Depletion of GSH in glial cells induces neurotoxicity: relevance to aging and degenerative neurological diseases
Bibliographic record
Abstract
Oxidative stress induced by inhibition of glutathione (GSH) biosynthesis with D,L-buthionine-S,R-sulfoximine (BSO) causes human microglia, human astrocytes, THP-1 cells, and U373 cells to secrete materials toxic to human neuroblastoma SH-SY5Y cells and stimulates them to release TNF-alpha, IL-6, and nitrite ions. The effect is correlated with activation of the inflammatory pathways P38 MAP- kinase, Jun-N-terminal kinase, and NF-kappaB. The effect is reduced by adding to the medium GSH or clotrimazole (CTM), an inhibitor of Ca(2+)-influx through TRPM2 channels. It is also produced by inhibiting TRPM2 protein expression in microglia and astrocytes through introduction of its small inhibitory RNA (siRNA). TRPM2 mRNA is expressed by glial cells but not by SH-SY5Y cells. BSO in the culture medium causes an almost 3-fold increase in [Ca(2+)](i) in microglia and astrocytes over a 24-h period, which is reduced to half by the addition of CTM. The data strongly suggest that inhibiting intracellular GSH synthesis induces a neuroinflammatory response in human microglia and astrocytes, which is linked to Ca(2+) influx through TRPM2 channels. It represents a new model for inducing neuroinflammation and suggests that increasing GSH levels in glial cells may confer neuroprotection in neurodegenerative diseases, such as Alzheimer disease, which have a prominent neuroinflammatory component.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".