Plasma GFAP use for population enrichment of clinical trials in preclinical Alzheimer’s disease
Bibliographic record
Abstract
Abstract Background We showed that plasma GFAP (a proxy of astrocyte reactivity) abnormality is key to unleashing Aβ effects on tau phosphorylation in preclinical AD. This suggests that selecting cognitively unimpaired(CU) individuals with both high Aβ and plasma GFAP could offer an early time window in the disease, but with an increased risk of developing tau pathology. Here, we tested the utility of plasma GFAP for population enrichment in clinical trials focusing on CU individuals. Method We assessed 195 CU individuals from TRIAD (n=84) and WRAP (n=111) cohorts with plasma GFAP and Aβ‐PET at baseline and Tau‐PET ([18F]MK6240) at baseline and follow‐up. The annual rate of progression in Tau‐PET was measured as follow‐up minus baseline uptakes divided by time between scans. Aβ positivity was determined as Centiloid>20. Astrocyte reactivity positivity(Ast+) was defined based on plasma GFAP of younger Aβ‐. Effect size was calculated as the mean change in Tau‐PET divided by the SD. Estimated sample size was calculated testing a hypothesized 25%drug effect on tau accumulation reduction in the medial temporal lobe (MTL) and temporal neocortex (Neo‐T) as secondary outcomes with 80% power at a 0.05 level. Results A significant annual rate of MTL tau‐PET accumulation was observed in both Aβ+/Ast‐ and Aβ+/Ast+ groups (Figure 1A), while Neo‐T Tau‐accumulated only in the Aβ+/Ast+ group (Figure 1B). The Aβ+/Ast+ group has a larger effect size on Neo‐T tau accumulation (0.97) compared to Aβ+/Ast‐ (0.33) and all individuals Aβ+ (0.61; Figure 2C). Plasma GFAP as an enrichment strategy reduced the sample size of clinical trials using changes in the Neo‐T as outcome in 60% (Figure 2D), with 59% reduction in clinical trial costs (Figure 3B). Plasma GFAP as an enrichment strategy for changes in MTL tau accumulation did not provide significant advantages over using Aβ only (Figure 2‐3). Larger effect sizes in Tau‐PET accumulation were observed in WRAP than TRIAD cohort. Conclusion The use of Aβ+/Ast+ for population enrichment would reduce up to 59% clinical trial costs aiming to detect changes in Tau‐PET compared to using Aβ only. To conclude, clinical trials focusing on preclinical AD would benefit from enrolling individuals with both Aβ pathology and astrocyte reactivity to select individuals enhancing trial cost‐effectiveness.
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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 | 0.042 | 0.043 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".