Literature DB >> 34906975

Validation of Plasma Amyloid-β 42/40 for Detecting Alzheimer Disease Amyloid Plaques.

Yan Li1, Suzanne E Schindler1, James G Bollinger1, Vitaliy Ovod1, Kwasi G Mawuenyega1, Michael W Weiner1, Leslie M Shaw1, Colin L Masters1, Christopher J Fowler1, John Q Trojanowski1, Magdalena Korecka1, Ralph N Martins1, Shorena Janelidze1, Oskar Hansson1, Randall J Bateman2.   

Abstract

BACKGROUND AND OBJECTIVES: To determine the diagnostic accuracy of a plasma Aβ42/Aβ40 assay in classifying amyloid PET status across global research studies using samples collected by multiple centers that utilize different blood collection and processing protocols.
METHODS: Plasma samples (n = 465) were obtained from 3 large Alzheimer disease (AD) research cohorts in the United States (n = 182), Australia (n = 183), and Sweden (n = 100). Plasma Aβ42/Aβ40 was measured by a high precision immunoprecipitation mass spectrometry (IPMS) assay and compared to the reference standards of amyloid PET and CSF Aβ42/Aβ40.
RESULTS: In the combined cohort of 465 participants, plasma Aβ42/Aβ40 had good concordance with amyloid PET status (receiver operating characteristic area under the curve [AUC] 0.84, 95% confidence interval [CI] 0.80-0.87); concordance improved with the inclusion of APOE ε4 carrier status (AUC 0.88, 95% CI 0.85-0.91). The AUC of plasma Aβ42/Aβ40 with CSF amyloid status was 0.85 (95% CI 0.78-0.91) and improved to 0.93 (95% CI 0.89-0.97) with APOE ε4 status. These findings were consistent across the 3 cohorts, despite differences in protocols. The assay performed similarly in both cognitively unimpaired and impaired individuals. DISCUSSION: Plasma Aβ42/Aβ40 is a robust measure for detecting amyloid plaques and can be utilized to aid in the diagnosis of AD, identify those at risk for future dementia due to AD, and improve the diversity of populations enrolled in AD research and clinical trials. CLASSIFICATION OF EVIDENCE: This study provides Class II evidence that plasma Aβ42/Aβ40, as measured by a high precision IPMS assay, accurately diagnoses brain amyloidosis in both cognitively unimpaired and impaired research participants.
© 2021 American Academy of Neurology.

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Year:  2021        PMID: 34906975      PMCID: PMC8865895          DOI: 10.1212/WNL.0000000000013211

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   11.800


  48 in total

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Authors:  Pierrick Bourgeat; Vincent Doré; Jurgen Fripp; David Ames; Colin L Masters; Olivier Salvado; Victor L Villemagne; Christopher C Rowe
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2.  Assessment of Racial Disparities in Biomarkers for Alzheimer Disease.

Authors:  John C Morris; Suzanne E Schindler; Lena M McCue; Krista L Moulder; Tammie L S Benzinger; Carlos Cruchaga; Anne M Fagan; Elizabeth Grant; Brian A Gordon; David M Holtzman; Chengjie Xiong
Journal:  JAMA Neurol       Date:  2019-03-01       Impact factor: 18.302

Review 3.  Cerebrospinal fluid and plasma biomarkers in Alzheimer disease.

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Journal:  Nat Rev Neurol       Date:  2010-02-16       Impact factor: 42.937

4.  Alzheimer's Disease Normative Cerebrospinal Fluid Biomarkers Validated in PET Amyloid-β Characterized Subjects from the Australian Imaging, Biomarkers and Lifestyle (AIBL) study.

Authors:  Qiao-Xin Li; Victor L Villemagne; James D Doecke; Alan Rembach; Shannon Sarros; Shiji Varghese; Amelia McGlade; Katrina M Laughton; Kelly K Pertile; Christopher J Fowler; Rebecca L Rumble; Brett O Trounson; Kevin Taddei; Stephanie R Rainey-Smith; Simon M Laws; Joanne S Robertson; Lisbeth A Evered; Brendan Silbert; Kathryn A Ellis; Christopher C Rowe; S Lance Macaulay; David Darby; Ralph N Martins; David Ames; Colin L Masters; Steven Collins
Journal:  J Alzheimers Dis       Date:  2015       Impact factor: 4.472

5.  Performance and complications of lumbar puncture in memory clinics: Results of the multicenter lumbar puncture feasibility study.

Authors:  Flora H Duits; Pablo Martinez-Lage; Claire Paquet; Sebastiaan Engelborghs; Alberto Lleó; Lucrezia Hausner; José L Molinuevo; Erik Stomrud; Lucia Farotti; Inez H G B Ramakers; Magda Tsolaki; Constance Skarsgård; Ragnar Åstrand; Anders Wallin; Martin Vyhnalek; Marie Holmber-Clausen; Orestes V Forlenza; Laura Ghezzi; Martin Ingelsson; Erik I Hoff; Gerwin Roks; Alexandre de Mendonça; Janne M Papma; Andrea Izagirre; Mariko Taga; Hanne Struyfs; Daniel A Alcolea; Lutz Frölich; Mircea Balasa; Lennart Minthon; Jos W R Twisk; Staffan Persson; Henrik Zetterberg; Wiesje M van der Flier; Charlotte E Teunissen; Philip Scheltens; Kaj Blennow
Journal:  Alzheimers Dement       Date:  2015-09-11       Impact factor: 21.566

6.  Clinical and biomarker changes in dominantly inherited Alzheimer's disease.

Authors:  Randall J Bateman; Chengjie Xiong; Tammie L S Benzinger; Anne M Fagan; Alison Goate; Nick C Fox; Daniel S Marcus; Nigel J Cairns; Xianyun Xie; Tyler M Blazey; David M Holtzman; Anna Santacruz; Virginia Buckles; Angela Oliver; Krista Moulder; Paul S Aisen; Bernardino Ghetti; William E Klunk; Eric McDade; Ralph N Martins; Colin L Masters; Richard Mayeux; John M Ringman; Martin N Rossor; Peter R Schofield; Reisa A Sperling; Stephen Salloway; John C Morris
Journal:  N Engl J Med       Date:  2012-07-11       Impact factor: 91.245

7.  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

Review 8.  NIA-AA Research Framework: Toward a biological definition of Alzheimer's disease.

Authors:  Clifford R Jack; David A Bennett; Kaj Blennow; Maria C Carrillo; Billy Dunn; Samantha Budd Haeberlein; David M Holtzman; William Jagust; Frank Jessen; Jason Karlawish; Enchi Liu; Jose Luis Molinuevo; Thomas Montine; Creighton Phelps; Katherine P Rankin; Christopher C Rowe; Philip Scheltens; Eric Siemers; Heather M Snyder; Reisa Sperling
Journal:  Alzheimers Dement       Date:  2018-04       Impact factor: 21.566

9.  A blood-based diagnostic test incorporating plasma Aβ42/40 ratio, ApoE proteotype, and age accurately identifies brain amyloid status: findings from a multi cohort validity analysis.

Authors:  Tim West; Kristopher M Kirmess; Matthew R Meyer; Mary S Holubasch; Stephanie S Knapik; Yan Hu; John H Contois; Erin N Jackson; Scott E Harpstrite; Randall J Bateman; David M Holtzman; Philip B Verghese; Ilana Fogelman; Joel B Braunstein; Kevin E Yarasheski
Journal:  Mol Neurodegener       Date:  2021-05-01       Impact factor: 14.195

10.  Plasma p-tau181, p-tau217, and other blood-based Alzheimer's disease biomarkers in a multi-ethnic, community study.

Authors:  Adam M Brickman; Jennifer J Manly; Lawrence S Honig; Danurys Sanchez; Dolly Reyes-Dumeyer; Rafael A Lantigua; Patrick J Lao; Yaakov Stern; Jean Paul Vonsattel; Andrew F Teich; David C Airey; Nicholas Kyle Proctor; Jeffrey L Dage; Richard Mayeux
Journal:  Alzheimers Dement       Date:  2021-02-13       Impact factor: 21.566

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  5 in total

Review 1.  Development of Alzheimer's Disease Biomarkers: From CSF- to Blood-Based Biomarkers.

Authors:  Sakulrat Mankhong; Sujin Kim; Seongju Lee; Hyo-Bum Kwak; Dong-Ho Park; Kyung-Lim Joa; Ju-Hee Kang
Journal:  Biomedicines       Date:  2022-04-05

2.  Plasma biomarkers and their correlation in adult children of parents with Alzheimer's disease.

Authors:  Ling-Chun Huang; Ming-Hui Chen; Chih-Pin Chuu; Kuan-Ying Li; Tzyh-Chyuan Hour; Yuan-Han Yang
Journal:  Front Aging Neurosci       Date:  2022-08-30       Impact factor: 5.702

3.  Plasma Amyloid-β dynamics in late-life major depression: a longitudinal study.

Authors:  Nunzio Pomara; Davide Bruno; Chelsea Reichert Plaska; Jaime Ramos-Cejudo; Ricardo S Osorio; Anilkumar Pillai; Bruno P Imbimbo; Henrik Zetterberg; Kaj Blennow
Journal:  Transl Psychiatry       Date:  2022-07-28       Impact factor: 7.989

4.  Characterizing Plasma Biomarkers of Alzheimer's in a Diverse Community-Based Cohort: A Cross-Sectional Study of the HAB-HD Cohort.

Authors:  James R Hall; Melissa Petersen; Leigh Johnson; Sid E O'Bryant
Journal:  Front Neurol       Date:  2022-08-18       Impact factor: 4.086

5.  Classification accuracy of blood-based and neurophysiological markers in the differential diagnosis of Alzheimer's disease and frontotemporal lobar degeneration.

Authors:  Alberto Benussi; Valentina Cantoni; Jasmine Rivolta; Silvana Archetti; Anna Micheli; Nicholas Ashton; Henrik Zetterberg; Kaj Blennow; Barbara Borroni
Journal:  Alzheimers Res Ther       Date:  2022-10-13       Impact factor: 8.823

  5 in total

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