Evidence mapPaperPMID 40980420Full record

ArticleDrug design, development and therapy2025

Population Pharmacokinetic/Pharmacodynamic Modeling of Tacrolimus in Renal Transplant Recipients: Impact of CYP3A5 Genotype and Wuzhi Capsule Co-Medication.

Qiulin Xiang, Yi Yang, Guoxing Li, Song Chen, Yingying Yang, Ling Liu, Xian Yu

Abstract read
In one paragraph

Article in Drug design, development and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

7 authors.

Qiulin XiangDepartment of Phase I Clinical Trial Center, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China.
Yi YangDepartment of Phase I Clinical Trial Center, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China.
Guoxing LiDepartment of Phase I Clinical Trial Center, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China.ORCID 0009-0008-0188-8298
Song ChenDepartment of Phase I Clinical Trial Center, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China.
Yingying YangDepartment of Phase I Clinical Trial Center, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China.
Ling LiuUrinary Nephrophathy Center, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China.
Xian YuDepartment of Phase I Clinical Trial Center, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China.ORCID 0000-0001-5009-2044

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Object: Tacrolimus is a crucial immunosuppressant used to prevent renal transplant rejection. While, long-term application of tacrolimus can lead to several adverse reactions that worsen patient prognosis, such as posttransplantation diabetes mellitus and renal injury. This study developed population pharmacokinetic/pharmacodynamic (PK/PD) models from clinical data to investigate the relationships between tacrolimus dose, exposure, and adverse effects in renal transplant recipients. Methods: Demographics, the CYP3A5 genotype, laboratory results, and co-medications were tested as covariates, and dose simulations were performed based on the final models. The population PK model was described by a one-compartment model with first-order elimination and a fixed absorption rate. The CYP3A5 genotype, Wuzhi (WZ) capsule, and postoperative days were significant covariates of tacrolimus clearance. Fasting plasma glucose (FPG) and estimated glomerular filtration rate (eGFR) were characterized by the trough concentration (C0) of tacrolimus in a PK/linear model and maximal inhibitory effect, respectively. Age significantly influenced the baseline FPG and eGFR. The initial eGFR was strongly affected by hemoglobin. Results: The simulations revealed that patients with CYP3A5*1 treated without WZ capsule, for whom no less than 3 mg q12 h as the initial dose was needed, whereas patients with CYP3A5*3/*3 combined with WZ capsule might experience kidney damage even if the dose is 2 mg q12 h; thus, patients with the CYP3A5*3/*3 genotype combined with WZ capsule are not recommended. Conclusion: The population PK/PD models quantified the relationships between tacrolimus dose, exposure, and adverse effects in renal transplant patients, which could serve as a reference for optimizing the individualized dosage of tacrolimus.

Indexed as

Cytochrome P-450 CYP3AImmunosuppressive AgentsKidney TransplantationModels, BiologicalTacrolimusAdultAgedCapsulesDose-Response Relationship, DrugDrugs, Chinese HerbalFemaleGenotypeHumansMaleMiddle AgedCapsulesCYP3A5 protein, humanCytochrome P-450 CYP3ADrugs, Chinese HerbalImmunosuppressive AgentsTacrolimuswuzhiexposure‒response analysisindividualized treatmentPK/PD modelrenal transplanttacrolimus

Identifiers

PMID40980420
PMCPMC12449878

What Socratic holds

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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 Socratic graph.