Dietary approaches to positively influence fetal determinants of adult health
Bibliographic record
Abstract
An imbalance between production and scavenging of oxidants is a commonality found in factors that result in fetal determinants that negatively affect adult health. We reasoned that a dietary intervention that promotes oxidant scavenging through phase 2 protein induction would have positive effects on fetal programming of adult health. Previously, we demonstrated that a diet containing broccoli sprouts high in glucoraphanin (Grn), precursor of the phase 2 protein inducer sulforaphane, decreased oxidative stress and associated problems in male spontaneously hypertensive stroke-prone rats (SHRsp). We hypothesized that placing females on a Grn-containing (Grn+) diet would have similar positive effects and that the adult offspring of such females would have lower blood pressures and less tissue inflammation than offspring from mothers on control diet. We demonstrate that female SHRsp on a Grn+ diet had decreased oxidative stress and associated problems such as hypertension than females on control diet. The offspring of females on Grn+ diet also had lower blood pressures and less tissue inflammation in adulthood regardless of diet, with offspring placed on a Grn+ diet having the best health outcomes. We conclude that reducing oxidative stress in pregnant females has profound outcomes in the health of their adult offspring.
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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) | 0.002 | 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".