Understanding Abnormal Retinoid Signaling as a Causative Mechanism in Congenital Diaphragmatic Hernia
Bibliographic record
Abstract
Congenital diaphragmatic hernia (CDH) is a frequently occurring source of severe neonatal respiratory distress. It has been hypothesized that abnormal retinoid signaling contributes to the etiology of this developmental anomaly. Here, we use rodent models toward specifically understanding the role of retinoid signaling in the developing diaphragm and how its perturbation is a common mechanism in drug-induced CDH. This includes monitoring of retinoic acid (RA) response element (RARE) activation with RARE-lacZ mice, RA supplementation studies, systematic analyses of the expression profile of key elements in the RA signaling pathway within the developing diaphragm, and the in utero delivery of a RA receptor (RAR) antagonist. These data demonstrate the timing of RARE perturbation by CDH-inducing teratogens and the efficacy of RA supplementation. Furthermore, a detailed profile of retinoid binding proteins, synthetic enzymes, and retinoid receptors within primordial diaphragm cells was obtained. The expression profile of RAR-alpha was particularly striking in regard to its overlap with the regions of primordial diaphragm affected in multiple CDH models. Blocking of RAR signaling with the pan-RAR antagonist BMS493 induced a very high degree of CDH, with a marked left-right sidedness that depended on the timing of drug delivery. Collectively, these data demonstrate that retinoid signaling is essential for normal diaphragm development, providing further support to the hypothesis that abnormalities related to the retinoid signaling pathway cause diaphragmatic defects. This study also yielded a novel experimental model that should prove particularly useful for further studies of CDH.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 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".