Cross sectional and postprandial phenotypes of human subjects with the T54 variant of fatty acid-binding protein 2 (FABP2) gene and the effect of different fat sources
Bibliographic record
Abstract
In conclusion, the A54T polymorphism results in a diet-gene interaction with the T54 group having increased chylomicron cholesterol after the olive oil-containing test only; however, the proportions of fatty acids within chylomicrons were not affected. Nevertheless, the greater hepatic insulin clearance in T54 carriers suggests that the polymorphism may not be deleterious in nonobese subjects. Fifty-two nonobese subjects were screened for the T54 variant of FABP2 and there were no significant mean differences in body mass index (BMI), fasting plasma insulin, or lipids in the A54 and T54 groups. However, there were positive correlations between triacylglycerols (TGs) and BMI (r = 0.72) and TGs and insulin (r = 0.67), and a negative correlation between high-density lipoprotein cholesterol and insulin (r = -0.63) in T54 subjects, which were not significant in the A54 homozygotes. Thus, phenotypic associations vary with FABP2 genotype in a nonobese group despite the absence of mean differences between FABP2 genotypes. Twenty-two of the above subjects, eleven A54 homozygotes and 11 T54 carriers, ingested 3 oral fat-tolerance tests (butter, safflower, and olive oils) and postprandial lipids, glucose and insulin were measured. There was no effect of FABP2 genotype for chylomicron TG, glucose, or C-peptide. Insulin area under the curve (AUC) and insulin to C-peptide ratio were lower in T54 carriers compared to A54 homozygotes, suggesting greater hepatic insulin clearance. The association of genotype with chylomicron cholesterol was seen only after olive oil, with T54 carriers having greater chylomicron cholesterol than A54 homozygotes. The main effect of fat was significant for chylomicron cholesterol and TG with safflower and olive oils producing a greater response than butter. Peak chylomicron fatty acid proportions did reflect those of the ingested fats; however, there was no effect of genotype. These results indirectly support improved intracellular trafficking, increased chylomicron formation, and decreased portal fat absorption in T54 carriers.
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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".