Literature DB >> 31371569

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

Suzanne E Schindler1, James G Bollinger1, Vitaliy Ovod1, Kwasi G Mawuenyega1, Yan Li1, Brian A Gordon1, David M Holtzman1, John C Morris1, Tammie L S Benzinger1, Chengjie Xiong1, Anne M Fagan1, Randall J Bateman2.   

Abstract

OBJECTIVE: We examined whether plasma β-amyloid (Aβ)42/Aβ40, as measured by a high-precision assay, accurately diagnosed brain amyloidosis using amyloid PET or CSF p-tau181/Aβ42 as reference standards.
METHODS: Using an immunoprecipitation and liquid chromatography-mass spectrometry assay, we measured Aβ42/Aβ40 in plasma and CSF samples from 158 mostly cognitively normal individuals that were collected within 18 months of an amyloid PET scan.
RESULTS: Plasma Aβ42/Aβ40 had a high correspondence with amyloid PET status (receiver operating characteristic area under the curve [AUC] 0.88, 95% confidence interval [CI] 0.82-0.93) and CSF p-tau181/Aβ42 (AUC 0.85, 95% CI 0.79-0.92). The combination of plasma Aβ42/Aβ40, age, and APOE ε4 status had a very high correspondence with amyloid PET (AUC 0.94, 95% CI 0.90-0.97). Individuals with a negative amyloid PET scan at baseline and a positive plasma Aβ42/Aβ40 (<0.1218) had a 15-fold greater risk of conversion to amyloid PET-positive compared to individuals with a negative plasma Aβ42/Aβ40 (p = 0.01).
CONCLUSIONS: Plasma Aβ42/Aβ40, especially when combined with age and APOE ε4 status, accurately diagnoses brain amyloidosis and can be used to screen cognitively normal individuals for brain amyloidosis. Individuals with a negative amyloid PET scan and positive plasma Aβ42/Aβ40 are at increased risk for converting to amyloid PET-positive. Plasma Aβ42/Aβ40 could be used in prevention trials to screen for individuals likely to be amyloid PET-positive and at risk for Alzheimer disease dementia. CLASSIFICATION OF EVIDENCE: This study provides Class II evidence that plasma Aβ42/Aβ40 levels accurately determine amyloid PET status in cognitively normal research participants.
© 2019 American Academy of Neurology.

Entities:  

Mesh:

Substances:

Year:  2019        PMID: 31371569      PMCID: PMC6946467          DOI: 10.1212/WNL.0000000000008081

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


  40 in total

1.  "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician.

Authors:  M F Folstein; S E Folstein; P R McHugh
Journal:  J Psychiatr Res       Date:  1975-11       Impact factor: 4.791

2.  Levels of evidence: Taking Neurology to the next level.

Authors:  Robert A Gross; Karen C Johnston
Journal:  Neurology       Date:  2009-01-06       Impact factor: 9.910

3.  Antiamyloid therapy for Alzheimer's disease--are we on the right road?

Authors:  Eric Karran; John Hardy
Journal:  N Engl J Med       Date:  2014-01-23       Impact factor: 91.245

4.  The Centiloid Project: standardizing quantitative amyloid plaque estimation by PET.

Authors:  William E Klunk; Robert A Koeppe; Julie C Price; Tammie L Benzinger; Michael D Devous; William J Jagust; Keith A Johnson; Chester A Mathis; Davneet Minhas; Michael J Pontecorvo; Christopher C Rowe; Daniel M Skovronsky; Mark A Mintun
Journal:  Alzheimers Dement       Date:  2014-10-28       Impact factor: 21.566

5.  Partial volume correction in quantitative amyloid imaging.

Authors:  Yi Su; Tyler M Blazey; Abraham Z Snyder; Marcus E Raichle; Daniel S Marcus; Beau M Ances; Randall J Bateman; Nigel J Cairns; Patricia Aldea; Lisa Cash; Jon J Christensen; Karl Friedrichsen; Russ C Hornbeck; Angela M Farrar; Christopher J Owen; Richard Mayeux; Adam M Brickman; William Klunk; Julie C Price; Paul M Thompson; Bernadino Ghetti; Andrew J Saykin; Reisa A Sperling; Keith A Johnson; Peter R Schofield; Virginia Buckles; John C Morris; Tammie L S Benzinger
Journal:  Neuroimage       Date:  2014-12-05       Impact factor: 6.556

Review 6.  CSF and blood biomarkers for the diagnosis of Alzheimer's disease: a systematic review and meta-analysis.

Authors:  Bob Olsson; Ronald Lautner; Ulf Andreasson; Annika Öhrfelt; Erik Portelius; Maria Bjerke; Mikko Hölttä; Christoffer Rosén; Caroline Olsson; Gabrielle Strobel; Elizabeth Wu; Kelly Dakin; Max Petzold; Kaj Blennow; Henrik Zetterberg
Journal:  Lancet Neurol       Date:  2016-04-08       Impact factor: 44.182

7.  Alzheimer disease in the United States (2010-2050) estimated using the 2010 census.

Authors:  Liesi E Hebert; Jennifer Weuve; Paul A Scherr; Denis A Evans
Journal:  Neurology       Date:  2013-02-06       Impact factor: 9.910

8.  The A4 study: stopping AD before symptoms begin?

Authors:  Reisa A Sperling; Dorene M Rentz; Keith A Johnson; Jason Karlawish; Michael Donohue; David P Salmon; Paul Aisen
Journal:  Sci Transl Med       Date:  2014-03-19       Impact factor: 17.956

9.  CSF biomarkers of Alzheimer's disease concord with amyloid-β PET and predict clinical progression: A study of fully automated immunoassays in BioFINDER and ADNI cohorts.

Authors:  Oskar Hansson; John Seibyl; Erik Stomrud; Henrik Zetterberg; John Q Trojanowski; Tobias Bittner; Valeria Lifke; Veronika Corradini; Udo Eichenlaub; Richard Batrla; Katharina Buck; Katharina Zink; Christina Rabe; Kaj Blennow; Leslie M Shaw
Journal:  Alzheimers Dement       Date:  2018-03-01       Impact factor: 21.566

Review 10.  Plasma amyloid beta measurements - a desired but elusive Alzheimer's disease biomarker.

Authors:  Jon B Toledo; Leslie M Shaw; John Q Trojanowski
Journal:  Alzheimers Res Ther       Date:  2013-03-08       Impact factor: 6.982

View more
  152 in total

1.  Prediction of future Alzheimer's disease dementia using plasma phospho-tau combined with other accessible measures.

Authors:  Sebastian Palmqvist; Pontus Tideman; Nicholas Cullen; Henrik Zetterberg; Kaj Blennow; Jeffery L Dage; Erik Stomrud; Shorena Janelidze; Niklas Mattsson-Carlgren; Oskar Hansson
Journal:  Nat Med       Date:  2021-05-24       Impact factor: 53.440

2.  Identifying Preclinical Alzheimer's Disease Using Everyday Driving Behavior: Proof of Concept.

Authors:  Ganesh M Babulal; Ann Johnson; Anne M Fagan; John C Morris; Catherine M Roe
Journal:  J Alzheimers Dis       Date:  2021       Impact factor: 4.472

Review 3.  Biomarkers for neurodegenerative diseases.

Authors:  Oskar Hansson
Journal:  Nat Med       Date:  2021-06-03       Impact factor: 53.440

4.  Determination of plasma β-amyloids by rolling circle amplification chemiluminescent immunoassay for noninvasive diagnosis of Alzheimer's disease.

Authors:  Danhua Wang; Yibei Dai; Xuchu Wang; Pan Yu; Shufang Qu; Zhenping Liu; Ying Cao; Lingyu Zhang; Ying Ping; Weiwei Liu; Zhihua Tao
Journal:  Mikrochim Acta       Date:  2021-01-06       Impact factor: 5.833

5.  The AT(N) framework for Alzheimer's disease in adults with Down syndrome.

Authors:  Michael S Rafii; Beau M Ances; Nicole Schupf; Sharon J Krinsky-McHale; Mark Mapstone; Wayne Silverman; Ira Lott; William Klunk; Elizabeth Head; Brad Christian; Florence Lai; H Diana Rosas; Shahid Zaman; Melissa E Petersen; Andre Strydom; Juan Fortea; Benjamin Handen; Sid O'Bryant
Journal:  Alzheimers Dement (Amst)       Date:  2020-10-27

6.  Biomarkers of Alzheimer Disease.

Authors:  Melissa M Budelier; Randall J Bateman
Journal:  J Appl Lab Med       Date:  2020-01-01

Review 7.  Apolipoprotein E and oxidative stress in brain with relevance to Alzheimer's disease.

Authors:  D Allan Butterfield; Mark P Mattson
Journal:  Neurobiol Dis       Date:  2020-02-06       Impact factor: 5.996

8.  Another step forward in blood-based diagnostics for Alzheimer's disease.

Authors:  Randall J Bateman; Nicolas R Barthélemy; Kanta Horie
Journal:  Nat Med       Date:  2020-03       Impact factor: 53.440

9.  Diagnostic performance and prediction of clinical progression of plasma phospho-tau181 in the Alzheimer's Disease Neuroimaging Initiative.

Authors:  Thomas K Karikari; Andréa L Benedet; Nicholas J Ashton; Juan Lantero Rodriguez; Anniina Snellman; Marc Suárez-Calvet; Paramita Saha-Chaudhuri; Firoza Lussier; Hlin Kvartsberg; Alexis Moscoso Rial; Tharick A Pascoal; Ulf Andreasson; Michael Schöll; Michael W Weiner; Pedro Rosa-Neto; John Q Trojanowski; Leslie M Shaw; Kaj Blennow; Henrik Zetterberg
Journal:  Mol Psychiatry       Date:  2020-10-26       Impact factor: 15.992

Review 10.  Biomarkers for Alzheimer's disease-preparing for a new era of disease-modifying therapies.

Authors:  Henrik Zetterberg; Barbara B Bendlin
Journal:  Mol Psychiatry       Date:  2020-04-06       Impact factor: 15.992

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.