A Novel Automated Chemiluminescence Method for Detecting Cerebrospinal Fluid Amyloid-Beta 1-42 and 1-40, Total Tau and Phosphorylated-Tau: Implications for Improving Diagnostic Performance in Alzheimer’s Disease

Bibliographic Details
Title: A Novel Automated Chemiluminescence Method for Detecting Cerebrospinal Fluid Amyloid-Beta 1-42 and 1-40, Total Tau and Phosphorylated-Tau: Implications for Improving Diagnostic Performance in Alzheimer’s Disease
Authors: Marina Arcaro, Chiara Fenoglio, Maria Serpente, Andrea Arighi, Giorgio G. Fumagalli, Luca Sacchi, Stefano Floro, Marianna D’Anca, Federica Sorrentino, Caterina Visconte, Alberto Perego, Elio Scarpini, Daniela Galimberti
Source: Biomedicines, Vol 10, Iss 10, p 2667 (2022)
Publisher Information: MDPI AG, 2022.
Publication Year: 2022
Collection: LCC:Biology (General)
Subject Terms: CSF, biomarkers, Alzheimer’s disease, ELISA, CLEIA, Biology (General), QH301-705.5
More Details: Recently, a fully automated instrument for the detection of the Cerebrospinal Fluid (CSF) biomarker for Alzheimer’s disease (AD) (low concentration of Amyloid-beta 42 (Aβ42), high concentration of total tau (T-tau) and Phosphorylated-tau (P-tau181)), has been implemented, namely CLEIA. We conducted a comparative analysis between ELISA and CLEIA methods in order to evaluate the analytical precision and the diagnostic performance of the novel CLEIA system on 111 CSF samples. Results confirmed a robust correlation between ELISA and CLEIA methods, with an improvement of the accuracy with the new CLEIA methodology in the detection of the single biomarkers and in their ratio values. For Aβ42 regression analysis with Passing–Bablok showed a Pearson correlation coefficient r = 0.867 (0.8120; 0.907% 95% CI p < 0.0001), T-tau analysis: r = 0.968 (0.954; 0.978% 95% CI p < 0.0001) and P-tau181: r = 0.946 (0.922; 0.962 5% 95% CI p < 0.0001). The overall ROC AUC comparison between ROC in ELISA and ROC in CLEIA confirmed a more accurate ROC AUC with the new automatic method: T-tau AUC ELISA = 0.94 (95% CI 0.89; 0.99 p < 0.0001) vs. AUC CLEIA = 0.95 (95% CI 0.89; 1.00 p < 0.0001), and P-tau181 AUC ELISA = 0.91 (95% CI 0.85; 0.98 p < 0.0001) vs. AUC CLEIA = 0.98 (95% CI 0.95; 1.00 p < 0.0001). The performance of the new CLEIA method in automation is comparable and, for tau and P-tau181, even better, as compared with standard ELISA. Hopefully, in the future, automation could be useful in clinical diagnosis and also in the context of clinical studies.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2227-9059
Relation: https://www.mdpi.com/2227-9059/10/10/2667; https://doaj.org/toc/2227-9059
DOI: 10.3390/biomedicines10102667
Access URL: https://doaj.org/article/0c5b3d27d1fa407f8001c4154559e87a
Accession Number: edsdoj.0c5b3d27d1fa407f8001c4154559e87a
Database: Directory of Open Access Journals
More Details
ISSN:22279059
DOI:10.3390/biomedicines10102667
Published in:Biomedicines
Language:English