Literature DB >> 23085877

Prediction of transporter-mediated drug-drug interactions using endogenous compounds.

M F Fromm1.   

Abstract

Therapy with two or more drugs is more the rule than the exception, particularly in aging societies. Drug-drug interactions are frequently undesirable and may lead to increased toxicity and mortality. Inhibition of transporters is one major mechanism underlying drug-drug interactions. The myriad of potential drug combinations makes it very challenging to predict drug-drug interactions. This Commentary discusses potential advantages and limitations of endogenous compounds for predicting transporter-mediated drug-drug interactions.

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Year:  2012        PMID: 23085877     DOI: 10.1038/clpt.2012.145

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN: 0009-9236            Impact factor:   6.875


  5 in total

1.  N(1)-methylnicotinamide as an endogenous probe for drug interactions by renal cation transporters: studies on the metformin-trimethoprim interaction.

Authors:  Fabian Müller; Constanza A Pontones; Bertold Renner; Maren Mieth; Eva Hoier; Daniel Auge; Renke Maas; Oliver Zolk; Martin F Fromm
Journal:  Eur J Clin Pharmacol       Date:  2014-10-22       Impact factor: 2.953

2.  Urinary 6β-Hydroxycortisol/Cortisol Ratio Most Highly Correlates With Midazolam Clearance Under Hepatic CYP3A Inhibition and Induction in Females: A Pharmacometabolomics Approach.

Authors:  Kwang-Hee Shin; Li Young Ahn; Man Ho Choi; Ju-Yeon Moon; Jieon Lee; In-Jin Jang; Kyung-Sang Yu; Joo-Youn Cho
Journal:  AAPS J       Date:  2016-06-17       Impact factor: 4.009

3.  Comparative Study of the Dose-Dependence of OATP1B Inhibition by Rifampicin Using Probe Drugs and Endogenous Substrates in Healthy Volunteers.

Authors:  Issey Takehara; Takashi Yoshikado; Keiko Ishigame; Daiki Mori; Ken-Ichi Furihata; Nobuaki Watanabe; Osamu Ando; Kazuya Maeda; Yuichi Sugiyama; Hiroyuki Kusuhara
Journal:  Pharm Res       Date:  2018-05-10       Impact factor: 4.200

Review 4.  How drugs get into cells: tested and testable predictions to help discriminate between transporter-mediated uptake and lipoidal bilayer diffusion.

Authors:  Douglas B Kell; Stephen G Oliver
Journal:  Front Pharmacol       Date:  2014-10-31       Impact factor: 5.810

Review 5.  Metabolomics and systems pharmacology: why and how to model the human metabolic network for drug discovery.

Authors:  Douglas B Kell; Royston Goodacre
Journal:  Drug Discov Today       Date:  2013-07-26       Impact factor: 7.851

  5 in total

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