Literature DB >> 26401938

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

Qiao-Xin Li1, Victor L Villemagne1,2, James D Doecke3, Alan Rembach1, Shannon Sarros1, Shiji Varghese1, Amelia McGlade1, Katrina M Laughton1, Kelly K Pertile1, Christopher J Fowler1, Rebecca L Rumble1, Brett O Trounson1, Kevin Taddei4,5, Stephanie R Rainey-Smith4,5, Simon M Laws4,5, Joanne S Robertson1, Lisbeth A Evered6, Brendan Silbert6, Kathryn A Ellis1,7, Christopher C Rowe1,2, S Lance Macaulay8, David Darby1, Ralph N Martins4,5,9, David Ames7,10, Colin L Masters1, Steven Collins1,11.   

Abstract

BACKGROUND: The cerebrospinal fluid (CSF) amyloid-β (Aβ)(1-42), total-tau (T-tau), and phosphorylated-tau (P-tau181P) profile has been established as a valuable biomarker for Alzheimer's disease (AD).
OBJECTIVE: The current study aimed to determine CSF biomarker cut-points using positron emission tomography (PET) Aβ imaging screened subjects from the Australian Imaging, Biomarkers and Lifestyle (AIBL) study of aging, as well as correlate CSF analyte cut-points across a range of PET Aβ amyloid ligands.
METHODS: Aβ pathology was determined by PET imaging, utilizing ¹¹C-Pittsburgh Compound B, ¹⁸F-flutemetamol, or ¹⁸F-florbetapir, in 157 AIBL participants who also underwent CSF collection. Using an INNOTEST assay, cut-points were established (Aβ(1-42) >544 ng/L, T-tau <407 ng/L, and P-tau181P <78 ng/L) employing a rank based method to define a "positive" CSF in the sub-cohort of amyloid-PET negative healthy participants (n = 97), and compared with the presence of PET demonstrated AD pathology.
RESULTS: CSF Aβ(1-42) was the strongest individual biomarker, detecting cognitively impaired PET positive mild cognitive impairment (MCI)/AD with 85% sensitivity and 91% specificity. The ratio of P-tau181P or T-tau to Aβ(1-42) provided greater accuracy, predicting MCI/AD with Aβ pathology with ≥92% sensitivity and specificity. Cross-validated accuracy, using all three biomarkers or the ratio of P-tau or T-tau to Aβ(1-42) to predict MCI/AD, reached ≥92% sensitivity and specificity.
CONCLUSIONS: CSF Aβ(1-42) levels and analyte combination ratios demonstrated very high correlation with PET Aβ imaging. Our study offers additional support for CSF biomarkers in the early and accurate detection of AD pathology, including enrichment of patient cohorts for treatment trials even at the pre-symptomatic stage.

Entities:  

Keywords:  Alzheimer’s disease; amyloid-β; cerebrospinal fluid biomarkers; positron emission tomography Aβ imaging; tau

Mesh:

Substances:

Year:  2015        PMID: 26401938     DOI: 10.3233/JAD-150247

Source DB:  PubMed          Journal:  J Alzheimers Dis        ISSN: 1387-2877            Impact factor:   4.472


  23 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.  ATN profiles among cognitively normal individuals and longitudinal cognitive outcomes.

Authors:  Anja Soldan; Corinne Pettigrew; Anne M Fagan; Suzanne E Schindler; Abhay Moghekar; Christopher Fowler; Qiao-Xin Li; Steven J Collins; Cynthia Carlsson; Sanjay Asthana; Colin L Masters; Sterling Johnson; John C Morris; Marilyn Albert; Alden L Gross
Journal:  Neurology       Date:  2019-03-06       Impact factor: 9.910

3.  Concordance of Lumipulse cerebrospinal fluid t-tau/Aβ42 ratio with amyloid PET status.

Authors:  June Kaplow; Manu Vandijck; Julia Gray; Michio Kanekiyo; Els Huyck; C J Traynham; Rianne Esquivel; Anne M Fagan; Johan Luthman
Journal:  Alzheimers Dement       Date:  2020-01       Impact factor: 21.566

Review 4.  Imaging tau and amyloid-β proteinopathies in Alzheimer disease and other conditions.

Authors:  Victor L Villemagne; Vincent Doré; Samantha C Burnham; Colin L Masters; Christopher C Rowe
Journal:  Nat Rev Neurol       Date:  2018-02-16       Impact factor: 42.937

5.  Asthma amplifies dementia risk: Evidence from CSF biomarkers and cognitive decline.

Authors:  Ajay Kumar Nair; Carol A Van Hulle; Barbara B Bendlin; Henrik Zetterberg; Kaj Blennow; Norbert Wild; Gwendlyn Kollmorgen; Ivonne Suridjan; William W Busse; Melissa A Rosenkranz
Journal:  Alzheimers Dement (N Y)       Date:  2022-07-08

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

Authors:  Yan Li; Suzanne E Schindler; James G Bollinger; Vitaliy Ovod; Kwasi G Mawuenyega; Michael W Weiner; Leslie M Shaw; Colin L Masters; Christopher J Fowler; John Q Trojanowski; Magdalena Korecka; Ralph N Martins; Shorena Janelidze; Oskar Hansson; Randall J Bateman
Journal:  Neurology       Date:  2021-12-14       Impact factor: 11.800

7.  The National Institute on Aging-Alzheimer's Association Framework on Alzheimer's disease: Application to clinical trials.

Authors:  Jeffrey Cummings
Journal:  Alzheimers Dement       Date:  2018-06-21       Impact factor: 21.566

8.  Cerebrospinal Fluid Levels of Amyloid Beta 1-43 Mirror 1-42 in Relation to Imaging Biomarkers of Alzheimer's Disease.

Authors:  Ina S Almdahl; Camilla Lauridsen; Per Selnes; Lisa F Kalheim; Christopher Coello; Beata Gajdzik; Ina Møller; Marianne Wettergreen; Ramune Grambaite; Atle Bjørnerud; Geir Bråthen; Sigrid B Sando; Linda R White; Tormod Fladby
Journal:  Front Aging Neurosci       Date:  2017-02-07       Impact factor: 5.750

9.  Fifteen Years of the Australian Imaging, Biomarkers and Lifestyle (AIBL) Study: Progress and Observations from 2,359 Older Adults Spanning the Spectrum from Cognitive Normality to Alzheimer's Disease.

Authors:  Christopher Fowler; Stephanie R Rainey-Smith; Sabine Bird; Julia Bomke; Pierrick Bourgeat; Belinda M Brown; Samantha C Burnham; Ashley I Bush; Carolyn Chadunow; Steven Collins; James Doecke; Vincent Doré; Kathryn A Ellis; Lis Evered; Amir Fazlollahi; Jurgen Fripp; Samantha L Gardener; Simon Gibson; Robert Grenfell; Elise Harrison; Richard Head; Liang Jin; Adrian Kamer; Fiona Lamb; Nicola T Lautenschlager; Simon M Laws; Qiao-Xin Li; Lucy Lim; Yen Ying Lim; Andrea Louey; S Lance Macaulay; Lucy Mackintosh; Ralph N Martins; Paul Maruff; Colin L Masters; Simon McBride; Lidija Milicic; Madeline Peretti; Kelly Pertile; Tenielle Porter; Morgan Radler; Alan Rembach; Joanne Robertson; Mark Rodrigues; Christopher C Rowe; Rebecca Rumble; Olivier Salvado; Greg Savage; Brendan Silbert; Magdalene Soh; Hamid R Sohrabi; Kevin Taddei; Tania Taddei; Christine Thai; Brett Trounson; Regan Tyrrell; Michael Vacher; Shiji Varghese; Victor L Villemagne; Michael Weinborn; Michael Woodward; Ying Xia; David Ames
Journal:  J Alzheimers Dis Rep       Date:  2021-06-03

10.  Heterogeneity of Regional Brain Atrophy Patterns Associated with Distinct Progression Rates in Alzheimer's Disease.

Authors:  Min Soo Byun; Song E Kim; Jinsick Park; Dahyun Yi; Young Min Choe; Bo Kyung Sohn; Hyo Jung Choi; Hyewon Baek; Ji Young Han; Jong Inn Woo; Dong Young Lee
Journal:  PLoS One       Date:  2015-11-30       Impact factor: 3.240

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