Long-term Changes in Alveolarization in the Postnatal Rat Following Transient Inhibition of Early "Classical" Alveologenesis
Bibliographic record
Abstract
Rationale: Activation of the platelet-derived growth factor receptors-α and -β (PDGF-Rα and -Rβ) is critical in the formation of secondary crests/septa during alveologenesis, and its regulation has been found to be disrupted in rat lung injury models.\nObjective: To determine whether the process of secondary septation can occur after transient pharmacologic inhibition of PDGF-R action during postnatal days (P)1 – 7 in rats.\nHypothesis: The initial process of secondary crest formation is time-limited and, if missed, will result in a permanent loss of alveoli.\nMethods: Imatinib mesylate, a PDGF-R inhibitor, was injected intraperitoneally from P1 – 7. Pups were sacrificed on P2, 4, 8, 14, 28 and 65 for studies of alveolar development.\nMain results: The injection of imatinib inhibited PDGF-R action, resulting in a permanent decrease in alveolar number in treated rats.\nConclusions: Inhibition of secondary septation during the first 7 days of life resulted in a decrease in alveolar number lasting into early adult life. This is consistent with a critical time window for secondary septation, which, if disrupted, results in long-term adverse effects on lung development.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".