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Kang JH, Korecka M, Lee EB, Cousins KAQ, Tropea TF, Chen-Plotkin AA, Irwin DJ, Wolk D, Brylska M, Wan Y, Shaw LM. Alzheimer Disease Biomarkers: Moving from CSF to Plasma for Reliable Detection of Amyloid and tau Pathology. Clin Chem 2023; 69:1247-1259. [PMID: 37725909 PMCID: PMC10895336 DOI: 10.1093/clinchem/hvad139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Accepted: 07/07/2023] [Indexed: 09/21/2023]
Abstract
BACKGROUND Development of validated biomarkers to detect early Alzheimer disease (AD) neuropathology is needed for therapeutic AD trials. Abnormal concentrations of "core" AD biomarkers, cerebrospinal fluid (CSF) amyloid beta1-42, total tau, and phosphorylated tau correlate well with neuroimaging biomarkers and autopsy findings. Nevertheless, given the limitations of established CSF and neuroimaging biomarkers, accelerated development of blood-based AD biomarkers is underway. CONTENT Here we describe the clinical significance of CSF and plasma AD biomarkers to detect disease pathology throughout the Alzheimer continuum and correlate with imaging biomarkers. Use of the AT(N) classification by CSF and imaging biomarkers provides a more objective biologically based diagnosis of AD than clinical diagnosis alone. Significant progress in measuring CSF AD biomarkers using extensively validated highly automated assay systems has facilitated their transition from research use only to approved in vitro diagnostics tests for clinical use. We summarize development of plasma AD biomarkers as screening tools for enrollment and monitoring participants in therapeutic trials and ultimately in clinical care. Finally, we discuss the challenges for AD biomarkers use in clinical trials and precision medicine, emphasizing the possible ethnocultural differences in the levels of AD biomarkers. SUMMARY CSF AD biomarker measurements using fully automated analytical platforms is possible. Building on this experience, validated blood-based biomarker tests are being implemented on highly automated immunoassay and mass spectrometry platforms. The progress made developing analytically and clinically validated plasma AD biomarkers within the AT(N) classification scheme can accelerate use of AD biomarkers in therapeutic trials and routine clinical practice.
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Affiliation(s)
- Ju Hee Kang
- Department of Pharmacology and Clinical Pharmacology, Research Center for Controlling Intercellular Communication, Inha University, Incheon, South Korea
| | - Magdalena Korecka
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Edward B Lee
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Katheryn A Q Cousins
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Thomas F Tropea
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Alice A Chen-Plotkin
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - David J Irwin
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - David Wolk
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Magdalena Brylska
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Yang Wan
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Leslie M Shaw
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
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2
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Mathioudakis L, Dimovasili C, Bourbouli M, Latsoudis H, Kokosali E, Gouna G, Vogiatzi E, Basta M, Kapetanaki S, Panagiotakis S, Kanterakis A, Boumpas D, Lionis C, Plaitakis A, Simos P, Vgontzas A, Kafetzopoulos D, Zaganas I. Study of Alzheimer's disease- and frontotemporal dementia-associated genes in the Cretan Aging Cohort. Neurobiol Aging 2023; 123:111-128. [PMID: 36117051 DOI: 10.1016/j.neurobiolaging.2022.07.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Revised: 07/03/2022] [Accepted: 07/04/2022] [Indexed: 02/02/2023]
Abstract
Using exome sequencing, we analyzed 196 participants of the Cretan Aging Cohort (CAC; 95 with Alzheimer's disease [AD], 20 with mild cognitive impairment [MCI], and 81 cognitively normal controls). The APOE ε4 allele was more common in AD patients (23.2%) than in controls (7.4%; p < 0.01) and the PSEN2 p.Arg29His and p.Cys391Arg variants were found in 3 AD and 1 MCI patient, respectively. Also, we found the frontotemporal dementia (FTD)-associated TARDBP gene p.Ile383Val variant in 2 elderly patients diagnosed with AD and in 2 patients, non CAC members, with the amyotrophic lateral sclerosis/FTD phenotype. Furthermore, the p.Ser498Ala variant in the positively selected GLUD2 gene was less frequent in AD patients (2.11%) than in controls (16%; p < 0.01), suggesting a possible protective effect. While the same trend was found in another local replication cohort (n = 406) and in section of the ADNI cohort (n = 808), this finding did not reach statistical significance and therefore it should be considered preliminary. Our results attest to the value of genetic testing to study aged adults with AD phenotype.
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Affiliation(s)
- Lambros Mathioudakis
- University of Crete, Medical School, Neurology/Neurogenetics Laboratory, Heraklion, Crete, Greece
| | - Christina Dimovasili
- University of Crete, Medical School, Neurology/Neurogenetics Laboratory, Heraklion, Crete, Greece
| | - Mara Bourbouli
- University of Crete, Medical School, Neurology/Neurogenetics Laboratory, Heraklion, Crete, Greece
| | - Helen Latsoudis
- Minotech Genomics Facility, Institute of Molecular Biology and Biotechnology (IMBB-FORTH), Heraklion, Crete, Greece
| | - Evgenia Kokosali
- University of Crete, Medical School, Neurology/Neurogenetics Laboratory, Heraklion, Crete, Greece
| | - Garyfallia Gouna
- University of Crete, Medical School, Neurology/Neurogenetics Laboratory, Heraklion, Crete, Greece
| | - Emmanouella Vogiatzi
- University of Crete, Medical School, Neurology/Neurogenetics Laboratory, Heraklion, Crete, Greece
| | - Maria Basta
- University of Crete, Medical School, Psychiatry Department, Heraklion, Crete, Greece
| | - Stefania Kapetanaki
- University of Crete, Medical School, Neurology/Neurogenetics Laboratory, Heraklion, Crete, Greece
| | - Simeon Panagiotakis
- University of Crete, Medical School, Internal Medicine Department, Heraklion, Crete, Greece
| | - Alexandros Kanterakis
- Computational BioMedicine Laboratory, Institute of Computer Science, Foundation for Research and Technology - Hellas (ICS-FORTH), Heraklion, Crete, Greece
| | - Dimitrios Boumpas
- University of Crete, Medical School, Internal Medicine Department, Heraklion, Crete, Greece
| | - Christos Lionis
- University of Crete, Medical School, Clinic of Social and Family Medicine, Heraklion, Crete, Greece
| | - Andreas Plaitakis
- University of Crete, Medical School, Neurology/Neurogenetics Laboratory, Heraklion, Crete, Greece
| | - Panagiotis Simos
- University of Crete, Medical School, Psychiatry Department, Heraklion, Crete, Greece
| | - Alexandros Vgontzas
- University of Crete, Medical School, Psychiatry Department, Heraklion, Crete, Greece
| | - Dimitrios Kafetzopoulos
- Minotech Genomics Facility, Institute of Molecular Biology and Biotechnology (IMBB-FORTH), Heraklion, Crete, Greece
| | - Ioannis Zaganas
- University of Crete, Medical School, Neurology/Neurogenetics Laboratory, Heraklion, Crete, Greece.
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3
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Bouwman FH, Frisoni GB, Johnson SC, Chen X, Engelborghs S, Ikeuchi T, Paquet C, Ritchie C, Bozeat S, Quevenco F, Teunissen C. Clinical application of CSF biomarkers for Alzheimer's disease: From rationale to ratios. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2022; 14:e12314. [PMID: 35496374 PMCID: PMC9044123 DOI: 10.1002/dad2.12314] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 03/01/2022] [Accepted: 03/28/2022] [Indexed: 12/15/2022]
Abstract
Biomarker testing is recommended for the accurate and timely diagnosis of Alzheimer's disease (AD). Using illustrative case narratives we consider how cerebrospinal fluid (CSF) biomarker tests may be used in different presentations of cognitive impairment to facilitate timely and differential diagnosis, improving diagnostic accuracy, providing prognostic information, and guiding personalized management in diverse scenarios. Evidence shows that (1) CSF ratios are superior to amyloid beta (Aβ)1-42 alone; (2) concordance of CSF ratios to amyloid positron emission tomography (PET) is better than Aβ1-42 alone; and (3) phosphorylated tau (p-tau)/Aβ1-42 ratio is superior to p-tau alone. CSF biomarkers are recommended for the exclusion of AD as the underlying cause of cognitive impairment, diagnosis of AD at an early stage, differential diagnosis of AD in individuals presenting with other neuropsychiatric symptoms, accurate diagnosis of AD in an atypical presentation, and for clinical trial enrichment. Highlights Cerebrospinal fluid (CSF) Alzheimer's disease (AD) biomarker testing may be underused outside specialist centers.CSF biomarkers improve diagnostic accuracy, guiding personalized management of AD.CSF ratios (amyloid beta [Aβ]1-42/Aβ1-40 and phosphorylated tau/Aβ1-42) perform better than single markers.CSF ratios produce fewer false-negative and false-positive results than individual markers.CSF biomarkers should be included in diagnostic work-up of AD and mild cognitive impairment due to AD.
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Affiliation(s)
- Femke H. Bouwman
- Alzheimer Center AmsterdamAmsterdam NeuroscienceAmsterdam UMCVrije Universiteit AmsterdamAmsterdamthe Netherlands
| | | | - Sterling C. Johnson
- University of Wisconsin‐Madison, and Geriatric Research Education and Clinical Center of the William S. Middleton Memorial Veterans HospitalMadisonWisconsinUSA
| | | | - Sebastiaan Engelborghs
- Center for Neurosciences (C4N)Vrije Universiteit Brussel, and Department of Neurology/Brussels Integrated Center for Brain and Memory (Bru‐BRAIN)Universitair Ziekenhuis Brussel, Brussels, and Department of Biomedical SciencesUniversity of AntwerpAntwerpBelgium
| | | | - Claire Paquet
- Université de ParisCognitive Neurology Center Lariboisière Hospital GHU APHP NordINSERMU1144ParisFrance
| | - Craig Ritchie
- University of Edinburgh, and Brain Health ScotlandEdinburghUK
| | | | | | - Charlotte Teunissen
- Department of Clinical ChemistryNeurochemistry LaboratoryAmsterdam NeuroscienceAmsterdam UMCVrije Universiteit AmsterdamAmsterdamthe Netherlands
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4
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Willemse EAJ, Sieben A, Somers C, Vermeiren Y, De Roeck N, Timmers M, Van Broeckhoven C, De Vil B, Cras P, De Deyn PP, Martin JJ, Teunissen CE, Engelborghs S, Bjerke M. Neurogranin as biomarker in CSF is non-specific to Alzheimer's disease dementia. Neurobiol Aging 2021; 108:99-109. [PMID: 34551375 DOI: 10.1016/j.neurobiolaging.2021.08.002] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Revised: 07/10/2021] [Accepted: 08/01/2021] [Indexed: 11/19/2022]
Abstract
We aimed to evaluate the specificity of neurogranin (Ng) for Alzheimer's disease (AD) in a dementia cohort. Cerebrospinal fluid (CSF) Ng was measured (ELISA) in two independent cohorts: (1) clinical (n = 116; age 72±11 years): AD, non-AD (+high T-tau), and controls; and (2) autopsy-confirmed (n = 97; age 71±11 years): AD and non-AD, and 50 controls (age 60±6 years). In 16 autopsy-confirmed AD and 8 control subjects, Ng was measured in tissue (BA6+BA22). Ng was compared across diagnostic groups or neuropathological staging using multilinear regression models. Median[IQR] Ng concentrations were elevated in AD (414[315-499]pg/mL) and non-AD (464[319-699]pg/mL) compared to controls (260[193-306]pg/mL), but highest in AD-high-T-tau (874[716, 1148] pg/mL) and Creutzfeldt-Jakob disease (CJD; 828[703-1373]pg/mL) in cohort 1 (p < 0.01), but not in cohort 2: AD: 358[249-470]pg/mL; non-AD:245[137-416]pg/mL; controls: 259[193-370]pg/mL. Ng and tau biomarkers strongly correlated (r = 0.4-0.9, p < 0.05), except in CJD. CSF Ng concentrations were not associated with neuropathological AD hallmarks, nor with tissue Ng concentrations. CSF Ng is a general biomarker for synaptic degeneration, strongly correlating with CSF tau, but without added value for AD differential diagnosis.
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Affiliation(s)
- Eline A J Willemse
- Reference Center for Biological Markers of Dementia (BIODEM) and Laboratory of Neurochemistry and Behavior, Laboratory of Neurobiology, Laboratory of Neurogenetics, and Biobank, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium; Neurochemistry laboratory. Dept. of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam, the Netherlands; Alzheimer Center, Dept. of Neurology, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands
| | - Anne Sieben
- Reference Center for Biological Markers of Dementia (BIODEM) and Laboratory of Neurochemistry and Behavior, Laboratory of Neurobiology, Laboratory of Neurogenetics, and Biobank, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Charisse Somers
- Reference Center for Biological Markers of Dementia (BIODEM) and Laboratory of Neurochemistry and Behavior, Laboratory of Neurobiology, Laboratory of Neurogenetics, and Biobank, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Yannick Vermeiren
- Reference Center for Biological Markers of Dementia (BIODEM) and Laboratory of Neurochemistry and Behavior, Laboratory of Neurobiology, Laboratory of Neurogenetics, and Biobank, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Naomi De Roeck
- Reference Center for Biological Markers of Dementia (BIODEM) and Laboratory of Neurochemistry and Behavior, Laboratory of Neurobiology, Laboratory of Neurogenetics, and Biobank, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Maarten Timmers
- Reference Center for Biological Markers of Dementia (BIODEM) and Laboratory of Neurochemistry and Behavior, Laboratory of Neurobiology, Laboratory of Neurogenetics, and Biobank, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium; Janssen Research and Development, a Division of Janssen Pharmaceutica NV, Beerse, Belgium
| | - Christine Van Broeckhoven
- Reference Center for Biological Markers of Dementia (BIODEM) and Laboratory of Neurochemistry and Behavior, Laboratory of Neurobiology, Laboratory of Neurogenetics, and Biobank, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium; Neurodegenerative Brain Diseases Group, VIB Center for Molecular Neurology, University of Antwerp, Antwerp, Belgium
| | - Bart De Vil
- Reference Center for Biological Markers of Dementia (BIODEM) and Laboratory of Neurochemistry and Behavior, Laboratory of Neurobiology, Laboratory of Neurogenetics, and Biobank, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Patrick Cras
- Reference Center for Biological Markers of Dementia (BIODEM) and Laboratory of Neurochemistry and Behavior, Laboratory of Neurobiology, Laboratory of Neurogenetics, and Biobank, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium; Department of Neurology, University Hospital Antwerp, Antwerp, Belgium
| | - Peter P De Deyn
- Reference Center for Biological Markers of Dementia (BIODEM) and Laboratory of Neurochemistry and Behavior, Laboratory of Neurobiology, Laboratory of Neurogenetics, 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
| | - Jean-Jacques Martin
- Reference Center for Biological Markers of Dementia (BIODEM) and Laboratory of Neurochemistry and Behavior, Laboratory of Neurobiology, Laboratory of Neurogenetics, and Biobank, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Charlotte E Teunissen
- Neurochemistry laboratory. Dept. of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam, the Netherlands
| | - Sebastiaan Engelborghs
- Reference Center for Biological Markers of Dementia (BIODEM) and Laboratory of Neurochemistry and Behavior, Laboratory of Neurobiology, Laboratory of Neurogenetics, and Biobank, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium; Department of Neurology and Center for Neurosciences (C4N), Universitair Ziekenhuis Brussel (UZ Brussel) and Vrije Universiteit Brussel (VUB), Brussels, Belgium
| | - Maria Bjerke
- Reference Center for Biological Markers of Dementia (BIODEM) and Laboratory of Neurochemistry and Behavior, Laboratory of Neurobiology, Laboratory of Neurogenetics, and Biobank, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium; Neurochemistry laboratory, Department of Clinical Biology and Center for Neurosciences (C4N), Universitair Ziekenhuis Brussel (UZ Brussel) and Vrije Universiteit Brussel (VUB), Brussels, Belgium.
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5
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Lombardi G, Pupi A, Bessi V, Polito C, Padiglioni S, Ferrari C, Lucidi G, Berti V, De Cristofaro MT, Piaceri I, Bagnoli S, Nacmias B, Sorbi S. Challenges in Alzheimer's Disease Diagnostic Work-Up: Amyloid Biomarker Incongruences. J Alzheimers Dis 2021; 77:203-217. [PMID: 32716357 DOI: 10.3233/jad-200119] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
BACKGROUND Discordance among amyloid biomarkers is a challenge to overcome in order to increase diagnostic accuracy in dementia. OBJECTIVES 1) To verify that cerebrospinal fluid (CSF) Aβ42/Aβ40 ratio (AβR) better agrees with Amyloid PET (Amy-PET) results compared to CSF Aβ42; 2) to detect differences among concordant positive, concordant negative, and discordant cases, basing the concordance definition on the agreement between CSF AβR and Amy-PET results; 3) to define the suspected underlying pathology of discordant cases using in vivo biomarkers. METHOD We retrospectively enrolled 39 cognitively impaired participants in which neuropsychological tests, apolipoprotein E genotype determination, TC/MRI, FDG-PET, Amy-PET, and CSF analysis had been performed. In all cases, CSF analysis was repeated using the automated Lumipulse method. In discordant cases, FDG-PET scans were evaluated visually and using automated classifiers. RESULTS CSF AβR better agreed with Amy-PET compared to CSF Aβ42 (Cohen's K 0.431 versus 0.05). Comparisons among groups did not show any difference in clinical characteristics except for age at symptoms onset that was higher in the 6 discordant cases with abnormal CSF AβR values and negative Amy-PET (CSF AβR+/AmyPET-). FDG-PET and all CSF markers (Aβ42, AβR, p-Tau, t-Tau) were suggestive of Alzheimer's disease (AD) in 5 of these 6 cases. CONCLUSION 1) CSF AβR is the CSF amyloid marker that shows the better level of agreement with Amy-PET results; 2) The use of FDG-PET and CSF-Tau markers in CSFAβR+/Amy-PET-discordant cases can support AD diagnosis; 3) Disagreement between positive CSF AβR and negative Amy-PET in symptomatic aged AD patients could be due to the variability in plaques conformation and a negative Amy-PET scan cannot be always sufficient to rule out AD.
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Affiliation(s)
- Gemma Lombardi
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy.,Fondazione Filippo Turati, Pistoia, Italy
| | | | | | - Cristina Polito
- Department of Biomedical, Experimental and Clinical Sciences "Mario Serio", Nuclear Medicine Unit, University of Florence, Florence, Italy
| | - Sonia Padiglioni
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
| | - Camilla Ferrari
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
| | | | - Valentina Berti
- Department of Biomedical, Experimental and Clinical Sciences "Mario Serio", Nuclear Medicine Unit, University of Florence, Florence, Italy
| | | | - Irene Piaceri
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
| | - Silvia Bagnoli
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
| | - Benedetta Nacmias
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy.,Fondazione IRCCS Don Carlo Gnocchi, Florence, Italy
| | - Sandro Sorbi
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy.,Fondazione IRCCS Don Carlo Gnocchi, Florence, Italy
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6
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Dubois B, Villain N, Frisoni GB, Rabinovici GD, Sabbagh M, Cappa S, Bejanin A, Bombois S, Epelbaum S, Teichmann M, Habert MO, Nordberg A, Blennow K, Galasko D, Stern Y, Rowe CC, Salloway S, Schneider LS, Cummings JL, Feldman HH. Clinical diagnosis of Alzheimer's disease: recommendations of the International Working Group. Lancet Neurol 2021; 20:484-496. [PMID: 33933186 PMCID: PMC8339877 DOI: 10.1016/s1474-4422(21)00066-1] [Citation(s) in RCA: 381] [Impact Index Per Article: 127.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Revised: 01/21/2021] [Accepted: 02/18/2021] [Indexed: 12/13/2022]
Abstract
In 2018, the US National Institute on Aging and the Alzheimer's Association proposed a purely biological definition of Alzheimer's disease that relies on biomarkers. Although the intended use of this framework was for research purposes, it has engendered debate and challenges regarding its use in everyday clinical practice. For instance, cognitively unimpaired individuals can have biomarker evidence of both amyloid β and tau pathology but will often not develop clinical manifestations in their lifetime. Furthermore, a positive Alzheimer's disease pattern of biomarkers can be observed in other brain diseases in which Alzheimer's disease pathology is present as a comorbidity. In this Personal View, the International Working Group presents what we consider to be the current limitations of biomarkers in the diagnosis of Alzheimer's disease and, on the basis of this evidence, we propose recommendations for how biomarkers should and should not be used for diagnosing Alzheimer's disease in a clinical setting. We recommend that Alzheimer's disease diagnosis be restricted to people who have positive biomarkers together with specific Alzheimer's disease phenotypes, whereas biomarker-positive cognitively unimpaired individuals should be considered only at-risk for progression to Alzheimer's disease.
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Affiliation(s)
- Bruno Dubois
- Assistance Publique-Hôpitaux de Paris (AP-HP) Department of Neurology, Sorbonne University, Paris, France; Institut du Cerveau, Sorbonne University, Paris, France.
| | - Nicolas Villain
- Assistance Publique-Hôpitaux de Paris (AP-HP) Department of Neurology, Sorbonne University, Paris, France; Institut du Cerveau, Sorbonne University, Paris, France
| | - Giovanni B Frisoni
- Laboratory of Neuroimaging of Aging (LANVIE), University of Geneva, Geneva, Switzerland; Memory Clinic, University Hospital of Geneva, Geneva, Switzerland; Laboratory of Alzheimer's Neuroimaging and Epidemiology (LANE), Saint John of God Clinical Research Centre, Brescia, Italy
| | - Gil D Rabinovici
- Memory and Aging Center, Department of Neurology and Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Marwan Sabbagh
- Cleveland Clinic, Lou Ruvo Center for Brain Health, Las Vegas, NV, USA
| | - Stefano Cappa
- University School for Advanced Studies, Pavia, Italy; RCCS Mondino Foundation, Pavia, Italy
| | - Alexandre Bejanin
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Universitat Autonoma de Barcelona, Barcelona, Spain; Biomedical Research Institute, Hospital de la Santa Creu i Sant Pau, Universitat Autonoma de Barcelona, Barcelona, Spain; Network Center for Biomedical Research in Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | - Stéphanie Bombois
- Assistance Publique-Hôpitaux de Paris (AP-HP) Department of Neurology, Sorbonne University, Paris, France; INSERM, CHU Lille, U1171 - Degenerative and vascular cognitive disorders, University of Lille, Lille, France
| | - Stéphane Epelbaum
- Assistance Publique-Hôpitaux de Paris (AP-HP) Department of Neurology, Sorbonne University, Paris, France; Inria ARAMIS project team, Inria-APHP collaboratio, Sorbonne University, Paris, France; Institut du Cerveau, Sorbonne University, Paris, France
| | - Marc Teichmann
- Assistance Publique-Hôpitaux de Paris (AP-HP) Department of Neurology, Sorbonne University, Paris, France
| | - Marie-Odile Habert
- AP-HP Department of Nuclear Medicine, Sorbonne University, Paris, France; CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Sorbonne University, Paris, France; Institut du Cerveau, Sorbonne University, Paris, France
| | - Agneta Nordberg
- Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Karolinska Institute, Stockholm, Sweden; Theme Aging, The Aging Brain, Karolinska University Hospital, Stockholm, Sweden
| | - Kaj Blennow
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Douglas Galasko
- Department of Neurosciences, University of California San Diego, La Jolla, CA, USA
| | - Yaakov Stern
- Cognitive Neuroscience Division, Department of Neurology, Columbia University, New York, NY, USA
| | - Christopher C Rowe
- Department of Molecular Imaging and Therapy, Austin Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Stephen Salloway
- Department of Neurology and Department of Psychiatry, Alpert Medical School of Brown University, Providence, RI, USA; Butler Hospital, Providence, RI, USA
| | - Lon S Schneider
- Keck School of Medicine of the University of Southern California, Los Angeles, USA
| | - Jeffrey L Cummings
- Cleveland Clinic, Lou Ruvo Center for Brain Health, Las Vegas, NV, USA; Chambers-Grundy Center for Transformative Neuroscience, Department of Brain Health, School of Integrated Health Sciences, University of Nevada Las Vegas, Las Vegas, NV, USA
| | - Howard H Feldman
- Department of Neurosciences, University of California San Diego, La Jolla, CA, USA; Shiley-Marcos Alzheimer's Disease Research Center, University of California San Diego, La Jolla, CA, USA; Alzheimer Disease Cooperative Study, University of California San Diego, La Jolla, CA, USA
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7
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Vacinova G, Vejražkova D, Rusina R, Holmerová I, Vaňková H, Jarolímová E, Včelák J, Bendlová B, Vaňková M. Regulated upon activation, normal T cell expressed and secreted (RANTES) levels in the peripheral blood of patients with Alzheimer's disease. Neural Regen Res 2021; 16:796-800. [PMID: 33063745 PMCID: PMC8067920 DOI: 10.4103/1673-5374.295340] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
Alzheimer’s disease (AD) is the most common type of dementia, but it is very difficult to diagnose with certainty, so many AD studies have attempted to find early and relevant diagnostic markers. Regulated upon activation, normal T cell expressed and secreted (RANTES, also known as C-C chemokine ligand) is a chemokine involved in the migration of T cells and other lymphoid cells. Changes in RANTES levels and its expression in blood or in cerebrospinal fluid have been reported in some neurodegenerative diseases, such as Parkinson’s disease and multiple sclerosis, but also in metabolic diseases in which inflammation plays a role. The aim of this observational study was to assess RANTES levels in peripheral blood as clinical indicators of AD. Plasma levels of RANTES were investigated in 85 AD patients in a relatively early phase of AD (median 8.5 months after diagnosis; 39 men and 46 women; average age 75.7 years), and in 78 control subjects (24 men and 54 women; average age 66 years). We found much higher plasma levels of RANTES in AD patients compared to controls. A negative correlation of RANTES levels with age, disease duration, Fazekas scale score, and the medial temporal lobe atrophy (MTA) score (Scheltens’s scale) was found in AD patients, i.e., the higher levels corresponded to earlier stages of the disease. Plasma RANTES levels were not correlated with cognitive scores. In AD patients, RANTES levels were positively correlated with the levels of pro-inflammatory cytokines interleukin-6 and tumor necrosis factor-α, which is consistent with the well-known fact that AD is associated with inflammatory processes. RANTES levels were also positively correlated with insulin levels in AD patients, with insulin resistance (HOMA-R) and pancreatic beta cell function (HOMA-F). This study evaluated several clinical and metabolic factors that may affect plasma levels of RANTES, but these factors could not explain the increases in RANTES levels observed in AD patients. Plasma levels of RANTES appear to be an interesting peripheral marker for early stages of AD. The study was approved by the Ethics Committee of Institute of Endocrinology, Prague, Czech Republic on July 22, 2011.
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Affiliation(s)
- Gabriela Vacinova
- Department of Molecular Endocrinology, Institute of Endocrinology; Department of Anthropology and Human Genetics, Faculty of Science, Charles University, Prague, Czech Republic
| | - Daniela Vejražkova
- Department of Molecular Endocrinology, Institute of Endocrinology, Prague, Czech Republic
| | - Robert Rusina
- Department of Neurology, Third Faculty of Medicine of Charles University and Thomayer Hospital Prague, Czech Republic
| | - Iva Holmerová
- II. Internal Medicine Clinic, Third Faculty of Medicine, Charles University, Prague; Faculty of Humanitites, Charles University Prague, Czech Republic
| | - Hana Vaňková
- II. Internal Medicine Clinic, Third Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Eva Jarolímová
- II. Internal Medicine Clinic, Third Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Josef Včelák
- Department of Molecular Endocrinology, Institute of Endocrinology, Prague, Czech Republic
| | - Běla Bendlová
- Department of Molecular Endocrinology, Institute of Endocrinology, Prague, Czech Republic
| | - Markéta Vaňková
- Department of Molecular Endocrinology, Institute of Endocrinology, Prague, Czech Republic
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Sancesario G, Bernardini S. AD biomarker discovery in CSF and in alternative matrices. Clin Biochem 2019; 72:52-57. [DOI: 10.1016/j.clinbiochem.2019.08.008] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2019] [Revised: 08/08/2019] [Accepted: 08/15/2019] [Indexed: 12/31/2022]
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9
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Santangelo R, Dell'Edera A, Sala A, Cecchetti G, Masserini F, Caso F, Pinto P, Leocani L, Falautano M, Passerini G, Martinelli V, Comi G, Perani D, Magnani G. The CSF p-tau181/Aβ42 Ratio Offers a Good Accuracy “In Vivo” in the Differential Diagnosis of Alzheimer’s Dementia. Curr Alzheimer Res 2019; 16:587-595. [DOI: 10.2174/1567205016666190725150836] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2019] [Revised: 05/06/2019] [Accepted: 07/04/2019] [Indexed: 11/22/2022]
Abstract
Background:
The incoming disease-modifying therapies against Alzheimer’s disease (AD)
require reliable diagnostic markers to correctly enroll patients all over the world. CSF AD biomarkers,
namely amyloid-β 42 (Aβ42), total tau (t-tau), and tau phosphorylated at threonine 181 (p-tau181),
showed good diagnostic accuracy in detecting AD pathology, but their real usefulness in daily clinical
practice is still a matter of debate. Therefore, further validation in complex clinical settings, that is patients
with different types of dementia, is needed to uphold their future worldwide adoption.
Methods:
We measured CSF AD biomarkers’ concentrations in a sample of 526 patients with a clinical
diagnosis of dementia (277 with AD and 249 with Other Type of Dementia, OTD). Brain FDG-PET was
also considered in a subsample of 54 patients with a mismatch between the clinical diagnosis and the
CSF findings.
Results:
A p-tau181/Aβ42 ratio higher than 0.13 showed the best diagnostic performance in differentiating
AD from OTD (86% accuracy index, 74% sensitivity, 81% specificity). In cases with a mismatch
between clinical diagnosis and CSF findings, brain FDG-PET partially agreed with the p-tau181/Aβ42
ratio, thus determining an increase in CSF accuracy.
Conclusions:
The p-tau181/Aβ42 ratio alone might reliably detect AD pathology in heterogeneous samples
of patients suffering from different types of dementia. It might constitute a simple, cost-effective
and reproducible in vivo proxy of AD suitable to be adopted worldwide not only in daily clinical practice
but also in future experimental trials, to avoid the enrolment of misdiagnosed AD patients.
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Affiliation(s)
- Roberto Santangelo
- Department of Neurology, INSPE, Vita-Salute University and IRCCS-San Raffaele Hospital, Milan, Italy
| | - Alessandro Dell'Edera
- Department of Neurology, INSPE, Vita-Salute University and IRCCS-San Raffaele Hospital, Milan, Italy
| | - Arianna Sala
- Nuclear Medicine Unit, IRCCS-San Raffaele Hospital, Milan, Italy
| | - Giordano Cecchetti
- Department of Neurology, INSPE, Vita-Salute University and IRCCS-San Raffaele Hospital, Milan, Italy
| | - Federico Masserini
- Department of Neurology, INSPE, Vita-Salute University and IRCCS-San Raffaele Hospital, Milan, Italy
| | - Francesca Caso
- Department of Neurology, INSPE, Vita-Salute University and IRCCS-San Raffaele Hospital, Milan, Italy
| | - Patrizia Pinto
- Department of Neurology, Papa Giovanni XXIII Hospital, Bergamo, Italy
| | - Letizia Leocani
- Department of Neurology, INSPE, Vita-Salute University and IRCCS-San Raffaele Hospital, Milan, Italy
| | | | - Gabriella Passerini
- Department of Laboratory Medicine, IRCCS-San Raffaele Hospital, Milan, Italy
| | - Vittorio Martinelli
- Department of Neurology, INSPE, Vita-Salute University and IRCCS-San Raffaele Hospital, Milan, Italy
| | - Giancarlo Comi
- Department of Neurology, INSPE, Vita-Salute University and IRCCS-San Raffaele Hospital, Milan, Italy
| | - Daniela Perani
- Nuclear Medicine Unit, IRCCS-San Raffaele Hospital, Milan, Italy
| | - Giuseppe Magnani
- Department of Neurology, INSPE, Vita-Salute University and IRCCS-San Raffaele Hospital, Milan, Italy
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10
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Gossye H, Van Broeckhoven C, Engelborghs S. The Use of Biomarkers and Genetic Screening to Diagnose Frontotemporal Dementia: Evidence and Clinical Implications. Front Neurosci 2019; 13:757. [PMID: 31447625 PMCID: PMC6691066 DOI: 10.3389/fnins.2019.00757] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2019] [Accepted: 07/08/2019] [Indexed: 12/12/2022] Open
Abstract
Within the wide range of neurodegenerative brain diseases, the differential diagnosis of frontotemporal dementia (FTD) frequently poses a challenge. Often, signs and symptoms are not characteristic of the disease and may instead reflect atypical presentations. Consequently, the use of disease biomarkers is of importance to correctly identify the patients. Here, we describe how neuropsychological characteristics, neuroimaging and neurochemical biomarkers and screening for causal gene mutations can be used to differentiate FTD from other neurodegenerative diseases as well as to distinguish between FTD subtypes. Summarizing current evidence, we propose a stepwise approach in the diagnostic evaluation. Clinical consensus criteria that take into account a full neuropsychological examination have relatively good accuracy (sensitivity [se] 75–95%, specificity [sp] 82–95%) to diagnose FTD, although misdiagnosis (mostly AD) is common. Structural brain MRI (se 70–94%, sp 89–99%) and FDG PET (se 47–90%, sp 68–98%) or SPECT (se 36–100%, sp 41–100%) brain scans greatly increase diagnostic accuracy, showing greater involvement of frontal and anterior temporal lobes, with sparing of hippocampi and medial temporal lobes. If these results are inconclusive, we suggest detecting amyloid and tau cerebrospinal fluid (CSF) biomarkers that can indicate the presence of AD with good accuracy (se 74–100%, sp 82–97%). The use of P-tau181 and the Aβ1–42/Aβ1–40 ratio significantly increases the accuracy of correctly identifying FTD vs. AD. Alternatively, an amyloid brain PET scan can be performed to differentiate FTD from AD. When autosomal dominant inheritance is suspected, or in early onset dementia, mutation screening of causal genes is indicated and may also be offered to at-risk family members. We have summarized genotype–phenotype correlations for several genes that are known to cause familial frontotemporal lobar degeneration, which is the neuropathological substrate of FTD. The genes most commonly associated with this disease (C9orf72, MAPT, GRN, TBK1) are discussed, as well as some less frequent ones (CHMP2B, VCP). Several other techniques, such as diffusion tensor imaging, tau PET imaging and measuring serum neurofilament levels, show promise for future implementation as diagnostic biomarkers.
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Affiliation(s)
- Helena Gossye
- Neurodegenerative Brain Diseases Group, Center for Molecular Neurology, VIB, Antwerp, Belgium.,Institute Born - Bunge, University of Antwerp, Antwerp, Belgium.,Department of Neurology and Center for Neurosciences, UZ Brussel and Vrije Universiteit Brussel, Brussels, Belgium
| | - Christine Van Broeckhoven
- Neurodegenerative Brain Diseases Group, Center for Molecular Neurology, VIB, Antwerp, Belgium.,Institute Born - Bunge, University of Antwerp, Antwerp, Belgium
| | - Sebastiaan Engelborghs
- Institute Born - Bunge, University of Antwerp, Antwerp, Belgium.,Department of Neurology and Center for Neurosciences, UZ Brussel and Vrije Universiteit Brussel, Brussels, Belgium
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11
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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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