Controlled enzymatic production of astrocytic hydrogen peroxide protects neurons from oxidative stress via an Nrf2-independent pathway
Bibliographic record
Abstract
Neurons rely on their metabolic coupling with astrocytes to combat oxidative stress. The transcription factor nuclear factor erythroid 2-related factor 2 (Nrf2) appears important for astrocyte-dependent neuroprotection from oxidative insults. Indeed, Nrf2 activators are effective in stroke, Parkinson disease, and Huntington disease models. However, key endogenous signals that initiate adaptive neuroprotective cascades in astrocytes, including activation of Nrf2-mediated gene expression, remain unclear. Hydrogen peroxide (H(2)O(2)) plays an important role in cell signaling and is an attractive candidate mediator of adaptive responses in astrocytes. Here we determine (i) the significance of H(2)O(2) in promoting astrocyte-dependent neuroprotection from oxidative stress, and (ii) the relevance of H(2)O(2) in inducing astrocytic Nrf2 activation. To control the duration and level of cytoplasmic H(2)O(2) production in astrocytes cocultured with neurons, we heterologously expressed the H(2)O(2)-producing enzyme Rhodotorula gracilis D-amino acid oxidase (rgDAAO) selectively in astrocytes. Exposure of rgDAAO-astrocytes to D-alanine lead to the concentration-dependent generation of H(2)O(2). Seven hours of low-level H(2)O(2) production (∼3.7 nmol·min·mg protein) in astrocytes protected neurons from oxidative stress, but higher levels (∼130 nmol·min·mg protein) were neurotoxic. Neuroprotection occurred without direct neuronal exposure to astrocyte-derived H(2)O(2), suggesting a mechanism specific to astrocytic intracellular signaling. Nrf2 activation mimicked the effect of astrocytic H(2)O(2) yet H(2)O(2)-induced protection was independent of Nrf2. Astrocytic protein tyrosine phosphatase inhibition also protected neurons from oxidative death, representing a plausible mechanism for H(2)O(2)-induced neuroprotection. These findings demonstrate the utility of rgDAAO for spatially and temporally controlling intracellular H(2)O(2) concentrations to uncover unique astrocyte-dependent neuroprotective mechanisms.
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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".