Role of E74‐like transcription factor‐3 in the pulmonary regenerative response to naphthalene‐induced bronchiolar epithelial injury
Bibliographic record
Abstract
E74‐like transcription factor‐3 (Elf‐3), a member of the ETS transcription factor family, is strongly expressed in epithelial‐rich tissues, such as the developing lung and small intestine. Although previous studies have shown a defect in the terminal differentiation of the small intestinal epithelium of Elf‐3‐deficient mice during embryonic development, very little is known about the role Elf‐3 may play in the repair of the lung epithelium after injury. In order to elucidate an involvement of Elf‐3 in regeneration of the bronchiolar epithelium after Clara cell‐specific injury, we administered naphthalene to both wild type (Elf‐3 +/+) and Elf‐3‐deficient (Elf‐3 −/−) mice. Histopathological analysis revealed no significant difference in the extent of naphthalene‐induced Clara cell injury between Elf‐3 +/+ mice and Elf‐3 −/− mice. We found that the kinetics of cell proliferation and mitosis in the distal bronchiolar airway epithelium as well as Clara cell reconstitution was delayed in Elf‐3 −/− mice as compared to Elf‐3 +/+ mice; however, cell proliferation and mitosis in the peribronchiolar interstitium of Elf‐3 −/− mice was significantly greater than that of Elf‐3 +/+ mice after naphthalene treatment. Taken together, our results suggest that Elf‐3 plays an important role in the regulation of lung cell proliferation and differentiation during repair of the injured bronchiolar epithelium.
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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 | 0.001 | 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".