Polymorphisms of Multidrug Resistance Gene (MDR1) and Cyclosporine Absorption in De Novo Renal Transplant Patients
Bibliographic record
Abstract
BACKGROUND: Several single nucleotide polymorphisms (SNPs) in the multidrug resistance (MDR1) gene may play a role in the interindividual variation of cyclosporine A (CsA) absorption in renal transplant patients. METHODS: An analysis of CsA absorption measured by the dose- and weight-adjusted 4 hr area under the time-concentration curve, AUC(0-4)/mg doseCsA/kg, was conducted on day 3 after transplantation, in 69 de novo renal transplant patients who were genotyped for MDR1 SNPs. Follow-up pharmacogenomic analysis at 1 month posttransplant was performed utilizing dose- and weight-adjusted 2-hour postdose CsA concentration (C2). RESULTS: AUC(0-4)/mg doseCsA/kg was significantly higher (P=0.024) in (C/C)3435 individuals than in a grouped population of (C/T)3435 and (T/T)3435 patients on postoperative day 3. G2677T variants were not significantly correlated with CsA absorption (P=0.084). The number of C3435-G2677 haplotypes was the best predictor of CsA exposure. At 1 month posttransplant, no correlation was seen between MDR1 SNPs and CsA exposure. The frequency of wild-type variants for C3435T and G2677T were 61% and 77.6%, respectively. SNPs at G2677T and C3435T loci were found to be in linkage disequilibrium. CONCLUSIONS: MDR1 polymorphisms are associated with differences in CsA exposure only in the first posttransplant week.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".