Polymorphisms of ATP binding cassette G5 and G8 transporters: their effect on cholesterol metabolism after moderate weight loss in overweight and obese hyperlipidemic women
Bibliographic record
Abstract
Objective To determine the effect of polymorphisms ABCG5 and ABCG8 transporters on changes in lipid levels, cholesterol absorption rate (ABS), fractional synthesis rate (FSR), and turnover (TO) after moderate weight loss (WL) in women. Design Cholesterol metabolism was measured pre and post WL in 35 hyperlipidemic women (BMI 28–39 kg/m 2 ) 35–60 yr after a 6 mo weight loss trial. ABS was measured using the dual isotope ratio method, FSR by D 7 labelled water incorporation, and TO by D 7 cholesterol decay. Single nucleotide polymorphisms (SNP) C1950G, I18429 , I7892, and M216 on ABCG5, and C54Y, D19H, I14222 , and T400K on ABCG8 were determined using PCR‐based TaqMan allele discrimination assays Results Mean WL was 11.7±2.5 kg ( P< 0.0001). ABS changes were related to C1950G SNP. Individuals with the G/G genotype had significantly decreased (16.9%±3.0%), whereas individuals with the C/C and C/G genotypes had increased (4.4%±13.2% and 5.5%±13.7%, respectively) rates of ABS in response to WL. Absolute WL was similar among C1950G genotypes. There was no effect of ABCG5 or ABCG8 SNPs on changes in lipid level after WL. Changes in ABS, FSR and TO after WL were similar among other SNPs. Conclusion C1950G SNP on ABCG5 may predict individuals who would benefit from therapies that alter rates of cholesterol absorption. *This project was funded by CIHR. SS was funded by NSERC.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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".