CSF and Plasma Proteomics in the AT groups. What is beyond amyloid and p‐tau?
Bibliographic record
Abstract
Abstract Background The research on Alzheimer’s disease (AD) has substantially advanced in relation to plasma biomarkers, such as pTau217, for the detection of amyloid (Aβ) pathology which identify, with high accuracy, individuals in the AD biological continuum. However, as these biomarkers become abnormal very early in the disease, biomarkers identifying more advanced disease stages and proxying pathophysiological processes beyond amyloidosis are still needed. Therefore, we have conducted a proteomic study, on plasma and CSF, aiming at identifying proteins reflecting pathological changes in AD. Methods Participants from the TRIAD cohort, including CU, MCI or dementia, and with available Aβ and tau PET data, had their plasma samples analyzed with NULISAseq CNS panel (Alamar Biosciences). Participants were grouped according to their Aβ ([18F]‐AZD4694>1.55) and tau ([18F]‐MK6240>1.19) statuses in AT groups (A‐T‐ (n=242), A+T‐ (n=27) and A+T+ (n=113); discordant participants were not evaluated (n=28)). LIMMA models evaluated the differential protein expression between groups adjusting for age and sex. Additional WGCNA was implemented aiming to evaluate protein modules associated with these AT groups. Results When comparing protein expression according to the Aβ status on participants without evidence of tau pathology (A‐T‐ vs A+T‐), the LIMMA analysis unveiled proteins previously associated with Aβ pathology such as pTau217, pTau231 and GFAP, with the addition of two interleukins (Figure 1). However, when contrasting tau pathology status amongst Aβ+ individuals, additional proteins were evidenced such as NPTX1 and NPTX2, NEFL, MAPT, IL6 and IL13. The WGCNA analysis identified one significant protein module that negatively correlated with group A‐T‐ and positively correlated with A+T+ group, recapitulating findings from the initial LIMMA analysis (Figure 2). Conclusion In this plasma proteomic study, analysis focusing on Aβ+ groups unveiled proteins that have been largely reported as associated with amyloid pathology and proteins related to immune regulation. However, when the addition of tau pathology was accounted for, proteins associated with tau pathology, inflammation, neurodegeneration and synaptic dysfunction were differentially expressed in the peripheral fluid. These findings will soon be complemented with CSF data, and we will be able to confirm the link between central and peripheral proteomics to brain pathology.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".