Evidence map›Paper›PMID 26924289›Full record

ArticleActa pharmacologica Sinica2016

Prediction of tacrolimus metabolism and dosage requirements based on CYP3A4 phenotype and CYP3A5(*)3 genotype in Chinese renal transplant recipients.

Xi Luo, Li-jun Zhu, Ning-fang Cai, Li-yun Zheng, Ze-neng Cheng

Open access · bronzeAbstract read
In one paragraph

Article in Acta pharmacologica Sinica, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.8field-weighted citation impact, top 8% 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

14 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Tacrolimus Dose Requirement inTransplant international : official journal of the European Society for Organ Transplantation · 2024
    Article
  7. An Overview on Anti-COVID-19 Drug Achievements and Challenges Ahead.ACS pharmacology & translational science · 2023
    Review
  8. Paxlovid (Nirmatrelvir/Ritonavir): A new approach to Covid-19 therapy?Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2023
    Review
  9. Impact ofTransplantation direct · 2022
    Article
  10. Article
  11. Tacrolimus troughs and genetic determinants of metabolism in kidney transplant recipients: A comparison of four ancestry groups.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2019
    Observational
  12. Review
  13. Article
  14. Review
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

5 authors at 2 institutions in 1 country.

Xi LuoSchool of Life Sciences, Central South University, Changsha 410083, China.
Li-jun ZhuResearch Center of National Health Ministry on Transplantation Medicine Engineering and Technology, the 3rd Affiliated Hospital of Xiangya Medical Institute, Central South University, Changsha 410013, China.
Ning-fang CaiDepartment of Pharmacy, Zhangzhou Municipal Hospital of Fujian Province, Zhangzhou 363000, China.
Li-yun ZhengSchool of Pharmaceutical Sciences, Central South University, Changsha 410013, China.
Ze-neng ChengSchool of Pharmaceutical Sciences, Central South University, Changsha 410013, China.
Central South University · CNZhangzhou Municipal Hospital of Fujian Province · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo examine how the endogenous CYP3A4 phenotype and CYP3A5(*)3 genotype of Chinese renal transplant recipients influenced the dose-corrected trough concentration (C0/D) and weight-corrected daily dose (D/W) of tacrolimus.

methodsA total of 101 medically stable kidney transplant recipients were enrolled, and their blood and urine samples were gathered. The endogenous CYP3A4 phenotype was assessed by the ratio of 6β-hydroxycortisol and 6β-hydroxycortisone to cortisol and cortisone in urine. CYP3A5(*)3 genotype was determined using PCR-RELP.

resultsIn overall renal transplant recipients, a multiple regression analysis including the endogenous CYP3A4 phenotype, CYP3A5(*)3 genotype and post-operative period accounted for 60.1% of the variability in C0/D ratio; a regression equation consisting of the endogenous CYP3A4 phenotype, post-operative period, body mass index, CYP3A5(*)3 genotype, gender, total bilirubin and age explained 61.0% of the variability in D/W ratio. In CYP3A5(*)3/(*)3 subjects, a combination of the endogenous CYP3A4 phenotype, post-operative period and age was responsible for 65.3% of the variability in C0/D ratio; a predictive equation including the endogenous CYP3A4 phenotype, post-operative period, body mass index, gender and age explained 61.2% of the variability in the D/W ratio. Base on desired target range of tacrolimus trough concentrations, individual daily dosage regimen was calculated, and all the observed daily doses were within the predicted range.

conclusionThis study provides the equations to predict tacrolimus metabolism and dosage requirements based on the endogenous CYP3A4 phenotype, CYP3A5(*)3 genotype and other non-genetic variables.

Indexed as

Kidney TransplantationAsian PeopleCortisoneCytochrome P-450 CYP3AHumansHydrocortisoneImmunosuppressive AgentsTacrolimus6 beta-hydroxycortisol6 beta-hydroxycortisoneCortisoneCYP3A4 protein, humanCYP3A5 protein, humanCytochrome P-450 CYP3AHydrocortisoneImmunosuppressive AgentsTacrolimus

Identifiers

PMID26924289
PMCPMC4820801
OpenAlexW2327280156

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.