Evidence map›Paper›PMID 37340713›Full record

ArticleClinical and translational science2023

Tacrolimus pharmacokinetics are influenced by CYP3A5, age, and concomitant fluconazole in pediatric kidney transplant patients.

Alaa Alghamdi, Sarah Seay, David K Hooper, Charles D Varnell, Leanna Darland, Tomoyuki Mizuno, Danielle Lazear, Laura B Ramsey

Open access · goldAbstract read
In one paragraph

Article in Clinical and translational science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.3field-weighted citation impact, top 13% 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

10 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Translating real-world evidence/real-world data.Clinical and translational science · 2024
    Article
  9. Article
  10. 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

8 authors at 2 institutions in 2 countries.

Alaa AlghamdiCincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA.
Sarah SeayDepartment of Chemistry, Virginia Tech Center for Drug Discovery, Blacksburg, Virginia, USA.
David K HooperDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA.ORCID 0000-0001-8732-4291
Charles D VarnellDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA.
Leanna DarlandDivision of Pharmacy, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Tomoyuki MizunoDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA.ORCID 0000-0002-8471-9826
Danielle LazearDivision of Pharmacy, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Laura B RamseyDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA.ORCID 0000-0001-6417-3961
Cincinnati Children's Hospital Medical Center · USVirginia Tech · US

Funding

LCenter for Clinical and Translational Science and TrainingUL1TR001425 · NCATS · UNIVERSITY OF CINCINNATI · PI MEINZEN-DERR, JAREEN, STRAWN, JEFFREY ROBERT · 2015 to 2024
$37.5M
NCATS NIH HHS UL1 TR001425
6 · The paper itself

Abstract

Tacrolimus, the most common immunosuppressant for organ transplant, has a narrow therapeutic range and is metabolized by CYP3A4/5. Trough concentration monitoring and dosing adjustments are used to reach a therapeutic range. CYP3A5 intermediate and normal metabolizers (*1 allele carriers; IM/NM) demonstrate faster tacrolimus metabolism than poor metabolizers (PM). We analyzed the electronic health records of 93 patients aged <21 years for the first 8 weeks after a kidney transplant between January 2010 and December 2021. The target tacrolimus trough was 10-15 ng/mL in the first 4 weeks and 7-10 ng/mL in the next 4 weeks. Banked DNA was collected and genotyped for CYP3A5*3, *6, *7, and *8 alleles. We found that CYP3A5 IM/NM (n = 21) took longer than PM (n = 72) to reach the therapeutic range (7 vs. 4 days, p = 0.048). IM/NM had more dose adjustments (8 vs. 6, p = 0.025) and needed >150% of the required daily dose compared with PM. The concentration/dose ratio was influenced by age and concomitant fluconazole (p = 0.0003, p = 0.034, respectively) and the average daily dose decreases with age in CYP3A5 PM (p = 0.001). Tremors were more common in patients who ever had a trough concentration >15 ng/mL compared with those who never had a trough concentration >15 ng/mL (OR 3.31, 95% CI 1.03-8.98, p = 0.038). Using standard dosing, CYP3A5 IM/NM took longer to reach the goal range and require more dose adjustments and higher doses than PM. Preemptive genotyping could decrease the number of dose changes necessary to reach a therapeutic dose. We have implemented pre-transplant CYP3A5 testing at our institution.

Indexed as

Kidney TransplantationTacrolimusChildCytochrome P-450 CYP3ADose-Response Relationship, DrugFluconazoleGenotypeHumansImmunosuppressive AgentsPolymorphism, Single NucleotideCYP3A5 protein, humanCytochrome P-450 CYP3AFluconazoleImmunosuppressive AgentsTacrolimus

Identifiers

PMID37340713
PMCPMC10582663
OpenAlexW4381469790

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.