Mechanisms regulating brain docosahexaenoic acid uptake
Bibliographic record
Abstract
PURPOSE OF REVIEW: To summarize recent advances pertaining to the mechanisms regulating brain docosahexaenoic acid (DHA) uptake. DHA is an omega-3 polyunsaturated fatty acid highly enriched in neuronal membranes and it is implicated in several important neurological processes. However, DHA synthesis is extremely limited within the brain. RECENT FINDINGS: There are two main plasma pools that supply the brain with DHA: the nonesterified pool and the lysophosphatidylcholine (lysoPtdCho) pool. Quantitatively, plasma nonesterified-DHA (NE-DHA) is the main contributor to brain DHA. Fatty acid transport protein 1 (FATP1) in addition to fatty acid-binding protein 5 (FABP5) are key players that regulate brain uptake of NE-DHA. However, the plasma half-life of lysoPtdCho-DHA and its brain partition coefficient are higher than those of NE-DHA after intravenous administration. SUMMARY: The mechanisms regulating brain DHA uptake are more complicated than once believed, but recent advances provide some clarity notably by suggesting that FATP1 and FABP5 are key contributors to cellular uptake of DHA at the blood-brain barrier. Elucidating how DHA enters the brain is important as we might be able to identify methods to better deliver DHA to the brain as a potential therapeutic.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".