4.6 Article

Combination of plasma amyloid beta(1-42/1-40)and glial fibrillary acidic protein strongly associates with cerebral amyloid pathology

Journal

ALZHEIMERS RESEARCH & THERAPY
Volume 12, Issue 1, Pages -

Publisher

BMC
DOI: 10.1186/s13195-020-00682-7

Keywords

Blood-based biomarkers; Plasma GFAP; Plasma amyloid beta; Amyloid pathology; Alzheimer's continuum

Funding

  1. Alzheimer Nederland [NL-17004]
  2. TKI research grant from Health Holland [LSHl17OO1]
  3. European Commission (Marie Curie International Training Network, JPND)
  4. Dutch Research Council (ZonMW)
  5. Gieskes-Strijbis Fonds
  6. Weston Brain Institute
  7. ZonMW Memorabel [73305095005]
  8. NIHR biomedical center at UCLH
  9. ZonMW
  10. CTMM
  11. Piramal Image
  12. GE Healthcare
  13. Avid Radiopharmaceuticals
  14. Center for Translational Molecular Medicine
  15. Alzheimer Nederland
  16. Stichting VUmc fonds
  17. Stichting Dioraphte
  18. Alzheimer Netherlands

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Background Blood-based biomarkers for Alzheimer's disease (AD) might facilitate identification of participants for clinical trials targeting amyloid beta (Abeta) accumulation, and aid in AD diagnostics. We examined the potential of plasma markers Abeta((1-42/1-40)), glial fibrillary acidic protein (GFAP) and neurofilament light (NfL) to identify cerebral amyloidosis and/or disease severity. Methods We included individuals with a positive (n = 176: 63 +/- 7 years, 87 (49%) females) or negative (n = 76: 61 +/- 9 years, 27 (36%) females) amyloid PET status, with syndrome diagnosis subjective cognitive decline (18 PET+, 25 PET-), mild cognitive impairment (26 PET+, 24 PET-), or AD-dementia (132 PET+). Plasma Abeta((1-42/1-40)), GFAP, and NfL were measured by Simoa. We applied two-way ANOVA adjusted for age and sex to investigate the associations of the plasma markers with amyloid PET status and syndrome diagnosis; logistic regression analysis with Wald's backward selection to identify an optimal panel that identifies amyloid PET positivity; age, sex, and education-adjusted linear regression analysis to investigate associations between the plasma markers and neuropsychological test performance; and Spearman's correlation analysis to investigate associations between the plasma markers and medial temporal lobe atrophy (MTA). Results Abeta((1-42/1-40))and GFAP independently associated with amyloid PET status (p = 0.009 andp < 0.001 respectively), and GFAP and NfL independently associated with syndrome diagnosis (p = 0.001 andp = 0.048 respectively). The optimal panel identifying a positive amyloid status included Abeta((1-42/1-40))and GFAP, alongside age and APOE (AUC = 88% (95% CI 83-93%), 82% sensitivity, 86% specificity), while excluding NfL and sex. GFAP and NfL robustly associated with cognitive performance on global cognition and all major cognitive domains (GFAP: range standardized beta (s beta) = - 0.40 to - 0.26; NfL: range s beta = - 0.35 to - 0.18; all:p < 0.002), whereas Abeta((1-42/1-40))associated with global cognition, memory, attention, and executive functioning (range s beta = 0.22 - 0.11; all:p < 0.05) but not language. GFAP and NfL showed moderate positive correlations with MTA (both: Spearman's rho> 0.33,p < 0.001). Abeta((1-42/1-40))showed a moderate negative correlation with MTA (Spearman's rho = - 0.24,p = 0.001). Discussion and conclusions Combination of plasma Abeta((1-42/1-40))and GFAP provides a valuable tool for the identification of amyloid PET status. Furthermore, plasma GFAP and NfL associate with various disease severity measures suggesting potential for disease monitoring.

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