Plasma Aβ42/40 ratio alone or combined with FDG-PET can accurately predict amyloid-PET positivity: a cross-sectional analysis from the AB255 Study

Background: To facilitate population screening and clinical trials of disease-modifying therapies for Alzheimer’s disease, supportive biomarker information is necessary. This study was aimed to investigate the association of plasma amyloid-beta (Aβ) levels with the presence of pathological accumulat...

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Autores: Pérez-Grijalba, V. (Virginia)|||/items/4b203219-09b7-4caf-aed2-8786aa5d40ec, Arbizu, J. (Javier)|||/items/41665d76-74c1-4652-acb9-a98cba4ddd0b, Romero, J. (Judith)|||/items/c962dbd3-6252-48a3-b981-0afb35909317, Pesini, P. (Pedro)|||/items/97ce60ac-3cb7-4fd3-8f85-e3661ca31cc1, Sarasa, L. (Leticia)|||/items/0c8fbfac-8211-4330-8372-aa4d6e7d9c13, Guillén-Valderrama, E.F. (Edgar Fernando)|||/items/49baa399-7bfa-4ee4-ae2e-de817a075b4f, Monleón, I. (Inmaculada)|||/items/49149ed5-66e6-45fb-803a-684a4ba2e23c, San-José, I. (Itziar)|||/items/2bb25f41-bc94-499e-befc-31ba77e34d83, Martinez-Lage, P. (Pablo)|||/items/f69c6d10-9045-424c-b113-4ab53ecc558f, Munuera, J. (Josep)|||/items/3a4c8c8c-6a85-4502-bb9e-020775073b09, Hernandez, I. (I.)|||/items/1ed7125f-0fbd-41dc-a432-db4c38161677, Buendía, M. (Mar)|||/items/82b2848a-ec4c-4ed0-8584-027b2befa8fb, Sotolongo-Grau, O. (Oscar)|||/items/b389ae59-ffb7-42ec-a10d-a0d894e3466a, Alegret, M. (Montserrat)|||/items/6a0a22af-6d52-4cb8-b1a2-6dd60d90c2d2, Ruiz, A. (Agustín)|||/items/36f049d7-924c-4c6c-a9d3-d48ce6924cdf, Tárraga, L. (Lluis)|||/items/6e495018-d83d-4ade-a69c-6c38b33a1d48, Boada, M. (Mercè)|||/items/a8a133f9-74bc-441e-b058-00188fc042e2, Sarasa, M. (Manuel)|||/items/fe4d6dc7-b4c2-4a2c-ad8f-7bd675f82e88, The AB255 Study Group|||/items/a4a93c36-d2a3-44c3-b94f-5d7fab9404ca, Prieto-Azcárate, E. (Elena)|||/items/98983a2a-3ce1-471b-8174-68cd47fc9fcb
Tipo de recurso: artículo
Fecha de publicación:2019
País:España
Institución:Universidad de Navarra
Repositorio:Dadun. Depósito Académico Digital de la Universidad de Navarra
Idioma:inglés
OAI Identifier:oai:dadun.unav.edu:10171/63273
Acceso en línea:https://hdl.handle.net/10171/63273
Access Level:acceso abierto
Palabra clave:Plasma
Amyloid-beta
FDG-PET
Biomarker
Preclinical Alzheimer-™s disease
Amyloid-PET
Mild cognitive impairment
Descripción
Sumario:Background: To facilitate population screening and clinical trials of disease-modifying therapies for Alzheimer’s disease, supportive biomarker information is necessary. This study was aimed to investigate the association of plasma amyloid-beta (Aβ) levels with the presence of pathological accumulation of Aβ in the brain measured by amyloid-PET. Both plasma Aβ42/40 ratio alone or combined with an FDG-PET-based biomarker of neurodegeneration were assessed as potential AD biomarkers. Methods: We included 39 cognitively normal subjects and 20 patients with mild cognitive impairment from the AB255 Study who had undergone PiB-PET scans. Total Aβ40 and Aβ42 levels in plasma (TP42/40) were quantified using ABtest kits. Subjects were dichotomized as Aβ-PET positive or negative, and the ability of TP42/40 to detect Aβ-PET positivity was assessed by logistic regression and receiver operating characteristic analyses. Combination of plasma Aβ biomarkers and FDG-PET was further assessed as an improvement for brain amyloidosis detection and diagnosis classification. Results: Eighteen (30.5%) subjects were Aβ-PET positive. TP42/40 ratio alone identified Aβ-PET status with an area under the curve (AUC) of 0.881 (95% confidence interval [CI] = 0.779–0.982). Discriminating performance of TP42/40 to detect Aβ-PET-positive subjects yielded sensitivity and specificity values at Youden’s cutoff of 77.8% and 87.5%, respectively, with a positive predictive value of 0.732 and negative predictive value of 0.900. All these parameters improved after adjusting the model for significant covariates. Applying TP42/40 as the first screening tool in a sequential diagnostic work-up would reduce the number of Aβ-PET scans by 64%. Combination of both FDG-PET scores and plasma Aβ biomarkers was found to be the most accurate Aβ-PET predictor, with an AUC of 0.965 (95% CI = 0.913–0.100). Conclusions: Plasma TP42/40 ratio showed a relevant and significant potential as a screening tool to identify brain Aβ positivity in preclinical and prodromal stages of Alzheimer’s disease.