Plasma GFAP, cortical amyloid, and cortical tau interact to predict neuroinflammatory changes within Alzheimer’s‐relevant white matter bundles
Bibliographic record
Abstract
BACKGROUND: The presence of cortical amyloid‐beta pathology is associated with white matter microstructural changes in Alzheimer’s disease (AD), especially in tracts associated with memory. However, the relationships between tract‐specific neuroinflammation and plasma markers of astrogliosis is underexamined; similarly, the involvement of tau neurofibrillary tangles is unclear in neuroinflammation. Here, we investigated the association between plasma glial fibrillary acidic protein (GFAP) and changing proportion of intravoxel freewater—a microstructural change associated with neuroinflammation—within white matter tracts vulnerable to AD. METHOD: We sampled 182 subjects from the TRIAD cohort with baseline plasma GFAP, apoe genotyping, (18)F‐NAV4694 (amyloid) and (18)F‐MK6240 (tau) PET scans, and both baseline and longitudinal diffusion MRI data (110 female; age 69.8±6.6 years; 64 apoe4 carriers; 70 amyloid positive; 38 tau positive; time difference 60.2±18.8 weeks). dMRI was processed with Tractoflow, freewater_flow, rbx_flow to extract intravoxel freewater in the uncinate fasciculus, the anterior cingulum, the posterior cingulum, and fornix (https://github.com/scilus/freewater_flow). Linear regressions tested the main effect of GFAP on change in tract‐specific freewater. Interaction tests examined the effects between a) amyloid positivity b) tau PET and GFAP on freewater. Model covariates: age, sex, and apoe genotype. T‐tests examined group differences in GFAP. (18)F‐NAV4694 positivity was assessed with a standardized uptake value ratio (SUVR) versus cerebellar gray matter. (18)F‐MK6240 SUVR was calculated in a meta‐ROI versus inferior cerebellar grey matter. Statistics performed in R 4.0.3. RESULT: We observed that elevated baseline GFAP predicts increases in freewater in the anterior cingulum, posterior cingulum, and uncinate fasciculus (Table 1). The interaction between GFAP and amyloid status predicted greater freewater accumulation in the uncinate fasciculus and anterior cingulum; this was seen between GFAP and tau only in the anterior cingulum (Table 2). Baseline GFAP was higher in the amyloid positive and tau positive participants (both p < 0.00001). CONCLUSION: Freewater in the uncinate fasciculus, anterior cingulum, and posterior cingulum increased in participants with elevated baseline GFAP, which indicates that this plasma marker of astrogliosis correlates with increased neuroinflammation. Moreover, there is an interaction between GFAP and both amyloid and tau PET in the anterior cingulum, which suggests that both proteinopathies contribute to neuroinflammation in this tract.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".