Neuroligin fragments as blood-based biomarkers for early detection of Alzheimer’s disease
Bibliographic record
Abstract
ABSTRACT INTRODUCTION Biomarkers for early detection of Alzheimer’s disease (AD) are essential for improving treatments. Fragments of the synaptic protein neuroligins (NLGNs) are released into the blood due to synaptic degeneration, which occurs in the early stages of AD. METHODS We used MS2-targeted mass spectrometry on blood samples from the CIMA-Q cohort to assess the potential of NLGN fragments as blood-based biomarkers for amnestic mild cognitive impairment (aMCI), a prodromal stage of AD. RESULTS We found higher blood levels of certain NLGN fragments in both aMCI and AD patients compared to healthy subjects. Within these same samples, the levels of Tau phosphorylated at various epitopes were higher in AD subjects but not in aMCI individuals. DISCUSSION Synaptic proteins such as NLGNs could serve as effective biomarkers for detecting the disease in its prodromal stage. This early detection could accelerate diagnosis and therapeutic intervention before neurodegeneration leads to irreversible brain damage.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".