Publication

Rapid Mechanistic Bridging of an Alzheimer's Disease Plasma Protein Staging Panel Across Brain Proteomics Cohorts

A new Tesorai preprint validates a proposed seven-protein blood biomarker panel for Alzheimer's staging by reanalyzing five independent brain proteomics cohorts, recovering a key biomarker, p-tau217, that was missing from the original studies.
ON THIS PAGE

Tesorai's research team has posted a new preprint on bioRxiv validating a recently proposed seven-protein, blood-based staging panel for Alzheimer's Disease against independent post-mortem brain proteomics data. Using pre-structured datasets on the Tesorai platform, the team reanalyzed five brain cohorts with Braak stage annotations, and reprocessed raw spectra to recover tau phosphopeptides, including p-tau217, that were missing from the original published protein summaries.

Read the paper: https://doi.org/10.64898/2026.08.31.748393 

Abstract

Background: Blood-based biomarkers are transforming Alzheimer's Disease (AD) diagnosis and staging. Recent multi-protein plasma panels accurately identify individuals with advanced Braak pathology, but whether these circulating biomarkers truly reflect the molecular remodeling underlying AD neuropathology remains unclear. Pre-existing datasets could answer such questions, but their reuse requires harmonized protein expression data, standardized sample annotations, and consistent study metadata. Methods: A recently reported seven-protein plasma staging panel was evaluated across multiple post-mortem proteomics brain cohorts using pre-structured datasets on the Tesorai platform. Five datasets with Braak stage data were identified and re-analyzed. A linear model was used to distinguish late (V-VI) from early Braak stage (0-IV). Because phosphorylated tau 217 (p-tau217) and amyloid beta 1-40 (Aβ40) were not reported for any studies, raw spectra were reprocessed to quantify these proteoforms. Results: Across the cohorts, the plasma-derived biomarker panel consistently discriminated early from late disease despite heterogeneous protein coverage. Reprocessing of raw spectra recovered tau phosphopeptides absent from the original protein summaries, enabling inclusion of p-tau217, while Aβ40 remained undetected. Together, these findings show that proteins comprising a recently proposed blood-based staging panel are associated with proteomic remodeling in the AD brain across independent cohorts. Conclusions: These findings provide biological validation for a recently proposed blood-based seven-protein staging panel by demonstrating that its constituent biomarkers are associated with disease-stage proteomic changes in AD brain tissue. More broadly, re-mining legacy mass spectrometry data for disease-relevant proteoforms, combined with pre-structured datasets, can accelerate evaluation of emerging blood-based biomarkers against neuropathological and molecular features of disease.

Explore more resources

Technical explainers, publications, guides, and perspectives on proteomics data analysis and biological discovery.
View all resources
Publication

Publications

Single-cell foundation models benefit from cross-modal training: adding proteomics data beats parameter scaling

Fine-tuning a single-cell foundation model on proteomics data matches or beats scaling to models over 40x larger — showing multimodal training can outperform parameter scaling alone.

Pan-Cancer Atlas resource card graphic

Building a Pan-Cancer Atlas of Therapeutic T Cell Targets

How NYU researchers used large-scale immunopeptidomics and AI-enabled peptide identification to identify 28,446 tumor-specific antigens and accelerate therapeutic target discovery.

Guangyuan (Frank) Li, PhD, NYU Langone Health
FDR, MBR, and Immunopeptidomics guide resource card graphic

FDR, Match-Between-Runs, and Immunopeptidomics: A Plain-Language Guide

Three concepts that determine whether you can trust your proteomics results — and what to look for when evaluating any search engine.