Dietary Polyunsaturated Fatty Acids in Gestation Alter Fetal Cortical Phospholipids, Fatty Acids and Phosphatidylserine Synthesis
Bibliographic record
Abstract
Docosahexaenoic acid (DHA; 22:6 n-3) is high in brain phosphatidylserine (PS) and phosphatidylethanolamine (PE), but low in phosphatidylcholine (PC). PS is synthesized from PE or PC by exchange of ethanolamine or choline for serine. PS can be decarboxylated to PE, and PC is synthesized from PE by phosphatidylethanolamine N-methyltransferase (PEMT). We characterized the perinatal changes in rat brain cortex phospholipids and metabolism and determined if maternal dietary n-3 fatty acid intake alters newborn brain cortex phospholipids, serine base exchange, PS decarboxylase or PEMT activities. PE became increasingly predominant, with an increase in the cortex PC/PE ratio from 2:1 at gestation day 19 to 1:1 at postnatal day 20. DHA increased and n-6 docosapentaenoic acid (DPA; 22:5 n-6) decreased in all phospholipids during development. [3H]serine incorporation into PS was higher in the fetal than neonatal brain cortex. Newborn rats of dams fed an n-3 fatty acid-deficient diet with 0.02% energy alpha-linolenic acid (ALA; 18:3 n-3) had approximately 50% lower DHA and higher DPA in cortex PE, PS and PC than newborns of rats fed a control diet with 1.5% energy ALA. [3H]serine incorporation into PS was significantly lower in the brain cortex of n-3 fatty acid-deficient than control newborns. n-3 Fatty acid deficiency had no effect on newborn brain PEMT or serine decarboxylase activities. These studies show that maternal dietary n-3 fatty acid deprivation impairs fetal brain DHA accretion and PS metabolism; altered PS metabolism may change release of lipid mediators and neurotransmitter precursors important in brain function.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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".