Plasma Biomarkers Predict Pre-clinical Amyloid- and Tau-PET in a Cognitively Healthy Cohort: The Framingham Heart Study
Martin Mulligan1, Qiong Yang2, Ruiqi Wang2, Alexa Beiser2, Saptaparni Ghosh3, Claudia Satzibal4, Keith Johnson5, Russell Tracy6, Sudha Seshadri7, Emer R McGrath1
1University of Galway, 2Boston University, 3Framingham Heart Study, Boston Univeristy, 4Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases., 5MGH, 6University of Vermont, 7Glenn Biggs Institute for Alzheimer'S and Neurodegenerative Diseases
Objective:

To identify plasma biomarkers predictive of amyloid- and tau-PET burden in cognitively healthy adults.

Background:

Dementia is a significant contributor to disability worldwide . In addition to neurodegeneration (Aβ and tau), other pathways (e.g. inflammation, vascular injury) likely play important roles in dementia pathogenesis. Identifying blood biomarkers for preclinical disease can inform our understanding of biological pathways underpinning dementia and identify opportunities for disease modification.

Design/Methods:

We measured 126 proteins in  279 dementia- and stroke-free Framingham Generation 3 cohort participants (136 women, mean age 45 [SD 8]) with available stored blood samples (2002-2005) and available 11C-Pittsburgh Compound-B (PiB)-PET and/or 18F-Flortaucipir (FTP)-PET scans completed a mean of 8.6 years after blood sampling. Linear mixed effect regression with family structure modelled as random effect between individual log transformed biomarkers and amyloid deposition (frontal, lateral temporal and retrosplenial cortices [FLR]; posterior cingulate (PC); and precuneus) and tau deposition (entorhinal cortex [ERC]; and global deposition was performed. Results were corrected for multiple testing (Bonferroni correction).

Results:

A total of 63 biomarkers demonstrated significant associations with amyloid- or tau-PET deposition. Plasma total tau (t-tau), serum receptor for advanced glycation products (sRAGE) and insulin predicted amyloid deposition in all measured regions (FLR (ß±SE, p): insulin [-0.15±0.06, p=0.008], sRAGE [-0.140±0.06, p=0.021], t-tau [0.10±0.05, .p= 0.036]).

9 biomarkers were associated with entorhinal and global tau, including growth differentiation factor-15 (ERC [ß±SE, p]: -0.014±0.07, p= 0.04), lysine deficient protein kinase-1 (WNK1) (ERC [ß±SE, p]: 0.52±0.25, p=0.03] and N-terminal pro-B-type natriuretic peptide (NT-proBNP) (ERC [ß±SE, p]: 0.16±0.07, p=0.01).

Conclusions:

Plasma t-tau, sRAGE (marker of hyperglycemia and inflammation) and insulin predicted pre-clinical amyloid-PET burden, while 9 biomarkers, including GDF-15, WNK-1 and nt-proBNP (markers of inflammation and vascular risk) predicted preclinical tau burden. These biomarkers offer potential in identifying preclinical stages of dementia but will require validation in other cohorts.

10.1212/WNL.0000000000206516