Evidence map›Paper›PMID 31409869›Full record

ArticleScientific reports2019

Model based development of tacrolimus dosing algorithm considering CYP3A5 genotypes and mycophenolate mofetil drug interaction in stable kidney transplant recipients.

Jae Hyun Kim, Nayoung Han, Myeong Gyu Kim, Young Won Kim, Hayoung Jang, Hwi-Yeol Yun, Mi-Yeon Yu, In-Wha Kim, Yon Su Kim, Jung Mi Oh

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 18% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Observational
  4. Review
  5. Article
  6. Analyses of AUCJournal of clinical medicine · 2020
    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

10 authors at 3 institutions in 2 countries.

Jae Hyun KimCollege of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul, Republic of Korea.
Nayoung HanCollege of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul, Republic of Korea.
Myeong Gyu KimCollege of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul, Republic of Korea.
Young Won KimCollege of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul, Republic of Korea.
Hayoung JangCollege of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul, Republic of Korea.
Hwi-Yeol YunCollege of Pharmacy, Chungnam National University, Daejeon, Republic of Korea.
Mi-Yeon YuDepartment of Internal Medicine, Hanyang University Guri Hospital, Guri, Republic of Korea.
In-Wha KimCollege of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul, Republic of Korea.
Yon Su KimKidney Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea. yonsukim@snu.ac.kr.
Jung Mi OhCollege of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul, Republic of Korea. jmoh@snu.ac.kr.ORCID http://orcid.org/0000-0002-1836-1707
Seoul National University · KRChungnam National University · KRHanyang University Guri Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study quantifies the interaction between tacrolimus (TAC) and mycophenolate mofetil (MMF) in kidney transplant recipients. Concentrations of TAC, mycophenolic acid (MPA), and metabolites were analyzed and relevant genotypes were determined from 32 patients. A population model was developed to estimate the effect of interaction. Concentrations of TAC were simulated in clinical scenarios and dose-adjusted trough concentrations per dose (C/D) were compared. Effect of interaction was described as the inverse exponential relationship. Major determinants of trough levels of TAC were CYP3A5 genotype and interaction with MPA. The absolute difference in C/D of TAC according to co-administered MMF was higher in CYP3A5 non-expressers (0.55 ng/mL) than in CYP3A5 expressers (0.35 ng/mL). The effect of MMF in determining the TAC exposure is more pronounced in CYP3A5 non-expressers. Based on population pharmacokinetic model, we suggest the TAC dosing algorithm considering the effects of CYP3A5 and MMF drug interaction in stable kidney transplant recipients.

Indexed as

GenotypePharmacogenomic VariantsAdultAgedAlgorithmsAntibiotics, AntineoplasticChromatography, LiquidCytochrome P-450 CYP3ADrug InteractionsDrug MonitoringHumansImmunosuppressive AgentsKidney TransplantationMiddle AgedModels, TheoreticalMycophenolic AcidAntibiotics, AntineoplasticCYP3A5 protein, humanCytochrome P-450 CYP3AImmunosuppressive AgentsMycophenolic AcidTacrolimus

Identifiers

PMID31409869
PMCPMC6692323
OpenAlexW2967984753

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.