Identification of novel functional organic anion-transporting polypeptide 1B3 polymorphisms and assessment of substrate specificity
Bibliographic record
Abstract
OBJECTIVE: The uptake carrier organic anion-transporting polypeptide 1B3 (OATP1B3, gene SLCO1B3) is involved in the hepatic clearance of xenobiotics including statins, taxanes, and mycophenolic acid. We thought to assess the SLCO1B3 coding region for yet unidentified polymorphisms and to analyze their functional relevance. METHODS: We used DNA of ethnically diverse individuals for polymerase chain reaction, and determined polymorphisms by sequencing or temperature-dependent capillary electrophoresis. We then created variant OATP1B3 expression plasmids by site-directed mutagenesis, which were transiently expressed and functionally characterized in human cervical carcinoma (HeLa) cells using radiolabeled substrates. RESULTS: We identified six nonsynonymous polymorphisms including novel variants such as 439A>G (Thr147Ala), 767G>C (Gly256Ala), 1559A>C (His520Pro), and 1679T>C (Val560Ala). Allelic frequencies occurred to be ethnicity-dependent, with the latter observed only in African-Americans (3.6%). After expression in HeLa cells, His520Pro, Val560Ala, and Met233Ile or Met233Ile_Ser112Ala haplotype variants showed decreased uptake activity compared with wild type for cholecystokinin-8 and rosuvastatin, but not for atorvastatin. Kinetic cholecystokinin-8 analysis showed reduced Vmax without altering Km. His520Pro and Val560Ala exhibited decreased total and plasma membrane protein expressions. Val560 mapped onto a structural model of OATP1B3 showed that this is a key region for substrate-transporter interaction. His520 resides in a predicted extracellular region thought to be critical to the pH-dependent component of OATP1B3 activity. Loss of activity at pH 7.4 and 8.0 relative to pH 6.5 was significantly greater for the Pro520 variant. CONCLUSION: OATP1B3 polymorphisms that result in altered expression, substrate specificity, and pH-dependent activity may be of potential relevance to hepatic clearance of substrate drugs in vivo.
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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) | 0.000 | 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".