Activation of Nuclear Factor-κB via Endogenous Tumor Necrosis Factor α Regulates Survival of Axotomized Adult Sensory Neurons
Bibliographic record
Abstract
Embryonic dorsal root ganglion (DRG) neurons die after axonal damage in vivo, and cultured embryonic DRG neurons require exogenous neurotrophic factors that activate the neuroprotective transcription factor nuclear factor-kappaB (NF-kappaB) for survival. In contrast, adult DRG neurons survive permanent axotomy in vivo and in defined culture media devoid of exogenous neurotrophic factors in vitro. Peripheral axotomy in adult rats induces local accumulation of the cytokine tumor necrosis factor alpha (TNFalpha), a potent activator of NF-kappaB activity. We tested the hypothesis that activation of NF-kappaB stimulated by endogenous TNFalpha was required for survival of axotomized adult sensory neurons. Peripheral axotomy of lumbar DRG neurons by sciatic nerve crush induced a very rapid (within 2 h) and significant elevation in NF-kappaB-binding activity. This phenomenon was mimicked in cultured neurons in which there was substantial NF-kappaB nuclear translocation and a significant rise in NF-kappaB DNA-binding activity after plating. Inhibitors of NF-kappaB (SN50 or NF-kappaB decoy DNA) resulted in necrotic cell death of medium to large neurons (> or =40 microm) within 24 h (60 and 75%, respectively), whereas inhibition of p38 and mitogen-activated protein/extracellular signal-regulated kinase did not effect survival. ELISA revealed that these cultures contained TNFalpha, and exposure to an anti-TNFalpha antibody inhibited NF-kappaB DNA-binding activity by approximately 35% and killed approximately 40% of medium to large neurons within 24 h. The results show for the first time that cytokine-mediated activation of NF-kappaB is a component of the signaling pathway responsible for maintenance of adult sensory neuron survival after axon damage.
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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".