Increased Myogenic Responses in Uterine but not Mesenteric Arteries from Pregnant Offspring of Diet-Restricted Rat Dams1
Bibliographic record
Abstract
Results of epidemiological and animal studies suggest a link between poor in utero growth and cardiovascular disease in adult offspring. Few studies, however, have examined the effects of maternal undernutrition on the vasculature of pregnant female offspring, and to our knowledge, no studies have examined myogenic responses, which are essential to vascular tone development, in these animal models. Thus, myogenic responses were assessed in radial uterine arteries of pregnant female offspring to determine if diet restriction during pregnancy could contribute to transgenerational effects. These results were compared to those in mesenteric arteries, which greatly contribute to peripheral vascular resistance. Myogenic responses in the presence and absence of inhibitors for nitric oxide synthase (NOS) and prostaglandin H synthase (PGHS) were measured in arteries isolated from pregnant, 3-mo-old female offspring of control-fed (C(off)) and globally diet-restricted (DR(off)) rat dams. Although no differences were found in pregnancy weight gain, litter size, or fetal weights, placental size was significantly reduced in DR(off) compared to C(off). Enhanced myogenic reactivity was observed at the highest pressure tested (110 mm Hg) in uterine, but not in mesenteric, arteries from DR(off) compared to C(off). Inhibition of NOS, but not of PGHS, significantly increased myogenic responses in uterine arteries at pressures greater than 80 mm Hg in C(off) but, interestingly, not in DR(off) compared to untreated uterine arteries. Thus, impaired uterine vascular function in diet-restricted pregnant rat dams, which leads to similar impairment in their pregnant offspring, may be a mechanism through which transgenerational effects of unhealthy pregnancies occur.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
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".