Evidence map›Paper›PMID 26067485›Full record

ArticlePharmacogenomics2015

Multigene predictors of tacrolimus exposure in kidney transplant recipients.

Rebecca A Pulk, David S Schladt, William S Oetting, Weihua Guan, Ajay K Israni, Arthur J Matas, Rory P Remmel, Pamala A Jacobson, DeKAF Investigators

Open access · greenAbstract read
In one paragraph

Article in Pharmacogenomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
4.0field-weighted citation impact, top 7% of its field
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

18 citing papers in PubMed, 36 citations in OpenAlex.

  1. Single-nucleotide polymorphisms of donorAnnals of surgical treatment and research · 2025
    Article
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  5. Frontiers in genetics · 2021
    Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Observational
  12. Article
  13. Genetics of acute rejection after kidney transplantation.Transplant international : official journal of the European Society for Organ Transplantation · 2018
    Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
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

9 authors at 2 institutions in 1 country.

Rebecca A PulkDepartment of Experimental & Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, MN 55455, USA.
David S SchladtDepartment of Nephrology & Chronic Disease Research Group, Minneapolis Medical Research Foundation, Hennepin County Medical Center, MN, USA.
William S OettingDepartment of Experimental & Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, MN 55455, USA.
Weihua GuanDivision of Biostatistics, School of Public Health, University of Minnesota, MN, USA.
Ajay K IsraniDepartment of Nephrology & Chronic Disease Research Group, Minneapolis Medical Research Foundation, Hennepin County Medical Center, MN, USA.
Arthur J MatasDivision of Transplantation, Department of Surgery, University of Minnesota, MN, USA.
Rory P RemmelDepartment of Medicinal Chemistry, College of Pharmacy, University of Minnesota, MN, USA.
Pamala A JacobsonDepartment of Experimental & Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, MN 55455, USA.
DeKAF Investigators
University of Minnesota · USHennepin County Medical Center · US

Funding

Pharmacogenomics of Immune Suppressants in Kidney TransplantationU19AI070119 · NIAID · UNIVERSITY OF MINNESOTA · PI MATAS, ARTHUR J · 2006 to 2016
$17.1M
Long-term Deterioration of Kidney Allograft FunctionU01AI058013 · NIAID · UNIVERSITY OF MINNESOTA TWIN CITIES · PI MATAS, ARTHUR J · 2005 to 2010
$10.2M
NIAID NIH HHS 5U01-AI058013NIAID NIH HHS 5U19-AI070119NIAID NIH HHS U01 AI058013NIAID NIH HHS U19 AI070119
6 · The paper itself

Abstract

aimDetermine the effect of the genetic variants beyond CYP3A5*3 on tacrolimus disposition. PATIENTS &

methodsWe studied genetic correlates of tacrolimus trough concentrations with POR*28, CYP3A4*22 and ABCC2 haplotypes in a large, ethnically diverse kidney transplant cohort (n = 2008).

resultsSubjects carrying one or more CYP3A5*1 alleles had lower tacrolimus trough concentrations (p = 9.2 × 10(-75)). The presence of one or two POR*28 alleles was associated with a 4.63% reduction in tacrolimus trough concentrations after adjusting for CYP3A5*1 and clinical factors (p = 0.037). In subset analyses, POR*28 was significant only in CYP3A5*3/*3 carriers (p = 0.03). The CYP3A4*22 variant and the ABBC2 haplotypes were not associated.

conclusionThis study confirmed that CYP3A5*1 was associated with lower tacrolimus trough concentrations. POR*28 was associated with decreased tacrolimus trough concentrations although the effect was small possibly through enhanced CYP3A4 enzyme activity. CYP3A4*22 and ABCC2 haplotypes did not influence tacrolimus trough concentrations. Original submitted 19 December 2014; Revision submitted 2 April 2015.

Indexed as

Kidney TransplantationAdolescentAdultAgedAged, 80 and overAllelesATP-Binding Cassette, Sub-Family C ProteinsCytochrome P-450 CYP3ACytochrome P-450 Enzyme SystemFemaleGenetic Association StudiesGenotypeHaplotypesHumansImmunosuppressive AgentsMaleABCC2 protein, humanATP-Binding Cassette, Sub-Family C ProteinsCYP3A5 protein, humanCytochrome P-450 CYP3ACytochrome P-450 Enzyme SystemImmunosuppressive AgentsMultidrug Resistance-Associated Protein 2POR protein, humanTacrolimusABCC2calcineurin inhibitorcytochrome P450 3A4 and 3A5kidney transplantpharmacogenomicspharmacokineticsPORtacrolimus

Identifiers

PMID26067485
PMCPMC4527535
OpenAlexW1951619200

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.