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Plasma biomarkers move at different rates across the Alzheimer's disease continuum

Title: Plasma biomarkers move at different rates across the Alzheimer's disease continuum
Authors: Canovas, Rodrigo; Fowler, Christopher J; Feizpour, Azadeh; Dore, Vincent; Bourgeat, Pierrick; Saad, Ziad S; Triana-Baltzer, Gallen; Kolb, Hartmuth C; Kollmorgen, Gwendlyn; Rubio, Clara Quijano; Fripp, Jurgen; Laws, Simon M; Bannon, Anthony W; Blennow, Kaj; Zetterberg, Henrik; Rainey-Smith, Stephanie R; Rowe, Christopher C; Masters, Colin L; Doecke, James D
Publisher Information: John Wiley & Sons, Inc
Publication Year: 2025
Description: Background ; Alzheimer's disease (AD) is a complex and multifactorial disease, defined by accumulation of Amyloid-Beta (Aβ) and tau, and ultimately cognitive decline leading to dementia. Plasma biomarkers offer an efficient and non-invasive method to detect either Aβ or tau pathology but have demonstrated substantially different accuracy. Assessment of how these plasma biomarkers change along the disease continuum (Aβ and tau) are needed. ; Method ; In the current study, we investigated 15 high performing plasma biomarkers (pTau217: Lumipulse, ALZpath, Elecsys@ NeuroToolKit [Roche Diagnostics International Ltd, Rotkreuz, Switzerland], Janssen; pTau181: Simoa, Elecsys, UGOT; pTau231: UGOT; Aβ42/40: Lumipulse, Elecsys@; GFAP: Simoa, Elecsys@, NFL: Simoa, Elecsys, BD-Tau: Simoa, Elecsys) against PET-Aβ Centiloid (CL) and meta-temporal CenTauR (CTR) across the AD continuum. Samples from the Australian Imaging, Biomarkers and Lifestyle (AIBL) study of ageing were selected if they had both plasma and PET imaging for Aβ and tau (N = 272). Generalised additive models from biomarker Z-scores vs CL and CTR were computed, and receiver operating characteristic (ROC) analyses were performed to calculate area under the curve along with sensitivity, specificity, positive predictive value, negative predictive value and accuracy for both PET-Aβ and PET-tau positivity (CL>20 & CTR>24). ; Result ; Against both Centiloid and CenTauR, pTau217 had the largest increases over the disease continuum, with the Z-scores rising above the other biomarkers by 50CL for Aβ, and by 20 CTR for tau. From the point at which Aβ became positive to when tau became positive, pTau217 rose between 12% and 21%, whilst for all other markers rises of between 1% and 8% were seen. Highest correlations between biomarkers with CL and CTR were seen for pTau217 and optimal AUC values for CL and CTR reached approximate 0.95 and 0.91. ; Conclusion ; The findings from this research confirm that pTau217 is the strongest biomarker to predict either Aβ or tau ...
Document Type: conference object
File Description: pdf
Language: English
Relation: ispartof: Alzheimer's & dementia issue Supp 2 vol 21; 991005849788807891; https://researchportal.murdoch.edu.au/view/delivery/61MUN_INST/12189614830007891/13189674380007891; alma:61MUN_INST/bibs/991005849788807891
DOI: 10.1002/alz70856_106046
Availability: https://doi.org/10.1002/alz70856_106046; https://researchportal.murdoch.edu.au/esploro/outputs/abstract/Plasma-biomarkers-move-at-different-rates/991005849788807891; https://researchportal.murdoch.edu.au/view/delivery/61MUN_INST/12189614830007891/13189674380007891
Rights: © 2025 The Alzheimer's Association ; Open ; CC BY V4.0
Accession Number: edsbas.A85561CD
Database: BASE