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Population-based blood screening for preclinical Alzheimer’s disease in a British birth cohort at age 70

Alzheimer’s disease has a preclinical stage when cerebral amyloid-β deposition occurs before symptoms emerge, and when amyloid-β-targeted therapies may have maximum benefits. Existing amyloid-β status measurement techniques, including amyloid PET and CSF testing, are difficult to deploy at scale, so...

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Autores principales: Keshavan, Ashvini, Pannee, Josef, Karikari, Thomas K, Rodriguez, Juan Lantero, Ashton, Nicholas J, Nicholas, Jennifer M, Cash, David M, Coath, William, Lane, Christopher A, Parker, Thomas D, Lu, Kirsty, Buchanan, Sarah M, Keuss, Sarah E, James, Sarah-Naomi, Murray-Smith, Heidi, Wong, Andrew, Barnes, Anna, Dickson, John C, Heslegrave, Amanda, Portelius, Erik, Richards, Marcus, Fox, Nick C, Zetterberg, Henrik, Blennow, Kaj, Schott, Jonathan M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7940173/
https://www.ncbi.nlm.nih.gov/pubmed/33479777
http://dx.doi.org/10.1093/brain/awaa403
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author Keshavan, Ashvini
Pannee, Josef
Karikari, Thomas K
Rodriguez, Juan Lantero
Ashton, Nicholas J
Nicholas, Jennifer M
Cash, David M
Coath, William
Lane, Christopher A
Parker, Thomas D
Lu, Kirsty
Buchanan, Sarah M
Keuss, Sarah E
James, Sarah-Naomi
Murray-Smith, Heidi
Wong, Andrew
Barnes, Anna
Dickson, John C
Heslegrave, Amanda
Portelius, Erik
Richards, Marcus
Fox, Nick C
Zetterberg, Henrik
Blennow, Kaj
Schott, Jonathan M
author_facet Keshavan, Ashvini
Pannee, Josef
Karikari, Thomas K
Rodriguez, Juan Lantero
Ashton, Nicholas J
Nicholas, Jennifer M
Cash, David M
Coath, William
Lane, Christopher A
Parker, Thomas D
Lu, Kirsty
Buchanan, Sarah M
Keuss, Sarah E
James, Sarah-Naomi
Murray-Smith, Heidi
Wong, Andrew
Barnes, Anna
Dickson, John C
Heslegrave, Amanda
Portelius, Erik
Richards, Marcus
Fox, Nick C
Zetterberg, Henrik
Blennow, Kaj
Schott, Jonathan M
author_sort Keshavan, Ashvini
collection PubMed
description Alzheimer’s disease has a preclinical stage when cerebral amyloid-β deposition occurs before symptoms emerge, and when amyloid-β-targeted therapies may have maximum benefits. Existing amyloid-β status measurement techniques, including amyloid PET and CSF testing, are difficult to deploy at scale, so blood biomarkers are increasingly considered for screening. We compared three different blood-based techniques—liquid chromatography-mass spectrometry measures of plasma amyloid-β, and single molecule array (Simoa) measures of plasma amyloid-β and phospho-tau181—to detect cortical (18)F-florbetapir amyloid PET positivity (defined as a standardized uptake value ratio of >0.61 between a predefined cortical region of interest and eroded subcortical white matter) in dementia-free members of Insight 46, a substudy of the population-based British 1946 birth cohort. We used logistic regression models with blood biomarkers as predictors of amyloid PET status, with or without age, sex and APOE ε4 carrier status as covariates. We generated receiver operating characteristics curves and quantified areas under the curves to compare the concordance of the different blood tests with amyloid PET. We determined blood test cut-off points using Youden’s index, then estimated numbers needed to screen to obtain 100 amyloid PET-positive individuals. Of the 502 individuals assessed, 441 dementia-free individuals with complete data were included; 82 (18.6%) were amyloid PET-positive. The area under the curve for amyloid PET status using a base model comprising age, sex and APOE ε4 carrier status was 0.695 (95% confidence interval: 0.628–0.762). The two best-performing Simoa plasma biomarkers were amyloid-β(42/40) (0.620; 0.548–0.691) and phospho-tau181 (0.707; 0.646–0.768), but neither outperformed the base model. Mass spectrometry plasma measures performed significantly better than any other measure (amyloid-β(1-42/1-40): 0.817; 0.770–0.864 and amyloid-β composite: 0.820; 0.775–0.866). At a cut-off point of 0.095, mass spectrometry measures of amyloid-β(1-42/1-40) detected amyloid PET positivity with 86.6% sensitivity and 71.9% specificity. Without screening, to obtain 100 PET-positive individuals from a population with similar amyloid PET positivity prevalence to Insight 46, 543 PET scans would need to be performed. Screening using age, sex and APOE ε4 status would require 940 individuals, of whom 266 would proceed to scan. Using mass spectrometry amyloid-β(1-42/1-40) alone would reduce these numbers to 623 individuals and 243 individuals, respectively. Across a theoretical range of amyloid PET positivity prevalence of 10–50%, mass spectrometry measures of amyloid-β(1-42/1-40) would consistently reduce the numbers proceeding to scans, with greater cost savings demonstrated at lower prevalence.
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spelling pubmed-79401732021-03-12 Population-based blood screening for preclinical Alzheimer’s disease in a British birth cohort at age 70 Keshavan, Ashvini Pannee, Josef Karikari, Thomas K Rodriguez, Juan Lantero Ashton, Nicholas J Nicholas, Jennifer M Cash, David M Coath, William Lane, Christopher A Parker, Thomas D Lu, Kirsty Buchanan, Sarah M Keuss, Sarah E James, Sarah-Naomi Murray-Smith, Heidi Wong, Andrew Barnes, Anna Dickson, John C Heslegrave, Amanda Portelius, Erik Richards, Marcus Fox, Nick C Zetterberg, Henrik Blennow, Kaj Schott, Jonathan M Brain Original Articles Alzheimer’s disease has a preclinical stage when cerebral amyloid-β deposition occurs before symptoms emerge, and when amyloid-β-targeted therapies may have maximum benefits. Existing amyloid-β status measurement techniques, including amyloid PET and CSF testing, are difficult to deploy at scale, so blood biomarkers are increasingly considered for screening. We compared three different blood-based techniques—liquid chromatography-mass spectrometry measures of plasma amyloid-β, and single molecule array (Simoa) measures of plasma amyloid-β and phospho-tau181—to detect cortical (18)F-florbetapir amyloid PET positivity (defined as a standardized uptake value ratio of >0.61 between a predefined cortical region of interest and eroded subcortical white matter) in dementia-free members of Insight 46, a substudy of the population-based British 1946 birth cohort. We used logistic regression models with blood biomarkers as predictors of amyloid PET status, with or without age, sex and APOE ε4 carrier status as covariates. We generated receiver operating characteristics curves and quantified areas under the curves to compare the concordance of the different blood tests with amyloid PET. We determined blood test cut-off points using Youden’s index, then estimated numbers needed to screen to obtain 100 amyloid PET-positive individuals. Of the 502 individuals assessed, 441 dementia-free individuals with complete data were included; 82 (18.6%) were amyloid PET-positive. The area under the curve for amyloid PET status using a base model comprising age, sex and APOE ε4 carrier status was 0.695 (95% confidence interval: 0.628–0.762). The two best-performing Simoa plasma biomarkers were amyloid-β(42/40) (0.620; 0.548–0.691) and phospho-tau181 (0.707; 0.646–0.768), but neither outperformed the base model. Mass spectrometry plasma measures performed significantly better than any other measure (amyloid-β(1-42/1-40): 0.817; 0.770–0.864 and amyloid-β composite: 0.820; 0.775–0.866). At a cut-off point of 0.095, mass spectrometry measures of amyloid-β(1-42/1-40) detected amyloid PET positivity with 86.6% sensitivity and 71.9% specificity. Without screening, to obtain 100 PET-positive individuals from a population with similar amyloid PET positivity prevalence to Insight 46, 543 PET scans would need to be performed. Screening using age, sex and APOE ε4 status would require 940 individuals, of whom 266 would proceed to scan. Using mass spectrometry amyloid-β(1-42/1-40) alone would reduce these numbers to 623 individuals and 243 individuals, respectively. Across a theoretical range of amyloid PET positivity prevalence of 10–50%, mass spectrometry measures of amyloid-β(1-42/1-40) would consistently reduce the numbers proceeding to scans, with greater cost savings demonstrated at lower prevalence. Oxford University Press 2021-01-22 /pmc/articles/PMC7940173/ /pubmed/33479777 http://dx.doi.org/10.1093/brain/awaa403 Text en © The Author(s) (2021). Published by Oxford University Press on behalf of the Guarantors of Brain. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Keshavan, Ashvini
Pannee, Josef
Karikari, Thomas K
Rodriguez, Juan Lantero
Ashton, Nicholas J
Nicholas, Jennifer M
Cash, David M
Coath, William
Lane, Christopher A
Parker, Thomas D
Lu, Kirsty
Buchanan, Sarah M
Keuss, Sarah E
James, Sarah-Naomi
Murray-Smith, Heidi
Wong, Andrew
Barnes, Anna
Dickson, John C
Heslegrave, Amanda
Portelius, Erik
Richards, Marcus
Fox, Nick C
Zetterberg, Henrik
Blennow, Kaj
Schott, Jonathan M
Population-based blood screening for preclinical Alzheimer’s disease in a British birth cohort at age 70
title Population-based blood screening for preclinical Alzheimer’s disease in a British birth cohort at age 70
title_full Population-based blood screening for preclinical Alzheimer’s disease in a British birth cohort at age 70
title_fullStr Population-based blood screening for preclinical Alzheimer’s disease in a British birth cohort at age 70
title_full_unstemmed Population-based blood screening for preclinical Alzheimer’s disease in a British birth cohort at age 70
title_short Population-based blood screening for preclinical Alzheimer’s disease in a British birth cohort at age 70
title_sort population-based blood screening for preclinical alzheimer’s disease in a british birth cohort at age 70
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7940173/
https://www.ncbi.nlm.nih.gov/pubmed/33479777
http://dx.doi.org/10.1093/brain/awaa403
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