Evidence map›Paper›PMID 32987693›Full record

ArticleInternational journal of molecular sciences2020

Prediction of Cyclosporin-Mediated Drug Interaction Using Physiologically Based Pharmacokinetic Model Characterizing Interplay of Drug Transporters and Enzymes.

Yiting Yang, Ping Li, Zexin Zhang, Zhongjian Wang, Li Liu, Xiaodong Liu

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.8field-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

19 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
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  6. Understanding Cisplatin Pharmacokinetics and Toxicodynamics to Predict and Prevent Kidney Injury.The Journal of pharmacology and experimental therapeutics · 2024
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  14. Protein Abundance of Drug Transporters in Human Hepatitis C Livers.International journal of molecular sciences · 2022
    Article
  15. Regulation of Blood-Brain Barrier Transporters by Transforming Growth Factor-Drug metabolism and disposition: the biological fate of chemicals · 2022
    Article
  16. Article
  17. Article
  18. Article
  19. 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

6 authors at 2 institutions in 1 country.

Yiting YangCenter of Drug Metabolism and Pharmacokinetics, China Pharmaceutical University, Nanjing 210009, China.ORCID 0000-0001-9902-793X
Ping LiCenter of Drug Metabolism and Pharmacokinetics, China Pharmaceutical University, Nanjing 210009, China.
Zexin ZhangCenter of Drug Metabolism and Pharmacokinetics, China Pharmaceutical University, Nanjing 210009, China.
Zhongjian WangJiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, Xuzhou 221004, China.
Li LiuCenter of Drug Metabolism and Pharmacokinetics, China Pharmaceutical University, Nanjing 210009, China.
Xiaodong LiuCenter of Drug Metabolism and Pharmacokinetics, China Pharmaceutical University, Nanjing 210009, China.
China Pharmaceutical University · CNXuzhou Medical College · CN

Funding

National Natural Science Foundation of China No. 81573490
6 · The paper itself

Abstract

Uptake transporter organic anion transporting polypeptides (OATPs), efflux transporters (P-gp, BCRP and MRP2) and cytochrome P450 enzymes (CYP450s) are widely expressed in the liver, intestine or kidney. They coordinately work to control drug disposition, termed as "interplay of transporters and enzymes". Cyclosporine A (CsA) is an inhibitor of OATPs, P-gp, MRP2, BCRP and CYP3As. Drug-drug interaction (DDI) of CsA with victim drugs occurs via disordering interplay of transporters and enzymes. We aimed to establish a whole-body physiologically-based pharmacokinetic (PBPK) model which predicts disposition of CsA and nine victim drugs including atorvastatin, cerivastatin, pravastatin, rosuvastatin, fluvastatin, simvastatin, lovastatin, repaglinide and bosentan, as well as drug-drug interactions (DDIs) of CsA with nine victim drugs to investigate the integrated effect of enzymes and transporters in liver, intestinal and kidney on drug disposition. Predictions were compared with observations. Most of the predictions were within 0.5-2.0 folds of observations. Atorvastatin was represented to investigate individual contributions of transporters and CYP3As to atorvastatin disposition and their integrated effect. The contributions to atorvastatin disposition were hepatic OATPs >> hepatic CYP3A > intestinal CYP3As ≈ efflux transporters (P-gp/BCRP/MRP2). The results got the conclusion that the developed PBPK model characterizing the interplay of enzymes and transporters was successfully applied to predict the pharmacokinetics of 10 OATP substrates and DDIs of CsA with 9 victim drugs.

Indexed as

AtorvastatinBiological TransportComputer SimulationCyclosporineCytochrome P-450 CYP3ADrug InteractionsEnzyme InhibitorsHumansIntestinesLiverModels, BiologicalAtorvastatinCyclosporineCytochrome P-450 CYP3AEnzyme Inhibitorsdrug–drug interactiondrug transporterspharmacokineticsphysiologically based pharmacokinetic modelthe interplay of transporters and enzymes

Identifiers

PMID32987693
PMCPMC7582433
OpenAlexW3089092537

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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.