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| dc.contributor.author | Pérez-Grijalba, Virginia | |
| dc.contributor.author | Arbizu, Javier | |
| dc.contributor.author | Romero, Judith | |
| dc.contributor.author | Prieto, Elena | |
| dc.contributor.author | Pesini, Pedro | |
| dc.contributor.author | Sarasa, Leticia | |
| dc.contributor.author | Guillén, Fernando | |
| dc.contributor.author | Monleon, Inmaculada | |
| dc.contributor.author | San-Jose, Itziar | |
| dc.contributor.author | Martínez-Lage, Pablo | |
| dc.contributor.author | Munuera, Josep | |
| dc.contributor.author | Hernández, Isabel | |
| dc.contributor.author | Buendía, Mar | |
| dc.contributor.author | Sotolongo-Grau, Oscar | |
| dc.contributor.author | Alegret, Montserrat | |
| dc.contributor.author | Ruiz, Agustín | |
| dc.contributor.author | Tarraga, Lluis | |
| dc.contributor.author | Boada, Merce | |
| dc.contributor.author | Sarasa, Manuel | |
| dc.contributor.author | Goni, Miguel | |
| dc.contributor.author | Pujadas, Francesc | |
| dc.contributor.author | Villarejo, Alberto | |
| dc.contributor.author | Frank, Ana | |
| dc.contributor.author | Peña-Casanova, Jordi | |
| dc.contributor.author | Fernández, Manuel | |
| dc.contributor.author | Pinol, Gerard | |
| dc.contributor.author | Blesa, Rafael | |
| dc.contributor.author | Gil, Pedro | |
| dc.contributor.author | Pascual, Luis-F | |
| dc.contributor.author | Aguilar, Miquel | |
| dc.contributor.author | Frisoni, Giovanni-B | |
| dc.contributor.author | Matias-Guiu, Jorge | |
| dc.contributor.author | Andreasen, Niels | |
| dc.contributor.author | Antúnez-Almagro, Carmen | |
| dc.date.accessioned | 2026-01-22T07:32:04Z | |
| dc.date.available | 2026-01-22T07:32:04Z | |
| dc.date.issued | 2019-12-01 | |
| dc.identifier.citation | The AB255 Study Group, Pérez-Grijalba V, Arbizu J, Romero J, Prieto E, Pesini P, et al. Plasma A?42/40 ratio alone or combined with FDG-PET can accurately predict amyloid-PET positivity: a cross-sectional analysis from the AB255 Study. Alz Res Therapy. diciembre de 2019;11(1):96. | |
| dc.identifier.uri | https://sms.carm.es/ricsmur/handle/123456789/23914 | |
| dc.description.abstract | 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 (A?) levels with the presence of pathological accumulation of A? in the brain measured by amyloid-PET. Both plasma A?42/40 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 A?40 and A?42 levels in plasma (TP42/40) were quantified using ABtest kits. Subjects were dichotomized as A?-PET positive or negative, and the ability of TP42/40 to detect A?-PET positivity was assessed by logistic regression and receiver operating characteristic analyses. Combination of plasma A? biomarkers and FDG-PET was further assessed as an improvement for brain amyloidosis detection and diagnosis classification. RESULTS: Eighteen (30.5%) subjects were A?-PET positive. TP42/40 ratio alone identified A?-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 A?-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 A?-PET scans by 64%. Combination of both FDG-PET scores and plasma A? biomarkers was found to be the most accurate A?-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 A? positivity in preclinical and prodromal stages of Alzheimer's disease. | |
| dc.language.iso | eng | |
| dc.publisher | BMC | |
| dc.rights | Atribución/Reconocimiento-NoComercial-CompartirIgual 4.0 Internacional | |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc-sa/4.0/deed.es | * |
| dc.subject.mesh | Aged | |
| dc.subject.mesh | Aged, 80 and over | |
| dc.subject.mesh | Alzheimer Disease/diagnosis/diagnostic imaging/metabolism | |
| dc.subject.mesh | Amyloid/metabolism | |
| dc.subject.mesh | Amyloid beta-Peptides/blood/metabolism | |
| dc.subject.mesh | Cognitive Dysfunction/diagnosis/diagnostic imaging/metabolism | |
| dc.subject.mesh | Cross-Sectional Studies | |
| dc.subject.mesh | Female | |
| dc.subject.mesh | Fluorodeoxyglucose F18 | |
| dc.subject.mesh | Humans | |
| dc.subject.mesh | Longitudinal Studies | |
| dc.subject.mesh | Male | |
| dc.subject.mesh | Peptide Fragments/blood/metabolism | |
| dc.subject.mesh | Positron-Emission Tomography | |
| dc.title | Plasma Aß42/40 ratio alone or combined with FDG-PET can accurately predict amyloid-PET positivity: a cross-sectional analysis from the AB255 Study | |
| dc.type | info:eu-repo/semantics/article | |
| dc.identifier.pmid | 31787105 | |
| dc.relation.publisherversion | https://alzres.biomedcentral.com/articles/10.1186/s13195-019-0549-1 | |
| dc.type.version | info:eu-repo/semantics/publishedVersion | |
| dc.identifier.doi | 10.1186/s13195-019-0549-1 | |
| dc.journal.title | Alzheimers Research & Therapy | |
| dc.identifier.essn | 1758-9193 |