Alzheimer’s Research & Therapy (Nov 2018)

Correlations between plasma and PET beta-amyloid levels in individuals with subjective cognitive decline: the Fundació ACE Healthy Brain Initiative (FACEHBI)

  • Itziar de Rojas,
  • J. Romero,
  • O. Rodríguez-Gomez,
  • P. Pesini,
  • A. Sanabria,
  • A. Pérez-Cordon,
  • C. Abdelnour,
  • I. Hernández,
  • M. Rosende-Roca,
  • A. Mauleón,
  • L. Vargas,
  • M. Alegret,
  • A. Espinosa,
  • G. Ortega,
  • S. Gil,
  • M. Guitart,
  • A. Gailhajanet,
  • M. A. Santos-Santos,
  • Sonia Moreno-Grau,
  • O. Sotolongo-Grau,
  • S. Ruiz,
  • L. Montrreal,
  • E. Martín,
  • E. Pelejà,
  • F. Lomeña,
  • F. Campos,
  • A. Vivas,
  • M. Gómez-Chiari,
  • M. A. Tejero,
  • J. Giménez,
  • V. Pérez-Grijalba,
  • G. M. Marquié,
  • G. Monté-Rubio,
  • S. Valero,
  • A. Orellana,
  • L. Tárraga,
  • M. Sarasa,
  • A. Ruiz,
  • M. Boada,
  • on behalf of the FACEHBI study

DOI
https://doi.org/10.1186/s13195-018-0444-1
Journal volume & issue
Vol. 10, no. 1
pp. 1 – 12

Abstract

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Abstract Background Peripheral biomarkers that identify individuals at risk of developing Alzheimer’s disease (AD) or predicting high amyloid beta (Aβ) brain burden would be highly valuable. To facilitate clinical trials of disease-modifying therapies, plasma concentrations of Aβ species are good candidates for peripheral AD biomarkers, but studies to date have generated conflicting results. Methods The Fundació ACE Healthy Brain Initiative (FACEHBI) study uses a convenience sample of 200 individuals diagnosed with subjective cognitive decline (SCD) at the Fundació ACE (Barcelona, Spain) who underwent amyloid florbetaben(18F) (FBB) positron emission tomography (PET) brain imaging. Baseline plasma samples from FACEHBI subjects (aged 65.9 ± 7.2 years) were analyzed using the ABtest (Araclon Biotech). This test directly determines the free plasma (FP) and total plasma (TP) levels of Aβ40 and Aβ42 peptides. The association between Aβ40 and Aβ42 plasma levels and FBB-PET global standardized uptake value ratio (SUVR) was determined using correlations and linear regression-based methods. The effect of the APOE genotype on plasma Aβ levels and FBB-PET was also assessed. Finally, various models including different combinations of demographics, genetics, and Aβ plasma levels were constructed using logistic regression and area under the receiver operating characteristic curve (AUROC) analyses to evaluate their ability for discriminating which subjects presented brain amyloidosis. Results FBB-PET global SUVR correlated weakly but significantly with Aβ42/40 plasma ratios. For TP42/40, this observation persisted after controlling for age and APOE ε4 allele carrier status (R 2 = 0.193, p = 1.01E-09). The ROC curve demonstrated that plasma Aβ measurements are not superior to APOE and age in combination in predicting brain amyloidosis. It is noteworthy that using a simple preselection tool (the TP42/40 ratio with an empirical cut-off value of 0.08) optimizes the sensitivity and reduces the number of individuals subjected to Aβ FBB-PET scanners to 52.8%. No significant dependency was observed between APOE genotype and plasma Aβ measurements (p value for interaction = 0.105). Conclusion Brain and plasma Aβ levels are partially correlated in individuals diagnosed with SCD. Aβ plasma measurements, particularly the TP42/40 ratio, could generate a new recruitment strategy independent of the APOE genotype that would improve identification of SCD subjects with brain amyloidosis and reduce the rate of screening failures in preclinical AD studies. Independent replication of these findings is warranted.

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