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Active NON-SBIR/STTR RPGS NIH (US)

Plasma brain-derived tau: a novel Alzheimer’s disease-type neurodegeneration biomarker with potential to complete the AT(N) scheme in blood

$57.94M USD

Funder NATIONAL INSTITUTE ON AGING
Recipient Organization University of Pittsburgh At Pittsburgh
Country United States
Start Date Sep 01, 2023
End Date May 31, 2028
Duration 1,734 days
Number of Grantees 1
Roles Principal Investigator
Data Source NIH (US)
Grant ID 10739932
Grant Description

While the Amyloid(A)/Tau(T)/Neurodegeneration(N) framework has been validated against neuropathology, cerebrospinal fluid (CSF) and neuroimaging biomarkers, its implementation in blood is incomplete. We now have high-performance plasma A and T markers that become abnormal according to AD pathophysiology. However, the current N marker – neurofilament light

(NfL) – is a non-disease-specific indicator of neurodegeneration/neuronal injury. Moreover, plasma total-tau (t-tau) has large overlaps between diagnostic groups and does not correlate with CSF t-tau. We have developed and validated a novel AD-type neurodegeneration biomarker (referred to as brain-derived tau [BD-tau]) with capacity to complete the AT(N) framework in blood.

Our overall goal is to perform a large-scale clinical and pathophysiological validation of plasma BD-tau. We will leverage five longitudinal, already existing, racially/ethnically diverse sporadic AD cohorts (n = 2,594) with clinical, in vivo, and post-mortem evaluations to answer the following specific aims: Aim 1. To compare associations of plasma BD-tau, NfL and t-tau with clinical

diagnosis of AD and longitudinal cognitive change; Aim 2. To compare AT(N) profiles and associations for plasma BD-tau vs. NfL and t-tau; Aim 3. To compare the (added) diagnostic value of plasma BD-tau vs. NfL and t-tau for autopsy confirmation of AD; and Exploratory Aim 4: To compare performances of plasma BD-tau vs. NfL and t-tau in

different racial/ethnic groups. If proven, BD-tau will complete the AT(N) scheme in blood, improving diagnostic and prognostic accuracies and confidence, as well as the prediction of longitudinal cognitive change that are directly translatable to anti-AD clinical trials.

All Grantees

University of Pittsburgh At Pittsburgh

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