The Association Between Tau Burden and TIMP3 Varies by APOE4 Status
Bibliographic record
Abstract
Abstract Background Tissue inhibitor of metalloproteinases‐3 (TIMP3) regulates extracellular matrix integrity, neuroinflammation, and blood‐brain barrier (BBB) function, all of which have bidirectional relationships with tau pathology in Alzheimer's disease (AD). Tau burden in medial temporal regions is a key marker of AD progression, yet its relationship with TIMP3 remains unclear. Given APOE4 's role in exacerbating tau pathology and BBB dysfunction, this study examines whether tau burden is associated with TIMP3 levels in older women with mild cognitive impairment (MCI) and whether APOE4 moderates this relationship. Method Data were collected from 50 older women (aged:72.4±4.2 years; 47.5% APOE4 carriers) participating in the Women Inflammation and Tau Study at the University of California, San Diego. All women were at higher risk for AD, defined as a polygenic hazard score in the upper 50 th percentile and a score on the Telephone Montreal Cognitive Assessment suggestive of mild cognitive impairment (i.e., scores=13‐20/22). Tau burden was assessed using MK‐6240 standardized uptake value ratio from a composite region corresponding to BRAAK stages 3/4 and TIMP3 levels were measured in cerebrospinal fluid. Moderated linear regression was used to analyze tau burden in BRAAK 3/4 in relation to TIMP3 levels, and the moderating role of APOE4 . The model adjusted for age and body mass index. Result The overall model was statistically significant and explained 27% of the variance in TIMP3 levels, F(5, 44) = 2.43, p = .012. Results revealed a significant moderating effect of APOE4 on the relationship between tau burden and TIMP3 levels, b = 5.54, p = .006. Specifically, greater tau burden was associated with higher TIMP3 levels, b=2.62, p = .049, among APOE4 carriers; whereas greater tau burden was related to lower TIMP3 levels in non‐carriers, b = ‐2.91, p = .048. Conclusion Our findings suggest a complex relationship between TIMP3 and tau pathology, potentially modulated by APOE4 status. Specifically, higher tau burden was associated with increased TIMP3 levels in APOE4 carriers but decreased TIMP3 levels in non‐carriers. Further research is warranted to clarify the mechanisms underlying TIMP3 regulation in AD, including its interactions with APOE genotype, tau pathology, and cerebrovascular integrity.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.003 | 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".