4.5 Article

Method comparison study of the Elecsys® β-Amyloid (1-42) CSF assay versus comparator assays and LC-MS/MS

Journal

CLINICAL BIOCHEMISTRY
Volume 72, Issue -, Pages 7-14

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.clinbiochem.2019.05.006

Keywords

Alzheimer's disease; Biomarker; Amyloid-beta peptide; Immunoassay; Cerebrospinal fluid; Correlation

Funding

  1. Roche Diagnostics - Roche Diagnostics

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Background: Alzheimer's disease (AD) biomarkers, such as cerebrospinal fluid (CSF) amyloid-beta (1-42; A beta 42), can provide high diagnostic accuracy. Several immunoassays are available for A beta 42 quantitation, but standardisation across assays remains an issue. We compared the Elecsys (R) beta-Amyloid (1-42) CSF assay with three assays and two liquid chromatography tandem mass spectrometry (LC-MS/MS) methods. Methods: Three method comparison studies evaluated the correlation between the Elecsys (R) beta-Amyloid (1-42) CSF assay versus: INNOTEST (R) beta-AMYLOID(1-42) (860 samples) and the Roche Diagnostics-developed LC-MS/MS method (250 samples); INNO-BIA AlzBio3 and the University of Pennsylvania (UPenn)-developed LC-MS/MS method (250 samples); and ADx-EUROIMMUN Beta-Amyloid (1-42) enzyme-linked immunosorbent assay (ELISA) (49 samples). Results: High correlation was demonstrated between Elecsys (R) beta-Amyloid (1-42) CSF and comparator assays: INNOTEST (R) beta-AMYLOID(1-42) (Spearman's rho, 0.954); INNO-BIA AlzBio3 (Spearman's rho, 0.864); ADx-EUROIMMUN Beta-Amyloid (1-42) ELISA (Pearson's r, 0.925). Elecsys (R) assay and LC-MS/MS measurements were highly correlated: Pearson's r, 0.949 (Roche Diagnostics-developed method) and 0.943 (UPenn-developed method). Conclusion: Findings from this multicentre evaluation further support use of the Elecsys (R) beta-Amyloid (1-42) CSF assay to aid AD diagnosis. CSF-based certified reference materials should improve agreement across assays and mass spectrometry-based methods, which is essential to establish a global uniform CSF A beta 42 cut-off to detect amyloid pathology.

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