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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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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. |
format | Online Article Text |
id | pubmed-7387492 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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