Glycerophospholipids and Acyl Group Changes in Rat Brain Capillary Endothelial Cell Fraction and the Liver during Development
Bibliographic record
Abstract
The glycerophospholipid (GPL) content and the acyl group compositions of the ethanolamine and choline glycerophospholipids (EGP, CGP) of the isolated brain capillary cell fractions of the developing rat have been determined. The proportion of EGP/GPL increases during development, whilst CGP/GPL declines: consequently EGP/CGP increases with age. The acyl group compositions of the plasmenylethanolamine (P-GPE) and the diacyl glycerophosphocholine (D-GPC) also change during development, the proportions of saturated fatty acids (SFAs) declining and n-6 groups rising. The rates of accumulation of individual acyl groups of EGP and CGP are highest between the ages of 15 and 20 days; particularly evident is the increase in the medium chain SFAs: 16:0 and 18:0, the monoene 18:1n-9 (oleic acid) and the major-occurring polyunsaturated fatty acid, arachidonic acid, in these GPLs. These changes are compared with those of the liver where the proportion of EGP/CGP remains constant and the acyl group compositions are relatively unchanged during development. Consequently, the rates of accumulation of individual acyl groups of EGP and CGP in liver remain constant or rise slightly during this age period. These results are compared with existing accounts of the desaturation capabilities of brain and liver with age.
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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 | 0.001 | 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".