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Record W2062600926 · doi:10.1097/ftd.0b013e3182a3f282

P450 Oxidoreductase *28 (POR*28) and Tacrolimus Disposition in Pediatric Kidney Transplant Recipients—A Pilot Study

2013· article· en· W2062600926 on OpenAlexaff
Violette Gijsen, Ron H. N. van Schaik, Offie P. Soldin, Steven J. Soldin, Irena Nulman, Gideon Koren, Saskia N. de Wildt

Bibliographic record

VenueTherapeutic Drug Monitoring · 2013
Typearticle
Languageen
FieldMedicine
TopicRenal Transplantation Outcomes and Treatments
Canadian institutionsWestern UniversityHospital for Sick Children
Fundersnot available
KeywordsTacrolimusCYP3A5MedicineGenotypeDosingDispositionPopulationInternal medicineKidney transplantationKidney transplantKidneyGastroenterologyTransplantationPharmacologyUrologyBiology

Abstract

fetched live from OpenAlex

BACKGROUND: Both age and CYP3A5 genotype are important determinants of tacrolimus disposition in pediatric kidney transplant recipients. In a recent study in adults, POR*28 was associated with increased dosing requirements early after transplant of CYP3A5-expressing kidney transplant recipients. The authors aimed to evaluate the additional contribution of POR*28 to early tacrolimus disposition in pediatric kidney transplant recipients. METHODS: Retrospective data of 43 pediatric kidney transplant recipients up to 14 days posttransplant were evaluated on tacrolimus dose and tacrolimus predose blood concentrations. Recipient POR*28 and CYP3A5 genotype were determined. RESULTS: CYP3A5 expressers carrying at least 1 POR*28 allele had on average 18.3% lower tacrolimus predose concentrations and 20.2% lower concentration/dose ratios compared with CYP3A5 expressers with POR*1/*1 genotype (P = 0.002 and P = 0.001, respectively). In CYP3A5 nonexpressers, tacrolimus disposition did not significantly differ between POR genotypes. CONCLUSIONS: In this small cohort of pediatric kidney transplant recipients, POR*28 genotype seems to explain part of the variability found in tacrolimus disposition, in addition to age and CYP3A5 genotype. This finding should be validated in a larger population, and it would be worthwhile to evaluate the clinical impact of this genotype.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.815

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.028
GPT teacher head0.293
Teacher spread0.265 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations34
Published2013
Admission routes1
Has abstractyes

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