Literature DB >> 22961681

Mitigating the inhibition of human bile salt export pump by drugs: opportunities provided by physicochemical property modulation, in silico modeling, and structural modification.

Daniel J Warner1, Hongming Chen, Louis-David Cantin, J Gerry Kenna, Simone Stahl, Clare L Walker, Tobias Noeske.   

Abstract

The human bile salt export pump (BSEP) is a membrane protein expressed on the canalicular plasma membrane domain of hepatocytes, which mediates active transport of unconjugated and conjugated bile salts from liver cells into bile. BSEP activity therefore plays an important role in bile flow. In humans, genetically inherited defects in BSEP expression or activity cause cholestatic liver injury, and many drugs that cause cholestatic drug-induced liver injury (DILI) in humans have been shown to inhibit BSEP activity in vitro and in vivo. These findings suggest that inhibition of BSEP activity by drugs could be one of the mechanisms that initiate human DILI. To gain insight into the chemical features responsible for BSEP inhibition, we have used a recently described in vitro membrane vesicle BSEP inhibition assay to quantify transporter inhibition for a set of 624 compounds. The relationship between BSEP inhibition and molecular physicochemical properties was investigated, and our results show that lipophilicity and molecular size are significantly correlated with BSEP inhibition. This data set was further used to build predictive BSEP classification models through multiple quantitative structure-activity relationship modeling approaches. The highest level of predictive accuracy was provided by a support vector machine model (accuracy = 0.87, κ = 0.74). These analyses highlight the potential value that can be gained by combining computational methods with experimental efforts in early stages of drug discovery projects to minimize the propensity of drug candidates to inhibit BSEP.

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Year:  2012        PMID: 22961681     DOI: 10.1124/dmd.112.047068

Source DB:  PubMed          Journal:  Drug Metab Dispos        ISSN: 0090-9556            Impact factor:   3.922


  19 in total

Review 1.  An updated review on drug-induced cholestasis: mechanisms and investigation of physicochemical properties and pharmacokinetic parameters.

Authors:  Kyunghee Yang; Kathleen Köck; Alexander Sedykh; Alexander Tropsha; Kim L R Brouwer
Journal:  J Pharm Sci       Date:  2013-05-07       Impact factor: 3.534

2.  Comparing Machine Learning Algorithms for Predicting Drug-Induced Liver Injury (DILI).

Authors:  Eni Minerali; Daniel H Foil; Kimberley M Zorn; Thomas R Lane; Sean Ekins
Journal:  Mol Pharm       Date:  2020-06-08       Impact factor: 4.939

Review 3.  Molecular Modeling of Drug-Transporter Interactions-An International Transporter Consortium Perspective.

Authors:  Avner Schlessinger; Matthew A Welch; Herman van Vlijmen; Ken Korzekwa; Peter W Swaan; Pär Matsson
Journal:  Clin Pharmacol Ther       Date:  2018-08-30       Impact factor: 6.875

4.  Identification of novel MRP3 inhibitors based on computational models and validation using an in vitro membrane vesicle assay.

Authors:  Izna Ali; Matthew A Welch; Yang Lu; Peter W Swaan; Kim L R Brouwer
Journal:  Eur J Pharm Sci       Date:  2017-02-24       Impact factor: 4.384

Review 5.  Biosynthesis and trafficking of the bile salt export pump, BSEP: therapeutic implications of BSEP mutations.

Authors:  Carol J Soroka; James L Boyer
Journal:  Mol Aspects Med       Date:  2013-05-15

6.  Inhibition of bile salt transport by drugs associated with liver injury in primary hepatocytes from human, monkey, dog, rat, and mouse.

Authors:  Jie Zhang; Kan He; Lining Cai; Yu-Chuan Chen; Yifan Yang; Qin Shi; Thomas F Woolf; Weigong Ge; Lei Guo; Jürgen Borlak; Weida Tong
Journal:  Chem Biol Interact       Date:  2016-03-19       Impact factor: 5.192

Review 7.  Adverse Outcome Pathways and Drug-Induced Liver Injury Testing.

Authors:  Mathieu Vinken
Journal:  Chem Res Toxicol       Date:  2015-07-02       Impact factor: 3.739

8.  Drug properties and host factors contribute to biochemical presentation of drug-induced liver injury: a prediction model from a machine learning approach.

Authors:  Andres Gonzalez-Jimenez; Ayako Suzuki; Minjun Chen; Kristin Ashby; Ismael Alvarez-Alvarez; Raul J Andrade; M Isabel Lucena
Journal:  Arch Toxicol       Date:  2021-03-05       Impact factor: 5.153

9.  Adverse Outcome Pathways as Tools to Assess Drug-Induced Toxicity.

Authors:  Mathieu Vinken
Journal:  Methods Mol Biol       Date:  2016

10.  Scaffold fragmentation and substructure hopping reveal potential, robustness, and limits of computer-aided pattern analysis (C@PA).

Authors:  Vigneshwaran Namasivayam; Katja Silbermann; Jens Pahnke; Michael Wiese; Sven Marcel Stefan
Journal:  Comput Struct Biotechnol J       Date:  2021-05-10       Impact factor: 7.271

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