Differential enterocyte partitioning of fatty acids in intestinal fatty acid‐binding protein‐null mice (IFABP‐/‐)
Bibliographic record
Abstract
IFABP is expressed at high levels in the mammalian small intestine (SI) and binds the major product of dietary triacylglycerol (TG) digestion, fatty acids (FA). The precise role of IFABP in processing these diet‐derived lipids is unknown. IFABP‐null mice grow normally but have a modest increase in food intake. We investigated the acute metabolism of FA in fasted WT and IFABP −/− SI mucosa in vivo . Two min after intraduodenal administration of [ 14 C]‐oleate, mucosal [ 14 C] was recovered primarily in TG, with no difference between WT and IFABP −/− . However, recovery of [ 14 C] in the phospholipid (PL) fraction was greater in IFABP −/− mice ( p<0.01 ), resulting in a reduced TG/PL ratio. No changes were found in the expression of LFABP or lipid synthetic genes, suggesting the results may be due to a non‐transcriptional, trafficking function of IFABP. Appearance of TG and [ 14 C] in the plasma after an oral gavage of [ 14 C]‐oleate in olive oil was unaffected by IFABP‐ablation, confirming that dietary PL is not a major source for chylomicron PL. Food deprivation increased [ 14 C]‐oleate oxidation in WT and IFABP −/− mucosa similarly, and the expression of genes involved in mitochondrial and peroxisomal FA oxidation were also unchanged. Overall, given the absence of transcriptional changes, the effects of IFABP −/− on metabolism suggest it may be involved in FA trafficking into complex lipids. Source of research support: NIHDK38389 (JS)
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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 | 0.001 | 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".