Dynamics of oligodendrocyte responses to anterograde axonal (Wallerian) and terminal degeneration in normal and TNF‐transgenic mice
Bibliographic record
Abstract
The inflammatory cytokine tumour necrosis factor (TNF) can both induce oligodendrocyte and myelin pathology and promote proliferation of oligodendrocyte progenitor cells and remyelination. We have compared the response of the oligodendrocyte lineage to anterograde axonal (Wallerian) and terminal degeneration and lesion-induced axonal sprouting in the hippocampal dentate gyrus in TNF-transgenic mice with the response in genetically normal mice. Transectioning of the entorhino-dentate perforant path axonal projection increased hippocampal TNF mRNA expression in both types of mice, but to significantly larger levels in the TNF-transgenics. At 5 days after axonal transection, numbers of oligodendrocytes and myelin basic protein (MBP) mRNA expression in the denervated dentate gyrus in TNF-transgenic mice had increased to the same extent as in nontransgenic littermates. At this time, transgenics showed a tendency towards a greater increase in the number of juxtaposed, potentially proliferating oligodendrocytes. Noteworthy, at day 5 we also observed upregulation of MBP mRNA expression in adjacent hippocampal subregions with lesion-induced axonal sprouting, which were devoid of axonal degeneration, raising the possibility that sprouting axons provide trophic stimuli to the oligodendrocyte lineage. Twenty-eight days after lesioning, oligodendrocyte numbers and MBP mRNA expression were reduced to near normal levels. However, oligodendrocyte densities in the TNF-transgenic mice were significantly lower than in nontransgenics. We conclude that the early response of the oligodendrocyte lineage to axonal lesioning and lesion-induced axonal sprouting appears unaffected by the supranormal TNF levels in the TNF-transgenic mice. TNF may, however, have long-term inhibitory effects on the oligodendrocyte response to axonal lesioning.
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 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 | 0.002 | 0.003 |
| 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 | 0.000 |
| Open science | 0.000 | 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".