Maternal Nutrient Restriction in Pregnant Guinea Pigs and the Impact on Fetal Growth and Brain Development
Bibliographic record
Abstract
Maternal nutrient restriction (MNR) in guinea pigs results in placental structural abnormalities that reduce nutrient transport contributing to fetal growth restriction (FGR). However, whether brain weights are similarly reduced, or preserved by “brain sparing” mechanisms, and whether energy levels are depleted leading to membrane failure and overt injury remains unknown. Guinea pig sows were fed ad libitum (Controls) or 70% of the control diet pre-pregnant switching to 90% at mid-pregnancy (MNR). Animals were necropsied near term for fetal growth measures and fetal brains were assessed for markers of necrotic cell injury, apoptotic cell injury, endoplasmic reticulum stress, and altered development proteins. MNR resulted in FGR with brains that are large relative to body weight and livers that are small relative to body weight, which suggests a degree of blood flow redistribution. These fetuses have reduced brain weights, but with substantial brain sparing, and with no increased necrotic cell injury and no changes in synaptic development, indicating that the threshold for membrane failure or aberrant development with energy depletion has likely not been reached. However, apoptotic indices were increased in FGR-MNR cohort compared to appropriate for gestational age (AGA)-control cohort and more so in males than females. Changes in apoptosis were primarily in hippocampal regions and were not accompanied by significant changes of protein levels of investigated pro-apoptotic factors.
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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 | 0.000 |
| 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".