Literature DB >> 33479777

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

Ashvini Keshavan1, Josef Pannee2, Thomas K Karikari2, Juan Lantero Rodriguez2, Nicholas J Ashton2,3,4,5, Jennifer M Nicholas1,6, David M Cash1, William Coath1, Christopher A Lane1, Thomas D Parker1, Kirsty Lu1, Sarah M Buchanan1, Sarah E Keuss1, Sarah-Naomi James7, Heidi Murray-Smith1, Andrew Wong7, Anna Barnes8, John C Dickson8, Amanda Heslegrave9, Erik Portelius2, Marcus Richards7, Nick C Fox1, Henrik Zetterberg2,9, Kaj Blennow2, Jonathan M Schott1.   

Abstract

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 18F-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-β42/40 (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-β1-42/1-40: 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-β1-42/1-40 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-β1-42/1-40 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-β1-42/1-40 would consistently reduce the numbers proceeding to scans, with greater cost savings demonstrated at lower prevalence.
© The Author(s) (2021). Published by Oxford University Press on behalf of the Guarantors of Brain.

Entities:  

Keywords:  Alzheimer’s disease; amyloid imaging; beta-amyloid; dementia; epidemiology; tau

Mesh:

Substances:

Year:  2021        PMID: 33479777      PMCID: PMC7940173          DOI: 10.1093/brain/awaa403

Source DB:  PubMed          Journal:  Brain        ISSN: 0006-8950            Impact factor:   13.501


  43 in total

1.  High performance plasma amyloid-β biomarkers for Alzheimer's disease.

Authors:  Akinori Nakamura; Naoki Kaneko; Victor L Villemagne; Takashi Kato; James Doecke; Vincent Doré; Chris Fowler; Qiao-Xin Li; Ralph Martins; Christopher Rowe; Taisuke Tomita; Katsumi Matsuzaki; Kenji Ishii; Kazunari Ishii; Yutaka Arahata; Shinichi Iwamoto; Kengo Ito; Koichi Tanaka; Colin L Masters; Katsuhiko Yanagisawa
Journal:  Nature       Date:  2018-01-31       Impact factor: 49.962

2.  Diagnostic and prognostic value of serum NfL and p-Tau181 in frontotemporal lobar degeneration.

Authors:  Alberto Benussi; Thomas K Karikari; Nicholas Ashton; Stefano Gazzina; Enrico Premi; Luisa Benussi; Roberta Ghidoni; Juan Lantero Rodriguez; Andreja Emeršič; Joel Simrén; Giuliano Binetti; Silvia Fostinelli; Marcello Giunta; Roberto Gasparotti; Henrik Zetterberg; Kaj Blennow; Barbara Borroni
Journal:  J Neurol Neurosurg Psychiatry       Date:  2020-07-01       Impact factor: 10.154

3.  Development of a psychometrically equivalent short form of the Face-Name Associative Memory Exam for use along the early Alzheimer's disease trajectory.

Authors:  Kathryn V Papp; Rebecca E Amariglio; Maria Dekhtyar; Kamolika Roy; Sarah Wigman; Rose Bamfo; Julia Sherman; Reisa A Sperling; Dorene M Rentz
Journal:  Clin Neuropsychol       Date:  2014-05-12       Impact factor: 3.535

4.  Cerebrospinal fluid Aβ1-40 improves differential dementia diagnosis in patients with intermediate P-tau181P levels.

Authors:  Sylvie Slaets; Nathalie Le Bastard; Jean-Jacques Martin; Kristel Sleegers; Christine Van Broeckhoven; Peter Paul De Deyn; Sebastiaan Engelborghs
Journal:  J Alzheimers Dis       Date:  2013       Impact factor: 4.472

5.  Appropriate use criteria for lumbar puncture and cerebrospinal fluid testing in the diagnosis of Alzheimer's disease.

Authors:  Leslie M Shaw; Jalayne Arias; Kaj Blennow; Douglas Galasko; Jose Luis Molinuevo; Stephen Salloway; Suzanne Schindler; Maria C Carrillo; James A Hendrix; April Ross; Judit Illes; Courtney Ramus; Sheila Fifer
Journal:  Alzheimers Dement       Date:  2018-10-10       Impact factor: 16.655

6.  Accurate automatic estimation of total intracranial volume: a nuisance variable with less nuisance.

Authors:  Ian B Malone; Kelvin K Leung; Shona Clegg; Josephine Barnes; Jennifer L Whitwell; John Ashburner; Nick C Fox; Gerard R Ridgway
Journal:  Neuroimage       Date:  2014-10-01       Impact factor: 6.556

7.  Study protocol: Insight 46 - a neuroscience sub-study of the MRC National Survey of Health and Development.

Authors:  Christopher A Lane; Thomas D Parker; Dave M Cash; Kirsty Macpherson; Elizabeth Donnachie; Heidi Murray-Smith; Anna Barnes; Suzie Barker; Daniel G Beasley; Jose Bras; David Brown; Ninon Burgos; Michelle Byford; M Jorge Cardoso; Ana Carvalho; Jessica Collins; Enrico De Vita; John C Dickson; Norah Epie; Miklos Espak; Susie M D Henley; Chandrashekar Hoskote; Michael Hutel; Jana Klimova; Ian B Malone; Pawel Markiewicz; Andrew Melbourne; Marc Modat; Anette Schrag; Sachit Shah; Nikhil Sharma; Carole H Sudre; David L Thomas; Andrew Wong; Hui Zhang; John Hardy; Henrik Zetterberg; Sebastien Ourselin; Sebastian J Crutch; Diana Kuh; Marcus Richards; Nick C Fox; Jonathan M Schott
Journal:  BMC Neurol       Date:  2017-04-18       Impact factor: 2.474

8.  Apolipoprotein-E (Apoe) ε4 and cognitive decline over the adult life course.

Authors:  Mark James Rawle; Daniel Davis; Rebecca Bendayan; Andrew Wong; Diana Kuh; Marcus Richards
Journal:  Transl Psychiatry       Date:  2018-01-10       Impact factor: 6.222

9.  High-precision plasma β-amyloid 42/40 predicts current and future brain amyloidosis.

Authors:  Suzanne E Schindler; James G Bollinger; Vitaliy Ovod; Kwasi G Mawuenyega; Yan Li; Brian A Gordon; David M Holtzman; John C Morris; Tammie L S Benzinger; Chengjie Xiong; Anne M Fagan; Randall J Bateman
Journal:  Neurology       Date:  2019-08-01       Impact factor: 11.800

10.  Cerebrospinal fluid analysis detects cerebral amyloid-β accumulation earlier than positron emission tomography.

Authors:  Sebastian Palmqvist; Niklas Mattsson; Oskar Hansson
Journal:  Brain       Date:  2016-03-02       Impact factor: 13.501

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  23 in total

Review 1.  Blood phospho-tau in Alzheimer disease: analysis, interpretation, and clinical utility.

Authors:  Thomas K Karikari; Nicholas J Ashton; Gunnar Brinkmalm; Wagner S Brum; Andréa L Benedet; Laia Montoliu-Gaya; Juan Lantero-Rodriguez; Tharick Ali Pascoal; Marc Suárez-Calvet; Pedro Rosa-Neto; Kaj Blennow; Henrik Zetterberg
Journal:  Nat Rev Neurol       Date:  2022-05-18       Impact factor: 44.711

Review 2.  Promising Blood Biomarkers for Clinical Use in Alzheimer's Disease: A Focused Update.

Authors:  Sun Ah Park; Yu Jung Jang; Min Kyoung Kim; Sun Min Lee; So Young Moon
Journal:  J Clin Neurol       Date:  2022-07       Impact factor: 2.566

Review 3.  Biofluid-based biomarkers for Alzheimer's disease-related pathologies: An update and synthesis of the literature.

Authors:  Henrik Zetterberg
Journal:  Alzheimers Dement       Date:  2022-02-25       Impact factor: 16.655

4.  Plasma amyloid beta, neurofilament light chain, and total tau in the Systolic Blood Pressure Intervention Trial (SPRINT).

Authors:  Nicholas M Pajewski; Fanny M Elahi; Manjula Kurella Tamura; Jason D Hinman; Ilya M Nasrallah; Joachim H Ix; Lindsay M Miller; Lenore J Launer; Clinton B Wright; Mark A Supiano; Alan J Lerner; Tiffany L Sudduth; Anthony A Killeen; Alfred K Cheung; David M Reboussin; Donna M Wilcock; Jeff D Williamson
Journal:  Alzheimers Dement       Date:  2021-11-17       Impact factor: 16.655

5.  Consideration of sex and gender in Alzheimer's disease and related disorders from a global perspective.

Authors:  Michelle M Mielke; Neelum T Aggarwal; Clara Vila-Castelar; Puja Agarwal; Eider M Arenaza-Urquijo; Benjamin Brett; Anna Brugulat-Serrat; Lyndsey E DuBose; Willem S Eikelboom; Jason Flatt; Nancy S Foldi; Sanne Franzen; Paola Gilsanz; Wei Li; Alison J McManus; Debora Melo van Lent; Sadaf Arefi Milani; C Elizabeth Shaaban; Shana D Stites; Erin Sundermann; Vidyani Suryadevara; Jean-Francoise Trani; Arlener D Turner; Jet M J Vonk; Yakeel T Quiroz; Ganesh M Babulal
Journal:  Alzheimers Dement       Date:  2022-04-08       Impact factor: 16.655

Review 6.  State-of-the-Art Methods and Emerging Fluid Biomarkers in the Diagnostics of Dementia-A Short Review and Diagnostic Algorithm.

Authors:  Eino Solje; Alberto Benussi; Emanuele Buratti; Anne M Remes; Annakaisa Haapasalo; Barbara Borroni
Journal:  Diagnostics (Basel)       Date:  2021-04-27

7.  Associations of amyloid and neurodegeneration plasma biomarkers with comorbidities.

Authors:  Jeremy A Syrjanen; Michelle R Campbell; Alicia Algeciras-Schimnich; Prashanthi Vemuri; Jonathan Graff-Radford; Mary M Machulda; Guojun Bu; David S Knopman; Clifford R Jack; Ronald C Petersen; Michelle M Mielke
Journal:  Alzheimers Dement       Date:  2021-09-27       Impact factor: 16.655

8.  Ultrasensitive assays for detection of plasma tau and phosphorylated tau 181 in Alzheimer's disease: a systematic review and meta-analysis.

Authors:  Xulong Ding; Shuting Zhang; Lijun Jiang; Lu Wang; Tao Li; Peng Lei
Journal:  Transl Neurodegener       Date:  2021-03-12       Impact factor: 8.014

Review 9.  Mass spectrometry-based methods for robust measurement of Alzheimer's disease biomarkers in biological fluids.

Authors:  Magdalena Korecka; Leslie M Shaw
Journal:  J Neurochem       Date:  2021-08-25       Impact factor: 5.546

10.  Lipid Peroxidation Assessment in Preclinical Alzheimer Disease Diagnosis.

Authors:  Carmen Peña-Bautista; Lourdes Álvarez-Sánchez; Inés Ferrer; Marina López-Nogueroles; Antonio José Cañada-Martínez; Camille Oger; Jean-Marie Galano; Thierry Durand; Miguel Baquero; Consuelo Cháfer-Pericás
Journal:  Antioxidants (Basel)       Date:  2021-06-29
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