrijk, Belgium
| | - Johan Goeman
- Department of Neurology and Memory Clinic, Hospital Network Antwerp (ZNA) Middelheim and Hoge Beuken, 2660, Antwerpen, Belgium
| | - Peter Paul De Deyn
- Reference Center for Biological Markers of Dementia, Laboratory of Neurochemistry and Behavior, 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.,Biobank, Institute Born-Bunge, University of Antwerp, Universiteitsplein 1, 2610, Wilrijk, Belgium
| | - Christine Van Broeckhoven
- Neurodegenerative Brain Diseases Group, Department of Molecular Genetics, VIB, Universiteitsplein 1, 2610, Wilrijk, Belgium.,Laboratory of Neurogenetics, Institute Born-Bunge, University of Antwerp, Universiteitsplein 1, 2610, Wilrijk, Belgium
| | - Julie van der Zee
- Neurodegenerative Brain Diseases Group, Department of Molecular Genetics, VIB, Universiteitsplein 1, 2610, Wilrijk, Belgium.,Laboratory of Neurogenetics, Institute Born-Bunge, University of Antwerp, Universiteitsplein 1, 2610, Wilrijk, Belgium
| | - Sebastiaan Engelborghs
- Reference Center for Biological Markers of Dementia, Laboratory of Neurochemistry and Behavior, 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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19
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Teichmann M, Epelbaum S, Samri D, Levy Nogueira M, Michon A, Hampel H, Lamari F, Dubois B. Free and Cued Selective Reminding Test - accuracy for the differential diagnosis of Alzheimer's and neurodegenerative diseases: A large-scale biomarker-characterized monocenter cohort study (ClinAD). Alzheimers Dement 2017; 13:913-923. [PMID: 28222300 DOI: 10.1016/j.jalz.2016.12.014] [Citation(s) in RCA: 56] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2016] [Revised: 11/09/2016] [Accepted: 12/28/2016] [Indexed: 10/20/2022]
Abstract
INTRODUCTION The International Working Group recommended the Free and Cued Selective Reminding Test (FCSRT) as a sensitive detector of the amnesic syndrome of the hippocampal type in typical Alzheimer's disease (AD). But does it differentiate AD from other neurodegenerative diseases? METHODS We assessed the FCSRT and cerebrospinal fluid (CSF) AD biomarkers in 992 cases. Experts, blinded to biomarker data, attributed in 650 cases a diagnosis of typical AD, frontotemporal dementia, posterior cortical atrophy, Lewy body disease, progressive supranuclear palsy, corticobasal syndrome, primary progressive aphasias, "subjective cognitive decline," or depression. RESULTS The FCSRT distinguished typical AD from all other conditions with a sensitivity of 100% and a specificity of 75%. Non-AD neurodegenerative diseases with positive AD CSF biomarkers ("atypical AD") did not have lower FCSRT scores than those with negative biomarkers. DISCUSSION The FCSRT is a reliable tool for diagnosing typical AD among various neurodegenerative diseases. At an individual level, however, its specificity is not absolute. Our findings also widen the spectrum of atypical AD to multiple neurodegenerative conditions.
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Affiliation(s)
- Marc Teichmann
- Department of Neurology, Institut de la mémoire et de la maladie d'Alzheimer, Centre de Référence 'Démences Rares', Hôpital de la Pitié-Salpêtrière, AP-HP, Paris, France; Institut du Cerveau et de la Moelle Epinière (ICM), ICM-INSERM 1127, FrontLab, Paris, France.
| | - Stéphane Epelbaum
- Department of Neurology, Institut de la mémoire et de la maladie d'Alzheimer, Centre de Référence 'Démences Rares', Hôpital de la Pitié-Salpêtrière, AP-HP, Paris, France; Institut du Cerveau et de la Moelle Epinière (ICM), ICM-INSERM 1127, Team Alzheimer's and Prions Diseases, Paris, France
| | - Dalila Samri
- Department of Neurology, Institut de la mémoire et de la maladie d'Alzheimer, Centre de Référence 'Démences Rares', Hôpital de la Pitié-Salpêtrière, AP-HP, Paris, France
| | - Marcel Levy Nogueira
- Department of Neurology, Institut de la mémoire et de la maladie d'Alzheimer, Centre de Référence 'Démences Rares', Hôpital de la Pitié-Salpêtrière, AP-HP, Paris, France; Ecole Polytechnique, LIX, Paris-Saclay University, Palaiseau, France
| | - Agnès Michon
- Department of Neurology, Institut de la mémoire et de la maladie d'Alzheimer, Centre de Référence 'Démences Rares', Hôpital de la Pitié-Salpêtrière, AP-HP, Paris, France
| | - Harald Hampel
- Department of Neurology, Institut de la mémoire et de la maladie d'Alzheimer, Centre de Référence 'Démences Rares', Hôpital de la Pitié-Salpêtrière, AP-HP, Paris, France; AXA Research Fund and UPMC, Sorbonne Universities, Pierre and Marie Curie University, Paris 06, INSERM, CNRS, Brain and Spine Institute (ICM), Paris, France
| | - Foudil Lamari
- Department of Metabolic Biochemistry, Hôpital de la Pitié-Salpêtrière, AP-HP, Paris, France
| | - Bruno Dubois
- Department of Neurology, Institut de la mémoire et de la maladie d'Alzheimer, Centre de Référence 'Démences Rares', Hôpital de la Pitié-Salpêtrière, AP-HP, Paris, France; Institut du Cerveau et de la Moelle Epinière (ICM), ICM-INSERM 1127, FrontLab, Paris, France
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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: 1.4] [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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21
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Somers C, Struyfs H, Goossens J, Niemantsverdriet E, Luyckx J, De Roeck N, De Roeck E, De Vil B, Cras P, Martin JJ, De Deyn PP, Bjerke M, Engelborghs S. A Decade of Cerebrospinal Fluid Biomarkers for Alzheimer’s Disease in Belgium. J Alzheimers Dis 2016; 54:383-95. [DOI: 10.3233/jad-151097] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Affiliation(s)
- Charisse Somers
- Reference Center for Biological Markers of Dementia (BIODEM), Laboratory of Neurochemistry and Behavior, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Hanne Struyfs
- Reference Center for Biological Markers of Dementia (BIODEM), Laboratory of Neurochemistry and Behavior, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Joery Goossens
- Reference Center for Biological Markers of Dementia (BIODEM), Laboratory of Neurochemistry and Behavior, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Ellis Niemantsverdriet
- Reference Center for Biological Markers of Dementia (BIODEM), Laboratory of Neurochemistry and Behavior, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Jill Luyckx
- Reference Center for Biological Markers of Dementia (BIODEM), Laboratory of Neurochemistry and Behavior, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Naomi De Roeck
- Reference Center for Biological Markers of Dementia (BIODEM), Laboratory of Neurochemistry and Behavior, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Ellen De Roeck
- Reference Center for Biological Markers of Dementia (BIODEM), Laboratory of Neurochemistry and Behavior, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Bart De Vil
- Laboratory of Neurobiology, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Patrick Cras
- Laboratory of Neurobiology, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
- Department of Neurology, Antwerp University Hospital, Antwerp, Belgium
| | | | - Peter-Paul De Deyn
- Reference Center for Biological Markers of Dementia (BIODEM), Laboratory of Neurochemistry and Behavior, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
- Department of Neurology and Memory Clinic, Hospital Network Antwerp (ZNA) Middelheim and Hoge Beuken, Antwerp, Belgium
- Biobank, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Maria Bjerke
- Reference Center for Biological Markers of Dementia (BIODEM), Laboratory of Neurochemistry and Behavior, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Sebastiaan Engelborghs
- Reference Center for Biological Markers of Dementia (BIODEM), Laboratory of Neurochemistry and Behavior, 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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22
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Schönecker S, Brendel M, Huber M, Vollmar C, Huppertz HJ, Teipel S, Okamura N, Levin J, Rominger A, Danek A. Applied multimodal diagnostics in a case of presenile dementia. BMC Neurol 2016; 16:131. [PMID: 27506761 PMCID: PMC4977691 DOI: 10.1186/s12883-016-0647-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2016] [Accepted: 07/26/2016] [Indexed: 12/14/2022] Open
Abstract
Background Alzheimer’s disease (AD) is the most common cause of dementia in the elderly. The possibility of disease-modifying strategies has evoked a need for early and accurate diagnosis. To improve the accuracy of the clinical diagnosis of AD, biomarkers like cerebrospinal fluid (CSF) and neuroimaging techniques like magnetic resonance imaging (MRI) and positron emission tomography (PET) have been incorporated into the diagnostic guidelines of AD. Case presentation In this case report we outline in reference to one of our patients with presenile dementia the current approaches to the diagnosis of AD. The patient was a 59-year old woman presenting with progressive memory decline. CSF-Aβ42 was normal while P-tau was slightly increased. FDG-PET indicated a pattern typical for AD, amyloid-PET showed an extensive global amyloid load, and tau-PET depicted a pronounced hippocampal tracer accumulation. The MRI scan was rated as normal at routine diagnostics, however quantitative volumetric analysis revealed significant atrophy especially of the parietal lobe. The combination of biomarkers and neuroimaging techniques was therefore suggestive of an underlying AD pathology. Conclusions To enable early and accurate diagnosis of AD and thereby also patient recruitment for anti-tau or anti-β-amyloid therapeutic trials, a combination of biomarkers and neuroimaging techniques seems useful.
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Affiliation(s)
- Sonja Schönecker
- Department of Neurology, Ludwig-Maximilians University, Munich, Germany.
| | - Matthias Brendel
- Department of Nuclear Medicine, Ludwig-Maximilians University, Munich, Germany
| | - Marion Huber
- Department of Neurology, Ludwig-Maximilians University, Munich, Germany
| | - Christian Vollmar
- Department of Neurology, Ludwig-Maximilians University, Munich, Germany
| | | | - Stefan Teipel
- Department of Psychosomatic Medicine, University of Rostock, Rostock, Germany.,German Center for Neurodegenerative Diseases, Rostock, Germany
| | - Nobuyuki Okamura
- Department of Pharmacology, Tohoku University School of Medicine, Sendai, Japan
| | - Johannes Levin
- Department of Neurology, Ludwig-Maximilians University, Munich, Germany.,German Center for Neurodegenerative Diseases, Munich, Germany
| | - Axel Rominger
- Department of Nuclear Medicine, Ludwig-Maximilians University, Munich, Germany
| | - Adrian Danek
- Department of Neurology, Ludwig-Maximilians University, Munich, Germany
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23
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Abdelnour C, van Steenoven I, Londos E, Blanc F, Auestad B, Kramberger MG, Zetterberg H, Mollenhauer B, Boada M, Aarsland D. Alzheimer's disease cerebrospinal fluid biomarkers predict cognitive decline in lewy body dementia. Mov Disord 2016; 31:1203-8. [DOI: 10.1002/mds.26668] [Citation(s) in RCA: 59] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2015] [Revised: 03/11/2016] [Accepted: 04/13/2016] [Indexed: 01/13/2023] Open
Affiliation(s)
- Carla Abdelnour
- Fundació ACE, Alzheimer Research Center and Memory ClinicInstitut Català de Neurociències AplicadesBarcelona Spain
| | - Inger van Steenoven
- Alzheimer Center, Department of NeurologyVU Medical CenterAmsterdam The Netherlands
| | - Elisabet Londos
- Clinical Memory Research Unit, Department of Clinical SciencesLund UniversityMalmö Sweden
| | - Frédéric Blanc
- Neuropsychology Unit and Geriatric Day Hospital (Strasbourg Resource and Research Memory Center, CMRR), University Hospital of Strasbourg and ICube laboratory, FMTSUniversity of Strasbourg and CNRSStrasbourg France
| | - Bjørn Auestad
- Research DepartmentStavanger University HospitalStavanger Norway
- Department of Mathematics and Natural SciencesUniversity of StavangerStavanger Norway
| | | | - Henrik Zetterberg
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistrythe Sahlgrenska Academy at the University of GothenburgMölndal Sweden
- Department of Molecular NeuroscienceUCL Institute of NeurologyLondon United Kingdom
| | - Brit Mollenhauer
- Paracelsus‐Elena‐Klinik, Kassel and University Medical Center, Department of Neurosurgery and Institute of NeuropathologyGöttingen Germany
| | - Mercè Boada
- Fundació ACE, Alzheimer Research Center and Memory ClinicInstitut Català de Neurociències AplicadesBarcelona Spain
| | - Dag Aarsland
- Research DepartmentStavanger University HospitalStavanger Norway
- Karolinska Institutet, Department of Neurobiology, Care sciences and Society (NVS)Center for Alzheimer Research Division for NeurogeriatricsStockholm Sweden
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24
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Mollenhauer B, Parnetti L, Rektorova I, Kramberger MG, Pikkarainen M, Schulz-Schaeffer WJ, Aarsland D, Svenningsson P, Farotti L, Verbeek MM, Schlossmacher MG. Biological confounders for the values of cerebrospinal fluid proteins in Parkinson's disease and related disorders. J Neurochem 2016; 139 Suppl 1:290-317. [DOI: 10.1111/jnc.13390] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2015] [Revised: 09/11/2015] [Accepted: 09/21/2015] [Indexed: 12/26/2022]
Affiliation(s)
- Brit Mollenhauer
- Paracelsus-Elena-Klinik; Kassel Germany
- University Medical Center (Department of Neuropathology); Georg-August University Goettingen; Goettingen Germany
| | - Lucilla Parnetti
- Centro Disturbi della Memoria- Unità Valutativa Alzheimer; Clinica Neurologica; Università di Perugia; Perugia Italy
| | - Irena Rektorova
- Applied Neuroscience Group; CEITEC MU; Masaryk University; Brno Czech Republic
| | - Milica G. Kramberger
- Department of Neurology; University Medical Center Ljubljana; Ljubljana Slovenia
- Division for Neurogeriatrics; Department of NVS; Karolinska Institutet; Center for Alzheimer Research; Stockholm Sweden
- Centre for Age-Related Medicine; Stavanger University Hospital; Stavanger Norway
| | - Maria Pikkarainen
- Institute of Clinical Medicine / Neurology; University of Eastern Finland; Kuopio Finland
| | - Walter J. Schulz-Schaeffer
- University Medical Center (Department of Neuropathology); Georg-August University Goettingen; Goettingen Germany
| | - Dag Aarsland
- Division for Neurogeriatrics; Department of NVS; Karolinska Institutet; Center for Alzheimer Research; Stockholm Sweden
- Centre for Age-Related Medicine; Stavanger University Hospital; Stavanger Norway
| | - Per Svenningsson
- Department for Clinical Neuroscience; Karolinska Institute; Stockholm Sweden
| | - Lucia Farotti
- Centro Disturbi della Memoria- Unità Valutativa Alzheimer; Clinica Neurologica; Università di Perugia; Perugia Italy
| | - Marcel M. Verbeek
- Department of Neurology; Department of Laboratory Medicine; Donders Institute for Brain, Cognition and Behaviour; Radboud University Medical Centre; Nijmegen The Netherlands
| | - Michael G. Schlossmacher
- Program in Neuroscience and Division of Neurology; The Ottawa Hospital; University of Ottawa Brain & Mind Research Institute; Ottawa Ontario Canada
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25
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Rethinking on the concept of biomarkers in preclinical Alzheimer's disease. Neurol Sci 2016; 37:663-72. [PMID: 26792010 DOI: 10.1007/s10072-016-2477-1] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2015] [Accepted: 01/09/2016] [Indexed: 01/01/2023]
Abstract
The neuropathological processes eventually leading to Alzheimer's disease (AD) are thought to start decades before the appearance of clinical symptoms and the clinical diagnosis of AD dementia. The term "preclinical AD" has been recently introduced to identify this "silent stage" of AD, when the disease is already present, but symptoms are not yet clinically evident. Advances in AD biomarkers have dramatically improved the ability to detect AD pathological processes in vivo in cognitively intact subjects, thus demonstrating the presence of AD pathology in the preclinical phase. This review focuses on the recent advances in the field of neuroimaging and CSF AD biomarkers specifically in the preclinical phase of AD, and aims to discuss the significance that such biomarkers could have in cognitively intact subjects. Even though the use of such biomarkers in AD preclinical phase has contributed to improve our understanding of AD early pathological processes, it raised also a number of new challenges that still remain to be overcome, such as a better definition of the clinical and individual significance of currently known biomarkers in preclinical stages and the development of novel biomarkers of different early AD-related events.
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26
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Simonsen AH, Kuiperij B, El-Agnaf OMA, Engelborghs S, Herukka SK, Parnetti L, Rektorova I, Vanmechelen E, Kapaki E, Verbeek M, Mollenhauer B. The utility of α-synuclein as biofluid marker in neurodegenerative diseases: a systematic review of the literature. Biomark Med 2016; 10:19-34. [DOI: 10.2217/bmm.14.105] [Citation(s) in RCA: 71] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
The discovery of α-synuclein (α-syn) as a major component of Lewy bodies, neuropathological hallmark of Parkinson's disease (PD), dementia with Lewy bodies and of glial inclusions in multiple system atrophy initiated the investigation of α-syn as a biomarker in cerebrospinal fluid (CSF). Due to the involvement of the periphery in PD the quantification of α-syn in peripheral fluids such as serum, plasma and saliva has been investigated as well. We review how the development of multiple assays for the quantification of α-syn has yielded novel insights into the variety of α-syn species present in the different fluids; the optimal preanalytical conditions required for robust quantification and the potential clinical value of α-syn as biomarker. We also suggest future approaches to use of CSF α-syn in neurodegenerative diseases.
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Affiliation(s)
- Anja Hviid Simonsen
- Memory Disorders Research Group, Department of Neurology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Bea Kuiperij
- Department of Neurology, Department of Laboratory Medicine, Donders Institute for Brain, Cognition & Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Omar Mukhtar Ali El-Agnaf
- College of Science and Engineering, Hamid Bin Khalifa University, Qatar Foundation, Education City, PO Box 5825 Doha, Qatar
| | - Sebastian Engelborghs
- Reference Center for Biological Markers of Dementia (BIODEM), Institute Born-Bunge, University of Antwerp & Department of Neurology & Memory Clinic, Hospital Network Antwerp (ZNA) Middelheim and Hoge Beuken, Antwerp, Belgium
| | - Sanna-Kaisa Herukka
- Institute of Clinical Medicine – Neurology University of Eastern Finland School of Medicine, Kuopio, Finland
| | - Lucilla Parnetti
- Centro Disturbi della Memoria- Unità Valutativa Alzheimer, Clinica Neurologica, Università di Perugia, Italy
| | - Irena Rektorova
- Applied Neuroscience Research Group, CEITEC MU, Masaryk University, Brno, Czech Republic
| | - Eugeen Vanmechelen
- ADx NeuroSciences, VIB-Bioincubator, Technologiepark Zwijnaarde 4, 9052 Ghent, Belgium
| | - Elisabeth Kapaki
- National & Kapodistrian University of Athens, School of Medicine, 1st Department of Neurology, Eginition Hospital, Athens, Greece
| | - Marcel Verbeek
- Department of Neurology, Department of Laboratory Medicine, Donders Institute for Brain, Cognition & Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Brit Mollenhauer
- Paracelsus-Elena-Klinik, Kassel & University Medical Center (Departments of Neuropathology & Neurosurgery), Georg-August University Goettingen, Germany
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Performance of Cerebrospinal Fluid Biomarkers of Alzheimer Disease in a Memory Clinic in Norway. Alzheimer Dis Assoc Disord 2015; 30:8-14. [PMID: 26629677 DOI: 10.1097/wad.0000000000000126] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
BACKGROUND Although Alzheimer disease (AD) remains a clinical diagnosis, biomarkers are in use to support the diagnosis. Three cerebrospinal biomarkers, amyloid-β (Aβ), total tau (T-tau), and phospho tau (P-tau), reflect neuropathologic changes observed in AD patients. OBJECTIVE The aim of this study was to explore the performance of the cerebrospinal fluid biomarkers used in a memory clinic setting. METHODS We included 205 patients who had been through a standardized examination including lumbar puncture. Diagnoses were made blind to the results of the spinal fluid analyses. RESULTS By combining low Aβ and high T-tau or P-tau values, the sensitivity was 31.9% and the specificity was 92.5% when comparing patients with AD with other patients. In receiver operating characteristic analyses, the AUC for the Aβ was 0.78 (SE=0.04; 95% CI, 0.7-0.85), for T-tau 0.80 (SE=0.03; 95% CI, 0.73-0.86), and for P-tau 0.76 (SE=0.04; 95% CI, 0.69-0.83). A significant difference was found between the sexes, with higher values of Aβ among younger men (under 65 y of age) with AD [799.8 (SD=317.2) vs. 558.9 (SD=123.5) for women, P-value=0.003]. CONCLUSIONS The present study found a lower performance of the biomarkers than reported previously.
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Mishima A, Nihashi T, Ando Y, Kawai H, Kato T, Ito K, Terasawa T. Biomarkers Differentiating Dementia with Lewy Bodies from Other Dementias: A Meta-Analysis. J Alzheimers Dis 2015; 50:161-74. [DOI: 10.3233/jad-150675] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Affiliation(s)
- Aki Mishima
- Section of General Internal Medicine, Department of Emergency and General Internal Medicine, Fujita Health University School of Medicine, Toyoake, Aichi, Japan
| | - Takashi Nihashi
- Department of Radiology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Yoshio Ando
- Department of Radiology, Toyota Memorial Hospital, Toyota, Aichi, Japan
| | - Hisashi Kawai
- Department of Radiology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Takashi Kato
- Department of Radiology, Clinical and Experimental Neuroimaging, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan
| | - Kengo Ito
- Department of Radiology, Clinical and Experimental Neuroimaging, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan
| | - Teruhiko Terasawa
- Section of General Internal Medicine, Department of Emergency and General Internal Medicine, Fujita Health University School of Medicine, Toyoake, Aichi, Japan
- Center for Clinical Evidence Synthesis, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Tufts University School of Medicine, Boston, MA, USA
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Slaets S, Van Acker F, Versijpt J, Hauth L, Goeman J, Martin JJ, De Deyn PP, Engelborghs S. Diagnostic value of MIBG cardiac scintigraphy for differential dementia diagnosis. Int J Geriatr Psychiatry 2015; 30:864-9. [PMID: 25363642 PMCID: PMC4657469 DOI: 10.1002/gps.4229] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2014] [Revised: 09/16/2014] [Accepted: 09/25/2014] [Indexed: 11/09/2022]
Abstract
OBJECTIVE Iodine-123 metaiodobenzylguanidine (MIBG) cardiac scintigraphy has shown the potential to discriminate dementia with Lewy bodies (DLB) from Alzheimer's disease (AD). However, these studies did not reflect clinical practice, as patients with ischemic heart disease, heart failure, diabetes mellitus, arterial hypertension, and hyperlipidemia and patients treated with antidepressants like trazodone were excluded. METHODS This study aimed to evaluate the use of MIBG cardiac scintigraphy to diagnose DLB in clinical practice. Moreover, the potential diagnostic value of MIBG cardiac scintigraphy in patients with clinically ambiguous dementia diagnosis (DLB versus AD) was tested. Eighty-five patients with a possible clinical diagnosis of DLB entered the study. MIBG uptake was determined by calculating the heart-to-mediastinum-uptake ratio (H/M). RESULTS The average H/M ratio was 1.42 ± 0.35. The number of core features for DLB and the H/M ratio were negatively correlated (p = 0.001; r = -0.360). With an H/M ratio cutoff of 1.68 in 20 patients with clinically ambiguous dementia diagnoses (DLB versus AD) at the moment of MIBG cardiac scintigraphy, 95% (19/20) of the patients were correctly classified as compared with clinical or definite diagnosis at follow-up, with sensitivity and specificity values for diagnosing DLB of 100% (16/16) and 75% (3/4), respectively. The H/M ratio was influenced only by age (p = 0.046; r = -0.217) and gender (p = 0.024) and not by any other variable studied. CONCLUSIONS The MIBG cardiac scintigraphy H/M ratio is a possible diagnostic biomarker for DLB in routine clinical practice and might have an added diagnostic value in case of doubt between DLB and AD.
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Affiliation(s)
- Sylvie Slaets
- Reference Center for Biological Markers of Dementia (BIODEM), and Biobank, Institute Born-Bunge, University of AntwerpAntwerp, Belgium
| | - Frank Van Acker
- Department of Nuclear Medicine, Hospital Network Antwerp (ZNA) MiddelheimAntwerp, Belgium
| | - Jan Versijpt
- Department of Neurology, University Hospital BrusselsBrussels, Belgium
| | - Lothar Hauth
- Department of Neurology and Memory Clinic, Hospital Network Antwerp (ZNA) Middelheim and Hoge BeukenAntwerp, Belgium
| | - Johan Goeman
- Department of Neurology and Memory Clinic, Hospital Network Antwerp (ZNA) Middelheim and Hoge BeukenAntwerp, Belgium
| | - Jean-Jacques Martin
- Reference Center for Biological Markers of Dementia (BIODEM), and Biobank, Institute Born-Bunge, University of AntwerpAntwerp, Belgium
| | - Peter Paul De Deyn
- Reference Center for Biological Markers of Dementia (BIODEM), and Biobank, Institute Born-Bunge, University of AntwerpAntwerp, Belgium,Department of Neurology and Memory Clinic, Hospital Network Antwerp (ZNA) Middelheim and Hoge BeukenAntwerp, Belgium,Department of Neurology and Alzheimer Research Center, University of Groningen and University Medical Center Groningen (UMCG)Groningen, The Netherlands
| | - Sebastiaan Engelborghs
- Reference Center for Biological Markers of Dementia (BIODEM), and Biobank, Institute Born-Bunge, University of AntwerpAntwerp, Belgium,Department of Neurology and Memory Clinic, Hospital Network Antwerp (ZNA) Middelheim and Hoge BeukenAntwerp, Belgium,
Correspondence to: Sebastiaan Engelborghs, Universiteitsplein 1, BE-2610 Antwerp, Belgium. E-mail:
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Contrasts Between Patients With Lewy Body Dementia Syndromes and APOE-ε3/ε3 Patients With Late-onset Alzheimer Disease Dementia. Neurologist 2015; 20:35-41. [DOI: 10.1097/nrl.0000000000000045] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
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Cicognola C, Chiasserini D, Parnetti L. Preanalytical Confounding Factors in the Analysis of Cerebrospinal Fluid Biomarkers for Alzheimer's Disease: The Issue of Diurnal Variation. Front Neurol 2015; 6:143. [PMID: 26175714 PMCID: PMC4483516 DOI: 10.3389/fneur.2015.00143] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2015] [Accepted: 06/12/2015] [Indexed: 12/04/2022] Open
Abstract
Given the growing use of cerebrospinal fluid (CSF) beta-amyloid (Aβ) and tau as biomarkers for early diagnosis of Alzheimer’s disease (AD), it is essential that the diagnostic procedures are standardized and the results comparable across different laboratories. Preanalytical factors are reported to be the cause of at least 50% of the total variability. Among them, diurnal variability is a key issue and may have an impact on the comparability of the values obtained. The available studies on this issue are not conclusive so far. Fluctuations of CSF biomarkers in young healthy volunteers have been previously reported, while subsequent studies have not confirmed those observations in older subjects, the ones most likely to receive this test. The observed differences in circadian rhythms need to be further assessed not only in classical CSF biomarkers but also in novel forthcoming biomarkers. In this review, the existing data on the issue of diurnal variations of CSF classical biomarkers for AD will be analyzed, also evaluating the available data on new possible biomarkers.
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Affiliation(s)
- Claudia Cicognola
- Section of Neurology, Department of Medicine, Centre for Memory Disturbances, University of Perugia , Perugia , Italy
| | - Davide Chiasserini
- Section of Neurology, Department of Medicine, Centre for Memory Disturbances, University of Perugia , Perugia , Italy
| | - Lucilla Parnetti
- Section of Neurology, Department of Medicine, Centre for Memory Disturbances, University of Perugia , Perugia , Italy
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Florkowski CM. Preanalytical variables and Alzheimer disease biomarker concentrations in cerebrospinal fluid. Clin Chem 2015; 61:686-8. [PMID: 25869576 DOI: 10.1373/clinchem.2015.240069] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2015] [Accepted: 03/05/2015] [Indexed: 11/06/2022]
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Schade S, Mollenhauer B. Biomarkers in biological fluids for dementia with Lewy bodies. ALZHEIMERS RESEARCH & THERAPY 2014; 6:72. [PMID: 25478030 PMCID: PMC4255553 DOI: 10.1186/s13195-014-0072-3] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Dementia with Lewy bodies (DLB) has become the second most common neurodegenerative dementia due to demographic ageing. Differential diagnosis is still troublesome especially in early stages of the disease, since there is a great clinical and neuropathological overlap primarily with Alzheimer's disease and Parkinson's disease. Therefore, more specific biomarkers, not only for scientific reasons but also for clinical therapeutic decision-making, are urgently needed. In this review, we summarize the knowledge on fluid biomarkers for DLB, derived predominantly from cerebrospinal fluid. We discuss the value of well-defined markers (β-amyloid, (phosphorylated) tau, α-synuclein) as well as some promising 'upcoming' substances, which still have to be further evaluated.
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Affiliation(s)
- Sebastian Schade
- Paracelsus-Elena-Klinik, Klinikstraße 16, Kassel, D-34128, Germany ; Department of Clinical Neurophysiology, University Medical Center, Georg-August University, Robert-Koch Straße 40, Göttingen, 37075, Germany
| | - Brit Mollenhauer
- Paracelsus-Elena-Klinik, Klinikstraße 16, Kassel, D-34128, Germany ; Department of Neurosurgery, University Medical Center, Georg-August University, Robert-Koch Straße 40, Göttingen, 37075, Germany ; Department of Neuropathology, University Medical Center, Georg-August University, Robert-Koch Straße 40, Göttingen, 37075, Germany
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Molinuevo JL, Blennow K, Dubois B, Engelborghs S, Lewczuk P, Perret-Liaudet A, Teunissen CE, Parnetti L. The clinical use of cerebrospinal fluid biomarker testing for Alzheimer's disease diagnosis: A consensus paper from the Alzheimer's Biomarkers Standardization Initiative. Alzheimers Dement 2014; 10:808-17. [DOI: 10.1016/j.jalz.2014.03.003] [Citation(s) in RCA: 140] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2013] [Revised: 02/28/2014] [Accepted: 03/18/2014] [Indexed: 11/16/2022]
Affiliation(s)
- José Luis Molinuevo
- Alzheimer's Disease and Other Cognitive Disorders Unit; Hospital Clinic i Universitari, IDIBAPS and Barcelona Beta Research Centre; Pasqual Maragall Foundation Barcelona Spain
| | - Kaj Blennow
- Clinical Neurochemistry Laboratory, Department of Psychiatry and Neurochemistry; Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg; Mölndal Sweden
| | - Bruno Dubois
- Centre des Maladies Cognitives et Comportementales, Hôpital de la Salpêtrière, AP-HP; Institute of Brain and Spinal Cord (ICM), UMR-S975; Université Pierre et Marie Curie-Paris 6 Paris France
| | - Sebastiaan Engelborghs
- Department of Neurology and Memory Clinic; Hospital Network Antwerp (ZNA); Middelheim and Hoge Beuken Antwerp Belgium
- Reference Centre for Biological Markers of Dementia (BIODEM); Institute Born-Bunge, University of Antwerp; Antwerp Belgium
| | - Piotr Lewczuk
- Department of Psychiatry and Psychotherapy; Universitätsklinikum Erlangen and Friedrich-Alexander Universität Erlangen-Nürnberg; Erlangen Germany
| | - Armand Perret-Liaudet
- Centre for Memory Resources and Research (CMRR); Neurobiology Laboratory, GHE, Hôpitaux de Lyon; Université Lyon 1, CNRS UMR5292, INSERM U1028 Lyon France
| | - Charlotte E. Teunissen
- Neurochemistry Laboratory and Biobank; Department of Clinical Chemistry, VU University Medical Center; Amsterdam The Netherlands
| | - Lucilla Parnetti
- Centre for Memory Disturbances and Alzheimer's Centre, Section of Neurology; University of Perugia; Perugia Italy
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Dubois B, Feldman HH, Jacova C, Hampel H, Molinuevo JL, Blennow K, DeKosky ST, Gauthier S, Selkoe D, Bateman R, Cappa S, Crutch S, Engelborghs S, Frisoni GB, Fox NC, Galasko D, Habert MO, Jicha GA, Nordberg A, Pasquier F, Rabinovici G, Robert P, Rowe C, Salloway S, Sarazin M, Epelbaum S, de Souza LC, Vellas B, Visser PJ, Schneider L, Stern Y, Scheltens P, Cummings JL. Advancing research diagnostic criteria for Alzheimer's disease: the IWG-2 criteria. Lancet Neurol 2014; 13:614-29. [PMID: 24849862 DOI: 10.1016/s1474-4422(14)70090-0] [Citation(s) in RCA: 2227] [Impact Index Per Article: 222.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
In the past 8 years, both the International Working Group (IWG) and the US National Institute on Aging-Alzheimer's Association have contributed criteria for the diagnosis of Alzheimer's disease (AD) that better define clinical phenotypes and integrate biomarkers into the diagnostic process, covering the full staging of the disease. This Position Paper considers the strengths and limitations of the IWG research diagnostic criteria and proposes advances to improve the diagnostic framework. On the basis of these refinements, the diagnosis of AD can be simplified, requiring the presence of an appropriate clinical AD phenotype (typical or atypical) and a pathophysiological biomarker consistent with the presence of Alzheimer's pathology. We propose that downstream topographical biomarkers of the disease, such as volumetric MRI and fluorodeoxyglucose PET, might better serve in the measurement and monitoring of the course of disease. This paper also elaborates on the specific diagnostic criteria for atypical forms of AD, for mixed AD, and for the preclinical states of AD.
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Affiliation(s)
- Bruno Dubois
- Centre des Maladies Cognitives et Comportementales, Institut du Cerveau et de la Moelle épinière, Paris, France; Université Pierre et Marie Curie-Paris 6, AP-HP, Hôpital de la Salpêtrière, Paris, France.
| | - Howard H Feldman
- Division of Neurology, University of British Columbia and Vancouver Coastal Health, Vancouver, BC, Canada
| | - Claudia Jacova
- UBC Division of Neurology, S152 UBC Hospital, BC, Canada
| | - Harald Hampel
- Centre des Maladies Cognitives et Comportementales, Institut du Cerveau et de la Moelle épinière, Paris, France; Université Pierre et Marie Curie-Paris 6, AP-HP, Hôpital de la Salpêtrière, Paris, France
| | - José Luis Molinuevo
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, IDIBAPS Hospital Clinici Universitari, Barcelona, Spain; BarcelonaBeta Brain Research Centre, Fundació Pasqual Maragall, Barcelona, Spain
| | - Kaj Blennow
- Clinical Neurochemistry Laboratory, Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at University of Gothenburg, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Steven T DeKosky
- Department of Neurology, University of Virginia, Charlottesville, VA, USA
| | - Serge Gauthier
- McGill Center for Studies in Aging, Douglas Hospital, Montreal, Quebec, QC, Canada
| | - Dennis Selkoe
- Harvard Medical School Center for Neurologic Diseases, Brigham and Women's Hospital, Boston, MA, USA
| | - Randall Bateman
- Washington University School of Medicine, St Louis, Missouri, MO, USA
| | - Stefano Cappa
- Vita-Salute San Raffaele University, Milan, Italy; Department of Clinical Neurosciences, Cognitive Neurorehabilitation, Milan, Italy
| | - Sebastian Crutch
- Dementia Research Centre, Department of Neurodegeneration, Institute of Neurology, University College London, London, UK; Dementia Research Centre, National Hospital, London, UK
| | - Sebastiaan Engelborghs
- Department of Neurology and Memory Clinic, Hospital Network Antwerp (ZNA), Middelheim and Hoge Beuken, Antwerp, Belgium; Reference Centre for Biological Markers of Dementia, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Giovanni B Frisoni
- Hopitaux Universitaires et Université de Genève, Geneva, Switzerland; IRCCS Fatebenefratelli, Brescia, Italy; HUG Belle-Idée, bâtiment les Voirons, Chêne-Bourg, France
| | - Nick C Fox
- Dementia Research Centre, Department of Neurodegeneration, Institute of Neurology, University College London, London, UK
| | - Douglas Galasko
- Department of Neurosciences, -University of California, San Diego, CA, USA
| | - Marie-Odile Habert
- INSERM UMR, Paris, France; AP-HP, Groupe Hospitalier Pitié-Salpêtrière, Service de Médecine Nucléaire, Paris, France
| | - Gregory A Jicha
- University of Kentucky Alzheimer's Disease Center, Lexington, KY, USA
| | - Agneta Nordberg
- Karolinska Institutet, Karolinska University Hospital Huddinge, Alzheimer Neurobiology Center, Stockholm, Sweden
| | - Florence Pasquier
- Université Lille Nord de France, Lille, France; CHRU, Clinique Neurologique, Hôpital Roger Salengro, Lille, France
| | - Gil Rabinovici
- UCSF Memory & Aging Center, Department of Neurology, University of California, San Francisco, CA, USA
| | - Philippe Robert
- EA CoBTeK and Memory Center, CHU University of Nice, UNSA, Hôpital de Cimiez 4 av Victoria, Nice, France
| | - Christopher Rowe
- FRACP, Department of Nuclear Medicine and Centre for PET, Austin Health, Heidelberg, Melbourne, VIC, Australia
| | - Stephen Salloway
- Neurology and the Memory and Aging Program, Butler Hospital, Department of Neurology and Psychiatry, The Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Marie Sarazin
- Neurologie de la Mémoire et du Langage, Centre Hospitalier Sainte-Anne, Paris Cedex, France; Université Paris 5, Paris, France
| | - Stéphane Epelbaum
- Centre des Maladies Cognitives et Comportementales, Institut du Cerveau et de la Moelle épinière, Paris, France; Université Pierre et Marie Curie-Paris 6, AP-HP, Hôpital de la Salpêtrière, Paris, France
| | - Leonardo C de Souza
- Centre des Maladies Cognitives et Comportementales, Institut du Cerveau et de la Moelle épinière, Paris, France; Université Pierre et Marie Curie-Paris 6, AP-HP, Hôpital de la Salpêtrière, Paris, France; Faculty of Medicine, Federal University of Minas Gerais, Belo Horizonte, Brazil
| | - Bruno Vellas
- Gerontopole, Pavillon Junod, University Toulouse 3, Toulouse, France
| | - Pieter J Visser
- Department of Psychiatry and Neuropsychology, Alzheimer Centre Limburg, School of Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, Netherlands; Department of Neurology and Alzheimer Center, Amsterdam, Netherlands
| | - Lon Schneider
- Department of Psychiatry, Neurology, and Gerontology, Keck School of Medicine of USC, Los Angeles, CA, USA
| | - Yaakov Stern
- Cognitive Neuroscience Division of the Taub Institute, Presbyterian Hospital, New York, NY, USA
| | - Philip Scheltens
- Alzheimer Centrum Vrije Universiteit Medical Center, VU University, Amsterdam, Netherlands
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Sarazin M, Hamelin L, Lamari F, Bottlaender M. Diagnosticare la malattia di Alzheimer. Neurologia 2014. [DOI: 10.1016/s1634-7072(14)67223-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
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Slaets S, Vanmechelen E, Le Bastard N, Decraemer H, Vandijck M, Martin JJ, De Deyn PP, Engelborghs S. Increased CSF α-synuclein levels in Alzheimer's disease: correlation with tau levels. Alzheimers Dement 2014; 10:S290-8. [PMID: 24439167 DOI: 10.1016/j.jalz.2013.10.004] [Citation(s) in RCA: 64] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2013] [Revised: 09/20/2013] [Accepted: 10/21/2013] [Indexed: 11/25/2022]
Abstract
BACKGROUND Given the difficult clinical differential diagnosis between Alzheimer's disease (AD) and dementia with Lewy bodies (DLB), growing interest resulted in research on α-synuclein as a potential cerebrospinal fluid biomarker (CSF) for synucleinopathies. METHODS CSF α-synuclein-140 concentrations were determined by a prototype xMAP™ bead-based assay (Innogenetics NV, Belgium). In addition, CSF amyloid β1-42 (Aβ1-42), total tau (T-tau), and phosphorylated tau (P-tau181P) levels were determined. RESULTS CSF α-synuclein levels were higher in AD patients as compared with cognitively healthy controls (P=.019) and patients with synucleinopathies (P<.001). CSF α-synuclein levels were correlated with T-tau (P<.001) and P-tau181P (P<.001) levels in autopsy-confirmed AD patients. A diagnostic algorithm using α-synuclein and P-tau181P discriminated neuropathologically confirmed AD from DLB patients, resulting in sensitivity and specificity values of 85% and 81%, respectively. CONCLUSION Because CSF α-synuclein levels were significantly higher in AD as compared with synucleinopathies, α-synuclein might have a value as a biomarker for differential dementia diagnosis.
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Affiliation(s)
- Sylvie Slaets
- Reference Center for Biological Markers of Dementia (BIODEM), Laboratory of Neurochemistry and Behavior, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | | | - Nathalie Le Bastard
- Reference Center for Biological Markers of Dementia (BIODEM), Laboratory of Neurochemistry and Behavior, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | | | - Manu Vandijck
- Innogenetics NV (Miraca/Fujirebio Group), Ghent, Belgium
| | | | - Peter Paul De Deyn
- Reference Center for Biological Markers of Dementia (BIODEM), Laboratory of Neurochemistry and Behavior, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium; Biobank, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium; Department of Neurology and Memory Clinic, Hospital Network Antwerp (ZNA) Middelheim and Hoge Beuken, Antwerp, Belgium; Department of Neurology and Alzheimer Research Center, University of Groningen and University Medical Center Groningen, Groningen, The Netherlands
| | - Sebastiaan Engelborghs
- Reference Center for Biological Markers of Dementia (BIODEM), Laboratory of Neurochemistry and Behavior, 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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Toledo JB, Cairns NJ, Da X, Chen K, Carter D, Fleisher A, Householder E, Ayutyanont N, Roontiva A, Bauer RJ, Eisen P, Shaw LM, Davatzikos C, Weiner MW, Reiman EM, Morris JC, Trojanowski JQ. Clinical and multimodal biomarker correlates of ADNI neuropathological findings. Acta Neuropathol Commun 2013; 1:65. [PMID: 24252435 PMCID: PMC3893373 DOI: 10.1186/2051-5960-1-65] [Citation(s) in RCA: 127] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2013] [Accepted: 09/23/2013] [Indexed: 12/11/2022] Open
Abstract
Background Autopsy series commonly report a high percentage of coincident pathologies in demented patients, including patients with a clinical diagnosis of dementia of the Alzheimer type (DAT). However many clinical and biomarker studies report cases with a single neurodegenerative disease. We examined multimodal biomarker correlates of the consecutive series of the first 22 Alzheimer’s Disease Neuroimaging Initiative autopsies. Clinical data, neuropsychological measures, cerebrospinal fluid Aβ, total and phosphorylated tau and α-synuclein and MRI and FDG-PET scans. Results Clinical diagnosis was either probable DAT or Alzheimer’s disease (AD)-type mild cognitive impairment (MCI) at last evaluation prior to death. All patients had a pathological diagnosis of AD, but only four had pure AD. A coincident pathological diagnosis of dementia with Lewy bodies (DLB), medial temporal lobe pathology (TDP-43 proteinopathy, argyrophilic grain disease and hippocampal sclerosis), referred to collectively here as MTL, and vascular pathology were present in 45.5%, 40.0% and 22.7% of these patients, respectively. Hallucinations were a strong predictor of coincident DLB (100% specificity) and a more severe dysexecutive profile was also a useful predictor of coincident DLB (80.0% sensitivity and 83.3% specificity). Occipital FDG-PET hypometabolism accurately classified coincident DLB (80% sensitivity and 100% specificity). Subjects with coincident MTL showed lower hippocampal volume. Conclusions Biomarkers can be used to independently predict coincident AD and DLB pathology, a common finding in amnestic MCI and DAT patients. Cohorts with comprehensive neuropathological assessments and multimodal biomarkers are needed to characterize independent predictors for the different neuropathological substrates of cognitive impairment.
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