Back2018 - Mechanistic PK model of Fenofibrate

  public model
Model Identifier
MODEL2003030002
Short description
<notes xmlns="http://www.sbml.org/sbml/level2/version4"> <body xmlns="http://www.w3.org/1999/xhtml"> <p>A mechanistic GI absorption model for quantitatively evaluating the effects of food on fenofibrate absorption was successfully developed, and acceptable parameters were obtained. The mechanism-based PK model of fenofibrate can quantify the effects of food on drug absorption by food type and calorie content. Model is encoded by Matthew Roberts and submitted to BioModels by Krishna Tiwari</p> </body> </notes>
Format
SBML (L2V4)
Related Publication
  • A mechanism-based pharmacokinetic model of fenofibrate for explaining increased drug absorption after food consumption.
  • Back HM, Song B, Pradhan S, Chae JW, Han N, Kang W, Chang MJ, Zheng J, Kwon KI, Karlsson MO, Yun HY
  • BMC pharmacology & toxicology , 1/ 2018 , Volume 19 , Issue 1 , pages: 4 , PubMed ID: 29370865
  • College of pharmacy, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon, 34134, South Korea.
  • BACKGROUND:Oral administration of drugs is convenient and shows good compliance but it can be affected by many factors in the gastrointestinal (GI) system. Consumption of food is one of the major factors affecting the GI system and consequently the absorption of drugs. The aim of this study was to develop a mechanistic GI absorption model for explaining the effect of food on fenofibrate pharmacokinetics (PK), focusing on the food type and calorie content. METHODS:Clinical data from a fenofibrate PK study involving three different conditions (fasting, standard meals and high-fat meals) were used. The model was developed by nonlinear mixed effect modeling method. Both linear and nonlinear effects were evaluated to explain the impact of food intake on drug absorption. Similarly, to explain changes in gastric emptying time for the drug due to food effects was evaluated. RESULTS:The gastric emptying rate increased by 61.7% during the first 6.94 h after food consumption. Increased calories in the duodenum increased the absorption rate constant of the drug in fed conditions (standard meal = 16.5%, high-fat meal = 21.8%) compared with fasted condition. The final model displayed good prediction power and precision. CONCLUSIONS:A mechanistic GI absorption model for quantitatively evaluating the effects of food on fenofibrate absorption was successfully developed, and acceptable parameters were obtained. The mechanism-based PK model of fenofibrate can quantify the effects of food on drug absorption by food type and calorie content.
Contributors
Submitter of the first revision: Krishna Kumar Tiwari
Submitter of this revision: Krishna Kumar Tiwari
Modellers: Krishna Kumar Tiwari

Metadata information

isDescribedBy (1 statement)
PubMed 29370865

hasProperty (1 statement)
Mathematical Modelling Ontology Ordinary differential equation model

Curation status
Non-curated
Modelling approach(es)
ordinary differential equation model
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Model files
Back2018_final.xml SBML L2V4 model file 23.98 KB Preview | Download

Additional files
Back2018_final.cps COPASI 4.27 (Build417) file 52.52 KB Preview | Download
Back2018_final.sedml SEDML file 1.64 KB Preview | Download

  • Model originally submitted by : Krishna Kumar Tiwari
  • Submitted: Mar 3, 2020 3:26:17 PM
  • Last Modified: Mar 5, 2020 12:02:08 PM
Revisions
  • Version: 4 public model Download this version
    • Submitted on: Mar 5, 2020 12:02:08 PM
    • Submitted by: Krishna Kumar Tiwari
    • With comment: Edited model metadata online.
  • Version: 2 public model Download this version
    • Submitted on: Mar 3, 2020 3:26:17 PM
    • Submitted by: Krishna Kumar Tiwari
    • With comment: Edited model metadata online.

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