Developmental regulation of cardiovascular function is dependent on both genotype and environment
Bibliographic record
Abstract
Adverse developmental environments can increase the risk of adult cardiovascular disease, but not all individuals are affected, suggesting the importance of genotype. Genetically distinct mouse strains allow the genetic dissection of complex traits; however, they have not been used to evaluate the developmental origins of adult cardiovascular disease. Our objective was to determine the effect of prenatal nutrient restriction (R) on adult cardiovascular function in A/J (AJ) and C57BL/6J (B6) mice and whether a postnatal high-fat (HF) diet exacerbates these effects. Pregnant AJ and B6 mice underwent a 30% R or ad libitum diet, and their offspring underwent a HF or control diet. Hypertension (+17 mmHg; P<0.001) was observed in B6R mice at 9 wk, and their arterial pressure tended to remain high at 25 wk (+13 mmHg; not significant). In AJR mice, the normal decrement in arterial pressure over this age range in this strain was abolished. Heart rate prematurely increased in B6R and decreased in AJR (all; P<0.05) mice from 9 to 25 wk. There was no effect of postnatal HF diet on these relationships. The Tei index (from a 26-wk microultrasound) was increased in both AJR and B6R mice (all; P<0.05), suggesting an improved global myocardial performance. Neither R nor HF alone changed diastolic (ratio of E wave to A wave) or systolic (%fractional shortening) function in either strain; however, R and HE combined improved diastolic function in B6 (P<0.05) but not in AJ mice. Therefore, there are strain-dependent alterations in adult cardiovascular function in response to prenatal nutrient restriction. Unexpectedly, a postnatal HF diet did not exacerbate the effects of prenatal nutrient restriction on postnatal cardiovascular outcomes.
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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 | 0.000 |
| 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".