15‐Deoxy‐Δ12,14‐prostaglandin J2 (15d‐<scp>PGJ</scp>2) protects neurons from oxidative death via an Nrf2 astrocyte‐specific mechanism independent of <scp>PPAR</scp>γ
Bibliographic record
Abstract
Astrocytes are critical for the antioxidant support of neurons. Recently, we demonstrated that low level hydrogen peroxide (H(2) O(2) ) facilitates astrocyte-dependent neuroprotection independent of the antioxidant transcription factor Nrf2, leaving the identity of the endogenous astrocytic Nrf2 activator to question. In this study, we show that an endogenous electrophile, 15-deoxy-Δ12,14-prostaglandin J2 (15d-PGJ2), non-cell autonomously protects neurons from death induced by depletion of the major antioxidant glutathione. Nrf2 knockdown in astrocytes abrogated 15d-PGJ2's neuroprotective effect as well as 15d-PGJ2 facilitated Nrf2-target gene induction. In contrast, knockdown of the transcription factor peroxisome proliferator activated-receptor gamma (PPARγ), a well-characterized 15d-PGJ2 target, did not alter 15d-PGJ2 non-cell autonomous neuroprotection. In addition, several PPARγ agonists of the thiazolidinedione (TZD) family failed to induce neuroprotection. Unexpectedly, however, the TZD troglitazone (which contains a chromanol moiety found on vitamin E) induced astrocyte-mediated neuroprotection, an effect which was mimicked by the vitamin E analogs alpha-tocopherol or alpha-tocotrienol. Our findings lead to two important conclusions: (i) 15d-PGJ2 induces astrocyte-mediated neuroprotection via an Nrf2 but not PPARγ mediated pathway, suggesting that 15d-PGJ2 is a candidate endogenous modulator of Nrf2 protective pathways in astrocytes; (ii) selective astrocyte treatment with analogs or compounds containing the chromanol moiety of vitamin E facilitates non-cell autonomous neuroprotection.
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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".