Plasma markers predict changes in amyloid, tau, atrophy and cognition in non-demented subjects

Author:

Pereira Joana B12ORCID,Janelidze Shorena1,Stomrud Erik13,Palmqvist Sebastian13,van Westen Danielle45ORCID,Dage Jeffrey L6,Mattsson-Carlgren Niklas178ORCID,Hansson Oskar13

Affiliation:

1. Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, SE-20502 Malmö, Sweden

2. Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institute, 141 83 Huddinge, Sweden

3. Memory Clinic, Skåne University Hospital, 214 28 Malmö, Sweden

4. Diagnostic Radiology, Department of Clinical Sciences Lund, Lund University, 221 85 Lund, Sweden

5. Image and Function, Skåne University Hospital, Malmö 205 02, Sweden

6. Eli Lilly and Company, Indianapolis, IN 46225, USA

7. Department of Neurology, Skåne University Hospital, Lund University, 221 84 Lund, Sweden

8. Wallenberg Center for Molecular Medicine, Lund University, 221 84 Lund, Sweden

Abstract

Abstract It is currently unclear whether plasma biomarkers can be used as independent prognostic tools to predict changes associated with early Alzheimer’s disease. In this study, we sought to address this question by assessing whether plasma biomarkers can predict changes in amyloid load, tau accumulation, brain atrophy and cognition in non-demented individuals. To achieve this, plasma amyloid-β 42/40 (Aβ42/40), phosphorylated-tau181, phosphorylated-tau217 and neurofilament light were determined in 159 non-demented individuals, 123 patients with Alzheimer’s disease dementia and 35 patients with a non-Alzheimer’s dementia from the Swedish BioFINDER-2 study, who underwent longitudinal amyloid (18F-flutemetamol) and tau (18F-RO948) PET, structural MRI (T1-weighted) and cognitive testing. Our univariate linear mixed effect models showed there were several significant associations between the plasma biomarkers with imaging and cognitive measures. However, when all biomarkers were included in the same multivariate linear mixed effect models, we found that increased longitudinal amyloid-PET signals were independently predicted by low baseline plasma Aβ42/40 (P = 0.012), whereas increased tau-PET signals, brain atrophy and worse cognition were independently predicted by high plasma phosphorylated-tau217 (P < 0.004). These biomarkers performed equally well or better than the corresponding biomarkers measured in the CSF. In addition, they showed a similar performance to binary plasma biomarker values defined using the Youden index, which can be more easily implemented in the clinic. In addition, plasma Aβ42/40 and phosphorylated-tau217 did not predict longitudinal changes in patients with a non-Alzheimer’s neurodegenerative disorder. In conclusion, our findings indicate that plasma Aβ42/40 and phosphorylated-tau217 could be useful in clinical practice, research and drug development as prognostic markers of future Alzheimer’s disease pathology.

Funder

Swedish Research Council

Alice Wallenberg foundation

Marianne and Marcus Wallenberg foundation

Swedish Alzheimer Foundation

Swedish Brain Foundation

The Parkinson foundation of Sweden

Skåne University Hospital Foundation

Konung Gustaf V: S och Drottning Victorias Frimurarestiftelse

Senior Researcher Faculty Position at Karolinska Institutet

Strategic Research Programme in Neuroscience at Karolinska Institutet

The Center for Medical Innovation

Alzheimer Drug Discovery Foundation

Hjärnfonden

ALF-agreement

European Union Joint Program for Neurodegenerative Disorders

European Research Council

Swedish State Support for Clinical Research

UK Dementia Research Institute

Publisher

Oxford University Press (OUP)

Subject

Neurology (clinical)

Reference52 articles.

1. Tracking pathophysiological processes in Alzheimer's disease: An updated hypothetical model of dynamic biomarkers;Jack;Lancet Neurol,2013

2. Current state of Alzheimer’s fluid biomarkers;Molinuevo;Acta Neuropathol,2018

3. Blood-based biomarkers for Alzheimer disease: Mapping the road to the clinic;Hampel;Nat Rev Neurol,2018

4. High performance plasma amyloid-β biomarkers for Alzheimer’s disease;Nakamura;Nature,2018

5. High-precision plasma β-amyloid 42/40 predicts current and future brain amyloidosis;Schindler;Neurology,2019

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3