α‐TTP‐expressing astrocytes regulate α‐tocopherol homeostasis in the CNS
Bibliographic record
Abstract
Alpha‐tocopherol (Vitamin E) is a major lipid soluble antioxidant and is essential for the prevention of oxidative stress‐related diseases. The alpha tocopherol transfer protein (α‐TTP) is the principal regulator of whole‐body vitamin E status. Mutations in the TTPA gene lead to heritable vitamin E deficiency and neurological dysfunction. As very little is presently known about the mechanisms that govern α‐tocopherol's actions in the brain, we studied the expression of α‐TTP and the trafficking of vitamin E in the cerebellum. We found that α‐TTP is expressed in GFAP‐positive astrocytes, where it regulates the efflux of α‐tocopherol to neurons. Importantly, oxidative stress increases expression of TtpA mRNA in cerebellar astrocytes. Our data suggest that α‐TTP‐expressing astrocytes regulate the homeostasis of α‐tocopherol in the CNS, thereby ensuring protection of neurons from oxidative stress‐induced damage. This model is supported by our observations of atrophied cell bodies and decreased dendritic branching of cerebellar Purkinje neurons in vitamin E deficient mice. Our findings provide a mechanistic basis for the ataxic phenotype that accompanies vitamin E deficiency. Work supported by awards T32DK07319 and RO1DK067494 from the NIH.
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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 | 0.001 |
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".