Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Determination of the most influential sources of variability in tacrolimus trough blood concentrations in adult liver transplant recipients: a bottom-up approach.

The AAPS journal - 1 May 2014

Gérard Cécile, Stocco Jeanick, Hulin Anne, Blanchet Benoit, Verstuyft Céline, Durand François, Conti Filomena, Duvoux Christophe, Tod Michel

Abstract excerpt

Tacrolimus, an immunosuppressant drug, presents a narrow therapeutic window and a large pharmacokinetic variability with poor correlation between drug dosing regimen and blood concentration. The objective was to identify predictive factors influencing tacrolimus trough concentrations (C0) using a bottom-up approach. A physiologically based pharmacokinetic (PBPK) model of tacrolimus was proposed, taking into...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Aged
Share to Body Weight

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Cytochrome P-450 CYP3A

Share to Immunosuppressive Agents

Share to Intestinal Absorption

Share to Liver Transplantation

Share to Pharmacogenetics

Share to Tacrolimus

Source

Open in PubMed Open full text

Identifiers

PMID: 24526611
DOI: 10.1208/s12248-014-9577-8
PMCID: PMC4012056

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Determination of the most influential sources of variability in tacrolimus trough blood concentrations in adult liver transplant recipients: a bottom-up approach.PMID 24526611Read ↗

Bottom-up modeling and simulation of tacrolimus clearance: prospective investigation of blood cell distribution, sex and CYP3A5 expression as covariates and assessment of study power.Semantic proximity Read ↗

A population pharmacokinetic model for early follow-up dosing of tacrolimus in Tunisian kidney transplant recipients.Semantic proximity Read ↗

Population pharmacokinetic and pharmacogenetic analysis of tacrolimus in paediatric liver transplant patients.Semantic proximity Read ↗

Inclusion of CYP3A5 genotyping in a nonparametric population model improves dosing of tacrolimus early after transplantation.Semantic proximity Read ↗

CYP3A5*3 and CYP3A4*22 Cluster Polymorphism Effects on LCP-Tac Tacrolimus Exposure: Population Pharmacokinetic ApproachSemantic proximity Read ↗

Improved prediction of tacrolimus concentrations early after kidney transplantation using theory-based pharmacokinetic modelling.Semantic proximity Read ↗

Importance of hematocrit for a tacrolimus target concentration strategy.Semantic proximity Read ↗

[Pharmacogenetics of tacrolimus: from bench to bedside?].Semantic proximity Read ↗

Effects of CYP3A5, ABCB1 and POR*28 polymorphisms on pharmacokinetics of tacrolimus in the early period after renal transplantation.Semantic proximity Read ↗

Prediction of the tacrolimus population pharmacokinetic parameters according to CYP3A5 genotype and clinical factors using NONMEM in adult kidney transplant recipients.Semantic proximity Read ↗

Population pharmacokinetic analyses of tacrolimus in non-transplant patients: a systematic review.Semantic proximity Read ↗

Population Pharmacokinetic Models of Tacrolimus in Adult Transplant Recipients: A Systematic Review.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.