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Hepatocytic transcriptional signatures predict comparative drug interaction potential of rifamycin antibiotics

Current strategies to treat tuberculosis (TB) and co-morbidities involve multidrug combination therapies. Rifamycin antibiotics are a key component of TB therapy and a common source of drug–drug interactions (DDIs) due to induction of drug metabolizing enzymes (DMEs). Management of rifamycin DDIs ar...

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Autores principales: Dyavar, Shetty Ravi, Mykris, Timothy M., Winchester, Lee C., Scarsi, Kimberly K., Fletcher, Courtney V., Podany, Anthony T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7387492/
https://www.ncbi.nlm.nih.gov/pubmed/32724080
http://dx.doi.org/10.1038/s41598-020-69228-z
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author Dyavar, Shetty Ravi
Mykris, Timothy M.
Winchester, Lee C.
Scarsi, Kimberly K.
Fletcher, Courtney V.
Podany, Anthony T.
author_facet Dyavar, Shetty Ravi
Mykris, Timothy M.
Winchester, Lee C.
Scarsi, Kimberly K.
Fletcher, Courtney V.
Podany, Anthony T.
author_sort Dyavar, Shetty Ravi
collection PubMed
description Current strategies to treat tuberculosis (TB) and co-morbidities involve multidrug combination therapies. Rifamycin antibiotics are a key component of TB therapy and a common source of drug–drug interactions (DDIs) due to induction of drug metabolizing enzymes (DMEs). Management of rifamycin DDIs are complex, particularly in patients with co-morbidities, and differences in DDI potential between rifamycin antibiotics are not well established. DME profiles induced in response to tuberculosis antibiotics (rifampin, rifabutin and rifapentine) were compared in primary human hepatocytes. We identified rifamycin induced DMEs, cytochrome P450 (CYP) 2C8/3A4/3A5, SULT2A, and UGT1A4/1A5 and predicted lower DDIs of rifapentine with 58 clinical drugs used to treat co-morbidities in TB patients. Transcriptional networks and upstream regulator analyses showed FOXA3, HNF4α, NR1I2, NR1I3, NR3C1 and RXRα as key transcriptional regulators of rifamycin induced DMEs. Our study findings are an important resource to design effective medication regimens to treat common co-conditions in TB patients.
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spelling pubmed-73874922020-07-29 Hepatocytic transcriptional signatures predict comparative drug interaction potential of rifamycin antibiotics Dyavar, Shetty Ravi Mykris, Timothy M. Winchester, Lee C. Scarsi, Kimberly K. Fletcher, Courtney V. Podany, Anthony T. Sci Rep Article Current strategies to treat tuberculosis (TB) and co-morbidities involve multidrug combination therapies. Rifamycin antibiotics are a key component of TB therapy and a common source of drug–drug interactions (DDIs) due to induction of drug metabolizing enzymes (DMEs). Management of rifamycin DDIs are complex, particularly in patients with co-morbidities, and differences in DDI potential between rifamycin antibiotics are not well established. DME profiles induced in response to tuberculosis antibiotics (rifampin, rifabutin and rifapentine) were compared in primary human hepatocytes. We identified rifamycin induced DMEs, cytochrome P450 (CYP) 2C8/3A4/3A5, SULT2A, and UGT1A4/1A5 and predicted lower DDIs of rifapentine with 58 clinical drugs used to treat co-morbidities in TB patients. Transcriptional networks and upstream regulator analyses showed FOXA3, HNF4α, NR1I2, NR1I3, NR3C1 and RXRα as key transcriptional regulators of rifamycin induced DMEs. Our study findings are an important resource to design effective medication regimens to treat common co-conditions in TB patients. Nature Publishing Group UK 2020-07-28 /pmc/articles/PMC7387492/ /pubmed/32724080 http://dx.doi.org/10.1038/s41598-020-69228-z Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Dyavar, Shetty Ravi
Mykris, Timothy M.
Winchester, Lee C.
Scarsi, Kimberly K.
Fletcher, Courtney V.
Podany, Anthony T.
Hepatocytic transcriptional signatures predict comparative drug interaction potential of rifamycin antibiotics
title Hepatocytic transcriptional signatures predict comparative drug interaction potential of rifamycin antibiotics
title_full Hepatocytic transcriptional signatures predict comparative drug interaction potential of rifamycin antibiotics
title_fullStr Hepatocytic transcriptional signatures predict comparative drug interaction potential of rifamycin antibiotics
title_full_unstemmed Hepatocytic transcriptional signatures predict comparative drug interaction potential of rifamycin antibiotics
title_short Hepatocytic transcriptional signatures predict comparative drug interaction potential of rifamycin antibiotics
title_sort hepatocytic transcriptional signatures predict comparative drug interaction potential of rifamycin antibiotics
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7387492/
https://www.ncbi.nlm.nih.gov/pubmed/32724080
http://dx.doi.org/10.1038/s41598-020-69228-z
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