Effects of glutathione depletion on the viability of human NT2-derived neuronal and astroglial cultures
Bibliographic record
Abstract
The level of glutathione (GSH) is often reduced in brains that are affected by neurodegeneration. It is not known, however,whether this is a cause or a consequence of the disease. Here we have examined the effects of GSH depletion on the viability of human neurons cultured in either the presence or the absence of astrocytes, both derived from NT2/D1 cells. We established that the endogenous concentration of GSH is 10 times lower in neurons than in astrocytes (1.42 versus 18.9 pmol microg protein(-1)) and that pure neuronal cultures begin to die by apoptosis within 24 h of GSH depletion. By contrast, neurons that are co-cultured with astrocytes remain viable for several days, even with a profoundly decreased GSH content. However, they die rapidly when challenged additionally with nitrative stress. In addition, astrocytes survive for prolonged periods of time (>12 days) under severely reduced GSH concentrations. Our study shows clear differences in the content and sensitivity to depletion of GSH in neurons and astrocytes and establishes the significance of neuronal-glial interactions for the maintenance of neuronal viability under reduced GSH content. However, with chronic GSH depletion, these interactions might not be sufficient to protect neurons from other injurious factors (i.e. reactive oxygen and nitrogen species), which indicates that defective GSH metabolism might facilitate the progression of neurodegeneration.
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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) | 0.001 | 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 | 0.001 |
| 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".