ROCK2 is involved in accelerated fetal lung development induced by in vivo lung distension
Bibliographic record
Abstract
Lung development is strongly influenced by its state of distension. For instance, increasing distension induced by fetal tracheal occlusion (TO) stimulates lung development. In contrast, oligohydramnios (OH) reduces lung distending forces and results in lung hypoplasia. We hypothesize that Rho/Rho-associated kinase (ROCK) pathway plays an important role as mechanosensor in vivo acting either directly or indirectly in the translation of increased distension into acceleration of lung growth. TO was done in fetal mice sacrificed either 3 or 24 hr later; in a subset of dam, fasudil, a specific ROCK inhibitor, or vehicle was injected intra-peritoneally. OH was done by puncture of the amniotic sac. ROCK2 protein levels were assessed by Western blot and immunohistochemistry (IHC); lung development was assessed by measuring the generation of distal respiratory airway. Significant differences were found in ROCK2 protein levels between TO and Sham-TO at 3 and 24 hr, but not for ROCK1. Indeed, IHC revealed that ROCK2 staining was sparse and restricted to a few mesenchymal cells in Sham-TO, whereas it was strong in acini of TO lungs. OH lungs expressed lower levels of ROCK2 in the acini when compared to untouched controls. In fasudil-treated animals, the degree of lung development following TO was significantly lower than in the group injected with vehicle. At the dose regimen used, fasudil did not affect normal lung development, as observed in the untouched animals. In summary, ROCK2 protein levels was affected by the degree of lung expansion and blunting ROCK activity abolished the response to increased lung distension, suggesting that ROCK is a key regulator in TO-induced accelerated 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) | 0.003 | 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".