010. PERICONCEPTIONAL UNDERNUTRITION: LIFE-LONG EFFECTS FOR THE OFFSPRING
Bibliographic record
Abstract
Poor nutrition in women of child-bearing age is common, even in Western countries. It has been estimated that approximately 30% of women of child-bearing age in affluent cities such as Sydney and Southampton are either actively dieting or have a nutritional intake that does not meet daily recommended requirements for all nutrients. We have investigated the effect of reduced maternal nutrition before and around the time of conception on fetal growth and development, and have followed offspring through to adulthood. In this paradigm, ewes were fed to lose 10–15% of their body weight and then to gain weight according to conceptus mass. Control ewes were well fed throughout. Different timing and duration of undernutrition in the periconceptional period were utilised to investigate the most critical window for fetal development. Periconceptional undernutrition resulted in accelerated development of the fetal hypothalamic-pituitary-adrenal (HPA) and glucose-insulin axes in late gestation, and preterm birth. Offspring of periconceptionally undernourished ewes demonstrated altered laterality and an altered response to isolation stress; HPA axis function was also suppressed. As offspring aged, glucose tolerance decreased and became significantly impaired by young adulthood compared with control offspring. The effects of maternal undernutrition on offspring were modified by offspring sex and also by being one of a twin pair. Interestingly, our data also demonstrate that conception as a twin, regardless of maternal nutritional status, also affects all these outcomes but in a different way to maternal undernutrition. Preliminary data suggest that epigenetic changes in feeding centres of the hypothalamus may play a role in the mechanism behind some of these effects. These studies suggest that even moderate maternal undernutrition in very early pregnancy has life-long effects. Should this also be true in humans, then health care messages for women may need to be targeted prior to pregnancy.
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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) | 0.006 | 0.001 |
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".