Examining iron‐related off‐target binding effects of <sup>18</sup> F‐AV1451 PET in the cortex of Aβ+ individuals
Bibliographic record
Abstract
Abstract The presence of neurofibrillary tangles containing hyper‐phosphorylated tau is a characteristic of Alzheimer's disease (AD) pathology. The positron emission tomography (PET) radioligand sensitive to tau neurofibrillary tangles ( 18 F‐AV1451) also binds with iron. This off‐target binding effect may be enhanced in older adults on the AD spectrum, particularly those with amyloid‐positive biomarkers. Here, we examined group differences in 18 F‐AV1451 PET after controlling for iron‐sensitive measures from magnetic resonance imaging (MRI) and its relationships to tissue microstructure and cognition in 40 amyloid beta positive (Aβ+) individuals, 20 amyloid beta negative (Aβ‐) with MCI and 31 Aβ‐ control participants. After controlling for iron, increased 18 F‐AV1451 PET uptake was found in the temporal lobe and hippocampus of Aβ+ participants compared to Aβ‐ MCI and control participants. Within the Aβ+ group, significant correlations were seen between 18 F‐AV1451 PET uptake and tissue microstructure and these correlations remained significant after controlling for iron. These findings indicate that off‐target binding of iron to the 18 F‐AV1451 ligand may not affect its sensitivity to Aβ status or cognition in early‐stage AD.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".