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Molecular Pharmacology

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Predicting Drug Interactions with Human Equilibrative Nucleoside Transporters 1 and 2 Using Functional Knockout Cell Lines and Bayesian Modeling

Siennah R. Miller, Xiaohong Zhang, Raymond K. Hau, Joseph L. Jilek, Erin Q. Jennings, James J. Galligan, Daniel H. Foil, Kimberley M. Zorn, Sean Ekins, Stephen H. Wright and Nathan J. Cherrington
Molecular Pharmacology December 1, 2020, MOLPHARM-AR-2020-000169; DOI: https://doi.org/10.1124/molpharm.120.000169
Siennah R. Miller
1Pharmacology & Toxicology, University of Arizona, United States of America
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Xiaohong Zhang
2Physiology, University of Arizona, United States
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Raymond K. Hau
3Pharmacology & Toxicology, University of Arizona, United States
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Joseph L. Jilek
1Pharmacology & Toxicology, University of Arizona, United States of America
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Erin Q. Jennings
3Pharmacology & Toxicology, University of Arizona, United States
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James J. Galligan
3Pharmacology & Toxicology, University of Arizona, United States
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Daniel H. Foil
4Collaborations Pharmaceuticals, Inc., United States
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Kimberley M. Zorn
4Collaborations Pharmaceuticals, Inc., United States
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Sean Ekins
4Collaborations Pharmaceuticals, Inc., United States
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Stephen H. Wright
2Physiology, University of Arizona, United States
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  • For correspondence: cherring@pharmacy.arizona.edu
Nathan J. Cherrington
3Pharmacology & Toxicology, University of Arizona, United States
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  • For correspondence: cherring@pharmacy.arizona.edu
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Abstract

Equilibrative nucleoside transporters (ENT) 1 and 2 facilitate nucleoside transport across the blood-testis barrier (BTB). Improving drug entry into the testes with drugs that use endogenous transport pathways may lead to more effective treatments for diseases within the reproductive tract. In this study, CRISPR/Cas9 was used to generate HeLa cell lines in which ENT expression was limited to ENT1 or ENT2. We characterized uridine transport in these cell lines and generated Bayesian models to predict interactions with the ENTs. Quantification of [3H]uridine uptake in the presence of the ENT specific inhibitor S-(4-nitrobenzyl)-6-thioinosine (NBMPR) demonstrated functional loss of each transporter. Nine nucleoside reverse transcriptase inhibitors and thirty-seven nucleoside/heterocycle analogs were evaluated to identify ENT interactions. Twenty-one compounds inhibited uridine uptake and abacavir, nevirapine, ticagrelor, and uridine triacetate had different IC50 values for ENT1 and ENT2. Total accumulation of four identified inhibitors was measured with and without NBMPR to determine if there was ENT-mediated transport. Clofarabine and cladribine were ENT1 and ENT2 substrates, while nevirapine and lexibulin were ENT1 and ENT2 non-transported inhibitors. Bayesian models generated using Assay Central® machine learning software yielded reasonably high internal validation performance (ROC > 0.7). ENT1 IC50-based models were generated from ChEMBL; subvalidations using this training dataset correctly predicted 58% of inhibitors when analyzing activity by percent uptake and 63% when using estimated-IC50 values. Determining drug interactions with these transporters can be useful in identifying and predicting compounds that are ENT1 and ENT2 substrates, and can thereby circumvent the BTB through this transepithelial transport pathway.

Significance Statement This study is the first to predict drug interactions with ENT1 and ENT2 using Bayesian modeling. Novel CRISPR/Cas9 functional knockouts of ENT1 and ENT2 in HeLa S3 cells were generated and characterized. Determining drug interactions with these transporters can be useful in identifying and predicting compounds that are ENT1 and ENT2 substrates, and can circumvent the blood-testis barrier through this transepithelial transport pathway in Sertoli cells.

  • nucleosides
  • Uptake transporters (OATP, OAT, OCT, PEPT, MCT, NTCP, ASBT, etc.)s
  • Copyright © 2020 American Society for Pharmacology and Experimental Therapeutics
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Molecular Pharmacology: 99 (2)
Molecular Pharmacology
Vol. 99, Issue 2
1 Feb 2021
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OtherArticle

Predicting Drug Interactions with ENT1 and ENT2

Siennah R. Miller, Xiaohong Zhang, Raymond K. Hau, Joseph L. Jilek, Erin Q. Jennings, James J. Galligan, Daniel H. Foil, Kimberley M. Zorn, Sean Ekins, Stephen H. Wright and Nathan J. Cherrington
Molecular Pharmacology December 1, 2020, MOLPHARM-AR-2020-000169; DOI: https://doi.org/10.1124/molpharm.120.000169

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OtherArticle

Predicting Drug Interactions with ENT1 and ENT2

Siennah R. Miller, Xiaohong Zhang, Raymond K. Hau, Joseph L. Jilek, Erin Q. Jennings, James J. Galligan, Daniel H. Foil, Kimberley M. Zorn, Sean Ekins, Stephen H. Wright and Nathan J. Cherrington
Molecular Pharmacology December 1, 2020, MOLPHARM-AR-2020-000169; DOI: https://doi.org/10.1124/molpharm.120.000169
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