Genetic Ablation of CD36 Does not Alter Mouse Brain Polyunsaturated Fatty Acid Concentrations
Bibliographic record
Abstract
In the brain, polyunsaturated fatty acids (PUFA), especially arachidonic acid and docosahexaenoic acid (DHA), are required for regulating membrane fluidity, neuronal survival and signal transduction. Since the brain cannot synthesize n-6 and n-3 PUFA de novo, they must be supplied from the blood. However, the methods of PUFA entry into the brain are not agreed upon. This study tested the necessity of CD36, a candidate transporter of unesterified fatty acids, for maintaining brain PUFA concentrations by comparing brain PUFA concentrations in CD36(-/-) mice to their wild-type littermates. Because CD36(-/-) mice have been reported to have impaired learning ability, the PUFA concentrations in different brain regions (cortex, hippocampus, cerebellum and the remainder of brain) were investigated. At 9 weeks of age, the brain was separated into the four regions and fatty acid concentrations in total and phospholipid classes of these brain regions were analyzed using thin layer and gas chromatography. There were no statistical differences in arachidonic acid or DHA concentrations in the different brain regions between wild-type and CD36(-/-) mice, in total or phospholipid fractions. Concentrations of monounsaturated fatty acids were decreased in several phospholipid fractions in CD36(-/-) mice. These findings suggest that CD36 is not necessary for maintaining brain PUFA concentrations and that other mechanisms must exist.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".