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Cerebrospinal Fluid Biomarkers in Cerebral Amyloid Angiopathy: New Data and Quantitative Meta-Analysis
BACKGROUND: To evaluate the diagnostic accuracy of cerebrospinal fluid (CSF) biomarkers in patients with probable cerebral amyloid angiopathy (CAA) according to the modified Boston criteria in a retrospective multicentric cohort. METHODS: Beta-amyloid 1-40 (Aβ40), beta-amyloid 1-42 (Aβ42), total tau...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8884145/ https://www.ncbi.nlm.nih.gov/pubmed/35237145 http://dx.doi.org/10.3389/fnagi.2022.783996 |
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author | Margraf, Nils G. Jensen-Kondering, Ulf Weiler, Caroline Leypoldt, Frank Maetzler, Walter Philippen, Sarah Bartsch, Thorsten Flüh, Charlotte Röcken, Christoph Möller, Bettina Royl, Georg Neumann, Alexander Brüggemann, Norbert Roeben, Benjamin Schulte, Claudia Bender, Benjamin Berg, Daniela Kuhlenbäumer, Gregor |
author_facet | Margraf, Nils G. Jensen-Kondering, Ulf Weiler, Caroline Leypoldt, Frank Maetzler, Walter Philippen, Sarah Bartsch, Thorsten Flüh, Charlotte Röcken, Christoph Möller, Bettina Royl, Georg Neumann, Alexander Brüggemann, Norbert Roeben, Benjamin Schulte, Claudia Bender, Benjamin Berg, Daniela Kuhlenbäumer, Gregor |
author_sort | Margraf, Nils G. |
collection | PubMed |
description | BACKGROUND: To evaluate the diagnostic accuracy of cerebrospinal fluid (CSF) biomarkers in patients with probable cerebral amyloid angiopathy (CAA) according to the modified Boston criteria in a retrospective multicentric cohort. METHODS: Beta-amyloid 1-40 (Aβ40), beta-amyloid 1-42 (Aβ42), total tau (t-tau), and phosphorylated tau 181 (p-tau(181)) were measured in 31 patients with probable CAA, 28 patients with Alzheimer’s disease (AD), and 30 controls. Receiver-operating characteristics (ROC) analyses were performed for the measured parameters as well as the Aβ42/40 ratio to estimate diagnostic parameters. A meta-analysis of all amenable published studies was conducted. RESULTS: In our data Aβ42/40 (AUC 0.88) discriminated best between CAA and controls while Aβ40 did not perform well (AUC 0.63). Differentiating between CAA and AD, p-tau(181) (AUC 0.75) discriminated best in this study while Aβ40 (AUC 0.58) and Aβ42 (AUC 0.54) provided no discrimination. In the meta-analysis, Aβ42/40 (AUC 0.90) showed the best discrimination between CAA and controls followed by t-tau (AUC 0.79), Aβ40 (AUC 0.76), and p-tau(181) (AUC 0.71). P-tau(181) (AUC 0.76), Aβ40 (AUC 0.73), and t-tau (AUC 0.71) differentiated comparably between AD and CAA while Aβ42 (AUC 0.54) did not. In agreement with studies examining AD biomarkers, Aβ42/40 discriminated excellently between AD and controls (AUC 0.92–0.96) in this study as well as the meta-analysis. CONCLUSION: The analyzed parameters differentiate between controls and CAA with clinically useful accuracy (AUC > ∼0.85) but not between CAA and AD. Since there is a neuropathological, clinical and diagnostic continuum between CAA and AD, other diagnostic markers, e.g., novel CSF biomarkers or other parameters might be more successful. |
format | Online Article Text |
id | pubmed-8884145 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88841452022-03-01 Cerebrospinal Fluid Biomarkers in Cerebral Amyloid Angiopathy: New Data and Quantitative Meta-Analysis Margraf, Nils G. Jensen-Kondering, Ulf Weiler, Caroline Leypoldt, Frank Maetzler, Walter Philippen, Sarah Bartsch, Thorsten Flüh, Charlotte Röcken, Christoph Möller, Bettina Royl, Georg Neumann, Alexander Brüggemann, Norbert Roeben, Benjamin Schulte, Claudia Bender, Benjamin Berg, Daniela Kuhlenbäumer, Gregor Front Aging Neurosci Neuroscience BACKGROUND: To evaluate the diagnostic accuracy of cerebrospinal fluid (CSF) biomarkers in patients with probable cerebral amyloid angiopathy (CAA) according to the modified Boston criteria in a retrospective multicentric cohort. METHODS: Beta-amyloid 1-40 (Aβ40), beta-amyloid 1-42 (Aβ42), total tau (t-tau), and phosphorylated tau 181 (p-tau(181)) were measured in 31 patients with probable CAA, 28 patients with Alzheimer’s disease (AD), and 30 controls. Receiver-operating characteristics (ROC) analyses were performed for the measured parameters as well as the Aβ42/40 ratio to estimate diagnostic parameters. A meta-analysis of all amenable published studies was conducted. RESULTS: In our data Aβ42/40 (AUC 0.88) discriminated best between CAA and controls while Aβ40 did not perform well (AUC 0.63). Differentiating between CAA and AD, p-tau(181) (AUC 0.75) discriminated best in this study while Aβ40 (AUC 0.58) and Aβ42 (AUC 0.54) provided no discrimination. In the meta-analysis, Aβ42/40 (AUC 0.90) showed the best discrimination between CAA and controls followed by t-tau (AUC 0.79), Aβ40 (AUC 0.76), and p-tau(181) (AUC 0.71). P-tau(181) (AUC 0.76), Aβ40 (AUC 0.73), and t-tau (AUC 0.71) differentiated comparably between AD and CAA while Aβ42 (AUC 0.54) did not. In agreement with studies examining AD biomarkers, Aβ42/40 discriminated excellently between AD and controls (AUC 0.92–0.96) in this study as well as the meta-analysis. CONCLUSION: The analyzed parameters differentiate between controls and CAA with clinically useful accuracy (AUC > ∼0.85) but not between CAA and AD. Since there is a neuropathological, clinical and diagnostic continuum between CAA and AD, other diagnostic markers, e.g., novel CSF biomarkers or other parameters might be more successful. Frontiers Media S.A. 2022-02-14 /pmc/articles/PMC8884145/ /pubmed/35237145 http://dx.doi.org/10.3389/fnagi.2022.783996 Text en Copyright © 2022 Margraf, Jensen-Kondering, Weiler, Leypoldt, Maetzler, Philippen, Bartsch, Flüh, Röcken, Möller, Royl, Neumann, Brüggemann, Roeben, Schulte, Bender, Berg and Kuhlenbäumer. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Margraf, Nils G. Jensen-Kondering, Ulf Weiler, Caroline Leypoldt, Frank Maetzler, Walter Philippen, Sarah Bartsch, Thorsten Flüh, Charlotte Röcken, Christoph Möller, Bettina Royl, Georg Neumann, Alexander Brüggemann, Norbert Roeben, Benjamin Schulte, Claudia Bender, Benjamin Berg, Daniela Kuhlenbäumer, Gregor Cerebrospinal Fluid Biomarkers in Cerebral Amyloid Angiopathy: New Data and Quantitative Meta-Analysis |
title | Cerebrospinal Fluid Biomarkers in Cerebral Amyloid Angiopathy: New Data and Quantitative Meta-Analysis |
title_full | Cerebrospinal Fluid Biomarkers in Cerebral Amyloid Angiopathy: New Data and Quantitative Meta-Analysis |
title_fullStr | Cerebrospinal Fluid Biomarkers in Cerebral Amyloid Angiopathy: New Data and Quantitative Meta-Analysis |
title_full_unstemmed | Cerebrospinal Fluid Biomarkers in Cerebral Amyloid Angiopathy: New Data and Quantitative Meta-Analysis |
title_short | Cerebrospinal Fluid Biomarkers in Cerebral Amyloid Angiopathy: New Data and Quantitative Meta-Analysis |
title_sort | cerebrospinal fluid biomarkers in cerebral amyloid angiopathy: new data and quantitative meta-analysis |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8884145/ https://www.ncbi.nlm.nih.gov/pubmed/35237145 http://dx.doi.org/10.3389/fnagi.2022.783996 |
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