Signalling Through the PGC-1a Pathway Mediates an Inducible Stress Response in Retinal Astrocytes to Resist Oxidative and Metabolic Insults
Bibliographic record
Abstract
Glaucoma is a neurodegenerative disease characterized by the loss of retinal ganglion cells (RGCs) in the eye. Astrocytes are an adjacent cell type that provides metabolic support and antioxidant defense for the RGCs and the loss of these neurosupportive functions contributes to the pathogenesis of glaucoma. Peroxisome proliferator-activated receptor gamma coactivator-1 alpha (PGC-1a) is a transcriptional co-activator that regulates the expression of metabolic and antioxidant genes through interactions with transcription factors. PGC-1a deficiency has recently been implicated in neurodegeneration, but its role in mediating astrocyte functions is not well understood. In this study, PGC-1a activity and its expression were induced in astrocytes following metabolic and oxidative stress. Under these conditions, pharmacological stimulation of PGC-1a improved antioxidant capacity, mitochondria biogenesis, and increase astrocyte viability through regulations of downstream gene expression. Thus, PGC-1a is a key mediator of astrocyte stress responses, which can be targeted to promote their neurosupportive functions.
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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".