Abstract 908: <i>In Vivo</i> Role of the Pharmacogenetics of Glucuronidation in the Disposition and Triglyceride Response to Fenofibrate
Bibliographic record
Abstract
In spite of optimal low-density lipoprotein (LDL-C) lowering with statins, cardiovascular risk remains high for patients with elevated triglyceride (TG)-low high-density cholesterol (HDL-C) profiles. Fenofibric acid, the active moiety of fenofibrate, acts on the peroxisome proliferator-activated nuclear receptor-alpha (PPAR-α) to lower TG and raise HDL-C. The extent of lipid response has been shown to be associated with serum concentrations (conc.) of fenofibric acid. In vitro work confirms fenofibric acid is primarily eliminated by UDP-glucuronosyltransferases (UGTs) including UGT2B7, and others (UGT1A1, UGT1A3 and UGT1A9). Therefore, we hypothesized genetic variations in UGT activity may be associated with fenofibric acid conc. and thus may influence lipid response. Purpose: To test if the A-327G SNP (rs7662029) for UGT2B7, which has been shown to modulate UGT2B7 expression in vitro, is associated with serum conc. of fenofibric acid and TG response in vivo . Methods: As part of the NHLBI sponsored Genetics of Lipid Lowering Drugs and Diet Network (GOLDN) study, participants providing consent and not currently taking lipid lowering medications, were analyzed for fasting lipid response pre and post 21 days of once daily 160mg fenofibrate. TG response was calculated by the log of the ratio of the average of the 2 pre- and post-fenofibrate exposure TG determinations. Associations between UGT2B7 A-327G genotype and steady-state trough fenofibric acid conc. as well as TG response were analyzed by linear regression. Results : 745 participants (51% male) with both genotype and phenotype data were included. The mean (SD) age was 49 (16) years and the median (25 th ,75 th percentile) % change in TG concentrations was -32.3 (−45.2, −19.0). The G allele frequency for UGT2B7A>G was 0.49 and was in HWE (p = 0.8). After adjusting for age, age 2 , sex, alcohol use, height and serum creatinine, strong associations were observed between UGT2B7 A-327G genotypes and steady-state trough fenofibric acid conc. (log-transformed, p = 4 × 10 −8 ) as well as TG response (p = 0.002, also adjusted for baseline TG). Conclusion : This study suggests UGT2B7 A-327G genotype may contribute to TG response by way of influencing glucuronidation activity of fenofibric acid.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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".