Frontiers in Aging Neuroscience (Mar 2023)

Contribution of clinical information to the predictive performance of plasma β-amyloid levels for amyloid positron emission tomography positivity

  • Min Young Chun,
  • Min Young Chun,
  • Min Young Chun,
  • Hyemin Jang,
  • Hyemin Jang,
  • Hyemin Jang,
  • Hee Jin Kim,
  • Hee Jin Kim,
  • Hee Jin Kim,
  • Hee Jin Kim,
  • Jun Pyo Kim,
  • Jun Pyo Kim,
  • John Gallacher,
  • José Antonio Allué,
  • Leticia Sarasa,
  • Sergio Castillo,
  • María Pascual-Lucas,
  • Duk L. Na,
  • Duk L. Na,
  • Sang Won Seo,
  • Sang Won Seo,
  • Sang Won Seo,
  • Sang Won Seo,
  • Sang Won Seo,
  • on behalf of DPUK

DOI
https://doi.org/10.3389/fnagi.2023.1126799
Journal volume & issue
Vol. 15

Abstract

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BackgroundEarly detection of β-amyloid (Aβ) accumulation, a major biomarker for Alzheimer’s disease (AD), has become important. As fluid biomarkers, the accuracy of cerebrospinal fluid (CSF) Aβ for predicting Aβ deposition on positron emission tomography (PET) has been extensively studied, and the development of plasma Aβ is beginning to receive increased attention recently. In the present study, we aimed to determine whether APOE genotypes, age, and cognitive status increase the predictive performance of plasma Aβ and CSF Aβ levels for Aβ PET positivity.MethodsWe recruited 488 participants who underwent both plasma Aβ and Aβ PET studies (Cohort 1) and 217 participants who underwent both cerebrospinal fluid (CSF) Aβ and Aβ PET studies (Cohort 2). Plasma and CSF samples were analyzed using ABtest-MS, an antibody-free liquid chromatography-differential mobility spectrometry-triple quadrupole mass spectrometry method and INNOTEST enzyme-linked immunosorbent assay kits, respectively. To evaluate the predictive performance of plasma Aβ and CSF Aβ, respectively, logistic regression and receiver operating characteristic analyses were performed.ResultsWhen predicting Aβ PET status, both plasma Aβ42/40 ratio and CSF Aβ42 showed high accuracy (plasma Aβ area under the curve (AUC) 0.814; CSF Aβ AUC 0.848). In the plasma Aβ models, the AUC values were higher than plasma Aβ alone model, when the models were combined with either cognitive stage (p < 0.001) or APOE genotype (p = 0.011). On the other hand, there was no difference between the CSF Aβ models, when these variables were added.ConclusionPlasma Aβ might be a useful predictor of Aβ deposition on PET status as much as CSF Aβ, particularly when considered with clinical information such as APOE genotype and cognitive stage.

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