Introduction: Blood-based biomarkers of pathophysiological brain amyloid β (Aβ) accumulation, particularly for preclinical target and large-scale interventions, are warranted to effectively enrich Alzheimer's disease clinical trials and management. Methods: We investigated whether plasma concentrations of the Aβ1–40/Aβ1–42 ratio, assessed using the single-molecule array (Simoa) immunoassay, may predict brain Aβ positron emission tomography status in a large-scale longitudinal monocentric cohort (N = 276) of older individuals with subjective memory complaints. We performed a hypothesis-driven investigation followed by a no-a-priori hypothesis study using machine learning. Results: The receiver operating characteristic curve and machine learning showed a balanced accuracy of 76.5% and 81%, respectively, for the plasma Aβ1–40/Aβ1–42 ratio. The accuracy is not affected by the apolipoprotein E (APOE)ε4 allele, sex, or age. Discussion: Our results encourage an independent validation cohort study to confirm the indication that the plasma Aβ1–40/Aβ1–42 ratio, assessed via Simoa, may improve future standard of care and clinical trial design.

Vergallo, A., Megret, L., Lista, S., Cavedo, E., Zetterberg, H., Blennow, K., et al. (2019). Plasma amyloid β 40/42 ratio predicts cerebral amyloidosis in cognitively normal individuals at risk for Alzheimer's disease. ALZHEIMER'S & DEMENTIA, 15(6), 764-775 [10.1016/j.jalz.2019.03.009].

Plasma amyloid β 40/42 ratio predicts cerebral amyloidosis in cognitively normal individuals at risk for Alzheimer's disease

Duggento A.;Garaci F.;Toschi N.;
2019-01-01

Abstract

Introduction: Blood-based biomarkers of pathophysiological brain amyloid β (Aβ) accumulation, particularly for preclinical target and large-scale interventions, are warranted to effectively enrich Alzheimer's disease clinical trials and management. Methods: We investigated whether plasma concentrations of the Aβ1–40/Aβ1–42 ratio, assessed using the single-molecule array (Simoa) immunoassay, may predict brain Aβ positron emission tomography status in a large-scale longitudinal monocentric cohort (N = 276) of older individuals with subjective memory complaints. We performed a hypothesis-driven investigation followed by a no-a-priori hypothesis study using machine learning. Results: The receiver operating characteristic curve and machine learning showed a balanced accuracy of 76.5% and 81%, respectively, for the plasma Aβ1–40/Aβ1–42 ratio. The accuracy is not affected by the apolipoprotein E (APOE)ε4 allele, sex, or age. Discussion: Our results encourage an independent validation cohort study to confirm the indication that the plasma Aβ1–40/Aβ1–42 ratio, assessed via Simoa, may improve future standard of care and clinical trial design.
2019
Pubblicato
Rilevanza internazionale
Articolo
Esperti anonimi
Settore FIS/07 - FISICA APPLICATA (A BENI CULTURALI, AMBIENTALI, BIOLOGIA E MEDICINA)
English
Alzheimer's disease; Amyloid PET; Classification and regression trees (CART); Machine learning; Plasma amyloid β; Simoa immunoassay; Subjective memory complainers
http://www.elsevier.com/wps/find/journaldescription.cws_home/704180/description#description
Vergallo, A., Megret, L., Lista, S., Cavedo, E., Zetterberg, H., Blennow, K., et al. (2019). Plasma amyloid β 40/42 ratio predicts cerebral amyloidosis in cognitively normal individuals at risk for Alzheimer's disease. ALZHEIMER'S & DEMENTIA, 15(6), 764-775 [10.1016/j.jalz.2019.03.009].
Vergallo, A; Megret, L; Lista, S; Cavedo, E; Zetterberg, H; Blennow, K; Vanmechelen, E; De Vos, A; Habert, M-; Potier, M-; Dubois, B; Neri, C; Hampel,...espandi
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/232520
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