Ontogeny of Intestinal Lipid and Lipoprotein Synthesis
Bibliographic record
Abstract
Despite increasing evidence that the fetal intestine produces apoproteins, there is limited knowledge about its ability to absorb fat. The present study focused on the intracellular processing of lipid formation and transport by lipoproteins in the developing fetus. Explants of fetal jejunum (14-20 weeks) were maintained in serum-free organ culture for 42 h with [14C]-oleate. Esterified lipids extracted from the tissue showed an abundance of phospholipids (PL; 54-77%), while those harvested from the medium displayed a predominance for triglycerides (TG; 68-73%). Only a minor percentage of radioactivity was recovered in cholesterol ester (CE) from the tissue (1.8-2.5%) or medium (1.3-2.5%). Separation of PL by thin-layer chromatography revealed a prevalence of phosphatidylcholine followed by phosphatidylethanolamine. Over the fetal period studied a trend towards increase was noted in TG, CE and most of the PL classes but not phosphatidylcholine. In parallel, we observed a progressive increase in these lipoprotein fractions produced by the fetal intestine during development, i.e., chylomicrons, very low-density lipoproteins and high-density lipoproteins. Our data stress not only the ability of the fetal intestine to absorb fat, but also the ontogenetic changes of lipid and lipoprotein synthesis.
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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".