Cited by 187Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatmentsCancer-related cognitive impairment studies

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Plasma amyloid β 42/40 ratios as biomarkers for amyloid β cerebral deposition in cognitively normal individuals

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Fandos, Noelia, Pérez‐Grijalba, Virginia, Pesini, Pedro, Olmos, Salvador, Bossa, Matías, Villemagne, Victor L., Doecke, James, Fowler, Christopher, Masters, Colin L., Sarasa, Manuel, AIBL Research Group·2017·Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring

DOI 10.1016/j.dadm.2017.07.004PMC PMC5602863

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Abstract

Introduction: Plasma amyloid β (Aβ) peptides have been previously studied as candidate biomarkers to increase recruitment efficiency in secondary prevention clinical trials for Alzheimer's disease. Methods: Free and total Aβ42/40 plasma ratios (FP42/40 and TP42/40, respectively) were determined using ABtest assays in cognitively normal subjects from the Australian Imaging, Biomarker and Lifestyle Flagship Study. This population was followed‐up for 72 months and their cortical Aβ burden was assessed with positron emission tomography. Results: Cross‐sectional and longitudinal analyses showed an inverse association of Aβ42/40 plasma ratios and cortical Aβ burden. Optimized as a screening tool, TP42/40 reached 81% positive predictive value of high cortical Aβ burden, which represents 110% increase over the population prevalence of cortical Aβ positivity. Discussion: These findings support the use of plasma Aβ42/40 ratios as surrogate biomarkers of cortical Aβ deposition and enrichment tools, reducing the number of subjects submitted to invasive tests and, consequently, recruitment costs in clinical trials targeting cognitively normal individuals.

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Amyloid β deposition, neurodegeneration, and cognitive decline in sporadic Alzheimer's disease: a prospective cohort study
Villemagne, V. L., Burnham, S., Bourgeat, P., Brown, B., Ellis, K. A., Salvado, O., Szoeke, C., Macaulay, S. L., Martins, R., Maruff, P., et al. (2013) · The Lancet Neurology · doi:10.1016/s1474-4422(13)70044-9 · Cited by 2,279
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Rossi, E. (2021) · theses.fr (ABES) · doi:10.70675/71230be4z1955z4fafzb1b8z8ff71a4edaff
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Borcuk, C. (2021) · theses.fr (ABES) · doi:10.70675/c316f2dcz54d3z41cfzb3f5z99c7b2d3cd95 · Cited by 1
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Authors: Fandos, N., Pérez‐Grijalba, V., Pesini, P., Olmos, S., Bossa, M., Villemagne, V. L., Doecke, J., Fowler, C., Masters, C. L., Sarasa, M., & AIBL Research Group
Affiliations: R&D Department Araclon Biotech Ltd. Zaragoza Spain
Universidad de Zaragoza (ES)
The University of Melbourne (AU)
Commonwealth Scientific and Industrial Research Organisation (AU)
Corresponding author: Pesini, Pedro
ORCID: Pérez‐Grijalba, Virginia
Pesini, Pedro
Olmos, Salvador
Bossa, Matías
Villemagne, Victor L.
Doecke, James
Fowler, Christopher
Masters, Colin L.
Venue: Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring
Publisher: Wiley
Published: 2017-01
Volume: 8
Issue: 1
Pages: 179-187
ISSN: 2352-8729 (ISSN-L)
DOI: 10.1016/j.dadm.2017.07.004
PMC: PMC5602863
OpenAlex: W2750795037
Cited by: 187
References: 52
Citations by year: 2026: 9 · 2025: 20 · 2024: 22 · 2023: 27 · 2022: 20 · 2021: 32 · 2020: 23 · 2019: 18 · 2018: 16
FWCI: 12.81
Type: journal article
Language: en
Open access: gold
doi.org
Licence: cc-by-nc-nd
creativecommons.org/licenses/by-nc-nd/4.0/ (vor, 241 d)
Locations: Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring (publishedVersion, cc-by-nc-nd)
PubMed Central (publishedVersion, cc-by-nc-nd)
PubMed (publishedVersion)
Minerva Access (University of Melbourne) (submittedVersion, cc-by-nc-nd)
DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
VUBIR (Vrije Universiteit Brussel) (submittedVersion)
Topics: Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
Health Sciences › Medicine › Oncology › Cancer-related cognitive impairment studies
Keywords: amyloid-beta, Alzheimer's disease biomarkers, cognitively normal individuals, clinical trial recruitment, screening tool, positron emission tomography

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Plasma amyloid β 42/40 ratios as biomarkers for amyloid β cerebral deposition in cognitively normal individuals

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