The effect of Iron Deficient Diets (with or without LC‐PUFA) on the Offspring Brain Lipid and Eicosanoid Metabolism during Pre‐Postnatal Development
Bibliographic record
Abstract
Objectives We previously found that an iron deficient diet (ID) devoid in long chain polyunsaturated fatty acids (LC‐PUFA, n‐6:n‐3=59:1) fed to pregnant and lactating guinea pigs resulted in a large spectrum of auditory alterations in the peripheral neurophysiology in the offspring. Unexpectedly, we found that adding physiological amount of LC‐PUFA (n‐6:n‐3=11:1) to this ID diet induced minor impairments. The aim of the present study was to evaluate the impact of the (ID) diets (with or without LC‐PUFA) on Δ6‐desaturase expression, COX II protein and prostaglandin levels in the brain of these pups. Methods In experiment 1, female guinea pigs were fed an iron sufficient (IS) or iron deficient (ID) diet devoid in LC‐PUFA during the gestation and lactation periods. In experiment 2, female guinea pigs were fed the IS or ID diet in the presence of physiological quantities of LC‐PUFA. After weaning, from postnatal day 9 (PNd9) onward, the IS and IS+LC‐PUFA diets were given to pups in experiment 1 and 2, respectively. Brains and other tissues were collected on PNd24. Summary of results In both experiments, the brain COX II protein levels were unaffected in the ID and ID+LC‐PUFA siblings. In experiment 2, however, PGE 2 brain concentrations were reduced in ID+LC‐PUFA compared to IS+LC‐PUFA pups. Similarly, the offspring born to dams fed the ID+LC‐PUFA diet also exhibited a trend for a reduced brain Δ6‐desaturase expression. Conclusion These experiments are showing that the addition of LC‐PUFA to a diet know to induce a mild iron deficiency have an impact on specific markers of brain lipid‐eisosanoid metabolism. However, the physiological outcomes of these central nervous system changes are unknown. Support or Funding Information Funded by the Canadian Institutes of Health Research
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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".