Abstract

Dynamics of interactions between the drugs caffeine, theophylline, and ciprofloxacin are predicted using physiologically-based pharmacokinetic (PBPK) modeling. Pharmacokinetic means the model determines where the drugs are distributed in the body over time. Physiologically-based means the anatomy and physiology of the human body are reflected in the structure and functioning of the model. Multiple drugs can interact to increase or decrease their beneficial and/or undesired effects. This is important because some common substances, such as caffeine in coffee, soft drinks, and energy drinks, are actually drugs that affect the body. Ciprofloxacin is an inhibitor of caffeine and theophylline metabolism; such inhibition can lead to an overdose of caffeine and theophylline, and a reduced therapeutic effect for ciprofloxacin. PBPK modeling can be used by medical professionals to more precisely prescribe drug doses to achieve the desired therapeutic effects while minimizing the unwanted side effects by accounting for all drugs taken concurrently as well as lifestyle choices such as consumption of caffeinated beverages.

Disciplines

Biochemistry | Computational Biology | Pharmacology | Physiology

Mentor

Ali Navid

Lab site

Lawrence Livermore National Laboratory (LLNL)

Funding Acknowledgement

This material is based upon work supported by the S.D. Bechtel, Jr. Foundation and by the National Science Foundation under Grant No. 0952013 and Grant No. 0833353. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the S.D. Bechtel, Jr. Foundation or the National Science Foundation. This project has also been made possible with support of the National Marine Sanctuary Foundation. The STAR program is administered by the Cal Poly Center for Excellence in Science and Mathematics Education (CESaME) on behalf of the California State University (CSU).

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URL: http://digitalcommons.calpoly.edu/star/199

 

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