Tissue plasminogen activator protects hippocampal neurons from oxygen-glucose deprivation injury
Bibliographic record
Abstract
We have previously shown that tissue plasminogen activator (tPA) participates in the neurotoxicity of microglial conditioned medium (MgCM). Killing of hippocampal neurons by MgCM was prevented by both plasminogen activator inhibitor-1 (PAI-1) and anti-tPA antibody. An N-methyl-D-aspartate (NMDA) receptor blocker protected neurons from MgCM, suggesting that this subtype of glutamate receptor is involved. Whereas glutamate receptor-mediated events are important in cerebral ischemia and tPA has previously been shown to enhance excitotoxicity in hippocampus, we hypothesized that tPA would exaggerate oxygen glucose deprivation (OGD) injury in cultures of hippocampal neurons. Dissociated rat hippocampal cells were grown under conditions designed to optimize neuronal growth while minimizing glial replication. At 7--10 days, cultures were subjected to OGD for 2.5 hr. Recombinant human tPA (1,000 IU) was added immediately after OGD. Viability was assessed 24 hr later. Viable, apoptotic, and necrotic cells were classified and quantified based on staining patterns of acridine orange and ethidium bromide under fluorescence microscopy. tPA alone did not alter neuronal integrity. OGD produced significant neuronal death (viability reduced by 45%, P < 0.001). tPA completely protected OGD-exposed cultures. Potential mechanisms of tPA protection were explored. Whereas tPA antibody abolished the protective effect of tPA, its proteolytic inhibitor PAI-1 did not alter the effect. The effect of tPA was tested in separate free radical and excitatory amino acid insults. It did not protect neurons from hydrogen peroxide (1 microM), S-nitro-acetylpenicillamine (10 microM), glutamate (50 microM), or NMDA (10 microM) damage but significantly attenuated injury caused by 250 microM kainate. We conclude that tPA is capable of protecting hippocampal neurons from OGD by a nonproteolytic action. The mechanism of protection was not defined, although attenuation of AMPA/kainate glutamate receptors may play a role.
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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) | 0.001 | 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".