Induction of TNF‐α signaling cascade in neonatal rat brain during propofol anesthesia
Bibliographic record
Abstract
Propofol anesthesia can trigger pro- and anti-apoptotic signaling pathways in the rat brain. In our previous work, we demonstrated that propofol causes widespread apoptotic neurodegeneration in 7-postnatal-day-old (PND7) but not in PND14 rat neurons. The mechanism responsible for these opposing outcomes is unknown, apparently linked to the specific stage of brain development. The present study aims to elucidate the anti-apoptotic process that is activated in the cortex and thalamus of PND14 Wistar rats during the first 48 h after the onset of propofol anesthesia. We showed that the expression of tumor necrosis factor-α (TNF-α) and several components of its pathway, TNFR1 and caspase-8, was significantly increased in the cortex and thalamus. Nuclear factor kappa B (NF-κB) p65 was downregulated in the cortex and upregulated in the thalamus. The expression of c-Fos was upregulated only in the cortex, showing opposed profile compared to NF-κB p65. Double immunofluorescence staining revealed the colocalization of NF-κB p65 with neuronal marker (NeuN), but with predominantly cytoplasmic localization. Finally, X-linked inhibitor of apoptosis protein (XIAP) was upregulated in both examined structures. Immunohistochemical staining with Iba-1 revealed that the treatment did not induce changes in microglial morphology. Our results (i) reveal that the simultaneous activation of pro- and anti-apoptotic signaling occurs after propofol anesthesia, and (ii) pinpoint the potential neuroprotective role of XIAP in anesthesia-induced neurotoxicity.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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 teacher head, 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".