Maternal iron deficiency: effects on fatty acid and eicosanoid metabolism and spatial memory in the adult guinea pig offspring
Bibliographic record
Abstract
Iron deficiency is the most prevalent worldwide nutritional deficiency. Groups at risk in industrialized countries are infants and pregnant women. The goal of this study was to evaluate the long‐term consequences of maternal iron deficiency on the offspring's fatty acid and eicosanoid metabolism, behavior and spatial memory. Female guinea pigs consumed iron sufficient (IS) and iron deficient (ID) diets for 14 days before mating and throughout pregnancy and lactation. Iron restriction resulted in ID in pregnant females. On post‐natal day (PND) 9, all offspring (ID and IS) were weaned on the IS diet and at 42 days all offspring were iron replete. Locomotion was tested in pups on PND 24 and 40 and spatial memory from day 25 through 40. Pups from the ID group were significantly more active in the open‐field at both times of testing while spatial memory was comparable in both groups. On PND 42, dihomogammalinolenic 20:3(n‐6), docosapentaenoic 22:5(n‐3) and docosahexaenoic 22:6(n‐3) acid content was significantly higher in brain phospholipids of offspring born to ID dams. Prostaglandin E 2 and F 2α concentrations were also significantly higher in brains of offspring born to ID dams. This demonstrates that moderate iron deficiency during gestation and lactation results in alterations of brain fatty acid and eicosanoid metabolism and perturbation in behavior in adult offspring. Funded by CIHR and CRC.
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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 | 0.001 |
| 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".