Evidence map›Paper›PMID 21671989›Full record

ArticleBritish journal of clinical pharmacology2011

Dosing equation for tacrolimus using genetic variants and clinical factors.

Chaitali Passey, Angela K Birnbaum, Richard C Brundage, William S Oetting, Ajay K Israni, Pamala A Jacobson

Abstract readMulticenter Study
In one paragraph

Article in British journal of clinical pharmacology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
81citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

81 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  18. Calcineurin inhibition may prevent Alzheimer disease in people with Down syndrome.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
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21 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Chaitali PasseyDepartment of Experimental and Clinical Pharmacology, University of Minnesota, Minneapolis, MN 55455, USA.
Angela K Birnbaum
Richard C Brundage
William S Oetting
Ajay K Israni
Pamala A Jacobson

Funding

Pharmacogenomics of Immune Suppressants in Kidney TransplantationU19AI070119 · NIAID · UNIVERSITY OF MINNESOTA · PI MATAS, ARTHUR J · 2006 to 2016
$17.1M
NIAID NIH HHS 5U19-AI070119NIAID NIH HHS U19 AI070119
6 · The paper itself

Abstract

aimTo develop a dosing equation for tacrolimus, using genetic and clinical factors from a large cohort of kidney transplant recipients. Clinical factors and six genetic variants were screened for importance towards tacrolimus clearance (CL/F).

methodsClinical data, tacrolimus troughs and corresponding doses were collected from 681 kidney transplant recipients in a multicentre observational study in the USA and Canada for the first 6 months post transplant. The patients were genotyped for 2,724 single nucleotide polymorphisms using a customized Affymetrix SNP chip. Clinical factors and the most important SNPs (rs776746, rs12114000, rs3734354, rs4926, rs3135506 and rs2608555) were analysed for their influence on tacrolimus CL/F.

resultsThe CYP3A5*1 genotype, days post transplant, age, transplant at a steroid sparing centre and calcium channel blocker (CCB) use significantly influenced tacrolimus CL/F. The final model describing CL/F (l h(-1)) was: 38.4 ×[(0.86, if days 6-10) or (0.71, if days 11-180)]×[(1.69, if CYP3A5*1/*3 genotype) or (2.00, if CYP3A5*1/*1 genotype)]× (0.70, if receiving a transplant at a steroid sparing centre) × ([age in years/50](-0.4)) × (0.94, if CCB is present). The dose to achieve the desired trough is then prospectively determined using the individuals CL/F estimate.

conclusionsThe CYP3A5*1 genotype and four clinical factors were important for tacrolimus CL/F. An individualized dose is easily determined from the predicted CL/F. This study is important towards individualization of dosing in the clinical setting and may increase the number of patients achieving the target concentration. This equation requires validation in an independent cohort of kidney transplant recipients.

Indexed as

PharmacogeneticsAdultCanadaDose-Response Relationship, DrugDrug Dosage CalculationsFemaleGenetic VariationGenotypeHumansImmunosuppressive AgentsKidney TransplantationMaleMiddle AgedModels, BiologicalPolymorphism, Single NucleotideTacrolimusImmunosuppressive AgentsTacrolimus

Identifiers

PMID21671989
PMCPMC3244642

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.