Noninvasive High‐Resolution Ultrasound Reveals Structural and Functional Deficits in Dimethadione‐Exposed Fetal Rat Hearts In Utero
Bibliographic record
Abstract
BACKGROUND: We previously showed dimethadione (DMO), the N-demethylated metabolite of the anticonvulsant trimethadione, induces ventricular septation defects (VSD) and other heart anomalies in rat (Weston et al., 2011). Because of the relationship between cardiac structure and function, we hypothesized that DMO-induced structural defects of the heart are associated with in utero functional deficits. To test the hypothesis, the goals were (1) define the parameters for ultrasound in the rat conceptus, and; (2) use ultrasound to identify structural and functional deficits following DMO treatment. METHODS: Different ultrasound modes (B-mode, M-mode, and Pulse-wave Doppler) using four high-resolution ultrasound transducer heads of varying frequency (25-40 MHz) were tested on gestational day (GD) 14, 15, 16, 17, and 21. Having identified the optimal conditions, pregnant Sprague-Dawley rats were administered six 300 mg/kg doses of DMO every 12 hr beginning at 19:00 hr on GD 8 to generate conceptuses with a high incidence of VSD. RESULTS: The three ultrasound modalities were used to identify VSD and several novel and rare structural heart anomalies (cardiac effusions and bifurcated septum) in live rat fetuses. DMO-treated hearts had an array of functional deficits including a decrease in mean heart rate, ejection fraction, and cardiac output and increased incidence of bradycardia and dysrhythmia. CONCLUSIONS: The ultrasound biomicroscope is an effective tool for the real-time characterization of the structure and function of embryo/fetal rat hearts. DMO causes significant deficits to in utero heart function for up to ten days (GD 21) following its final administration, suggesting long-term or possible permanent changes cardiac function.
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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) | 0.001 | 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".