Abstract

Introduction: Fatty acid–binding protein 3 (FABP3) is a biomarker of neuronal membrane disruption, associated with lipid dyshomeostasis—a notable Alzheimer's disease (AD) pathophysiological change. We assessed the association of cerebrospinal fluid (CSF) FABP3 levels with brain amyloidosis and the likelihood/risk of developing amyloidopathy in cognitively healthy individuals. Methods: FABP3 levels were measured in CSF samples of cognitively healthy participants, > 60 years of age (n = 142), from the Australian Imaging, Biomarkers & Lifestyle Flagship Study of Ageing (AIBL). Results: FABP3 levels were positively associated with baseline brain amyloid beta (Aβ) load as measured by standardized uptake value ratio (SUVR, standardized β = 0.22, P =.009) and predicted the change in brain Aβ load (standardized β = 0.32, P =.004). Higher levels of CSF FABP3 (above median) were associated with a likelihood of amyloidopathy (odds ratio [OR] 2.28, 95% confidence interval [CI] 1.12 to 4.65, P =.023). Discussion: These results support inclusion of CSF FABP3 as a biomarker in risk-prediction models of AD.

RAS ID

54113

Document Type

Journal Article

Date of Publication

1-1-2022

Volume

14

Issue

1

Funding Information

CSIRO NHMRC Dementia Collaborative Research Centres program Cooperative Research Centre for Mental Health Australian Alzheimer's Research Foundation Government of Victoria Further Funding information : https://doi.org/10.1002/dad2.12375

School

School of Medical and Health Sciences

Grant Number

NMHRC Number: RM34909, APP1105784

Creative Commons License

Creative Commons Attribution-Noncommercial 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License

Publisher

Wiley

Comments

Dhiman, K., Villemagne, V. L., Fowler, C., Bourgeat, P., Li, Q. X., Collins, S., . . . Gupta, V. (2022). Cerebrospinal fluid levels of fatty acid–binding protein 3 are associated with likelihood of amyloidopathy in cognitively healthy individuals. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring, 14(1), article e12377. https://doi.org/10.1002/dad2.12377

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Link to publisher version (DOI)

10.1002/dad2.12377