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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.
Afiliação
  • Margraf NG; Department of Neurology, University Medical Center Schleswig-Holstein, Campus Kiel, Kiel University, Kiel, Germany.
  • Jensen-Kondering U; Department of Radiology and Neuroradiology, University Medical Center Schleswig-Holstein, Campus Kiel, Kiel University, Kiel, Germany.
  • Weiler C; Department of Neuroradiology, University Medical Center Schleswig-Holstein, Campus Lübeck, Lübeck, Germany.
  • Leypoldt F; Department of Neurology, University Medical Center Schleswig-Holstein, Campus Kiel, Kiel University, Kiel, Germany.
  • Maetzler W; Department of Neurology, University Medical Center Schleswig-Holstein, Campus Kiel, Kiel University, Kiel, Germany.
  • Philippen S; Institute of Clinical Chemistry, University Medical Center Schleswig-Holstein, Kiel/Lübeck, Germany.
  • Bartsch T; Department of Neurology, University Medical Center Schleswig-Holstein, Campus Kiel, Kiel University, Kiel, Germany.
  • Flüh C; Department of Neurology, University Medical Center Schleswig-Holstein, Campus Kiel, Kiel University, Kiel, Germany.
  • Röcken C; Department of Neurology, University Medical Center Schleswig-Holstein, Campus Kiel, Kiel University, Kiel, Germany.
  • Möller B; Department of Neurosurgery, University Medical Center Schleswig-Holstein, Campus Kiel, Kiel University, Kiel, Germany.
  • Royl G; Department of Pathology, University Medical Center Schleswig-Holstein, Campus Kiel, Kiel University, Kiel, Germany.
  • Neumann A; Department of Neurology, University Medical Center Schleswig-Holstein, Campus Kiel, Kiel University, Kiel, Germany.
  • Brüggemann N; Department of Neurology, University Medical Center Schleswig Holstein, Campus Lübeck, Lübeck, Germany.
  • Roeben B; Department of Neuroradiology, University Medical Center Schleswig-Holstein, Campus Lübeck, Lübeck, Germany.
  • Schulte C; Department of Neurology, University Medical Center Schleswig Holstein, Campus Lübeck, Lübeck, Germany.
  • Bender B; Institute of Neurogenetics, University of Lübeck, Lübeck, Germany.
  • Berg D; Department of Neurodegeneration, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany.
  • Kuhlenbäumer G; German Center for Neurodegenerative Diseases, University of Tübingen, Tübingen, Germany.
Front Aging Neurosci ; 14: 783996, 2022.
Article em En | MEDLINE | ID: mdl-35237145
ABSTRACT

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 (Aß40), beta-amyloid 1-42 (Aß42), total tau (t-tau), and phosphorylated tau 181 (p-tau181) 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 Aß42/40 ratio to estimate diagnostic parameters. A meta-analysis of all amenable published studies was conducted.

RESULTS:

In our data Aß42/40 (AUC 0.88) discriminated best between CAA and controls while Aß40 did not perform well (AUC 0.63). Differentiating between CAA and AD, p-tau181 (AUC 0.75) discriminated best in this study while Aß40 (AUC 0.58) and Aß42 (AUC 0.54) provided no discrimination. In the meta-analysis, Aß42/40 (AUC 0.90) showed the best discrimination between CAA and controls followed by t-tau (AUC 0.79), Aß40 (AUC 0.76), and p-tau181 (AUC 0.71). P-tau181 (AUC 0.76), Aß40 (AUC 0.73), and t-tau (AUC 0.71) differentiated comparably between AD and CAA while Aß42 (AUC 0.54) did not. In agreement with studies examining AD biomarkers, Aß42/40 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.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article